Methylation Of Region Research Articles

The association analysis of DNA methylation and transcriptomics identified BpCYCD3;2 as a participant in influencing cell division in autotetraploid birch (Betula pendula) leaves

Polyploidization plays a crucial role in plant breeding and genetic improvement. Although the phenomenon of polyploidization affecting the area and number of plant epidermal pavement cells is well described, the underlying mechanism behind this phenomenon is still largely unknown. In this study, we found that the leaves of autotetraploid birch (Betula pendula) stopped cell division earlier and had a larger cell area. In addition, compared to diploids, tetraploids have a smaller stomatal density and fewer stomatal numbers. Genome-wide DNA methylation analysis revealed no significant difference in global DNA methylation levels between diploids and tetraploids. A total of 9154 differential methylation regions (DMRs) were identified between diploids and tetraploids, with CHH-type DMRs accounting for 91.73% of all types of DMRs. Further research has found that there are a total of 2105 differentially methylated genes (DMEGs) with CHH-type DMRs in birch. The GO functional enrichment results of DMEGs showed that differentially methylated genes were mainly involved in terms such as cellular process and metabolic process. The analysis of differentially methylated genes and differentially expressed genes suggests that hyper-methylation in the promoter region may inhibit the gene expression level of BpCYCD3;2 in tetraploids. To investigate the function of BpCYCD3;2 in birch, we obtained overexpression and repressed expression lines of BpCYCD3;2 through genetic transformation. The morphogenesis of both BpCYCD3;2-OE and BpCYCD3;2-RE lines was not affected. However, low expression of BpCYCD3;2 can lead to inhibition of cell division in leaves, and this inhibition of cell proliferation can be compensated for by an increase in cell size. Additionally, we found that the number and density of stomata in the BpCYCD3;2-RE lines were significantly reduced, consistent with the tetraploid. These data indicate that changes in cell division ability and stomatal changes in tetraploid birch can be partially attributed to low expression of the BpCYCD3;2 gene, which may be related to hyper-methylation in its promoter region. These results will provide new insights into the mechanism by which polyploidization affects plant development.

Experimental validation and comprehensive analysis of m6A methylation regulators in intervertebral disc degeneration subpopulation classification

Intervertebral disc degeneration (IVDD) is one of the most prevalent causes of chronic low back pain. The role of m6A methylation modification in disc degeneration (IVDD) remains unclear. We investigated immune-related m6A methylation regulators as IVDD biomarkers through comprehensive analysis and experimental validation of m6A methylation regulators in disc degeneration. The training dataset was downloaded from the GEO database and analysed for differentially expressed m6A methylation regulators and immunological features, the differentially regulators were subsequently validated by a rat IVDD model and RT-qPCR. Further screening of key m6A methylation regulators based on machine learning and LASSO regression analysis. Thereafter, a predictive model based on key m6A methylation regulators was constructed for training sets, which was validated by validation set. IVDD patients were then clustered based on the expression of key m6A regulators, and the expression of key m6A regulators and immune infiltrates between clusters was investigated to determine immune markers in IVDD. Finally, we investigated the potential role of the immune marker in IVDD through enrichment analysis, protein-to-protein network analysis, and molecular prediction. By analysising of the training set, we revealed significant differences in gene expression of five methylation regulators including RBM15, YTHDC1, YTHDF3, HNRNPA2B1 and ALKBH5, while finding characteristic immune infiltration of differentially expressed genes, the result was validated by PCR. We then screen the differential m6A regulators in the training set and identified RBM15 and YTHDC1 as key m6A regulators. We then used RBM15 and YTHDC1 to construct a predictive model for IVDD and successfully validated it in the training set. Next, we clustered IVDD patients based on the expression of RBM15 and YTHDC1 and explored the immune infiltration characteristics between clusters as well as the expression of RBM15 and YTHDC1 in the clusters. YTHDC1 was finally identified as an immune biomarker for IVDD. We finally found that YTHDC1 may influence the immune microenvironment of IVDD through ABL1 and TXK. In summary, our results suggest that YTHDC1 is a potential biomarker for the development of IVDD and may provide new insights for the precise prevention and treatment of IVDD.

Exploring Genetic Associations of 3 Types of Risk Factors With Ischemic Stroke: An Integrated Bioinformatics Study.

