One of the most common tumors is hepatocellular carcinoma (HCC), and the prognosis for late-stage HCC is still not good. It is anticipated that improved outcomes would result from a deeper comprehension of the pathophysiology of HCC. Ferroptosis as a new discovered cell death type is linked to the progression of HCC and may be crucial for its detection, prevention, therapy, and prognosis. Numerous studies suggest that epigenetic alterations mediated by non-coding RNAs (ncRNA) might influence cancer cell susceptibility to ferroptosis. This study elucidates the processes of ferroptosis and delineates the paths by which ncRNAs influence HCC by modulating ferroptosis. Furthermore, it offers significant insights into ferroptosis-associated ncRNAs, intending to discover novel therapeutic approaches for HCC. It also explores innovative concepts for the future use of ncRNA-based ferroptosis-targeted therapeutics.
Background:Lung adenocarcinoma (LUAD) is a common type of lung cancer and one of the leading causes of cancer death worldwide. Long non-coding RNAs (lncRNAs) play a crucial role in tumors. The purpose of this study was to explore the expression of lncRNAs associated with RNA methylation modification and their prognostic value in LUAD. Methods:The RNA sequencing and clinical data were downloaded from The Cancer Genome Atlas dataset, and the messenger RNA and lncRNAs were annotated by Ensemble. The lncRNAs related to RNA methylation regulators (RMlncRNAs) were filtered by Pearson correlation analysis between differentially expressed lncRNAs and RNA methylation regulators. Univariate Cox regression analysis, multivariate Cox regression analysis, and least absolute shrinkage and selection operator regression analysis were used to construct a prognostic model. The receiver operating characteristic curve (ROC) was plotted to validate the predictive value of the prognostic model. Then, tumor mutational burden (TMB) and microsatellite instability were used to compare the immunotherapy response. Finally, to perform a drug sensitivity analysis, the half-maximal inhibitory concentration (IC50) of targeted drugs was calculated using pRRophetic package. Results:In total, 18 RMlncRNAs associated with the prognosis of LUAD patients were identified. Then, six feature lncRNAs (NFYC-AS1, OGFRP1, MIR4435-2HG, TDRKH-AS1, DANCR, and TMPO-AS1) were used to construct a prognostic model. The ROC curves for training, testing, and validation sets showed that the prognosis model was effective. The subindex based on the prognostic model had a high correlation with TMB. The high-risk group might be subject to greater immune resistance according to the comparison of Tumor Immune Dysfunction and Exclusion scores. Finally, the IC50 of 11 drugs had differences between high- and low-risk group, and only three of the drug's target genes (ERBB4, CASP8, and CD86) were differentially expressed. Conclusions:In conclusion, a prognostic model based on six feature lncRNAs (NFYC-AS1, OGFRP1, MIR4435-2HG, TDRKH-AS1, DANCR, and TMPO-AS1) was constructed by bioinformatics analysis, which might provide a new insight into the evaluation and treatment of LUAD.
Colorectal cancer (CRC) is one of the most lethal and prevalent malignancies. While the overexpression of pioneer factor GATA6 in CRC has been linked with metastasis, its role in genome-wide gene expression dysregulation remains unclear. Through studies of primary human CRC tissues and analysis of the TCGA data, we found that GATA6 preferentially binds at CRC-specific active enhancers, with enrichment at enhancer-promoter loop anchors. GATA6 protein also physically interacts with CTCF, suggesting its critical role in 3D genome organization. The ablation of GATA6 through AID and CRISPR systems severely impaired cancer cell clonogenicity and proliferation. Mechanistically, GATA6 knockout induced global loss of CRC-specific open chromatins and extensive alterations of critical enhancer-promoter interactions for CRC oncogenes. Last, we showed that GATA6 knockout greatly reduced tumor growth and improved survival in mice. Together, we revealed a previously unidentified mechanism by which GATA6 contributes to the pathogenesis of colorectal cancer.
