lncRNA Expression Research Articles

Assessment of Expression of lncRNAs in Autistic Patients.

Autism is a severe neurodevelopmental condition with unknown pathobiology. Nevertheless, multiple pieces of evidence suggest long non-coding RNA (lncRNA) dysregulation may be a contributing factor to this disorder. We investigated the association between the expression of five specific lncRNAs and autism. Peripheral blood was collected from 30 children with autism and 41 healthy children. The expression levels ofPCAT-29, lincRNA-ROR, LINC-PINT, lincRNA-p21, and PCAT-1 were calculated. Then, their significance as biomarkers was also evaluated.The expression of LincRNA-ROR (27 times), LINC-PINT (5.26 times), LincRNA-p21 (4.54 times), PCAT-29 (16.66 times), and PCAT-1 (25 times) genes was significantly decreased in patients compared to the control group (p values < 0.05). According to the ROC curve analysis for each lncRNA, LincRNA-ROR, LINC-PINT, LincRNA-p21, PCAT-29, and PCAT-1 lncRNAs with diagnostic power of 0.85, 0.67, 0.64, 0.74, and 0.84, respectively, could be used as diagnostic biomarkers for autism. Additionally, significant positive correlations were reported between expression levels of PCAT-1 and PCAT-29 genes. Moreover, a positive correlation was detected between expression levels of lincRNA-ROR and patients' age. The current study shows further pieces of evidence for deregulation of lncRNAs in autistic patients that show these lncRNAs may play an important part in the pathogenesis of ASD. However, the role of lncRNA in the neurobiology of autism needs to be investigated further.

An experimental study to estimate the early postmortem interval based on the degradation of lncRNAs in rat brain tissue

To study the degradation of lncRNAs in EPMI in rat brain tissue, this study provides a new direction for the estimation of EPMI. LncRNA high-throughput sequencing was performed on the brain tissues of hemorrhagic shock model rats at 0 h and 24 h, and the target lncRNAs were screened. Samples at 0, 1, 3, 6, 12, 18 and 24 h after death were collected, and miRNA-9 and miRNA-125b were used as reference genes. The relative expression levels of lncRNAs at each PMI were detected by RT–qPCR, and a functional model involving lncRNAs and EPMI was established. Samples were collected at 6, 9, 15, and 21 h after death for functional model verification. The expression of several lncRNAs decreased with the prolongation of EPMI, and the mathematical model established by several lncRNA indices exhibited good fit. The verification results of the multi-index joint function model are significantly better than those of the single-index function model, and the established model is more practical. There is a linear relationship between lncRNAs and EPMI, and the multi-index function model is significantly better than the single-index function model, which is important for EPMI inference in forensic pathology practice.

Identification and characterization of early human photoreceptor states and cell-state-specific retinoblastoma-related features.

Human cone photoreceptors differ from rods and serve as the retinoblastoma cell-of-origin, yet the developmental basis for their distinct behaviors is poorly understood. Here, we used deep full-length single-cell RNA-sequencing to distinguish post-mitotic cone and rod developmental states and identify cone-specific features that contribute to retinoblastomagenesis. The analyses revealed early post-mitotic cone- and rod-directed populations characterized by higher THRB or NRL regulon activities, an immature photoreceptor precursor population with concurrent cone and rod gene and regulon expression, and distinct early and late cone and rod maturation states distinguished by maturation-associated declines in RAX regulon activity. Unexpectedly, both L/M cone and rod precursors co-expressed NRL and THRB RNAs, yet they differentially expressed functionally antagonistic NRL and THRB isoforms and prematurely terminated THRB transcripts. Early L/M cone precursors exhibited successive expression of several lncRNAs along with MYCN , which composed the seventh most L/M-cone-specific regulon, and SYK , which contributed to the early cone precursors' proliferative response to RB1 loss. These findings reveal previously unrecognized photoreceptor precursor states and a role for early cone-precursor-intrinsic SYK expression in retinoblastoma initiation.

Long Non-Coding RNA Profile in Genetic Symptomatic and Presymptomatic Frontotemporal Dementia: A GENFI Study.