Ischemic stroke (IS) is a major cause of disability and mortality worldwide. Increasing evidence suggests a strong association between blood pressure, blood glucose, circulating lipids, and IS. Nonetheless, the genetic association of these 3 risk factors with IS remains elusive. We screened genetic instruments related to blood pressure, blood glucose, and circulating lipids and paired them with IS genome-wide association study data to conduct Mendelian randomization analysis. Positive Mendelian randomization findings were then subjected to colocalization analysis. Subsequently, we utilized the Gene Expression Omnibus data set to perform differential expression analysis, aiming to identify differentially expressed associated genes. We determined the importance scores of these differentially expressed associated genes through 4 machine learning models and constructed a nomogram based on these findings. The combined results of the Mendelian randomization analysis indicate that blood pressure (systolic blood pressure: odds ratio [OR], 1.02 [95% CI, 1.01-1.02]; diastolic blood pressure: OR, 1.03 [95% CI, 1.03-1.04]) and some circulating lipids (low-density lipoprotein cholesterol: OR, 1.06 [95% CI, 1.01-1.12]; apoA1: OR, 0.95 [95% CI, 0.92-0.98]; apoB: OR, 1.05 [95% CI, 1.01-1.09]; eicosapentaenoic acid: OR, 2.36 [95% CI, 1.41-3.96]) have causal relationships with the risk of IS onset. We identified 73 genes that are linked to blood pressure and circulating lipids in the context of IS, and 16 are differentially expressed associated genes. FURIN, MAN2A2, HDDC3, ALDH2, and TOMM40 were identified as feature genes for constructing the nomogram that provides a quantitative prediction of the risk of IS onset. This study indicates that there are causal links between blood pressure, certain circulating lipids, and the development of IS. The potential mechanisms underlying these causal relationships involve the regulation of lipid metabolism, blood pressure, DNA repair and methylation, cell apoptosis and autophagy, immune inflammation, and neuronal protection, among others.

Study of the effect of sFRP1 protein on molecules involved in the regulation of DNA methylation in CML cell line.

Wnt-signaling pathway plays a crucial role in the pathogenesis and progression of Chronic Myeloid Leukemia (CML). sFRP1 is involved in the suppression ofthe Wnt-signaling pathway and has been shown to be epigenetically silenced by promoter hypermethylation during CML progression. DNMT3A plays a crucial role in promoter hypermethylation andis responsible for establishing methylation patterns. We aimed to analyze the relationship between sFRP1 expression and DNMT3A, TET1, TET2 and TET3 proteins that are responsible for maintaining cellular methylation patterns; along with miRNAs miR144-3p and miR-767-5p that are known to be associated with these proteins. CML cell lines K562 and K562S which stably expresses sFRP1, were used to compare the changes in miR144-3p and miR-767-5p expression. DNMT3A, TET1, TET2 and TET3 protein levels were analyzed by Western blot. In K562S cells the expression of miR-144-3p and miR-767-5p were decreased along with DNMT3A and TET1 protein levels. On the contrary, TET2 protein was increased. Our results support other reports involving sFRP1 and methylation dynamics; as well as opening new avenues of exploration. Our data supports the conclusion that re-expression of sFRP1 protein alters the expression of factors that play important roles in the overall methylation patterns in the leukemic cell line K562.

HSPA4 upregulation induces immune evasion via ALKBH5/CD58 axis in gastric cancer

IntroductionGastric cancer (GC) is one of the leading causes of cancer-related death worldwide. Recently, targeted therapies including PD1 (programmed cell death 1) antibodies have been used in advanced GC patients. However, identifying new biomarker for immunotherapy is still urgently needed. The objective of this study is to unveil the immune evasion mechanism of GC cells and identify new biomarkers for immune checkpoint blockade therapy in patients with GC.MethodsCoimmunoprecipitation and meRIP were performed to investigate the mechanism of immune evasion of GC cells. Cocuture system was established to evaluate the cytotoxicity of cocultured CD8+ T cells. The clinical significance of HSPA4 upregulation was analyzed by multiplex fluorescent immunohistochemistry staining in GC tumor tissues.ResultsHistone acetylation causes HSPA4 upregulation in GC tumor tissues. HSPA4 upregulation increases the protein stability of m6A demethylase ALKBH5. ALKBH5 decreases CD58 in GC cells through m6A methylation regulation. The cytotoxicity of CD8+ T cells are impaired and PD1/PDL1 axis is activated when CD8+ T cells are cocultured with HSPA4 overexpressed GC cells. HSPA4 upregulation is associated with worse 5-year overall survival of GC patients receiving only surgery. It is an independent prognosis factor for worse survival of GC patients. In GC patients receiving the combined chemotherapy with anti-PD1 immunotherapy, HSPA4 upregulation is observed in responders compared with non-responders.ConclusionHSPA4 upregulation causes the decrease of CD58 in GC cells via HSPA4/ALKBH5/CD58 axis, followed by PD1/PDL1 activation and impairment of CD8+ T cell’s cytotoxicity, finally induces immune evasion of GC cells. HSPA4 upregulation is associated with worse overall survival of GC patients with only surgery. Meanwhile, HSPA4 upregulation predicts for better response in GC patients receiving the combined immunotherapy.

Abstract NG01: Germline-mediated immunoediting sculpts breast cancer subtypes and metastatic proclivity

Abstract NG01: Germline-mediated immunoediting sculpts breast cancer subtypes and metastatic proclivity

ALYREF m5C RNA methylation reader predicts bladder cancer prognosis by regulating the tumor immune microenvironment.

