Results in Chemistry, Год журнала: 2025, Номер unknown, С. 102305 - 102305
Опубликована: Апрель 1, 2025
Язык: Английский
Journal of Controlled Release, Год журнала: 2024, Номер 376, С. 149 - 166
Опубликована: Окт. 11, 2024
Язык: Английский
Процитировано
14
Nanoscale, Год журнала: 2024, Номер 16(8), С. 3881 - 3914
Опубликована: Янв. 1, 2024
The long noncoding RNAs (lncRNAs) comprise a wide range of RNA species whose length exceeds 200 nucleotides, which regulate the expression genes and cellular functions in organisms.
Язык: Английский
Процитировано
13
Frontiers in Oncology, Год журнала: 2025, Номер 14
Опубликована: Янв. 16, 2025
Multiple Myeloma (MM) is the second most common malignancy of hematopoietic system, accounting for approximately 10% all hematological malignancies, and currently, there no complete cure. Existing research indicates that exosomal long non-coding RNAs (lncRNAs) play a crucial regulatory role in initiation progression tumors, involving various interactions such as lncRNA-miRNA, lncRNA-mRNA, lncRNA-RNA binding proteins (RBP). Despite significant clinical application potential lncRNAs, this area still faces challenges due to their low abundance technical limitations. To our knowledge, review first comprehensively integrate elucidate three mechanisms action lncRNAs MM, propose therapeutic targets cases based on these mechanisms. We highlight latest advancements biomarkers targets, offering not only comprehensive analysis MM but also new perspectives methods future diagnosis treatment multiple myeloma.
Язык: Английский
Процитировано
2
Journal of Advanced Research, Год журнала: 2025, Номер unknown
Опубликована: Фев. 1, 2025
The invasion and metastasis of pancreatic cancer (PC) are key factors contributing to disease progression poor prognosis. This process is primarily driven by EMT, which has been the focus recent studies highlighting role long non-coding RNAs (lncRNAs) as crucial regulators EMT. However, mechanisms lncRNAs influence invasive multifaceted, extending beyond EMT regulation alone. review aims characterize affecting in cancer. We summarize regulatory roles across multiple molecular pathways highlight their translational potential, considering implications for clinical applications diagnostics therapeutics. focuses on three principal scientific themes. First, we orchestrate various signaling pathways, such TGF-β/Smad, Wnt/β-catenin, Notch, regulate changes associated with thereby enhancing cellular motility invasivenes. Second, effects autophagy ferroptosis discuss exosomal tumor microenvironment behavior neighboring cells promote cell invasion. Third, emphasize RNA modifications (such m6A m5C methylation) stabilizing capacity mediate PC. Lastly, potential these findings, emphasizing inherent challenges using biomarkers therapeutic targets, while proposing prospective research strategies.
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Март 22, 2025
Increased evidence reveals that glycolysis is one of the key metabolic hallmarks cancer cells. However, roles lncRNA FTX in energy metabolism and progression remain unclear. In this study we aim to show was significantly upregulated tissues serum CRC patients cell lines. Function indicated it could promote aerobic glycolysis, proliferation, migration invasion colorectal Further mechanistic studies showed, found function as a sponge for miR-215-3p, which reduced ability miR-215-3p repress YAP1 oncoprotein. Additionally, negative correlation observed between expression, knockdown or overexpression yielded opposite effects. conclusion, demonstrates directly combine with competitive endogenous RNA, thus promoting vitro vivo.
Язык: Английский
Процитировано
1
Heliyon, Год журнала: 2024, Номер 10(10), С. e30877 - e30877
Опубликована: Май 1, 2024
Disulfidptosis, an innovative type of controlled cellular death linked to metabolic dysfunction, has garnered attention. However, there is limited knowledge regarding the involvement disulfidptosisrelated lnRNAs (DRlncRNAs) in laryngeal squamous cell carcinoma (LSCC). The objective our team this study seeks establish a DRlncRNAs signature, investigate their prognostic value LSCC, and explore associations with immune subpopulations, biological signaling pathways, exploring implications for drug sensitivity. We accessed LSCC patients' RNA-seq data pertinent clinical subsequent further analysis from Cancer Genome Atlas (TCGA) portal. A literature search was conducted focusing on disulfidptosis-related genes. Pearson correlation coefficients were calculated identify DRlncRNAs. Differential expression lncRNAs performed. Utilizing univariate Cox regression analysis, we identified disulfidptosis-associated lncRNAs. LASSO-Cox employed refine set construct signature. Various statistical techniques appraise model predictive performance. Subsequently, risk groups stratified based score derived superiority prognostication over traditional clinicopathological features patients demonstrated. Evident distinctions emerged between groups, particularly subpopulations like activated mast cells, eosinophils, NK cells. Finally, low-risk group demonstrated reduced IC50 values specific chemotherapeutics cisplatin gemcitabine. vitro experiments indicated differential behavior signature can serve as robust biomarker ability predict both prognosis therapeutic responses among LSCC.