Long non-coding RNAs (lncRNAs) play crucial roles in gene regulation and are implicated in neurodegenerative diseases, including frontotemporal dementia (FTD). However, their expression patterns and potential as biomarkers in genetic FTD involving Chromosome 9 Open Reading Frame (C9ORF72), Microtubule Associated Protein Tau (MAPT), and Progranulin (GRN) genes are not well understood. This study aimed to profile the expression levels of lncRNAs in peripheral blood mononuclear cells collected within the GENetic Frontotemporal dementia Initiative (GENFI). Fifty-three lncRNAs were analyzed with the OpenArray Custom panel, in 131 patients with mutations in C9ORF72, MAPT, and GRN, including 68 symptomatic mutation carriers (SMC) and 63 presymptomatic mutation carriers (PMC), compared with 40 non-carrier controls (NC). Thirty-eight lncRNAs were detectable; the relative expression of NEAT1 and NORAD was significantly higher in C9ORF72 SMC as compared with NC. GAS5 expression was instead significantly lower in the GRN group versus NC. MAPT carriers showed no significant deregulations. No significant differences were observed in PMC. Disease duration did not correlate with lncRNA expression. NEAT1 and NORAD are upregulated in C9ORF72 SMC and GAS5 levels are downregulated in GRN SMC, underlining lncRNAs' relevance in FTD and their potential for biomarker development. Further validation and mechanistic studies are crucial for clinical implications.

Utilizing Liquid–liquid phase separation-related lncRNAs to predict the prognosis and treatment response of PCa

BackgroundStudies have indicated a close association between genes linked to liquid–liquid phase separation (LLPS) and the progression of prostate cancer (PCa). However, the interplay among long non-coding RNAs (lncRNAs) linked to LLPS in PCa remains elusive. Therefore, we constructed a prediction model based on LLPS-related LncRNA in PCa to explore its relationship with the prognosis and drug treatment of PCa.MethodsWe obtained clinical and sequencing data from TCGA and LLPS genes from the Phase Separation Protein Database. By analyzing the differential expression of LLPS-related genes and lncRNAs in prostate cancer, and using Poisson correlation, we identified LLPS-related lncRNAs. Prognostic LLPS-lncRNAs were found through prognostic correlation analysis and included in a Cox model to compute regression coefficients. Patients were scored and divided into high- and low-risk groups. Independent prognostic factors were integrated into a prognostic nomogram with risk and Gleason scores. We also conducted drug sensitivity analyses, GSEA, and validated the impact of key lncRNAs through functional experiments.ResultsOur study identified five LLPS-associated lncRNAs that are of prognostic importance. And found notable disparities in biochemical recurrence rates and survival outcomes between these risk groups, with the low-risk cohort exhibiting superior prognostic indicators. Moreover, our prediction nomogram demonstrated robust predictive accuracy and significant clinical utility. Furthermore, our model exhibited promising capabilities in forecasting patient sensitivity to various conventional therapeutic drugs, thereby highlighting its potential in personalized treatment strategies. GSEA showed that these lncRNAs may influence PCa prognosis and sensitivity to therapeutic agents by affecting pathways such as cell cycle. Knockdown of AC009812.4 could inhibit the ability of PCa cells to proliferate, migrate and invade, and compare to paracancerous tissue, AC009812.4 in PCa tissue has significantly higher expression.ConclusionOur research uncovers the prognostic significance of lncRNAs associated with LLPS in PCa and established a model exhibiting excellent predictive accuracy for prognosis. Those lncRNAs may influence progress of PCa as well as sensitivity to therapy drugs through pathways such as cell cycle.

Navigating the labyrinth of long non-coding RNAs in colorectal cancer: From chemoresistance to autophagy

Long non-coding RNAs (lncRNAs), with transcript lengths exceeding 200 nucleotides and little or no protein-coding capacity, have been found to impact colorectal cancer (CRC) through various biological processes. LncRNA expression can regulate autophagy, which plays dual roles in the initiation and progression of cancers, including CRC. Abnormal expression of lncRNAs is associated with the emergence of chemoresistance. Moreover, it has been confirmed that targeting autophagy through lncRNA regulation could be a viable approach for combating chemoresistance. Two recent studies titled “Human β-defensin-1 affects the mammalian target of rapamycin pathway and autophagy in colon cancer cells through long non-coding RNA TCONS_00014506” and “Upregulated lncRNA PRNT promotes progression and oxaliplatin resistance of colorectal cancer cells by regulating HIPK2 transcription” revealed novel insights into lncRNAs associated with autophagy and oxaliplatin resistance in CRC, respectively. In this editorial, we particularly focus on the regulatory role of lncRNAs in CRC-related autophagy and chemoresistance since the regulation of chemotherapeutic sensitivity by intervening with the lncRNAs involved in the autophagy process has become a promising new approach for cancer treatment.