5-Methylcytidine (m5C) methylation is a recently emerging epigenetic modification that is closely related to tumor proliferation, occurrence, and metastasis. This study aimed to investigate the clinicopathological characteristics and prognostic value of m5C regulators in bladder cancer (BLCA), and their correlation with the tumor immune microenvironment. Thirteen m5C RNA methylation regulators were analyzed using RNA-sequencing and corresponding clinical information obtained from the TCGA database. The Cluster Profiler package was used to analyze the gene ontology function of potential targets and enriched the Kyoto Encyclopedia of Genes and Genomes pathway. Kaplan-Meier survival analysis was used to compare survival differences using the log-rank test and univariate Cox proportional hazards regression. The correlation between signature prognostic m5C regulators and various immune cells was analyzed. Univariate and multivariate Cox regression analyses identified independence of the ALYREF gene signature. Nine out of the 13 m5C RNA methylation regulators were differentially expressed in BLCA and normal samples and were co-expressed. These 9 regulators were associated with clinicopathological tumor characteristics, particularly high or low tumor risk, pT or pTNM stage, and migration. Consensus clustering analysis divides the BLCA samples into 4 clusters. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment annotation and gene ontology function analysis identified 273 upregulated and 594 downregulated genes in BLCA. Notably, only ALYREF was significantly correlated with OS (P < .05). ALYREF exhibited significant infiltration levels in macrophage cells. Therefore, we constructed a nomogram for ALYREF as an independent prognostic factor. Additionally, we observed that both the mRNA and protein levels of ALYREF were upregulated, and immunofluorescence showed that ALYREF was mainly distributed in nuclear speckles. ALYREF overexpression was significantly associated with poor OS. Our findings demonstrated the potential of ALYREF to predict clinical prognostic risks in BLCA patients and regulate the tumor immune microenvironment. As such, ALYREF may serve as a novel prognostic indicator in BLCA patients.

Abstract LB249: Multi-omics cancer risk assessment of Barrett’s esophagus with DNA methylation sequencing from endoscopic brush samples

Abstract Introduction: Barrett’s esophagus (BE) confers increased cancer risk. Endoscopic surveillance is recommended to distinguish non-dysplastic BE (NDBE), low grade dysplasia (LGD), high grade dysplasia (HGD), or adenocarcinoma (EAC) for endoscopic intervention. However, this paradigm is limited by sampling error, leading to missed/interval EAC. Herein, we aimed to classify these samples more accurately by performing whole genome methylation sequencing (WGMS) and utilizing multiple genomic features on endoscopic brush samples. Materials and methods: Endoscopic brush samples from patients with NDBE (n=18), HGD (18), EAC (18), and normal controls (18) were collected and underwent WGMS (discovery dataset). Sequence reads were processed through internal pipeline to extract CpG methylation and read level methylation ratio (alpha value). Copy number aberration (CNA) detection was performed using both CNVkit and ichorCNA. Differential methylated regions (DMRs) were identified through comparing EAC/HGD with NDBE and normal samples. Targeted methylation sequencing for selected DMRs and shallow WGMS were performed on EAC (41), HGD (26), LGD (23), NDBE (42), and normal controls (37) as validation. Ratio of the reads with alpha value&amp;gt;0.6 for each DMR was used for further analysis. Detected CNA segments were summarized into chromosome arm loss or gain (aneuploidy score or AS representing the number of chromosome arms gained or lost in a sample) and trimmed median absolute deviation (tMAD). Classification models were developed using the discovery set and the best performing one was applied to the validation dataset. Results: Genome-wide DNA methylation largely segregated different groups of samples as diagnosed; however, some unexpected group crossings were observed. Top 200 DMRs were identified between EAC/HGD and NDBE and normal samples. CNA changes were widespread in EAC, very common in HGD but rare in NDBE (17/18 EACs,14/18 HGDs, 5/18 NDBEs with AS&amp;gt;0). With tMAD &amp;gt; 0.015, 16/18 EACs, 8/18 HGDs but none of 18 NDBEs passed the threshold. EAC or HGD samples without detectable CNAs had very low “tumor” fraction as determined by methylation-based cell type deconvolution or ichorCNA. Similar results were found in the validation dataset. A multi-omics (AS, tMAD, estimated tumor fraction, and DMR methylation) model could predict EAC, HGD, or NDBE with 0.81 accuracy through cross validation (10X) and 0.73 in the independent dataset. This increased to 0.98 and 0.90 in separating high risk EAC/HGD from NDBE, respectively. Conclusion: Multi-omics data obtained from single WGMS allow for a comprehensive analysis of BE samples with varying dysplasia levels. Using classification modeling, these characteristics can be effectively used to accurately identify and distinguish between EAC and HGD from NDBE, suggesting their utility as adjuncts to endoscopic surveillance biopsies. Citation Format: Zhifu Sun, Caroline L. Matchett, Seth W. Slettedahl, William R. Taylor, Panwen Wang, Calise Berger, Caryn E. Anderson, Melissa A. Passe, Ramona Lansing, Collin E. Chalmers, Patrick H. Foote, Jeanette E. Eckel Passow, Doug W. Mahoney, John B. Kisiel, Prasad G. Iyer. Multi-omics cancer risk assessment of Barrett’s esophagus with DNA methylation sequencing from endoscopic brush samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB249.