Abstract Colorectal cancer (CRC) is one of the most lethal and prevalent malignancies with elusive molecular causes. While the abnormal activity of transcription factors has been reported as a vital component of cancer progression, the mechanism through which they function remains unclear. Here, through the analysis of primary human CRC tissue data, we identified GATA6 as a CRC specific regulator, whose expression upregulation is potentially associated with promoter hypomethylation. In the human genome, GATA6 showed preferential binding at tumor specific active enhancers. Through both auxin-inducible degron (AID) and CRISPR knockout, we showed that GATA6 depletion severely impaired clonogenicity and proliferation. GATA6 depletion caused the loss of CRC specific open chromatin, suggesting a specific regulatory role of GATA6 in CRC pathogenesis. Interestingly, we also discovered the co-occupancy of GATA6 with CTCF and its direct involvement in promoter enhancer loops, suggesting the possibility that GATA6 mediate transcriptional regulation through 3D genome. The loss of GATA6 led to alterations in E-P chromatin interactions of a panel of oncogenes, accompanied by the oncogene downregulation. Finally, we showed that GATA6 loss is detrimental to the xenograft tumor growth and thereby rescued mice survival. Taken together, we unrevealed a novel mechanism by which GATA6 contributes to CRC. Citation Format: Huijue Lyu, Xintong Chen, Yang Cheng, Te Zhang, Ping Wang, Josiah Hiu-yuen Wong, Juan Wang, Lena Stasiak, Leyu Sun, Guangyu Yang, Lu Wang, Feng Yue. GATA6 is a novel regulator of gene expression and 3D genome in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4401.
BACKGROUND:Myocardial fibrosis can result in right ventricular (RV) dysfunction, a critical factor in poor clinical outcomes and high mortality rates among patients with pulmonary hypertension (PH). Decreased RV myocardial strain rates have been reported in PH patients. The expression of FOXO3A may play a crucial role in myocardial fibrosis; however, the relationship between myocardial fibrosis, speckle-tracking echocardiography (STE), and the transcription factor FOXO3A remains unclear. This study aimed to explore the relationship between the molecular mechanisms of myocardial fibrosis and noninvasive ultrasound evaluation indices to provide a reliable molecular foundation for the early diagnosis of right heart dysfunction in clinical settings.METHODS:A progressive right heart failure (RHF) rat model was established through subcutaneous injections of monocrotaline. Rats were divided into baseline, 2-week, 4-week, and 6-week groups based on the disease course. RV structure, function, and myocardial strain were assessed via echocardiography. Myocardial fibrosis severity was determined using PSR staining. The correlation between myocardial strain and RV myocardial fibrosis was analyzed. FOXO3A, collagen I, collagen III, and BNP expressions were tested using western blotting.RESULTS:As the disease progressed, the right ventricle significantly expanded, and the RV fractional area change (FAC), tricuspid annular plane systolic excursion (TAPSE), RV global longitudinal strain (RVLS global), and RV free wall longitudinal strain (RVLS FW) gradually declined. However, the reductions in RVLS global and RVLS FW occurred earlier than that of RVFAC, TAPSE. Significant correlations were observed between RVLS global, RVLS FW, and collagen deposition. FOXO3A expression gradually decreased with disease progression, while BNP, collagen I, and collagen III expressions gradually increased.CONCLUSIONS:Decreases in RVLS global and RVLS FW in RHF rats occurred earlier than RVFAC and were associated with RV myocardial fibrosis. Furthermore, FOXO3A may have a protective role in the process of RV myocardial fibrosis.