The Association between Long Non-Coding RNAs and Alzheimer's Disease.

Neurodegeneration occurs naturally as humans age, but the presence of additional pathogenic mechanisms yields harmful and consequential effects on the brain. Alzheimer's disease (AD), the most common form of dementia, is a composite of such factors. Despite extensive research to identify the exact causes of AD, therapeutic approaches for treating the disease continue to be ineffective, indicating important gaps in our understanding of disease mechanisms. Long non-coding RNAs (lncRNAs) are an endogenous class of regulatory RNA transcripts longer than 200 nucleotides, involved in various regulatory networks, whose dysregulation is evident in several neural and extraneural diseases. LncRNAs are ubiquitously expressed across all tissues with a wide range of functions, including controlling cell differentiation and development, responding to environmental stimuli, and other physiological processes. Several lncRNAs have been identified as potential contributors in worsening neurodegeneration due to altered regulation during abnormal pathological conditions. Within neurological disease, lncRNAs are prime candidates for use as biomarkers and pharmacological targets. Gender-associated lncRNA expression is altered in a gender-dependent manner for AD, suggesting more research needs to be focused on this relationship. Overall, research on lncRNAs and their connection to neurodegenerative disease is growing exponentially, as commercial enterprises are already designing and employing RNA therapeutics. In this review we offer a comprehensive overview of the current state of knowledge on the role of lncRNAs in AD and discuss the potential implications of lncRNA as potential therapeutic targets and diagnostic biomarkers in patients with Alzheimer's disease.

New potential diagnostic markers for verrucous hyperplasia and verrucous carcinoma based on RNA-sequencing data

Verrucous carcinoma (VC) is a rare subtype of squamous cell carcinoma (SCC) characterized by its histological presentation as a low-grade tumor with no potential for metastasis, setting it apart from invasive SCC. However, distinguishing VC from its benign counterpart, verrucous hyperplasia (VH), is challenging due to their clinical and morphological similarities. Despite the importance of accurate diagnosis for determining treatment strategies, diagnosis of VH and VC relied only on lesion recurrence after resection. To address this challenge, we generated RNA profiling data from tissue samples of VH and VC patients to identify novel diagnostic markers. We analyzed differentially expressed (DE) mRNA and long non-coding RNA (lncRNA) in tissue samples from VH and VC patients. Additionally, ChIP-X Enrichment Analysis 3 (ChEA3) was conducted to identify the top five transcription factors potentially regulating the expression of DE mRNAs in VH and VC. Our analysis of mRNA and lncRNA expression profiles in VH and VC provides insights into the underlying molecular characteristics of these diseases and offers potential new diagnostic markers. The identification of specific DE genes and lncRNAs may enable clinicians to more accurately differentiate between VH and VC, leading to better treatment choices.

Comprehensive profiling of lncRNAs in the immune response of largemouth bass to Nocardia Seriolae infection

