Differential RNA Expression Research Articles

Detachable DNA Assembly Module to Dissect Tumor Cells Heterogeneity via RNA Pinpoint Screening.

Differential RNA expression is becoming increasingly valuable in evaluating tumor heterogeneity for a better understanding of malignant tumors and guiding personalized therapy. However, traditional techniques for analyzing cellular RNA are mainly focused on determining the absolute level of RNA, which may lead to inaccuracies in understanding tumor heterogeneity, primarily due to i) the subtle differences in certain RNA types that have similar total concentrations and ii) the existence of variations in RNA expression across different samples. Herein, a detachable DNA assembly module is proposed that is capable not only of quantifying the expression level of target RNA but also of innovatively evaluating its proportion within its RNA family population through a sequential assembly and disassembly route. Using the let-7 family as an experimental model, a significant difference is discovered in let-7a proportion between normal mammary epithelial cells and breast cancer cells, a characteristic that is often missed in bulk analysis of traditional techniques. By combining concentration and proportion information, the detachable DNA assembly module demonstrates markedly higher efficiency in discerning among various types of cells compared to traditional techniques. This innovative assembly module is expected to offer a new perspective to highlight tumor heterogeneity and guide personalized therapy.

Differential circRNA Screening and Identification of Subcutaneous Fat Tissue in Plateau-type Yaks under Different Feeding Methods

Background: In order to explore the differential expression of circular RNA (circRNA) in the subcutaneous fat tissue of Qinghai yaks under different feeding methods during the dry grass period and its regulatory mechanism. Methods: The present study adopted Illumina sequencing technology to sequence the transcriptome of subcutaneous fat tissue of Qinghai yaks naturally grazed and fattened by housed feeding during the dry grass period and used bioinformatics software to screen out the differentially expressed. The circRNAs were screened for differential expression using bioinformatics software. circRNAs related to fat metabolism were screened by GO function and KEGG pathway enrichment analysis of their source genes and three differentially expressed circRNAs were randomly screened and the expression of the circRNAs was verified by real-time fluorescence quantitative PCR (qRT-PCR). Result: Transcriptome sequencing results showed that a total of 628 differentially expressed circRNAs were obtained, of which 219 were up-regulated and 409 were down-regulated. GO functional enrichment analysis showed that the circRNAs in the free-grazing group originated from genes for major molecular constructs, cellular parts, organs, bioregulation and cellular processes, etc. KEGG pathway enrichment analysis showed that the circRNAs could be participate in signaling pathways such as phagosomes, protein digestion and absorption. qRT-PCR results showed that the expression levels of the three circRNAs were consistent with the sequencing results and the sequencing results were accurate and reliable. This experiment provides a molecular basis for further understanding of fat metabolism in yaks.

8786 Novel TGFbeta Ligand Regulated Genes in WT and FSTL3 KO Testis Identified by ChIP-Seq Analysis: Implications for Signalling Cross-talk

Abstract Disclosure: R. Ballesteros: None. A. Mukherjee: None. Folistatin Like 3 (FSTL3) is a known antagonist of activin and myostatin action that when deleted from the mouse genome displayed a set of phenotypic changes that are directly linked to glucose metabolism and reproductive function. Although our previous work showed that β-cell hyperplasia, increased pancreatic islet number and size and reduced visceral fat seen in FSTL3 knockout mice (FSTL3 KO) could be explained by enhanced activin and myostatin action, the molecular bases of the changes in the reproductive function seen in this mouse model remain elusive. In contrast to testicular degeneration produced by INHBA (activin A) transgenic overexpression in mice, deletion of FSTL3 results in increased testicular size, with increased Sertoli cell numbers and early meiotic entry of the first spermatogenic wave. This suggests a possibility that the phenotype in FSTL3 deleted mice might involve alteration of additional transcripts other than those induced by activin alone in the testis. To identify transcripts induced in FSTL3 deleted testis as a consequence of induced TGFβ ligand action we performed sequencing of Smad4 Chromatin immunoprecipitation (ChIP-Seq) from postnatal (3d) and post-pubertal (56d) whole testis. Our results show high activity of Smad4 signalling during postnatal stages compared to post-pubertal stages in both genotypes (Fstl3-KO vs wild-type). Interestingly, postnatal testis from FSTL3 KO contains significantly less activity from Smad4 signalling (69 peaks) compared to wild type (775 peaks). By contrast, on the whole, Smad4 signalling in post-pubertal stages is less active with 34 peaks in wild-type and 29 peaks in Fstl3-KO of which 8 genes are SMAD activated in both genotypes. To identify whether SMAD-dependent signalling produces significant differences in RNA expression, we then used the list of genes that generated peaks in the Smad4-ChIP-Seq experiment to filter our RNA-Seq data generated in a parallel experiment followed by differential gene expression analysis of GO terms by GSEA in postnatal testis from both genotypes. We found that Smad4-interacting genes in posnatal FSTL3 KO testis generate enrichment of 13 pathways including the androgen receptor signalling pathway. Taken together so far, our findings reveal a novel catalogue of SMAD-regulated genes in the testis, identifies a set of genes specifically upregulated in the testis in a SMAD-dependent manner upon FSTL3 deletion and also identify possible cross-talk between TGFβ and 13 other signalling pathways. Currently we are further analysing our data to identify whether there are SMAD regulated genes and pathways common in postnatal and postpubertal testes. We are also undertaking experiments to investigate expression pattern in FSTL3 KO testis to identify which pathways might specifically affect Sertoli cell proliferation and activity. Presentation: 6/2/2024