An industrialized diet as a determinant of methylation in the 1F region of the NR3C1 gene promoter.

Dietary composition can modify gene expression, favoring the development of chronic diseases via epigenetic mechanisms. Our study aimed to investigate the relationship between dietary patterns and NR3C1 gene methylation in users of the Brazilian Public Unified Health System (SUS). We recruited 250 adult volunteers and evaluated their socioeconomic status, psychosocial characteristics, lifestyle, and anthropometrics. Peripheral blood was collected and evaluated for cortisol levels, glycemia, lipid profile, and insulin resistance; methylation of CpGs 40-47 of the 1F region of the NR3C1 gene was also measured. Factors associated with degree of methylation were evaluated using generalized linear models (p < 0.05). Lifestyle variables and health variables were included as confounding factors. The findings of our cross-sectional study indicated an association between NR3C1 DNA methylation and intake of processed foods. We also observed relevant associations of average NR3C1 DNA across the segment analyzed, methylation in component 1 (40-43), and methylation in component 2 (44-47) with a pattern of consumption of industrialized products in relation to BMI, serum cortisol levels, and lipid profile. These results may indicate a relationship between methylation and metabolic changes related to the stress response. These findings suggest an association of methylation and metabolic alterations with stress response. In addition, the present study highlights the significant role of diet quality as a stress-inducing factor that influences NR3C1 methylation. This relationship is further linked to changes in psychosocial factors, lifestyle choices, and cardiometabolic variables, including glucose levels, insulin resistance, and hyperlipidemia.

268 Integrative Genomics Identifies Evolutionary, Temporal, and Cell-lineage Origin of Hydrocephalus Risk Gene

INTRODUCTION: Our previous work identified MAEL, a gene involved in regulation of DNA transposon activity and histone methylation, as a transcriptome-wide predictor of pediatric hydrocephalus (Hale et al., Cell Reports, 2021). Here we aim to characterize the function of MAEL across timescales and cell-lineages in the developing human brain to understand the pathophysiological basis of hydrocephalus. METHODS: We performed taxonomic analysis of MAEL across species using Ensemble. Analysis of single-cell RNA sequencing (scRNA-seq) of 49 brain regions across the prenatal period from the Developing Human Brain Atlas (Allen Institute) and an atlas of late-prenatal cortical tissue identified temporospatial MAEL expression patterns. Finally, to estimate the degree to which in vitro models recapitulate expression patterns of MAEL in the developing brain, we analyzed scRNA-seq from human neural and choroid-plexus organoids. RESULTS: We performed taxonomic evolutionary gene-mapping to define the evolutionary origin of MAEL to assess suitability for mechanistic characterization in model systems. MAEL is among the top 0.01% human-specific genes and shares &lt; 50% sequence homology with mammalian model organisms. scRNA-seq identified MAEL first detected in the telencephalon at 9 weeks post-conception, highest expressed in the sub-ventricular zone at 16 weeks, and lowest expressed in the hippocampus at 21 weeks post conception. Temporospatial expression of MAEL in the late-prenatal cortex identifies MAEL expression largely restricted to the neural progenitor cells before reaching steady-state expression throughout the cortical layers at 39 weeks gestation. Finally, spatial MAEL expression is largely preserved in brain organoids and robustly expressed in choroid plexus organoids highlighting the utility of these models in future mechanistic studies. CONCLUSIONS: We delineate the evolutionary origin and temporospatial patterns of MAEL expression in the developing human brain and organoid models. These data provide the premise for understanding the detailed molecular-genetic underpinnings of hydrocephalus.

The Regulatory Effect of RNA m6 A Methylation Modification on KDM4B Gene Expression in t (8;21) AML Cells by MeRIP-qPCR