Long noncoding RNAs (lncRNAs) are crucial regulators of various biological processes. However, it remains unclear how lncRNAs can be involved in the immune response to Nocardia seriolae invasion in largemouth bass (Micropterus salmoides). Here we leveraged the whole transcriptome RNA-seq technique to screen lncRNAs associated with the head kidney infected with Nocardia seriolae. A total of 5,661 lncRNAs were identified, comprising 2,427 known lncRNAs and 3,234 novel lncRNAs. Among these, 531 lncRNAs were found to be differentially expressed, with 213 showing increased expression and 318 showing reduced expression. In these differentially expressed lncRNAs, 176 lncRNAs may have cis-regulatory relationships with 243 protein-coding genes. For example, MSTRG.17818.1, MSTRG.10160.1 target mapk1 and rela, respectively, thereby regulating gene expression. We then exploited Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) to analyze the enrichment of target genes of lncRNAs. These target genes were found to be significantly enriched in immune signaling pathways, including RIG-I-like receptor signaling and Toll-like receptor signaling. Furthermore, we harnessed a total of 12 mRNAs, 33 miRNAs, and 167 lncRNAs to construct two lncRNA-miRNA-mRNA network maps. CeRNA maps revealed that some lncRNAs can competitively bind to the same miRNA and affect the expression of immune-related genes. For instance, MSTRG.13668.1 and MSTRG.5180.1 can simultaneously bind to mir-155–5p to increase irak4 expression. These findings suggest that lncRNAs may participate in the immune response process of infected largemouth bass with Nocardia seriolae. Overall, this work presents a thorough lncRNAs expression profile of Nocardia seriolae-infected largemouth bass and offers insights into the ceRNA regulatory processes that influence fish's immune response to bacterial infections.

The essential roles of lncRNAs/PI3K/AKT axis in gastrointestinal tumors.

The role of long noncoding RNA (lncRNA) in tumors, particularly in gastrointestinal tumors, has gained significant attention. Accumulating evidence underscores the interaction between various lncRNAs and diverse molecular pathways involved in cancer progression. One such pivotal pathway is the PI3K/AKT pathway, which serves as a crucial intracellular mechanism maintaining the balance among various cellular physiological processes for normal cell growth and survival. Frequent dysregulation of the PI3K/AKT pathway in cancer, along with aberrant activation, plays a critical role in driving tumorigenesis. LncRNAs modulate the PI3K/AKT signaling pathway through diverse mechanisms, primarily by acting as competing endogenous RNA to regulate miRNA expression and associated genes. This interaction significantly influences fundamental biological behaviors such as cell proliferation, metastasis, and drug resistance. Abnormal expression of numerous lncRNAs in gastrointestinal tumors often correlates with clinical outcomes and pathological features in patients with cancer. Additionally, these lncRNAs influence the sensitivity of tumor cells to chemotherapy in multiple types of gastrointestinal tumors through the abnormal activation of the PI3K/AKT pathway. These findings provide valuable insights into the mechanisms underlying gastrointestinal tumors and potential therapeutic targets. However, gastrointestinal tumors remain a significant global health concern, with increasing incidence and mortality rates of gastrointestinal tumors over recent decades. This review provides a comprehensive summary of the latest research on the interactions of lncRNA and the PI3K/AKT pathway in gastrointestinal tumor development. Additionally, it focuses on the functions of lncRNAs and the PI3K/AKT pathway in carcinogenesis, exploring expression profiles, clinicopathological characteristics, interaction mechanisms with the PI3K/AKT pathway, and potential clinical applications.

Unraveling the influence of LncRNA in gastric cancer pathogenesis: a comprehensive review focus on signaling pathways interplay.

Gastric cancers (GCs) are among the most common and fatal malignancies in the world. Despite our increasing understanding of the molecular mechanisms underlying GC, further biomarkers are still needed for more in-depth examination, focused prognosis, and treatment. GC is one among the long non-coding RNAs, or lncRNAs, that have emerged as key regulators of the pathophysiology of cancer. This comprehensive review focuses on the diverse functions of long noncoding RNAs (lncRNAs) in the development of GC and their interactions with important intracellular signaling pathways. LncRNAs affect GC-related carcinogenic signaling cascades including pathways for EGFR, PI3K/AKT/mTOR, p53, Wnt/β-catenin, JAK/STAT, Hedgehog, NF-κB, and hypoxia-inducible factor. Dysregulated long non-coding RNA (lncRNA) expression has been associated with multiple characteristics of cancer, such as extended growth, apoptosis resistance, enhanced invasion and metastasis, angiogenesis, and therapy resistance. For instance, lncRNAs such as HOTAIR, MALAT1, and H19 promote the development of GC via altering these pathways. Beyond their main roles, GC lncRNAs exhibit potential as diagnostic and prognostic biomarkers. The overview discusses CRISPR/Cas9 genome-modifying methods, antisense oligonucleotides, small molecules, and RNA interference as potential therapeutic approaches to regulate the expression of long noncoding RNAs (lncRNAs). An in-depth discussion of the intricate functions that lncRNAs play in the development of the majority of stomach malignancies is provided in this review. It provides the groundwork for future translational research in lncRNA-based whole processes toward GC by highlighting their carcinogenic effects, regulatory roles in significant signaling cascades, and practical scientific uses as biomarkers and therapeutic targets.