8786 Novel TGFbeta Ligand Regulated Genes in WT and FSTL3 KO Testis Identified by ChIP-Seq Analysis: Implications for Signalling Cross-talk

Abstract Disclosure: R. Ballesteros: None. A. Mukherjee: None. Folistatin Like 3 (FSTL3) is a known antagonist of activin and myostatin action that when deleted from the mouse genome displayed a set of phenotypic changes that are directly linked to glucose metabolism and reproductive function. Although our previous work showed that β-cell hyperplasia, increased pancreatic islet number and size and reduced visceral fat seen in FSTL3 knockout mice (FSTL3 KO) could be explained by enhanced activin and myostatin action, the molecular bases of the changes in the reproductive function seen in this mouse model remain elusive. In contrast to testicular degeneration produced by INHBA (activin A) transgenic overexpression in mice, deletion of FSTL3 results in increased testicular size, with increased Sertoli cell numbers and early meiotic entry of the first spermatogenic wave. This suggests a possibility that the phenotype in FSTL3 deleted mice might involve alteration of additional transcripts other than those induced by activin alone in the testis. To identify transcripts induced in FSTL3 deleted testis as a consequence of induced TGFβ ligand action we performed sequencing of Smad4 Chromatin immunoprecipitation (ChIP-Seq) from postnatal (3d) and post-pubertal (56d) whole testis. Our results show high activity of Smad4 signalling during postnatal stages compared to post-pubertal stages in both genotypes (Fstl3-KO vs wild-type). Interestingly, postnatal testis from FSTL3 KO contains significantly less activity from Smad4 signalling (69 peaks) compared to wild type (775 peaks). By contrast, on the whole, Smad4 signalling in post-pubertal stages is less active with 34 peaks in wild-type and 29 peaks in Fstl3-KO of which 8 genes are SMAD activated in both genotypes. To identify whether SMAD-dependent signalling produces significant differences in RNA expression, we then used the list of genes that generated peaks in the Smad4-ChIP-Seq experiment to filter our RNA-Seq data generated in a parallel experiment followed by differential gene expression analysis of GO terms by GSEA in postnatal testis from both genotypes. We found that Smad4-interacting genes in posnatal FSTL3 KO testis generate enrichment of 13 pathways including the androgen receptor signalling pathway. Taken together so far, our findings reveal a novel catalogue of SMAD-regulated genes in the testis, identifies a set of genes specifically upregulated in the testis in a SMAD-dependent manner upon FSTL3 deletion and also identify possible cross-talk between TGFβ and 13 other signalling pathways. Currently we are further analysing our data to identify whether there are SMAD regulated genes and pathways common in postnatal and postpubertal testes. We are also undertaking experiments to investigate expression pattern in FSTL3 KO testis to identify which pathways might specifically affect Sertoli cell proliferation and activity. Presentation: 6/2/2024

6468 Once-Weekly Semaglutide and Taste Perception in Women with Obesity

Abstract Disclosure: M. Jensterle Sever: None. J. Kovac: None. A. Vovk: None. S. Battelino: None. T. Battelino: None. A. Janez: None. Objective: Semaglutide is a glucagon-like peptide-1 (GLP-1) analogue that causes weight loss by reducing appetite and lowering the desire for energy-dense, salty, and spicy foods, thereby reducing energy intake. We hypothesized that semaglutide would improve the taste sensitivity and modulate the tongue transcriptomic profile associated with gustatory coding in women with obesity.Design: We conducted a 16-week, single-blinded, randomized, placebo-controlled clinical trial involving 30 women aged 33.7 ± 6.1 years with a body mass index of 36.4 ± 4.4 kg/m2, randomized in a 1:1 ratio to once-weekly semaglutide 1.0 mg or a placebo (ClinicalTrials.gov number, NCT04263415). Methods: Taste sensitivity was assessed by strips impregnated with different concentrations of four basic tastes. Biopsies of the tongue were performed for the gene expression analysis. The brain responses were evaluated by functional MRI with the sweet solution dripping onto the tongue before and after a standardized meal intake. Results: Semaglutide improved the taste sensitivity expressed as a mean (± SD) from 11.9 ± 1.9 points to 14.4 ± 1.0 points, with an estimated treatment difference (ETD) of 2.5 points [95% CI, 1.7 to 3.3]. Genes EYA, PRMT8, CRLF1, and CYP1B1, associated with taste signaling transduction pathways, neural plasticity, and renewal of taste buds in the tongue, exhibited differential RNA expression across all tests performed by a multi-tiered analytical pipeline. Semaglutide increased functional activity in the angular gyrus of the parietal cortex in response to tasting the sweet solution compared to the distilled water 30 minutes after a standardized meal intake (semaglutide vs. placebo, p<0.001). Angular gyrus functions as a cross-modal hub where converging multisensory information is combined and integrated to comprehend and give sense to events and stimuli, manipulate mental representations, and solve familiar problems. It expresses GLP-1 receptor and is a part of the default mode network associated with shifting attention between rewarding and neutral stimuli, which has reduced connectivity in people with obesity. Conclusion: The present study provided evidence that semaglutide improved taste sensitivity, altered gene expression in the tongue linked to taste perception, and altered functional brain activity in an integrative hub beyond hypothalamic and midbrain reward circuitry in response to the sweet taste stimulus. Future studies will clarify whether the efficacy of semaglutide in treating obesity is also a »matter of taste«. Presentation: 6/1/2024