RHBDD1 overexpression is found in various malignancies, including non-small cell lung cancer (NSCLC), and it is correlated with NSCLC patients' poor overall survival. This study aims to explore the function of RHBDD1 in regulating the progression of NSCLC and its potential molecular basis. qPCR, immunohistochemistry, and/or western blotting were used to evaluate the expression of RHBDD1 in NSCLC tissues and cell lines. RHBDD1 knockdown and overexpression were performed, CCK-8 assay and cell clone formation were applied to study the function of RHBDD1 in cell proliferation in vitro. Flow cytometry and immunofluorescence tests were employed to determine the regulation of apoptosis, cell cycle, and endoplasmic reticulum stress by RHBDD1. As a result, RHBDD1 was found significantly upregulated in NSCLC tissues and cells and associated with pathological tumor staging. RHBDD1 knockdown inhibited the proliferation of NSCLC cells both in vitro and in vivo, promoted their apoptosis, caused cell cycle arrest at G0/G1 phase, characterized with reduced CDK2, suppressed TGF-α secretion, and inhibited the EGFR/Raf/MEK/ERK signaling pathway. In contrast, RHBDD1 overexpression showed the opposite effects. These effects of the manipulated expression of RHBDD1 on NSCLC were restored by EGFR or MEK inhibitor. Additionally, RHBDD1 knockdown and overexpression resulted in decreased and increased BIK cleavage, respectively, but the effects could be blocked by a proteasome inhibitor. In conclusion, our research shows that RHBDD1 promotes the progression of NSCLC through enhancement of proliferation and induction of apoptosis by regulating the EGFR/Raf/MEK/ERK signaling pathway and the level of BIK protein level.
Background: Lung adenocarcinoma (LUAD) is the most common subtype of lung malignancy. However, the expression of cell division cycle-associated protein-3 (CDCA3) and its significance in LUAD remain unclear. In this study, we investigated the functional role of CDCA3 in LUAD through bioinformatics analysis and expected to provide a new direction for clinical treatment. Methods: The expression of CDCA3 was analyzed by online database. The association between the expression of CDCA3 and clinical parameters with LUAD was explored in TCGA. Survival and independent prognostic analysis were performed by TCGA database and the GSE30219 and GSE31210 datasets. Furthermore, Enrichment analyses were conducted to analyze the functions of CDCA3. Afterward, the relationship between CDCA3 and immune infiltration was investigated. Additionally, a competing endogenous RNA (ceRNA) regulatory network related to CDCA3 was constructed. Finally, CDCA3 expression was validated in clinical tissues by immunohistochemistry (IHC), real-time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), and western blotting (WB). Results: CDCA3 expression was upregulated in 20 tumors and was significantly higher in LUAD compared with normal tissues in3 datasets. In addition, CDCA3 was significantly correlated with age, gender, stage, N, and smoking status. Kaplan-Meier survival curves showed that LUAD samples with higher CDCA3 expression were associated with poorer overall survival (OS) and disease-free survival (DFS). Univariate Cox regression analysis showed that the p value of CDCA3 expression was less than 0.05 (P<0.05) and it appeared in the results of multivariate Cox regression analysis (HR ≥1), indicating that CDCA3 can be used as an independent prognostic factor for LUAD. Intriguingly, Gene Set Enrichment Analysis (GSEA) suggested that CDCA3 was correlated with DNA-related terms and metabolic-related pathways in LUAD. CDCA3 expression was correlated with four immune scores and 14 immune cells in different groups. Next, a ceRNA network was constructed with CDCA3, and the experimental results of IHC, qRT-PCR, and WB were consistent with the bioinformatic analysis. Conclusions: CDCA3 could serve as a prognostic biomarker for LUAD.
Long noncoding RNAs (lncRNAs) reportedly play critical roles in the pathogenesis of various cancers, including lung adenocarcinoma (LUAD). However, the expression level, clinical significance, and potential function of lncRNA-AC092718.4 in LUAD remain unclear. In this study, we found that AC092718.4 was highly expressed in LUAD and high expression of AC092718.4 was correlated with poor overall survival (OS) and disease-specific survival (DSS) in LUAD. Cox regression analysis confirmed that AC092718.4 was an independent factor for LUAD prognosis. Kyoto Encyclopedia of Genes and Genomes (KEGG) results showed that AC092718.4 was involved in the PI3K-Akt signaling pathway, Th17 cell differentiation, and cell apoptosis. AC092718.4 expression was correlated with immune cell infiltration. Finally, we found that the knockdown of AC092718.4 inhibited lung adenocarcinoma (LUAD) cell growth and promote cell apoptosis. Our findings confirmed that AC092718.4 may serve as a potential prognostic biomarker in LUAD.