To confirm the direct regulatory effect of WTAP-mediated RNA m6A modification on the KDM4B gene in t (8;21) acute myeloid leukemia (AML) cells through MeRIP combined with reverse transcription real-time quantitative PCR (RT-qPCR) technology. The lentivirus-mediated shRNA target WTAP or KDM4B gene was used to transfect the t (8;21) AML cell lines: Kasumi-1 and SKNO-1, and cells transfected with randomly shuffled shRNA as the control. Using the Ultrapure RNA Extraction Kit (DNase I) to extract RNA. The Magna MeRIPTM m6A Kit was used to enrich methylated modified fragments, and detect the m6A methylated RNA regions by RT-qPCR, and the protein and mRNA expression levels of WTAP and KDM4B in cells were detected by Western blot and reverse transcription real-time quantitative PCR (RT-qPCR). Colony formation assays were used to detect the colony ability of cells in vitro. Silencing the expression of WTAP in Kasumi-1 cells, the enrichment of m6A methylation modification was significantly decreased in the 3'UTR of KDM4B mRNA(P < 0.01), and the protein(P < 0.001) and mRNA (Kasumi-1:P < 0.001; SKNO-1: P < 0.01) expression levels of KDM4B were also significantly inhibited in Kasumi-1 and SKNO-1 cells upon WTAP knockdown (all P < 0.01), accompanied by a significant decrease in the colony-forming ability of both cell lines (both P < 0.01). In t(8;21) AML cell lines, WTAP could regulate the expression of KDM4B by regulating the m6A modification of the 3'UTR of KDM4B mRNA, and silencing the expression of KDM4B could inhibit the cellular proliferation in vitro.

HBCR_DMR: A Hybrid Method Based on Beta-Binomial Bayesian Hierarchical Model and Combination of Ranking Method to Detect Differential Methylation Regions in Bisulfite Sequencing Data.

DNA methylation is a key epigenetic modification involved in gene regulation, contributing to both physiological and pathological conditions. For a more profound comprehension, it is essential to conduct a precise comparison of DNA methylation patterns between sample groups that represent distinct statuses. Analysis of differentially methylated regions (DMRs) using computational approaches can help uncover the precise relationships between these phenomena. This paper describes a hybrid model that combines the beta-binomial Bayesian hierarchical model with a combination of ranking methods known as HBCR_DMR. During the initial phase, we model the actual methylation proportions of the CpG sites (CpGs) within the replicates. This modeling is achieved through beta-binomial distribution, with parameters set by a group mean and a dispersion parameter. During the second stage, we establish the selection of distinguishing CpG sites based on their methylation status, employing multiple ranking techniques. Finally, we combine the ranking lists of differentially methylated CpG sites through a voting system. Our analyses, encompassing simulations and real data, reveal outstanding performance metrics, including a sensitivity of 0.72, specificity of 0.89, and an F1 score of 0.76, yielding an overall accuracy of 0.82 and an AUC of 0.94. These findings underscore HBCR_DMR's robust capacity to distinguish methylated regions, confirming its utility as a valuable tool for DNA methylation analysis.

A novel imprinted locus on bovine chromosome 18 homologous with human chromosome 16q24.1.

Genomic imprinting is an epigenetic regulation mechanism in mammals resulting in the parentally dependent monoallelic expression of genes. Imprinting disorders in humans are associated with several congenital syndromes and cancers and remain the focus of many medical studies. Cattle is a better model organism for investigating human embryo development than mice. Imprinted genes usually cluster on chromosomes and are regulated by different methylation regions (DMRs) located in imprinting control regions that control gene expression in cis.There is an imprinted locus on human chromosome 16q24.1 associated with congenital lethal developmental lung disease in newborns. However, genomic imprinting on bovine chromosome 18, which is homologous with human chromosome 16 has not been systematically studied. The aim of this study was to analyze the allelic expressions of eight genes (CDH13, ATP2C2, TLDC1, COTL1, CRISPLD2, ZDHHC7, KIAA0513, and GSE1) on bovine chromosome 18 and to search the DMRs associated gene allelic expression. Three transcript variants of the ZDHHC7 gene (X1, X2, and X5) showed maternal imprinting in bovine placentas. In addition, the monoallelic expression of X2 and X5 was tissue-specific. Five transcripts of the KIAA0513 gene showed tissue- and isoform-specific monoallelic expression. The CDH13, ATP2C2, and TLDC1 genes exhibited tissue-specific imprinting, however, COTL1, CRISLPLD2, and GSE1 escaped imprinting. Four DMRs, established after fertilization, were found in this region. Two DMRs were located between the ZDHHC7 and KIAA0513 genes, and two were in exon 1 of the CDH13 and ATP2C2 genes, respectively. The results from this study support future studies on the molecular mechanism to regulate the imprinting of candidate genes on bovine chromosome 18.

The significance of m6A RNA methylation regulators in diagnosis and subtype classification of HBV-related hepatocellular carcinoma.