Differential expression of small RNAs in biofilm-producing clinical methicillin-susceptible Staphylococcus aureus recovered from human urine

Bacterial small RNAs (sRNAs) play crucial roles in coordinating gene regulatory networks in various physiological processes, including biofilm formation. In this study, RNA sequencing was performed on biofilm (n = 4) and planktonic (n = 4) cells harvested at 10 h (pre-stationary phase of biofilm development) to identify biofilm-associated sRNAs in human methicillin-susceptible Staphylococcus aureus (MSSA) recovered from urine isolate. A total of 56 highly expressed sRNAs were identified with 15 overlapping sRNA genes (srn_9348, sprD, sRNA205, sRNA288, srn_2467, Sau-25, srn_2468, sRNA260, sRNA200, RsaE, sRNA397, Teg55, Teg60, RsaX05 and Teg140). Further validation through RT-qPCR analysis of nine sRNAs revealed that srn_9348 and sRNA260 were significantly expressed in the biofilm cells of urine sample. Both sRNAs were predicted to interact with mRNA genes including intracellular adhesin A (icaA) and host factor protein (hfq) involved in biofilm formation via cis-acting and trans-acting using CopraRNA analysis. Therefore, both sRNAs merit further investigations via reverse genetic approaches to elucidate their mechanism of translational regulation. In summary, the transcriptomic analysis conducted in this study offers new insights into the potential regulatory roles of sRNAs in MSSA biofilm development within the urinary environment.

Identification of a Plasma Exosomal lncRNA- and circRNA-Based ceRNA Regulatory Network in Patients With Lung Adenocarcinoma.

Exosomes have been established to be enriched with various long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) that exert various biological effects. However, the lncRNA- and circRNA-mediated coexpression competing endogenous RNA (ceRNA) regulatory network in exosomes derived from the plasma of patients with lung adenocarcinoma (LUAD) remains elusive. This study enrolled nine patients with lung adenocarcinoma and three healthy individuals, and the differential expression of messenger RNAs (mRNAs), lncRNAs, and circRNAs was detected using microarray analysis, while microRNAs (miRNAs) were detected through RNA sequencing. Additionally, bioinformatics algorithms were applied to evaluate the lncRNA-miRNA-mRNAs/circRNA-miRNA-mRNA network. Differentially expressed cicRNAs were identified via quantitative reverse transcription polymerase chain reaction (RT-qPCR). A total of 1016 lncRNAs, 1396 circRNAs, 45 miRNAs, and 699 mRNAs were differentially expressed in the plasma exosomes of patients with LUAD compared with healthy controls. Among them, 881 lncRNAs were upregulated and 135 were downregulated, 916 circRNAs were upregulated while 480 were downregulated, 45 miRNAs were upregulated while none were downregulated, and 591 mRNAs were upregulated while 108 were downregulated (p ≤ 0.05, and fold change ≥ 2). Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed the biological functions of differentially expressed RNAs. Meanwhile, the RNA networks displayed the regulatory relationship between dysregulated RNAs. Finally, RT-qPCR validated that the expression of circ-0033861, circ-0043273, and circ-0011959 was upregulated in the plasma exosome of patients with LUAD compared to healthy controls (p = 0.0327, p = 0.0002, p = 0.0437, respectively). This study proposed a newly discovered ncRNA-miRNA-mRNA/circRNA-miRNA-mRNA ceRNA network and identified that the expression of circulating circ-0033861, circ-0043273, and circ-0011959 was up-regulated in the plasma exosomes of patients with LUAD, offering valuable insights for exploring the potential function of exosomal noncoding RNA and identifying potential biomarkers for LUAD.