Lung cancer is the leading cause of cancer-related death worldwide. Therapies for lung cancer have relatively poor outcomes and need to be improved. Lung cancer immune cell infiltration associated RNA (LCIIAR) is a long noncoding RNA (lncRNA), which is overexpressed in human cancers. However, the clinical significance and functional role of LCIIAR in Lung Adenocarcinoma remain unclear. Here, we identified a novel long non-coding RNA (ENSG00000256802), termed LCIIAR (lung cancer immune cell infiltration associated lncRNA), up-regulated in lung cancer tissue and cell lines. We show that increase LCIIAR expression correlated with poor clinical stage and adverse clinical outcomes and that could also serve as an independent unfavorable prognostic factor in patients with Lung Adenocarcinima. GSEA analysis demonstrated that LCIIAR is mainly involved in the regulation of the immune response. We uncovered that elevate LCIIAR expression positively correlated with immune infiltration and immune modulator in Lung Adenocarcinoma. More importantly, we confirmed that silencing of LCIIAR expression significantly inhibits the proliferation, and migration abilities of these tumour cells. We also demonstrated that the LCIIAR/hsa-miR184/SLC16A3/CDCP1 network regulates SLC16A3/CDCP1 overexpression in and is associated with poor prognosis in this tumour. Therefore our findings revealed the critical role of LCIIAR in Lung Adenocarcinoma progression, which may also serve as a prognostic biomarker and novel therapeutic target.
Rhomboid domain containing 1 (RHBDD1) gene, which was reported to be upregulated in human several cancer, was associated with carcinogenesis. However, the potential biological function of RHBDD1 in non-small cell lung cancer (NSCLC) carcinogenesis remains still not known. In this study, we aimed to investigate the role of RHBDD1 and its underlying molecular mechanism in NSCLC. The gene RHBDD1 expression was detected in NSCLC tissues and matched nontumor adjacent tissues. In vitro experiments, NSCLC cell lines (A549, H1650, H358 and H1299) were performed to investigate the biological function of RHBDD1 and its molecular mechanism. Our findings showed that the mRNA and protein expression levels of RHBDD1 were notably increased in human NSCLC tissues and cell lines, especially in A549 and H1650 cells. Moreover, silencing of RHBDD1 by RNAi notably inhibited NSCLC cell proliferation and increased cell apoptosis. Caspase-3/7 activity was remarkably increased in cells treated with RHBDD1 siRNA. RHBDD1 silencing notably reduced the number of invading cells. Furthermore, our findings showed that silencing of RHBDD1 notably inhibited the mRNA and protein expression levels of ZEB1 in A549 and H1650 cells. The phosphorylation of PI3K and AKT was also remarkably decreased by RHBDD1 silencing. ZEB1/AKT overexpression reversed the effect of RHBDD1 silencing on NSCLC cell growth and invasion. Taken together, our findings indicated that RHBDD1 silencing inhibited cell growth and invasion of non-small cell lung cancer by mediating ZEB1/PI3K/AKT signaling pathway, implying that RHBDD1 was possibly a potential diagnostic and therapeutic target for NSCLC treatment.
