Exploring the Role of Exosomal lncRNA in Cancer Immunopathogenesis: Unraveling the Immune Response and EMT Pathways

Experimental Cell Research, Год журнала: 2024, Номер 445(1), С. 114401 - 114401

Опубликована: Дек. 29, 2024

Язык: Английский

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The role of LncRNA MCM3AP-AS1 in human cancer

Clinical & Translational Oncology, Год журнала: 2022, Номер 25(1), С. 33 - 47

Опубликована: Авг. 24, 2022

Язык: Английский

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Functional roles of long noncoding RNA MALAT1 in gynecologic cancers

Clinical & Translational Oncology, Год журнала: 2022, Номер 25(1), С. 48 - 65

Опубликована: Авг. 30, 2022

Язык: Английский

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Pathological roles of miRNAs and pseudogene-derived lncRNAs in human cancers, and their comparison as prognosis/diagnosis biomarkers

Pathology - Research and Practice, Год журнала: 2023, Номер 253, С. 155014 - 155014

Опубликована: Дек. 12, 2023

Язык: Английский

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Functional Roles of lncRNAs in Recurrent Pregnancy Loss: A Review Study.

PubMed, Год журнала: 2023, Номер 17(4), С. 218 - 225

Опубликована: Авг. 7, 2023

Recurrent pregnancy loss (RPL) or recurrent miscarriage is the failure of before 20-24 weeks that influences around 2-5% couples. Several genetic, immunological, environmental and physical factors may influence RPL. Although various traditional methods have been used to treat post-implantation failures, identifying mechanisms underlying RPL improve an effective treatment. Recent evidence suggested gene expression alterations presented essential roles in occurrence It has found long non-coding RNAs (lncRNAs) play functional pathologies, such as miscarriage. lncRNAs can function dynamic scaffolds, modulate chromatin function, guide bind microRNAs (miRNAs) transcription factors. lncRNAs, by targeting miRNAs mRNAs, progression suppression Therefore, their downstream targets might be a suitable strategy for diagnosis treatment In this review, we summarized emerging several stimulation

Язык: Английский

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Emerging Role of the ceRNA-Based MALAT-1-miRNA Network in Polycystic Ovary Syndrome

Journal of Obstetrics Gynecology and Cancer Research, Год журнала: 2023, Номер 8(4), С. 308 - 314

Опубликована: Июль 7, 2023

Polycystic ovary syndrome (PCOS) is a hormonal disorder and common health problem that affects women at the early to late reproductive stage. Several genetic environmental factors such as obesity, liver diseases, imbalance of androgens, menstrual dysfunction have contributed progression PCOS. Research has shown link between diabetes, hypertension, miscarriages, cardiovascular disease with Experimental discoveries begun evaluate mechanisms involved in Although various classical interventions are used treatment PCOS, current medications not able control outcomes PCOS management this still challenging. Accumulating evidence showed dysregulation long non-coding RNAs (lncRNAs) essential pathogenesis. LncRNAs class transcripts mediate process gene expressions level transcription post-transcription. It been found lncRNA metastasis‐associated lung adenocarcinoma transcript‐1 (MALAT1 or nuclear-enriched abundant transcript 2 (NEAT2)) presents vital role regulating MALAT-1 competing endogenous RNA (ceRNA) can suppress microRNAs (miRNAs) decrease granulosa cell proliferation, apoptosis, Abnormal expression MALAT1 one prognostic for autophagy, migration, drug resistance. be potential biomarker However, exact roles cells remain largely unknown further studies required confirm its action. In present article, we summarize functions MALAT-1/miRNA axes

Язык: Английский

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Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction

Journal of Chemical Information and Modeling, Год журнала: 2024, Номер 64(16), С. 6662 - 6675

Опубликована: Авг. 7, 2024

Identifying new relevant long noncoding RNAs (lncRNAs) for various human diseases can facilitate the exploration of causes and progression these diseases. Recently, several graph inference methods have been proposed to predict disease-related lncRNAs by exploiting topological structure node attributes within graphs. However, did not prioritize target lncRNA disease nodes over auxiliary like miRNA nodes, potentially limiting their ability fully utilize features nodes. We propose a method, mask-guided feature learning dynamic detailed enhancement lncRNA-disease association prediction (MDLD), enhance improved prediction. First, we designed heterogeneous masked transformer autoencoder guide learning, focusing more on (disease) The were increasingly as training progressed, which helps develop robust model. Second, developed convolutional network with residuals (GCNDR) learn integrate topology all lncRNA, disease, GCNDR employs an interlayer residual strategy evolution mitigate oversmoothing caused multilayer convolution. estimates importance learned in previous GCN encoding layer current layer. Additionally, since there are dependencies individual (disease, miRNA) across multiple layers, gated recurrent unit-based is encode dependencies. Finally, perspective-level attention mechanism obtain informative pairs from perspectives mask-enhanced dynamic-enhanced features. Cross-validation experimental results demonstrated that MDLD outperformed 10 other state-of-the-art methods. Ablation experiments case studies candidate three further proved technical contributions its capability discover lncRNAs.

Язык: Английский

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Qiu’s Cervical Prescription inhibit the invasion and growth of cervical cancer through LncRNA ATB/miR-126 pathway

Pathology - Research and Practice, Год журнала: 2024, Номер 266, С. 155784 - 155784

Опубликована: Дек. 20, 2024

Язык: Английский

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