HATZFS predicts pancreatic cancer driver biomarkers by hierarchical reinforcement learning and zero-forcing set

The search for cancer biomarkers is of great significance for the early diagnosis and clinical treatment planning of pancreatic cancer. RNA transcription networks can effectively represent the interactions between RNA molecules, and the irregular perturbations in these interactions can lead to pathological states, making them commonly used for identifying cancer biomarkers. However, traditional network-based methods for identifying cancer biomarkers often rely on prior information and mutation data. Furthermore, most network controllability-based methods face the limitation of high computational complexity, preventing their integration with deep learning methods. In this paper, we propose a novel deep learning framework, called HATZFS, for identifying driver biomarkers in pancreatic cancer using RNA differential expression data. The proposed model combines hierarchical deep Q-network (HDQN), graph attention network (GAT), and zero-forcing set (ZFS). Firstly, a pancreatic cancer RNA transcription regulatory network is constructed to embed the complex relationship among Long non-coding RNA (lncRNA), microRNA (miRNA) and messenger RNA (mRNA). Then, we transform it into multiple subgraphs using graph sampling method, and apply GAT to learn the node features of the subgraphs. Finally, the HATZFS performs HDQN to select subgraphs and identify important RNA as driver nodes, and determining the controllability of the subgraphs based on ZFS. More important, the paper theoretically proves that when all subgraphs are controllable, the original graph is also controllable, and the union of the driver node sets of all subgraphs is equal to the driver node set of the original graph. To confirm the effectiveness of the proposed model, comprehensive experiments are conducted on the benchmark dataset consisting of 14 databases, comparing it with eight other algorithms. The experimental results demonstrate that the proposed model outperforms other methods. Overall, HATZFS not only provides the importance of all RNA molecules in the pancreatic cancer RNA regulatory network, but also identifies the driver node set of the network as driver biomarkers. Source code can be accessed at https://github.com/HongJieTongXue/HATZFS.

Distinct negative-sense RNA viruses induce a common set of transcripts encoding proteins forming an extensive network.

The large group of negative-strand RNA viruses (NSVs) comprises many important pathogens. To identify conserved patterns in host responses, we systematically compared changes in the cellular RNA levels after infection of human hepatoma cells with nine different NSVs of different virulence degrees. RNA sequencing experiments indicated that the amount of viral RNA in host cells correlates with the number of differentially expressed host cell transcripts. Time-resolved differential gene expression analysis revealed a common set of 178 RNAs that are regulated by all NSVs analyzed. A newly developed open access web application allows downloads and visualizations of all gene expression comparisons for individual viruses over time or between several viruses. Most of the genes included in the core set of commonly differentially expressed genes (DEGs) encode proteins that serve as membrane receptors, signaling proteins and regulators of transcription. They mainly function in signal transduction and control immunity, metabolism, and cell survival. One hundred sixty-five of the DEGs encode host proteins from which 47 have already been linked to the regulation of viral infections in previous studies and 89 proteins form a complex interaction network that may function as a core hub to control NSV infections.IMPORTANCEThe infection of cells with negative-strand RNA viruses leads to the differential expression of many host cell RNAs. The differential spectrum of virus-regulated RNAs reflects a large variety of events including anti-viral responses, cell remodeling, and cell damage. Here, these virus-specific differences and similarities in the regulated RNAs were measured in a highly standardized model. A newly developed app allows interested scientists a wide range of comparisons and visualizations.

Mutant P53 modulation by cryptolepine through cell cycle arrest and apoptosis in triple negative breast cancer

BackgroundTriple Negative Breast cancer is an aggressive breast cancer subtype. It has a more aggressive clinical course, an earlier age of onset, a larger propensity for metastasis, and worse clinical outcomes as evidenced by a higher risk of recurrence and a shorter survival rate. Currently, the primary options for TNBC treatment are surgery, radiation, and chemotherapy. These treatments however remain ineffective due to recurrence. However, given that p53 mutations have been identified in more than 60–88 % of TNBC, translating p53 into the clinical situation is particularly important in TNBC. In this study, we screened and evaluated the therapeutic potential of cryptolepine (CRP) in TNBC in-vitro models being an anti-malarial drug it could be repurposed as an anti-cancer therapeutic targeting TNBC. Moreover, the cytotoxicity activity of cryptolepine to TNBC cells and a detailed anti-tumor mechanism in mutant P53 has not been reported before. MethodsMTT assays were used to examine the cytotoxicity and cell viability activity of Cryptolepine in TNBC, non-TNBC T47D and MCF-7 and non-malignant MCF10A cells. Scratch wound and clonogenic assay was used to evaluate the cryptolepine’s effect on migration and colony forming ability of TNBC cells. Flow cytometry, MMP and DAPI was used to assess cell cycle arrest and cell apoptosis mechanism. The expression of proteins was detected by western blots. The differential expression of RNAs was evaluated by RT-PCR and the interaction between P53 and drug was evaluated computationally using in-silico approach and in-vitro using ChIP assay. ResultsIn this study, we found that cryptolepine has more preferential cytotoxicity in TNBC than non-TNBC cells. Notably, our studies revealed the mechanism by which cryptolepine induces intrinsic apoptosis and inhibit migration, colony formation ability, induce cell cycle arrest by inducing conformational change in the mutant P53 thereby increasing its DNA binding ability, hence activating its tumor suppressing potential significantly. ConclusionOur study revealed that CRP significantly reduced the proliferation, migration and colony forming ability of TNBC cells lines. Moreover, it was revealed that CRP induces cell cycle arrest and apoptosis by activating mutant P53 and enhancing its DNA binding ability to induce its tumor suppressing ability.