BACKGROUND:Major depressive disorder (MDD) is a major mood disorder characterized by chronic low mood with cognitive impairment. Diabetes mellitus is a group of chronic metabolic diseases, Type 2 diabetes (T2DM) will obviously increase the risk of dementia. People with the the comorbidity of T2DM and MDD have a higher risk of dementia. In this study, we aim to investigate partial cognitive impairment in the comorbidity of T2DM and MDD, and to determine the relationship between changes in caspase-1 expression and cognitive impairment. To further explore the role of caspase-1 in the partial cognitive impairment in the comorbidity of T2DM and MDD.METHODS:A total of 162 people were enrolled, there were 49 patients in the comorbidity of T2DM and MDD group, 54 patients in the MDD group, and 45 patients in the T2DM group. Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to assess the cognitive function of these three groups. Serum level of caspase-1 was determined by ELISA, and the level of caspase-1, as well as partial cognitive function, was compared in the three groups.RESULTS:The cognitive impairment of patients of the comorbidity of T2DM and MDD group was worse than the MDD group and the T2DM group, and the immediate memory, attention, and delayed memory in the comorbidity of T2DM and MDD group were lower than those in the other two groups, and the caspase-1 of the comorbidity of T2DM and MDD is higher than the caspase-1 of the MDD group, all the difference was statistically significant (P < 0.05). Caspase-1 protein was negatively correlated with immediate memory, attention, and delayed memory (r=-0.332, r=-0.182, r=-0.313, P<0.05).CONCLUSION:The cognitive impairment of patients of the comorbidity of T2DM and MDD group was worse than the MDD group and the T2DM group, and the immediate memory, attention, and delayed memory in the comorbidity of T2DM and MDD group were lower than those in the other two groups. The differences of the caspase-1 in the comorbidity of T2DM and MDD group, the MDD group and the T2DM group were significant, the level of the caspase-1 is higher than the other two groups, the cognitive impairment of three groups is associated with caspase-1, suggesting caspase-1 protein may be involved in the cognitive impairment aggravation mechanism of the comorbidity of T2DM and MDD group.
Abstract RYR2 mutation is clinically frequent in non‐small cell lung cancer (NSCLC) with its function being elusive. We downloaded lung squamous cell carcinoma and lung adenocarcinoma samples from the TCGA database, split the samples into RYR2 mutant group (n = 337) and RYR2 wild group (n = 634), and established Kaplan‐Meier curves. The results showed that RYR2 mutant group lived longer than the wild group (p = 0.027). Weighted gene co‐expression network analysis (WGCNA) of differentially expressed genes (DEGs) yielded prognosis‐related genes. Five mRNAs and 10 lncRNAs were selected to build survival prognostic models with other clinical features. The AUCs of 2 models are 0.622 and 0.565 for predicting survival at 3 years. Among these genes, the AUCs of DKK1 and GS1‐115G20.1 expression levels were 0.607 and 0.560, respectively, which predicted the 3‐year survival rate of NSCLC sufferers. GSEA identified an association of high DKK1 expression with TP53, MTOR, and VEGF expression. Several target miRNAs interacting with GS1‐115G20.1 were observed to show the relationship with the phenotype, treatment, and survival of NSCLC. NSCLC patients with RYR2 mutation may obtain better prognosis by down‐regulating DKK1 and up‐regulating GS1‐115G20.1.
Long non-coding RNAs (lncRNAs) have emerged as key regulators of cellular progress in lung adenocarcinoma. In this study, to identify cancer-related lncRNAs and genes, we screened for those lncRNAs that were differentially expressed in lung adenocarcinoma, which revealed LINC00628 overexpression and low expression of laminin subunit alpha 3 (LAMA3). This was further validated in the cancerous tissues from patients diagnosed with lung adenocarcinoma. Thereafter, we explored the functional relevance of LINC00628 and LAMA3 in lung adenocarcinoma by analyzing the recruitment of DNA methyltransferase (DNMT) and the cellular processes of lung adenocarcinoma cells following treatments that induced LINC00628 overexpression or LINC00628 silencing or with 5-azacytidine (5-Aza, a DNMT inhibitor). The results showed that LINC00628 silencing decreased cell proliferation, migration, and invasion as well as the drug resistance of lung adenocarcinoma cells to vincristine (VCR). The results were opposite in the cells with LAMA3 demethylation induced by 5-Aza treatment. Further research indicated that LINC00628 recruited DNMT1, DNMT3A, and DNMT3B to promote the methylation of LAMA3 promoter, thereby decreasing its expression. Moreover, an in vivo experiment was performed in nude mice to assess the tumor growth ability and drug resistance of human lung adenocarcinoma cells. It was observed that LINC00628 silencing or 5-Aza treatment inhibited the in vivo tumor growth ability of the human lung adenocarcinoma cells and reduced their resistance to VCR. Altogether, our results provide evidence of a mechanism by which LINC00628 silencing exerts an inhibitory role in lung adenocarcinoma by modulating the DNA methylation of LAMA3, indicative of a novel molecular target for treatment of lung adenocarcinoma patients showing resistance to VCR.