Abstract Tu133: Cardiac Adaptations and Mitochondrial Protection Through Long Noncoding RNAs Regulation in Mice on a Ketogenic Diet

Background: Heart failure, characterized by a metabolic imbalance, leads to impaired mitochondrial ATP production. Ketone bodies not only serve as an alternate energy source but also mitigate heart failure by reducing cardiac remodeling and inflammation. The role of long noncoding RNAs (lncRNAs) in cardiac remodeling and mitochondrial metabolism is increasingly appreciated, and this study examines the effect of ketogenic diet on cardiac lncRNA regulation and mitochondrial protection. Methods and Results: In a six-month study, 10-week-old male and female C57BL/6J mice were assigned to either a control diet (10% fat, 20% protein, 70% carbohydrate) or a ketogenic diet (Keto; 80% fat, 15% protein, 5% carbohydrate). Data were analyzed using unpaired two-tailed t-tests (GraphPad Prism) and reported as mean ± SE. The keto diet significantly increased blood ketone bodies (n=36/group), indicating ketosis, and led to weight gain as well as a significant decrease in heart mass relative to body weight, suggesting cardiac metabolic adaptation (Fig 1A-B) . The cardiac expression analysis of lncRNAs Anril, Caren, Carmn, Gm15441, Malat1, Miat, and Oip5-as1 via qPCR (n=13/group) revealed significant upregulation of Anril and Malat1 in the Keto hearts ( Fig 1C-D ), indicating their potential regulatory roles under ketogenic conditions. Sex-specific differences were not observed in the lncRNA expressions. Key proteins involved in mitochondrial biogenesis, protection, and metabolic adaptation, including Nrf2 and PGC1α, were significantly increased at both mRNA and protein levels (n=6-10) in the hearts of mice on keto diet ( Fig 1E-H ). Conclusion: A six-month ketogenic diet in mice promotes cardiometabolic adaptations characterized by a reduction in relative heart mass and activation of key proteins involved in mitochondrial biogenesis and protection possibly through lncRNAs Anril and Malat1. These findings shed light on novel molecular targets and the potential of ketogenic diet/ketone bodies in treating heart failure.

Abstract Mo033: Circulating Long Noncoding RNA Expression Signature Predicts Adverse Cardiovascular Outcomes in Patients with Coronary Artery Disease

Background: Patients with coronary artery disease (CAD) have increased risks of subsequent major adverse cardiovascular events (MACE). Currently, there are no reliable tools to predict recurrent MACE in CAD patients. Objective: To determine if circulating long noncoding RNA (lncRNA) expression signature predicts recurrent MACE in CAD patients. Methods: As part of the Taiwan Biosignature Study, this prospective nested case-control study included 168 CAD patients who experienced MACE during the follow-up and another 108 CAD patients who remained free of MACE after a≥24-month follow-up. Plasma lncRNAs were profiled to determine their prognostic values for MACE in CAD patients. Results: Initially, RNA sequencing in 59 CAD patients (41 with recurrent MACE) revealed that a total of 124 plasma lncRNAs were dysregulated in CAD patients with recurrent MACE. Subsequent analyses showed that the expression signature of these lncRNAs classified CAD patients with vs. without recurrent MACE with an accuracy of 93%. Elevated levels of plasma lnc-NCF1-1, BRE-AS1, lnc-ZFAT-6, lnc-SLC46A3-5, lnc-CXCL3-2 and lnc-EBF3-4 were associated with increased risks of recurrent MACE. Additional studies in the remaining 217 CAD patients (127 with recurrent MACE) validated that increased plasma levels of lnc- NCF1-1, BRE-AS1, lnc-ZFAT-6, and lnc-EBF3-4 were significant predictors of recurrent MACE. In addition, lnc-SCORE, an index calculated from MACE-associated plasma lncRNA levels, was shown to be a strong independent predictor (adjusted HR, 2.70 [95% CI 1.78-4.09]) of recurrent MACE in CAD patients. BRE-AS1 and lnc-ZFAT-6 , two endothelium-enriched MACE-associated lncRNAs, were specifically dysregulated in cardiomyopathy of ischemic, but not of non-ischemic, origin, suggesting their potential contribution to the development of myocardial ischemia. Moreover, knocking BRE-AS1 reversed hypoxia-induced upregulation of VCAM-1 in human aortic endothelial cells, suggesting its functional contribution to vascular inflammation upon ischemia. Conclusions: This study shows the prognostic roles of circulating lncRNAs in predicting recurrent MACE in CAD patients. Endothelium-enriched lncRNA BRE-AS1 is involved in ischemia-induced vascular inflammation.