TREM2, a critical activator of pyroptosis, mediates the anti‑tumor effects of piceatannol in uveal melanoma cells via caspase 3/GSDME pathway

Uveal melanoma (UM) is the most prevalent type of primary intraocular malignancy and is prone to metastasize, particularly to the liver. However, due to the poor understanding of the pathogenesis of UM, effective therapeutic approaches are lacking. As a phenolic compound extracted from grapes, piceatannol (PIC) exhibits anti‑cancer properties. To the best of our knowledge, however, the effects of PIC on UM have not been well investigated. Therefore, in the present study, considering the impact of pyroptosis on modulating cell viability, the mechanism underlying the effects of PIC on UM cell proliferation was explored. The inhibitory effect of PIC on proliferation of UM cells was detected by cell counting kit‑8 assay. Wound healing was used to investigate the effects of PIC on the migration of UM cells. Activity detecting assays were performed to test the apoptosis and oxidant level in UM cells. Western blotting and RT‑qPCR were used to detect the inflammatory and pyroptotic levels of UM cell after PIC treatment. PIC‑treated UM cells were screened by high‑throughput sequencing to detect the differential expression of RNA and differential genes. Si‑TREM2 transfection was used to verify the important role of TREM2 in the effects of PIC. Immunohistochemical staining was used to observe the expressions of TREM2 and GSDMR of tumor in nude mice after PIC administration. PIC effectively inhibited proliferation ability of C918 and Mum‑2b UM cell lines via enhancing apoptosis, as evidenced by enhanced activities of caspase 3 and caspase 9. In addition, treatment of UM cells with PIC attenuated cell migration in a dose‑dependent manner. PIC increased reactive oxygen species levels and suppressed the activity of the antioxidant enzymes superoxide dismutase, glutathione‑S‑transferase, glutathione peroxidase and catalase. PIC inhibited inflammatory responses in C918 cells. PIC treatment upregulated IL‑1β, IL‑18 and Nod‑like receptor protein 3 and downregulated gasdermin D (GSDMD). RNA sequencing results revealed the activation of an unconventional pyroptosis‑associated signaling pathway, namely caspase 3/GSDME signaling, following PIC treatment, which was mediated by triggering receptor expressed on myeloid cells 2 (TREM2) upregulation. As an agonist of TREM2, COG1410‑mediated TREM2 upregulation inhibited proliferation of C918 cells, displaying similar effects to PIC. Furthermore, PIC inhibited tumor growth via regulating the TREM2/caspase 3/GSDME pathway in a mouse model. Collectively, the present study revealed a novel mechanism underlying the inhibitory effects of PIC on UM, providing a potential treatment approach for UM in clinic.

Is cross-species horizontal gene transfer responsible for gallbladder carcinogenesis

BackgroundCross-species horizontal gene transfer (HGT) involves the transfer of genetic material between different species of organisms. In recent years, mounting evidence has emerged that cross-species HGT does take place and may play a role in the development and progression of diseases.MethodsTranscriptomic data obtained from patients with gallbladder cancer (GBC) was assessed for the differential expression of antisense RNAs (asRNAs). The Basic Local Alignment Search Tool (BLAST) was used for cross-species analysis with viral, bacterial, fungal, and ancient human genomes to elucidate the evolutionary cross species origins of these differential asRNAs. Functional enrichment analysis and text mining were conducted and a network of asRNAs targeting mRNAs was constructed to understand the function of differential asRNAs better.ResultsA total of 17 differentially expressed antisense RNAs (asRNAs) were identified in gallbladder cancer tissue compared to that of normal gallbladder. BLAST analysis of 15 of these asRNAs (AFAP1-AS1, HMGA2-AS1, MNX1-AS1, SLC2A1-AS1, BBOX1-AS1, ELFN1-AS1, TRPM2-AS, DNAH17-AS1, DCST1-AS1, VPS9D1-AS1, MIR1-1HG-AS1, HAND2-AS1, PGM5P4-AS1, PGM5P3-AS1, and MAGI2-AS) showed varying degree of similarities with bacterial and viral genomes, except for UNC5B-AS1 and SOX21-AS1, which were conserved during evolution. Two of these 15 asRNAs, (VPS9D1-AS1 and SLC2A1-AS1) exhibited a high degree of similarity with viral genomes (Chikungunya virus, Human immunodeficiency virus 1, Stealth virus 1, and Zika virus) and bacterial genomes including (Staphylococcus sp., Bradyrhizobium sp., Pasteurella multocida sp., and, Klebsiella pneumoniae sp.), indicating potential HGT during evolution.ConclusionThe results provide novel evidence supporting the hypothesis that differentially expressed asRNAs in GBC exhibit varying sequence similarity with bacterial, viral, and ancient human genomes, indicating a potential shared evolutionary origin. These non-coding genes are enriched with methylation and were found to be associated with cancer-related pathways, including the P53 and PI3K-AKT signaling pathways, suggesting their possible involvement in tumor development.