In recent years, abnormal m6A alteration in hepatocellular carcinoma (HCC) has been a focus on investigating the biological implications. In this study, our objective is to determine whether m6A modification contributes to the progression of HBV-related HCC. To achieve this, we employed a random forest model to screen top 8 characteristic m6A regulators from 19 candidate genes. Subsequently, we developed a nomogram model that utilizes these 8 characteristic m6A regulators to predict the prevalence of HBV-related HCC. According to decision curve analysis, patients may benefit from the nomogram model. The clinical impact curves exhibited a robust predictive capability of the nomogram models. Additionally, consensus molecular subtyping was employed to identify m6A modification patterns and m6A-related gene signature. The quantification of immune cell subsets was accomplished through the implementation of ssGSEA algorithms. PCA algorithms were developed to compute the m6A score for individual tumors. Two distinct m6A modification patterns, namely cluster A and cluster B, exhibited significant correlations with distinct immune infiltration patterns and biological pathways. Notably, patients belonging to cluster B demonstrated higher m6A scores compared to those in cluster A, as determined by the m6A score metric. Furthermore, the expression of IGFBP3 proteins was validated through immunofluorescence, revealing their pronounced lower expression in tumor tissues. In summary, our study underscores the importance of m6A modification in the advancement of HBV-related HCC. This research has the potential to yield novel prognostic biomarkers and therapeutic targets for the identification of HBV-related HCC.

RNA m6a Methylation Regulator Expression in Castration-Resistant Prostate Cancer Progression and Its Genetic Associations.

N6-methyladenosine (m6A) methylation, a prevalent epitranscriptomic modification, plays a crucial role in regulating mRNA expression, stability, and translation in mammals. M6A regulators have gained attention for their potential implications in tumorigenesis and clinical applications, such as cancer diagnosis and therapeutics. The existing literature predominantly addresses m6A regulators in the context of primary prostate cancer (PCa). However, a notable gap in the knowledge emerges regarding the dynamic expression patterns of these regulators as PCa progresses towards the castration-resistant stage (CRPC). Employing sequential window acquisition of all theoretical mass spectra (SWATH-MS) and RNAseq analysis, we comprehensively profiled the expression of 27 m6A regulators in hormone/androgen-dependent and -independent PCa cell lines, revealing distinct clustering between tumor and adjacent normal prostate tissues. High-grade PCa tumors demonstrated the upregulation of METTL3, RBM15B, and HNRNAPA2B1 and the downregulation of ZC3H13, NUDT21, and FTO. Notably, we identified six m6A regulators associated with PCa survival. Additionally, association analysis of the PCa-associated risk loci in the cancer genome atlas program (TCGA) data unveiled genetic variations near the WTAP, HNRNPA2B1, and FTO genes as significant expression quantitative trait loci. In summary, our study unraveled abnormalities in m6A regulator expression in PCa progression, elucidating their association with PCa risk loci. Considering the heterogeneity within the PCa phenotypes and treatment responses, our findings suggest that prognostic stratification based on m6A regulator expression could enhance PCa diagnosis and prognosis.

Mesenchymal stem cells reverse thymus aging by reprogramming the DNA methylation of thymic epithelial cells

BackgroundA decrease in the number and activity of thymic epithelial cells (TECs) is an important factor in thymic degeneration. Mesenchymal stem cells (MSCs) treating thymic ageing is a promising strategy, but the DNA methylation modification mechanism in TECs remains unclear. MethodsAged rhesus monkeys were treated with MSCs to establish a thymic senescence model, and hematoxylin-eosin (HE) staining, immunofluorescence staining, and ELISA were performed to observe the structure and function of the thymus. TEC aging model and MSCs co-culture system were established to detect DNA methylation modification and transcriptomic changes, correlation analysis between transcription factor methylation and mRNA expression, and q-PCR, immunofluorescence staining, and Western blot were used to identified key genes. ResultsMSCs improved the structure and function of thymus in elderly macaque monkeys; reduced the expression levels of β-Gal, P16, and P21; and increased the activity of aging TECs. There were 501 genes with increased methylation in the promoter region in the treated group compared with the untreated group, among which 23 genes were involved in the negative regulation of cell growth, proliferation and apoptosis, while 591 genes had decreased methylation, among which 37 genes were associated with promoting cell growth and proliferation and inhibiting apoptosis. Furthermore, 66 genes showed a negative correlation between promoter methylation levels and gene transcription; specifically, PDE5A, DUOX2, LAMP1 and SVIL were downregulated with increased methylation, inhibiting growth and development, while POLR3G, PGF, CHTF18, KRT17, FOXJ1, NGF, DYRK3, LRP8, CDT1, PRELID1, F2R, KNTC1 and TRIM3 were upregulated with decreased methylation, promoting cell growth. ConclusionMSCs improve the structure and function of aged thymus, which involves the regulation of DNA methylation profiles and a decrease in the methylation level of the transcription factor NGF to specifically upregulate KRT17 and FOXJ1 to promote the proliferation of TECs.

Implementable assay for monitoring minimum residual disease after radical treatment for colorectal cancer.