TNFAIP1 promotes macrophage lipid accumulation and accelerates the development of atherosclerosis through the LEENE/FoxO1/ABCA1 pathway.

Macrophage lipid accumulation is a critical contributor to foam cell formation and atherosclerosis. Tumor necrosis factor-α-induced protein 1 (TNFAIP1) is closely associated with cardiovascular disease. However, its role and molecular mechanisms in atherogenesis remain unclear. TNFAIP1 was knocked down in THP-1 macrophage-derived foam cells and apolipoprotein-deficient (apoE-/-) mice using lentiviral vector. The expression of lncRNA enhancing endothelial nitric oxide synthase expression (LEENE), Forkhead box O1 (FoxO1) and ATP binding cassette transporter A1 (ABCA1) was evaluated by qRT-PCR and/or western blot. Lipid accumulation in macrophage was assessed by high-performance liquid chromatography and Oil red O staining. RNA immunoprecipitation and RNA pull-down assay were performed to verify the interaction between LEENE and FoxO1 protein. Atherosclerotic lesions were analyzed using HE, Oil red O and Masson staining. Our results showed that TNFAIP1 was significantly increased in THP-1 macrophages loaded with oxidized low-density lipoprotein. Knockdown of TNFAIP1 enhanced LEENE expression, promoted the direct interaction of LEENE with FoxO1 protein, stimulated FoxO1 protein degradation through the proteasome pathway, induced ABCA1 transcription, and finally suppressed lipid accumulation in THP-1 macrophage-derived foam cells. TNFAIP1 knockdown also up-regulated ABCA1 expression, improved plasma lipid profiles, enhanced the efficiency of reverse cholesterol transport and attenuated lesion area in apoE-/- mice. Taken together, these results provide the first direct evidence that TNFAIP1 aggravates atherosclerosis by promoting macrophage lipid accumulation via the LEENE/FoxO1/ABCA1 signaling pathway. TNFAIP1 may represent a promising therapeutic target for atherosclerotic cardiovascular disease.

Prognostic significance of non-coding RNAs related to the tumorigenic epithelial-mesenchymal transition (EMT) process among ovarian cancer patients: A systematic review and meta-analysis

IntroductionOvarian cancer is the seventh most prevalent cancer among women. It has high mortality and morbidity and imposes a great burden on healthcare systems worldwide. Unraveling the mechanisms behind the Epithelial-Mesenchymal Transition and finding a panel for predicting the prognosis of the disease may help find the appropriate treatment approaches for the management of the disease. The overarching aim of this systematic review was to define a panel of different types of EMT-associated non-coding RNAs (ncRNAs) with significant prognostic value in all types of ovarian cancers. MethodsWe searched PubMed, Web of Science, Scopus, and Embase till Jun 2024 to retrieve relevant papers. Two independent reviewers screened papers, and discrepancies were resolved by consensus. Publications related to the dysregulation of different types of ncRNAs, including microRNAs, lncRNAs, and circRNAs, only in patients with ovarian cancer were included. The participation of ncRNAs in epithelial-mesenchymal transformation should be assessed via methods evaluating different EMT-related proteins. To assess the quality and risk of bias for the included case-control and cohort studies, refined Newcastle-Ottawa Scale (NOS) and Quadas-2 were recruited. A bivariate meta-analysis was performed to analyze extracted data. ResultsA total of 37 studies with overall 42 non-coding RNAs (15 microRNA, 24 long non-coding RNAs, and 3 circular RNAs) were entered into the analysis. Overall diagnostic odds ratio for ncRNAs in lymph node metastasis, distant metastasis, TNM stage, and clinical stage were 4.19, 3.80, 6.52, and 3.97, respectively. Also, a hazard ratio of 1.39 (P = 0.32) for overall survival was observed. Bioinformatic analyses on the Pan-cancer database demonstrated a significant correlation between low expression of miRNA and high expression of lncRNAs with poor prognosis of ovarian cancer. ConclusionBased on the results, the defined panel of ncRNAs can properly predict prognostic factors related to EMT in ovarian cancer without involving potentially invasive methods.