LncRNA DERCNC in Hepatocellular Carcinoma with Cirrhosis Aggravates Tumor Proliferation by Targeting SOX9.

This study aims to understand the role of cirrhosis in promoting hepatocellular carcinoma (HCC) progression by analyzing the differential expression of long noncoding RNAs (lncRNAs) between cirrhotic hepatocellular carcinoma (CHCC) and noncirrhotic hepatocellular carcinoma (NCHCC). A transcriptional profile array was used to identify differentially expressed lncRNAs. Subsequently, a specific lncRNA was selected to evaluate the clinical significance, potential functions, regulatory targets, and pathways through both in vitro and in vivo experiments. The study identified a lncRNA, which we termed DERCNC, an acronym for Differentially Expressed RNA between Cirrhotic and Non-Cirrhotic HCC. DERCNC was significantly more highly expressed in CHCC than in NCHCC. Clinically, elevated levels of DERCNC expression were positively correlated with both the cirrhotic state and tumor stage and inversely correlated with tumor differentiation. Furthermore, high expression of DERCNC was associated with a poor prognosis for patients. Conditioned medium from the hepatic stellate cell (LX2) was found to enhance DERCNC expression, SOX9 expression, and tumor proliferation. Overexpression of DERCNC similarly promoted tumor proliferation and increased SOX9 levels. Conversely, DERCNC silencing resulted in the opposite effects. Moreover, the pro-proliferative function of DERCNC was reversible through the modulation of SOX9 expression. Further mechanistic studies revealed that DERCNC upregulated SOX9 by increasing the enrichment of H3K27ac modifications near the SOX9 promoter. In conclusion, DERCNC expression in CHCC has significant clinical implications and can aggravate tumor proliferation by targeting SOX9. This represents a novel mechanism by which cirrhosis promotes tumor progression.

Differential expression of long non-coding RNAs in colon cancer: Insights from transcriptomic analysis

BackgroundColon Cancer (CC) incidence has sharply grown in recent years. Long non-coding RNAs (lncRNA) are produced by a group of non-protein-coding genes, and have important functions in controlling gene expression and impacting the biological features of various malignancies including CC. MethodsOur research focused on examining the function of lncRNAs in the development of colon cancer. To this end, we selected and analyzed a dataset (GSE104836) from the GEO database, which contained information about the expression of mRNAs and lncRNAs in both colon cancer tissues and normal adjacent paired tumor tissues. The DESeq2 R package in Bioconductor was used to identify differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) that showed differences in expression levels. Next, by literature review of previous studies, we chose two lncRNAs (FENDRR and LINC00092) for additional studies. To validate our findings, a series of tests were performed on a total of 31 tumor tissues and normal paired adjacent tumor tissues. The lncRNA expression levels were assessed in tumor tissues as well as in surrounding normal tumor tissues. ResultsThe data confirmed that just two particular lncRNAs, FENDRR and LINC00092, had considerably decreased expression levels throughout all stages of cancer. In addition, the survival assay was conducted using the GEPIA2 software, revealing that a reduced expression of FENDRR is correlated with a reduced overall survival. Furthermore, our investigation using receiver operating characteristic (ROC) methodology revealed that these two lncRNAs had significant discriminatory ability between colon cancer and normal tissues. To determine the cause of the decrease in the activity of these two long non-coding RNAs (lncRNAs), we used methylation-specific PCR (MSP) to examine the methylation pattern of their promoter regions. Our investigation revealed hypermethylation in the promoter regions of FENDRR and LINC00092 within tumor tissues compared to normal adjacent tumor tissues. ConclusionTaken together, our findings revealed the lncRNAs signatures as potential therapeutic targets and molecular diagnostic biomarkers in colon cancer. Furthermore, the evidence provided substantiates the important role of promoter methylation in regulating the expression levels for both of these lncRNAs.

Luteolin enhances drug chemosensitivity by downregulating the FAK/PI3K/AKT pathway in paclitaxel‑resistant esophageal squamous cell carcinoma.