Considering the cost and invasiveness of monitoring postoperative minimal residual disease (MRD) of colorectal cancer (CRC) after adjuvant chemoradiotherapy (ACT), we developed a favorable approach based on methylated circulating tumor DNA to detect MRD after radical resection. Analyzing the public database, we identified the methylated promoter regions of the genes FGD5, GPC6, and MSC. Using digital polymerase chain reaction (dPCR), we termed the "amplicon of methylated sites using a specific enzyme" assay as "AMUSE." We examined 180 and 114 pre- and postoperative serial plasma samples from 28 recurrent and 19 recurrence-free pathological stage III CRC patients, respectively. The results showed 22 AMUSE-positive of 28 recurrent patients (sensitivity, 78.6%) and 17 AMUSE-negative of 19 recurrence-free patients (specificity, 89.5%). AMUSE predicted recurrence 208 days before conventional diagnosis using radiological imaging. Regarding ACT evaluation by the reactive response, 19 AMUSE-positive patients during their second or third blood samples showed a significantly poorer prognosis than the other patients (p = 9E-04). The AMUSE assay stratified four groups by the altered patterns of tumor burden postoperatively. Interestingly, only 34.8% of cases tested AMUSE-negative during ACT treatment, indicating eligibility for ACT. The AMUSE assay addresses the clinical need for accurate MRD monitoring with universal applicability, minimal invasiveness, and cost-effectiveness, thereby enabling the timely detection of recurrences. This assay can effectively evaluate the efficacy of ACT in patients with stage III CRC following curative resection. Our study strongly recommends reevaluating the clinical application of ACT using the AMUSE assay.

Abstract 3399: Prediction of cardiac adverse events (AE) in trastuzumab treated breast cancer patients (pts) via a comprehensive genomic and DNA methylation blood based assay

Abstract Background: ERBB2 (HER2) targeted therapy is an important therapeutic class used to treat HER2-positive breast cancer (BC) but has been associated with a risk of cardiotoxicity. Identifying pts likely to experience this AE could allow for early intervention and/or a change in treatment plan. Previous studies have demonstrated the ability to detect changes in methylation patterns of pts who had cardiotoxicity from anti-HER2 therapy. Here, we report a retrospective study assessing the feasibility of using the Guardant Infinity platform (genomic and epigenomic NGS analysis) to predict severe cardiac AE in pts treated with trastuzumab. Methods: Samples (n=46) from female pts with BC undergoing treatment with trastuzumab without prior record of heart failure and with a blood sampling &amp;lt;300 days prior to a documented heart failure event defined a positive case cohort. 70 blood samples were matched to the positive case cohort in all above attributes but without record of patient heart failure to comprise a negative cohort. The &amp;gt;20K differentially methylated regions on Guardant Infinity platform may be useful for detection of specific disease attributes such as treatment-associated AE. To explore this, mixture models were first trained using 880 BC samples unrelated to heart failure to distinguish methylation signals coming from tumor versus non-tumor cfDNA. The resulting normalized methylation signals represent the posterior probabilities of the region molecules to be derived from tumor cells. A subset of methylation regions were selected based on significance of association between heart failure status and normalized methylation signals in the positive and negative AE cohorts. A penalized logistic regression model was then trained on the normalized signals of the selected methylation regions to predict whether a patient would have future cardiac AE. Results: A 10-fold cross validation of the penalized logistic regression models trained on normalized methylation signals produced an area under the curve of 0.78 for predicting heart failure status, suggesting feasibility of using blood-based methylation signals to predict cardiac AE on this platform. The differentially methylated regions selected as model predictors show a clear separation in hypermethylation status between positive versus negative cohorts. Conclusion: Our results show the prediction of cardiac AE in BC pts undergoing trastuzumab treatment in advance of documented heart failure using a blood-based assay designed for simultaneous comprehensive genomic and epigenomic profiling. Given the relatively small sample size within this study, further refinement and validation of the classification models is warranted and ongoing. Citation Format: Sean Gordon, Catalin Barbacioru, Daniel Gaile, Denis Tolkunov, Nicole Zhang, Carin Espenschied, Jing Wang, Tara Dinman, Kimberly Banks, Amar Das, Han-Yu Chuang, Helmy Eltoukhy. Prediction of cardiac adverse events (AE) in trastuzumab treated breast cancer patients (pts) via a comprehensive genomic and DNA methylation blood based assay [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 3399.

Abstract 5874: Phenotypic plasticity of TKI resistance reprograms cytoskeleton organization through cadherin-catenin and integrin pathways