Building endoplasmic reticulum stress-related LncRNAs signatures of lung adenocarcinoma.

Endoplasmic reticulum stress (ERS) could be a strategy for treating malignant tumors. Moreover, long noncoding RNAs (lncRNAs) can promote tumorigenesis and progression, and forecast the prognosis of cancers. Nevertheless, the prognostic value of ERS-related lncRNAs has not been reported in lung adenocarcinoma (LUAD). The messenger RNA (mRNA), microRNA (miRNA) and lncRNA expression data related to LUAD were obtained in public databases (TCGA and GEO databases). Prognostic ERS-related differentially expressed lncRNAs (ERS-DELs) were obtained and used to build an ERS-related model by Cox regression analysis. Moreover, we further screened independent prognostic elements and built a nomogram. Furthermore, enrichment analysis of genes was conducted to investigate the functions. A lncRNA-miRNA-mRNA network was built to explore mechanism of lncRNAs. Finally, qRT-PCR was utilized to examine the expression levels of lncRNAs. 30 ERS-DELs were identified, and an ERS-related signature was built based on AF131215.2, LINC00472, LINC01352, RP1-78O14.1, RP11-253E3.3, RP11-98D18.9, and SNHG12. Gene set enrichment analysis indicated that genes in the high-risk group were chiefly focused on the regulation of mRNA binding, and genes in the low-risk group were significantly focused on protein localization to cilia. A lncRNA-miRNA-mRNA network, containing 7 signature lncRNAs, 23 miRNAs, and 128 mRNAs, was also established. Eventually, quantitative real-time polymerase chain reaction was used to confirm that seven prognostic lncRNAs had a consistent expression with the analysis. An ERS-related signature containing seven prognostic lncRNAs was built, which offered new thinking concerning the role of ERS-related lncRNAs in LUAD.

Bioinformatics analysis and identification of cuproptosis-related long non-coding RNAs in colorectal cancer.

Identifying precise biomarkers for colorectal cancer (CRC) detection and management remains challenging. Here, we developed an innovative prognostic model for CRC using cuproptosis-related long non-coding RNAs (lncRNAs). In this retrospective study, CRC patient transcriptomic and clinical data were sourced from The Cancer Genome Atlas database. Cuproptosis-related lncRNAs were identified and used to develop a prognostic model, which helped categorize patients into high- and low-risk groups. The model was validated through survival analysis, risk curves, independent prognostic analysis, receiver operating characteristic curve analysis, decision curves, and nomograms. In addition, we performed various immune-related analyses. LncRNA expression levels were examined in normal human colorectal epithelial cells (FHC) and CRC cells (HCT-116) using quantitative polymerase chain reaction (qPCR). Six cuproptosis-related lncRNAs were identified: ZKSCAN2-DT, AL161729.4, AC016394.1, AC007128.2, AL137782.1, and AC099850.3. The prognostic model distinguished between high-/low-risk populations, demonstrating excellent predictive ability for survival outcomes. Immunocorrelation analysis showed significant differences in immune cell infiltration and functions, immune checkpoint expression, and m6A methylation-related genes. The qPCR results showed significant upregulation of ZKSCAN2-DT, AL161729.4, AC016394.1, AC007128.2 in HCT-116 cells, while AL137782.1 and AC099850.3 expression patterns were significantly downregulated. Cuproptosis-related lncRNAs can potentially serve as reliable diagnostic and prognostic biomarkers for CRC.

Complement C3d enables protective immunity capable of distinguishing spontaneously transformed from non-transformed cells.