Drug resistance is a key factor underlying the failure of tumor chemotherapy. It enhances the stem‑like cell properties of cancer cells, tumor metastasis and relapse. Luteolin is a natural flavonoid with strong anti‑tumor effects. However, the mechanism(s) by which luteolin protects against paclitaxel (PTX)‑resistant cancer cell remains to be elucidated. The inhibitory effect of luteolin on the proliferation of EC1/PTX and EC1 cells was detected by cell counting kit‑8 assay. Colony formation and flow cytometry assays were used to assess clonogenic capacity, cell cycle and apoptosis. Wound healing and Transwell invasion tests were used to investigate the effects of luteolin on the migration and invasion of EC1/PTX cells. Western blotting was used to detect the protein levels of EMT‑related proteins and stem cell markers after sphere formation. Parental cells and drug‑resistant cells were screened by high‑throughput sequencing to detect the differential expression of RNA and differential genes. ELISA and western blotting were used to verify the screened PI3K/Akt signaling pathway, key proteins of which were explored by molecular docking. Hematoxylin and eosin staining and TUNEL staining were used to observe tumor xenografts on morphology and apoptosis in nude mice. The present study found that luteolin inhibited tumor resistance (inhibited proliferation, induced cell cycle arrest and apoptosis and hindered migration invasion, EMT and stem cell spherification) in vitro in PTX‑resistant esophageal squamous cell carcinoma (ESCC) cells. In addition, luteolin enhanced drug sensitivity and promoted the apoptosis of drug‑resistant ESCC cells in combination with PTX. Mechanistically, luteolin may inhibit the PI3K/AKT signaling pathway by binding to the active sites of focal adhesion kinase (FAK), Src and AKT. Notably, luteolin lowered the tumorigenic potential of PTX‑resistant ESCC cells but did not show significant toxicity in vivo. Luteolin enhanced drug chemosensitivity by downregulating the FAK/PI3K/AKT pathway in PTX‑resistant ESCC and could be a promising agent for the treatment of PTX‑resistant ESCC cancers.

Downstream-of-gene (DoG) transcripts contribute to an imbalance in the cancer cell transcriptome.

Downstream-of-gene (DoG) transcripts are an emerging class of noncoding RNAs. However, it remains largely unknown how DoG RNA production is regulated and whether alterations in DoG RNA signatures exist in major cancers. Here, through transcriptomic analyses of matched tumors and nonneoplastic tissues and cancer cell lines, we reveal a comprehensive catalog of DoG RNA signatures. Through separate lines of evidence, we support the biological importance of DoG RNAs in carcinogenesis. First, we show tissue-specific and stage-specific differential expression of DoG RNAs in tumors versus paired normal tissues with their respective host genes involved in tumor-promoting versus tumor-suppressor pathways. Second, we identify that differential DoG RNA expression is associated with poor patient survival. Third, we identify that DoG RNA induction is a consequence of treating colon cancer cells with the topoisomerase I (TOP1) poison camptothecin and following TOP1 depletion. Our results underlie the significance of DoG RNAs and TOP1-dependent regulation of DoG RNAs in diversifying and modulating the cancer transcriptome.

Noncoding RNA regulates the expression of Krm1 and Dkk2 to synergistically affect aortic valve lesions

Calcific aortic valve disease (CAVD) is becoming an increasingly important global medical problem, but effective pharmacological treatments are lacking. Noncoding RNAs play a pivotal role in the progression of cardiovascular diseases, but their relationship with CAVD remains unclear. Sequencing data revealed differential expression of many noncoding RNAs in normal and calcified aortic valves, with significant differences in circHIPK3 and miR-182-5p expression. Overexpression of circHIPK3 ameliorated aortic valve lesions in a CAVD mouse model. In vitro experiments demonstrated that circHIPK3 inhibits the osteogenic response of aortic valve interstitial cells. Mechanistically, DEAD-box helicase 5 (DDX5) recruits methyltransferase 3 (METTL3) to promote the N6-methyladenosine (m6A) modification of circHIPK3. Furthermore, m6A-modified circHIPK3 increases the stability of Kremen1 (Krm1) mRNA, and Krm1 is a negative regulator of the Wnt/β-catenin pathway. Additionally, miR-182-5p suppresses the expression of Dickkopf2 (Dkk2), the ligand of Krm1, and attenuates the Krm1-mediated inhibition of Wnt signaling. Activation of the Wnt signaling pathway significantly contributes to the promotion of aortic valve calcification. Our study describes the role of the Krm1-Dkk2 axis in inhibiting Wnt signaling in aortic valves and suggests that noncoding RNAs are upstream regulators of this process.