Abstract The acquired resistance to EGFR tyrosine kinase inhibitors (TKIs) restricts its clinical utility. Clinically, acquired resistance has been highly associated with epithelial-mesenchymal transition (EMT) traits. In this study, we characterized shared phenotypic plasticity features of TKI-resistant cells and aimed to find its key driver in three different cell lines harboring mutant EGFR. In vitro resistance cell lines were generated by dose-escalation exposure to osimertinib, a 3rd generation TKI, for more than 2 months. We employed canonical markers (E-cadherin, vimentin, pan-cytokeratin, and N-cadherin) along with additional markers (EpCAM and fibronectin) to define the EMT status of resistant cells. Moreover, cytoskeleton architecture (F-actin and Vimentin) was utilized to clarify the types of cell motility. Transcriptomics analysis illustrated enriched pathways at focal adhesion and adherens junction. Loss of adherens junction-related catenin (α-E-catenin, β-catenin, γ-catenin, p120 catenin) and aberrant activation of focal adhesion-related protein (p-FAK Y397 and Y576/57, p-Src Y416) confirmed the transcriptomics analysis of reduced contact inhibition and cell polarity. The resulting migration mode of resistant cells highly resembles ameboid movement. Mechanistically, we identified that YTHDF3, a metastasis-promoting regulator of mRNA methylation, destabilizes the mRNA of E-cadherin. Depletion of YTHDF3 in resistant cells reversed the cadherin-catenin pathway and distribution of vimentin and f-actin. In conclusion, resistant cells display ameboid-like movement resulting from loss of contact inhibition and aberrant activation of focal adhesion. Mechanistically, we identified that YTHDF3, a metastasis-promoting regulator of mRNA methylation, destabilizes the mRNA of E-cadherin. Depletion of YTHDF3 in resistant cells reversed the cadherin-catenin pathway and distribution of vimentin and f-actin. YTHDF3 serves as an RNA epitranscriptomic regulator that destabilizes CDH1 mRNA, thereby disrupting adherens junction formation and reducing integrin-mediated focal adhesion stabilization. Citation Format: Chun Ma, Jerry Chieh-Yu Chen, Mong-Lien Wang. Phenotypic plasticity of TKI resistance reprograms cytoskeleton organization through cadherin-catenin and integrin pathways [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 5874.

Abstract 2427: The development of a tissue-agnostic genome-wide methylome enrichment MRD assay for applications across the cancer care continuum for head and neck malignancies

Abstract Background: Plasma-based tests to quantify circulating cell-free DNA cancer signal have emerged as viable applications across the cancer continuum, from early detection to optimal disease management. Here we demonstrate the feasibility of a tissue-agnostic, genome-wide methylome enrichment platform based on cell-free methylated DNA immunoprecipitation and high throughput sequencing (cfMEDIP-seq) for cancer detection, cancer signal quantification, and prognostication in head and neck cancer (HNC). Methods: Pre-treatment plasma samples from individuals with newly diagnosed stage I-IV HPV+ or HPV- HNC were analyzed with a bisulfite-free, non-degradative, genome-wide methylome enrichment platform using 5-10 ng of cell-free DNA. For cancer detection, a machine learning classifier used differentially methylated regions to distinguish cancers from non-cancer controls. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals were calculated. Cancer signals were quantified from average normalized counts across informative methylated regions and a 95% specificity threshold. For prognostication, events were defined as recurrence, progression, or death due to HNC, whichever occurred earliest. Time to event was compared for samples with cancer signal quantities above versus below the threshold. Post-treatment and longitudinal plasma samples from individuals with Stage I-IVB HNC (HPV+ and HPV- included) will be analyzed for recurrence prediction and detection of relapse. More than 100 patients and 300 samples will be analyzed. Results: For cancer detection, 92 pre-treatment plasma samples from HNC cases were distinguished from 674 controls with an AUC of 0.96 (0.94, 0.98). The AUC was 0.93 (0.86, 1.0) for Stage I, 0.93 (0.83, 1.0) for Stage II, 0.96 (0.94, 0.99) for Stage III, and 0.97 (0.96, 0.99) for Stage IV. For prognostication, 91 pre-treatment samples were included (7 stage I, 16 stage II, 23 stage III, 45 stage IV). Median follow-up time was 50.6 months with 27 events. Likelihood of recurrence or progression was significantly higher in samples with cancer signal above the threshold [hazard ratio 5.4 (95% CI 2.25, 12.95), log-rank P&amp;lt;0.001]. In the upcoming analysis, data will be reported on the ability to predict recurrence and relapse in post-treatment samples. Conclusions: The cfMeDIP-seq approach demonstrated robust detection of HNC, across all stages and subtypes, and the ability to predict recurrence and progression from pre-treatment samples. We will report training data with cross validation to predict recurrence and relapse using post-treatment and longitudinal sampling. Collectively, data from these studies indicate that genome wide methylome enrichment has multiple use cases across the care continuum for patients with HNC. Citation Format: Geoffrey Liu, Jun Min, Yarong Wang, Justin Burgener, Ben Brown, Karen Budhraja, Junjun Zhang, Owen Hall, Shu Yi Shen, Martha Pienkowski, Shao Hui Huang, Laurie Ailles, Katrina Rey-McIntyre, Jeremy B. Provance, Eduardo Sosa, Cynthia Frye, Scott Bratman, Brian Allen, Joshua T. Jones, Abel Licon, Jing Zhang, Anne-Renee Hartman, Daniel D. De Carvalho. The development of a tissue-agnostic genome-wide methylome enrichment MRD assay for applications across the cancer care continuum for head and neck malignancies [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 2427.