We show that intracellular soluble fragment 3d of complement (C3d) induces regression of spontaneous multiple myeloma in mice reducing tumor burden by 10 fold, after 8 weeks. C3d enables cell-mediated immunity to target multiple myeloma clones sparing non-transformed polyclonal B cells and plasma cells with lower mutation loads. We show that C3d increases the expression of ribosomal subunits associated with the translation of defective ribosomal products (DRiPs). C3d also decreases expression of protein arginine methyl transferase (PRMT) 5 which in turn relieves E2f1 repression increasing the expression of Lnc RNAs and derived peptides that evoke anti-tumor cellular immunity. The approach increases MHC-I expression by tumor cells and generates a CMI response that overcomes tumor immune-evasion strategies. Tumors are immunogenic in part because of somatic mutations that originate novel peptides that once presented on MHC engage cell-mediated immunity (CMI). However, in spite of the higher mutation load most tumors evade immunity. We discovered that a component of the complement system (C3d) overcomes tumor immune evasion by augmenting expression of ribosomal proteins and lncRNAs linked to the presentation of novel peptides by tumor cells. C3d induced CMI targets cancer cells sparing non transformed cells uncovering a novel function for complement in immune surveillance.

Nanoparticles (NPs)-mediated lncMALAT1 silencing to reverse cisplatin resistance for effective hepatocellular carcinoma therapy.

Platinum-based chemotherapy has been widely used for clinical cancer treatment, but drug resistance is the main barrier to induce the poor prognosis of cancer patients. Long non-coding RNAs (lncRNAs) have been recognized as a type of new cancer therapeutic targets due to their important role in regulating cancer progression such as drug resistance. However, it is still challenged to effectively intervene the expression of lncRNAs as they are usually located at various subcellular organelles (e.g., nucleus, mitochondrion, and endoplasmic reticulum). We herein developed an endosomal pH-responsive nanoparticle (NP) platform for small interfering RNA (siRNA) and cisplatin prodrug co-delivery and effective cisplatin-resistant hepatocellular carcinoma (HCC) therapy. This co-delivery nanoplatform is comprised of a hydrophilic polyethylene glycol (PEG) shell and a hydrophobic poly (2-(diisopropylamino)ethyl methacrylate) (PDPA) core, in which cisplatin prodrug and electrostatic complexes of nucleus-targeting amphiphilic peptide (NTPA) and siRNA are encapsulated. After intravenous injection and then uptake by tumor cells, the endosomal pH could trigger the dissociation of nanoplatform and enhance the endosomal escape of loaded cisplatin prodrug and NTPA/siRNA complexes via the "proton sponge" effect. Subsequently, the NTPA/siRNA complexes could specifically transport siRNA into the nucleus and efficiently reverse cisplatin resistance via silencing the expression of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (lncMALAT1) mainly localized in the nucleus, ultimately inhibiting the growth of cisplatin-resistant HCC tumor.

Unveiling the Therapeutic Potential of hUCMSC-Derived EVs in Intervertebral Disc Degeneration through MALAT1/miR-138-5p/SLC7A11 Coexpression Regulation.

Intervertebral disc degeneration (IVDD) is a prevalent chronic condition causing spinal pain and functional impairment. This study investigates the role of extracellular vesicles (EVs) derived from human umbilical cord mesenchymal stem cells (hUCMSCs) in regulating IVDD. Using RNA-seq, we analyzed differential expressions of lncRNA and miRNA in nucleus pulposus tissues from various mouse groups. We identified key regulatory molecules, MALAT1 and miRNA-138-5p, which contribute to IVDD. Further experiments demonstrated that MALAT1 can up-regulate SLC7A11 expression by competitively binding to miR-138-5p, forming a MALAT1/miR-138-5p/SLC7A11 coexpression regulatory network. This study elucidates the molecular mechanism by which hUCMSC-derived EVs regulate IVDD and could help develop novel therapeutic strategies for treating this condition. Our findings demonstrate that hUCMSCs-EVs inhibit ferroptosis in nucleus pulposus cells, thereby improving IVDD. These results highlight the therapeutic potential of hUCMSCs-EVs in ameliorating the development of IVDD, offering significant scientific and clinical implications for new treatments.