CircSORBS1 inhibits lung cancer progression by sponging miR-6779-5p and directly binding RUFY3 mRNA

Lung cancer is the primary cause of cancer-related death worldwide, and its global incidence and mortality rates remain high. The differential expression of circular RNAs (circRNAs) can affect the development of cancer, but the mechanisms by which circRNAs regulate lung cancer progression remain unclear. In this study, we identified circSORBS1, a circRNA that has not been previously described in lung cancer and is significantly underexpressed in lung cancer tissues, blood and cell lines, and the low expression of circSORBS1 correlated with tumour grade and prognosis. In vitro and in vivo functional experiments revealed that circSORBS1 overexpression inhibited cell proliferation and migration while enhancing apoptosis. Mechanistically, circSORBS1 acts as a sponge for miR-6779-5p, indirectly inhibiting RUFY3 mRNA degradation. Simultaneously, it binds to RUFY3 mRNA to enhance its stability. This dual regulatory mechanism leads to an increase in RUFY3 protein levels, which ultimately activates the YWHAE/BAD/BCL2 apoptotic signalling pathway and suppresses lung cancer progression. Our findings not only increase the knowledge about the regulatory pattern of circRNA expression but also provide new insights into the mechanisms by which circRNAs regulate lung cancer development.

Abstract PR009: Cytidine diphosphate diacylglycerol synthase 2 is a synthetic lethal target in mesenchymal cancers

Abstract Synthetic lethal interactions (SLIs) can provide a therapeutic index, as illustrated by PARP inhibition of BRCA-deficient cancers. This clinical success, and other examples, have spurred efforts to identify additional cancer-associated SLIs. Whereas additional SLIs based on genomic alterations in cancer have been identified, we set out to explore the SLI space as a function of differential RNA expression profiles in cancer and normal tissue, covering all ∼3.4e8 gene pairs. In our bioinformatic pipeline, synthetic lethality is scored by correlating DepMap dependency and expression data (n = 913 cancer cell lines), while cancer specificity is scored by comparing TCGA expression data for 9264 tumors and 741 healthy samples. Cancer specificity is confirmed by comparing also calibrated GTEx data for 17382 healthy tissue samples with calibrated DepMap expression data. With this pipeline we uncovered a frequent cancer-specific SLI between the paralogs cytidine diphosphate diacylglycerol synthase 1 (CDS1) and CDS2 (p<0.001 in all three analyses). Essentiality of CDS2 is observed in one third of cultured cancers (DepMap). Using CRISPR-Cas9 we confirm the CDS1-dependency for CDS2 essentiality in a panel of 12 cultured cancer cell lines, with lethality by CDS2 ablation reaching up to 98% in CDS1-negative cell lines. We also confirm the SLI using admixing experiments in tumor-bearing mice for two cell lines (6 mice per group, up to 95% synthetic lethality, p<0.001). The essentiality of CDS2 for cell survival is observed for mesenchymal-like cancers, which commonly express low levels of CDS1. To biochemically define the effects of CDS2 perturbation in CDS1-negative cancer cells, we performed multi-omic analyses in a panel of CDS1-negative cancer cell lines. The results show that mechanistically, the CDS1-2 SLI is accompanied by disruption of lipid homeostasis, including extensive accumulation of cholesterol esters and triglycerides. Additionally, quantitative western blotting for cleaved caspase-3 showed induction of apoptotic cell death (p<0.001 in 2 cell lines). To challenge the robustness of the SLI, we performed genome-wide CRISPR-Cas9 knockout screens in a panel of four CDS1-negative cancer cell lines. This failed to identify a common escape mechanism of death caused by CDS2 ablation. These findings suggest that no common escape to the combined loss of CDS1 and CDS2 is possible through loss-of-function. In conclusion, by computational, genetic, biochemical and functional analyses we demonstrate that CDS2 may serve as a target in mesenchymal cancers, meriting therapeutic exploration. Citation Format: Tim Arnoldus, Alex van Vliet, Adriaan F.H. de Groot, Niek Blomberg, Onno B. Bleijerveld, Susan E. van Hal-van Veen, Anita E. Grootemaat, Rolf Harkes, Nicole N. van der Wel, Maarten Altelaar, Martin Giera, Daniel S. Peeper. Cytidine diphosphate diacylglycerol synthase 2 is a synthetic lethal target in mesenchymal cancers [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr PR009.

Comprehensive multimodal and multiomic profiling reveals epigenetic and transcriptional reprogramming in lung tumors.

Epigenomic mechanisms are critically involved in mediation of genetic and environmental factors that underlie cancer development. Histone modifications represent highly informative epigenomic marks that reveal activation and repression of gene activities and dysregulation of transcriptional control due to tumorigenesis. Here, we present a comprehensive epigenomic and transcriptomic mapping of 18 tumor and 20 non-neoplastic tissues from non-small cell lung adenocarcinoma patients. Our profiling covers 5 histone marks including activating (H3K4me3, H3K4me1, and H3K27ac) and repressive (H3K27me3 and H3K9me3) marks and the transcriptome using only 20 mg of tissue per sample, enabled by low-input omic technologies. Using advanced integrative bioinformatic analysis, we uncovered cancer-driving signaling cascade networks, changes in 3D genome modularity, and differential expression and functionalities of transcription factors and noncoding RNAs. Many of these identified genes and regulatory molecules showed no significant change in their expression or a single epigenomic modality, emphasizing the power of integrative multimodal and multiomic analysis using patient samples.