Язык: Английский
Процитировано
8
Journal of Experimental & Clinical Cancer Research, Год журнала: 2024, Номер 43(1)
Опубликована: Июль 4, 2024
Metastasis is the leading cause of mortality in patients with colorectal cancer (CRC) and angiogenesis a crucial factor tumor invasion metastasis. Long noncoding RNAs (lncRNAs) play regulatory functions various biological processes cells, however, roles lncRNAs CRC-associated remain to be elucidated CRC, as do underlying mechanisms. We used bioinformatics screen differentially expressed from TCGA database. LOC101928222 expression was assessed by qRT-PCR. The impact CRC development both vitro vivo. mechanisms were investigated cellular fractionation, RNA-sequencing, mass spectrometric, RNA pull-down, immunoprecipitation, stability, gene-specific m6A assays. upregulated correlated worse outcome. Moreover, shown promote migration, invasion, CRC. Mechanistically, synergized IGF2BP1 stabilize HMGCS2 mRNA through an m6A-dependent pathway, increased cholesterol synthesis and, ultimately, promotion development. In summary, these findings demonstrate novel, LOC101928222-based mechanism involved regulation metastatic potential LOC101928222-HMGCS2-cholesterol pathway may effective target for diagnosing managing
Язык: Английский
Процитировано
7
Nucleic Acids Research, Год журнала: 2023, Номер 52(D1), С. D98 - D106
Опубликована: Ноя. 11, 2023
Long noncoding RNAs (lncRNAs) have emerged as crucial regulators across diverse biological processes and diseases. While high-throughput sequencing has enabled lncRNA discovery, functional characterization remains limited. The EVLncRNAs database is the first exclusive repository for all experimentally validated lncRNAs from various species. After previous releases in 2018 2021, this update marks a major expansion through exhaustive manual curation of nearly 25 000 publications 15 May 2020, to 2023. It incorporates substantial growth categories: 154% increase lncRNAs, 160% associated diseases, 186% lncRNA-disease associations, 235% interactions, 138% structures, 234% circular RNAs, resistant 4724% exosomal lncRNAs. More importantly, it incorporated additional information include classifications, detailed interaction pathways, homologous locations, COVID-19, phase-separation organoid-related web interface was substantially improved browsing, visualization, searching. ChatGPT tested extraction overview with its limitation noted. 3.0 represents most extensive curated resource will serve an indispensable platform unravelling emerging functions. updated freely available at https://www.sdklab-biophysics-dzu.net/EVLncRNAs3/.
Язык: Английский
Процитировано
12
MedComm, Год журнала: 2024, Номер 5(12)
Опубликована: Дек. 1, 2024
Abstract Breast cancer is the leading among women, with a significant number experiencing recurrence and metastasis, thereby reducing survival rates. This study focuses on role of long noncoding RNAs (lncRNAs) in breast immunotherapy response. We conducted an analysis involving 1027 patients from Sun Yat‐sen Memorial Hospital, University, The Cancer Genome Atlas, utilizing RNA sequencing pathology whole‐slide images. employed unsupervised clustering to identify distinct lncRNA expression patterns developed AI‐based model using convolutional neural networks predict immune–metabolic subtypes. Additionally, we created multimodal integrating data, immune‐cell scores, clinical information, images for prognostic prediction. Our findings revealed four unique subtypes, AI demonstrated high predictive accuracy, highlighting impact lncRNAs antitumor immunity metabolic states within tumor microenvironment. model, DeepClinMed‐IM, exhibited accuracy predicting these DeepClinMed‐PGM, images, showed superior performance. In conclusion, models provide robust foundation precise prognostication identification potential candidates immunotherapy, advancing research treatment strategies.
Язык: Английский
Процитировано
4
Scientific Data, Год журнала: 2025, Номер 12(1)
Опубликована: Май 23, 2025
Язык: Английский
Процитировано
0