[Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer]. DOI
Jing Cong, Anna Wang, Yijun Wang

et al.

PubMed, Journal Year: 2024, Volume and Issue: 27(12), P. 919 - 930

Published: Dec. 20, 2024

Lung cancer represents the main cause of cancer-related deaths worldwide, and non-small cell lung (NSCLC) is most subtype. More than half NSCLC patients have already developed distant metastasis (DM) at time diagnosis a poor prognosis. Therefore, it necessary to find new biomarkers for predicting DM in order guide subsequent treatment thus improve prognosis patients. Numerous studies shown that microRNAs (miRNAs) are abnormally expressed tissues play an important role tumorigenesis progression. The aim this study identify differentially miRNAs adenocarcinoma with group compared those non-distant (NDM) group, construct miRNA signature adenocarcinoma. We first obtained clinical data from Cancer Genome Atlas (TCGA) database. Subsequently, bioinformatics analysis, which included different R packages, Kaplan-Meier receiver operating characteristic (ROC) curve, range online analysis tools, was performed analyze data. A total 12 were identified between NDM groups, 8 (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) screened constructing signature. efficacy good area under curve (AUC) 0.831. Logistic regression showed independent risk factor Next, target genes eight predicted, enrichment these enriched variety pathways, including pathways cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK Ras etc. CONCLUSIONS: This has potential be predictor

Language: Английский

IGF2BP3 Triggers STAT3 Pathway by Stabilizing SRC RNA in an m6A‐Dependent Manner to Promote Lymphatic Metastasis in LUAD DOI Creative Commons

Jiapei Ding,

Xuequan Wang, Haihua Yang

et al.

Cancer Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

ABSTRACT Lymph node metastasis significantly affects the NSCLC patients' staging, treatment strategy, and prognosis. Studies have shown that IGF2BP3, an oncofetal protein m6A reader, overexpresses correlates to lymph worse overall survival in histopathological studies including NSCLC, but its mechanism needs further study. This study explored IGF2BP3's function LUAD lymphatic using public databases, a human tissue microarray, cells, model male BALB/c nude mice. Firstly, we proved IGF2BP3 overexpression was positively correlated bioinformatics microarray analysis. knocked out or overexpressed cell lines. Functionally, facilitated NCI‐H1299, NCI‐H358, A549 growth, migration, invasion, EMT vitro, promoted tumorigenesis, lymphangiogenesis, of NCI‐H1299 cells Mechanically, RIP, RNA pull‐down assay, MeRIP, mRNA stability assays, rescue experiments, immunohistochemical assays were conducted. demonstrated bind site 3′UTR region SRC, stabilizing activating downstream STAT3 signaling pathway growth factors such as VEGF‐C, therefore affecting metastasis. The migration partially rescued by utilizing SRC siRNA AZD0530, inhibitor. promotes via m6A‐SRC‐STAT3‐VEGFC axis, indicating is potential therapeutic target overcome patients.

Language: Английский

Citations

0
CAF-derived exosome-miR-3124-5p promotes malignant biological processes in NSCLC via the TOLLIP/TLR4-MyD88-NF-κB pathway DOI
Tao Sun,

Qinghua Song,

Hua Liu

et al.

Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, Journal Year: 2024, Volume and Issue: 33(1), P. 133 - 148

Published: Sept. 13, 2024

Lung cancer is a life-threatening disease that occurs worldwide, but especially common in China. The crucial role of the tumour microenvironment (TME) non-small cell lung (NSCLC) has attracted recent attention. Cancer-associated fibroblasts (CAFs) are main factors contribute to TME function, and CAF exosomes closely linked NSCLC. expression levels miR-3124-5p Toll-interacting protein (TOLLIP) were analysed by bioinformatics prediction combined with RT-qPCR/Western Blot detection. Fibroblasts isolated identified from clinical NSCLC tissues. Transmission electron microscopy Western used identify these cells. Changes proliferation (CCK-8 clone formation), migration (wound healing), invasion (transwell) cells measured. Luciferase reporter test was applied clarify binding TOLLIP. TOLLIP/TLR4/MyD88/NF-κB pathway proteins determined using blot analysis. MiR-3124-5p overexpressed tissues dramatically enriched CAF-derived exosomes. Cellular experiments revealed CAFs delivered into via exosomes, stimulating progression. acted as sponge negatively regulate TOLLIP expression, which activated TLR4/MyD88/NF-κB axis promote occurrence development Functional salvage tests performed determine whether CAF-exosome-derived plays pro-cancer affecting signalling pathway. These results provide an interesting direction for diagnosis therapy

Language: Английский

Citations

1
Impact of Nanoparticle Properties on Immune Cell Interactions in the Lymph Node DOI Creative Commons
Muhammad Asim Farooq, Angus P. R. Johnston, Natalie L. Trevaskis

et al.

Acta Biomaterialia, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

1
[Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer]. DOI
Jing Cong, Anna Wang, Yijun Wang

et al.

PubMed, Journal Year: 2024, Volume and Issue: 27(12), P. 919 - 930

Published: Dec. 20, 2024

Lung cancer represents the main cause of cancer-related deaths worldwide, and non-small cell lung (NSCLC) is most subtype. More than half NSCLC patients have already developed distant metastasis (DM) at time diagnosis a poor prognosis. Therefore, it necessary to find new biomarkers for predicting DM in order guide subsequent treatment thus improve prognosis patients. Numerous studies shown that microRNAs (miRNAs) are abnormally expressed tissues play an important role tumorigenesis progression. The aim this study identify differentially miRNAs adenocarcinoma with group compared those non-distant (NDM) group, construct miRNA signature adenocarcinoma. We first obtained clinical data from Cancer Genome Atlas (TCGA) database. Subsequently, bioinformatics analysis, which included different R packages, Kaplan-Meier receiver operating characteristic (ROC) curve, range online analysis tools, was performed analyze data. A total 12 were identified between NDM groups, 8 (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) screened constructing signature. efficacy good area under curve (AUC) 0.831. Logistic regression showed independent risk factor Next, target genes eight predicted, enrichment these enriched variety pathways, including pathways cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK Ras etc. CONCLUSIONS: This has potential be predictor

Language: Английский

Citations

0