Nasopharyngeal carcinoma (NPC) is a malignant epithelial cancer of the head and neck with high prevalence in southern China, which is accompanied by notable invasiveness and metastasis. Long noncoding RNAs (lncRNAs) participate in the progression of various cancers including NPC. Microarray-based analysis identified highly expressed IncRNA mothers against decapentaplegic homolog 5 (SMAD5)-antisense RNA 1 (AS1) related to NPC. Interestingly, it is found that SMAD5-AS1 competitively bound to microRNA (miR)-106a-5p to regulate SMAD5. Herein, the study aimed to clarify the role of SMAD5-AS1/miR-106a-5p/SMAD5 axis in the process of epithelial mesenchymal transition (EMT) in NPC. SMAD5-AS1 was highly expressed and miR-106a-5p was poorly expressed in NPC tissues and cell lines. The NPC cells were treated with a series of small interfering RNAs, mimics, or inhibitors to explore the effects of SMAD5-AS1, SMAD5, and miR-106a-5p on EMT, cell proliferation, migration, and invasion in NPC. Of note, SMAD5-AS1 silencing or miR-106a-5p overexpression reduced expression of N-cadherin, matrix metallopeptidase 9, Snail, and Vimentin while elevating E-cadherin expression, thus inhibiting EMT, cell proliferation, migration, and invasion in NPC by down-regulation of SMAD5. Moreover, SMAD5 silencing could reduce the ability of EMT induced by SMAD5-AS1 up-regulation. SMAD5-AS1 silencing or miR-106a-5p elevation inhibited tumorigenesis in nude mice. Taken together, SMAD5-AS1 silencing suppressed EMT, cell proliferation, migration, and invasion in NPC by elevating miR-106a-5p to down-regulate SMAD5, which provided a novel therapeutic target for NPC treatment.
Lung adenocarcinoma is a common histologic type of lung cancer with a high death rate globally. Increasing evidence shows that long non-coding RNA H19 (lncRNA H19) and CDH1 methylation are involved in multiple tumours. Here, we tried to investigate whether lncRNA H19 or CDH1 methylation could affect the development of lung adenocarcinoma. First, lung adenocarcinoma tissues were collected to detect CDH1 methylation. Then, the regulatory mechanisms of lncRNA H19 were detected mainly in concert with the treatment of overexpression of lncRNA H19, siRNA against lncRNA H19, overexpression of CDH1 and demethylating agent A-5az in lung adenocarcinoma A549 cell. The expression of lncRNA H19 and epithelial-mesenchymal transition (EMT)-related factors as well as cell proliferation, sphere-forming ability, apoptosis, migration and invasion were detected. Finally, we observed xenograft tumour in nude mice so as to ascertain tumorigenicity of lung adenocarcinoma cells. LncRNA H19 and methylation of CDH1 were highly expressed in lung adenocarcinoma tissues. A549 cells with silencing of lncRNA H19, overexpression of CDH1 or reduced CDH1 methylation by demethylating agent 5-Az had suppressed cell proliferation, sphere-forming ability, apoptosis, migration and invasion, in addition to inhibited EMT process. Silencing lncRNA H19 could reduce methylation level of CDH1. In vivo, A549 cells with silencing lncRNA H19, overexpression of CDH1 or reduced CDH1 methylation exhibited low tumorigenicity, reflected by the smaller tumour size and lighter tumour weight. Taken together, this study demonstrates that silencing of lncRNA H19 inhibits EMT and proliferation while promoting apoptosis of lung adenocarcinoma cells by inhibiting methylation of CDH1 promoter.
The aberrant expressions of long noncoding RNAs have been reported in numerous cancers, which have facilitated the cancer diagnosis. However, the expression profile of lncRNAs in early stage lung squamous cell carcinoma has not been well discussed. The present study aimed to examine the expression profile of lncRNAs in early stage lung squamous cell carcinoma and identify lncRNA biomarkers for diagnosis. Through high-throughput lncRNA microarray, we screened thousands of aberrantly expressed lncRNAs and mRNAs in early stage lung squamous cell carcinoma tissues compared to their corresponding adjacent nontumorous tissues. Bioinformatics analyses were used to investigate the functions of aberrantly expressed mRNAs and their associated lncRNAs. After that, in order to identify lncRNA biomarkers for early detection, candidate lncRNA biomarkers were selected based on our established filtering pipeline and validated by real-time quantitative polymerase chain reaction on a total of 63 pairs of tumor samples. Five lncRNAs were finally identified which were able to distinguish early stage tumor and normal samples with high sensitivity (92%) and specificity (83%). These results imply that lncRNAs may be powerful biomarker for early diagnosis.
In order to explore the association between cadherin 13 (CDH13) gene promoter methylation and lung carcinoma (LC) risk, we carried out a meta-analysis with searching of PubMed, Web of Science. Ultimately, 17 articles were identified and analysised by STATA 12.0 software. Overall, we found a significant relationship between CDH13 promoter methylation and LC risk (odds ratio=6.98, 95% confidence interval: 4.21-11.56, p<0.001). Subgroup analyses further revealed that LC risk was increased for individuals carrying the methylated CDH13 compared with those with unmethylated CDH13. Hence, our study identified a strong association between CDH13 gene promoter methylation and LC and highlighted a promising potential for CDH13 methylation in LC risk prediction.
Digital polymerase chain reaction (digital PCR) enables the absolute quantification of nucleic acids through the counting of single molecules, thus eliminating the need for standard curves or endogenous controls. In this study, we developed a droplet digital PCR (ddPCR) system based on an oil saturated PDMS (OSP) microfluidic chip platform for quantification of lung cancer related microRNA (miRNA). The OSP chip was made with PDMS and was oil saturated to constrain oil swallow and maintain the stability of droplets. Two inlets were designed for oil and sample injection with a syringe pump at the outlet. Highly uniform monodisperse water-in-oil emulsion droplets to be used for subsequent detection and analysis were generated at the cross section of the channel. We compared miRNA quantification by the ddPCR system and quantitative real-time PCR (qPCR) to demonstrate that the ddPCR system was superior to qPCR both in its detection limit and smaller fold changes measurement. This droplet PCR system provides new possibilities for highly sensitive and efficient detection of cancer-related genes.
BACKGROUND:Lung adenocarcinoma has one of the poorest outcomes of any cancer worldwide, in part due to the lack of a reliable means of early detection. Long noncoding RNAs (lncRNAs) have been shown to be deregulated in some types of cancer; however, the contributions of lncRNAs to lung adenocarcinoma remain unknown.METHODS:We described the expression profile of lncRNAs in human lung adenocarcinoma at an early stage and the corresponding adjacent nontumorous tissues (NT) by microarray. From the microarray analysis, a total of 1170 lncRNAs were significantly differentially expressed in three early stage lung adenocarcinoma tissues compared with NT (fold-change≥2.0, p≤0.05). Candidate biomarkers were selected from the significantly differentially expressed lncRNAs based on our established filtering pipeline; subsequently, marker optimization and validation by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) on a total of 102 pairs of early stage lung adenocarcinoma and NT samples.RESULTS:A panel of 5-lncRNA was identified that could distinguish early stage lung adenocarcinoma from NT samples with high sensitivity and specificity. The area under the receiver operating characteristic curve (AUC) for tumor identification in the training and validation sets were 0.978 and 0.987, respectively.CONCLUSIONS:Our results are the first to reveal differentially expressed lncRNAs in early stage lung adenocarcinoma and suggest that lncRNAs may be novel candidate biomarkers for the early detection of this disease.