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Research Article

MiR-483-3p as a Prognostic Marker In Non-Small Cell Lung Cancer: Suppression of Tumor Progression via KIF3B Downregulation

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DOI:

10.3791/71006

June 5th, 2026

In This Article

Summary

Downregulation of miR-483-3p is a poor prognostic marker in NSCLC. The overexpression of miR-483-3p suppresses the malignant phenotypes of NSCLC cells, whose function was reversed by the overexpression of KIF3B.

Abstract

MicroRNAs play wide roles in non-small cell lung cancer (NSCLC). To investigate the clinical value of miR-483-3p in NSCLC and its molecular target, 350 NSCLC patients were recruited in this study. RT-qPCR results showed that tumor histological expression of miR-483-3p progressively decreased as the tumor-node metastasis (TNM) stage increased. The receiver operating characteristic (ROC) curve displayed that histological miR-483-3p level can effectively distinguish NSCLC patients with high TNM stage (III) from those with low stage (I+II) (area under the ROC curve = 0.869). The Kaplan-Meier curve showed that NSCLC patients with low miR-483-3p expression demonstrated a lower 5-year overall survival rate. After adjusting for other confounding factors, multivariate Cox analysis further identified miR-483-3p as an independent protective factor for NSCLC survival. Mechanistically, RNA pull-down assay showed that upregulation of miR-483-3p was co-precipitated with KIF3B mRNA and inhibited its expression, thereby suppressing the malignant phenotypes of NSCLC cells and inducing apoptosis. In conclusion, downregulation of miR-483-3p serves as a poor prognostic marker in NSCLC, potentially affecting cancer progression by negatively regulating KIF3B.

Introduction

Among cancer-related deaths, non-small cell lung cancer (NSCLC) is one of the leading causes. Its high mortality rate is primarily attributed to the aggressive growth of tumors, early metastasis, and the development of acquired resistance1,2,3. Despite advances in current clinical strategies, the overall prognosis for NSCLC patients remains poor4,5,6. In addition to biological challenges, NSCLC patients often experience a heavy symptom burden, including pain, dyspnea, fatigue, and ps....

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Protocol

The Ethics Committee of The Second Affiliated Hospital of Nanjing Medical University approved this study. The fundamental principles of the Declaration of Helsinki have been consistently applied throughout the entire research process. Written informed consent was obtained from all individual participants included in the study. Detailed information on all materials and reagents was provided in the Table of Materials.

Bioinformatics analysis:

The Gene Expression Omnibus database (www.ncbi.nlm.nih.gov) was applied to search the NSCLC-related datasets. GSE171517 is a....

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Results

Downregulated miR-483-3p represents a poor prognosis in NSCLC

The Venn diagram (Supplementary Figure 1) indicates that miR-483-3p appears downregulated in both serum samples of NSCLC patients and chemotherapy-resistant NSCLC cell lines. A one-way ANOVA analysis showed that the miR-483-3p expression in the tumor progressively decreased with increasing TNM stage (Figure 1A). ROC curve analysis was performed to evalu.......

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Discussion

This study systematically investigated the miR-483-3p's role in suppressing NSCLC tumors and its underlying mechanism through clinical sample analysis and molecular mechanism exploration. The objective of this study was two folds: (1) to determine whether miR-483-3p serves as an independent prognostic marker in NSCLC, and (2) to elucidate the molecular mechanism by which miR-483-3p may suppress malignant phenotypes through targeting KIF3B. Our findings suggest the clinical value of miR-483-3p as an independent progno.......

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Disclosures

The authors have nothing to disclose.

Materials

List of materials used in this article
NameCompanyCatalog NumberComments
0.1% crystal violetSolarbio/ChinaG1064
0.25% trypsin-EDTAGibco/USA25200056
4% paraformaldehydeBeyotime/ChinaP0099
7500 Fast RT-PCR systemApplied Bio-systems/USA4351106
A549Procell/ChinaCL-0016
A549-specific mediumProcell/ChinaCM-0016
Annexin V-FITC/PI staining KitBeyotime/ChinaC1062S
BEAS-2BSTEM RECELL/ChinaSTM-CL-5102
Cell Counting Kit-8 (CCK-8)Solarbio/ChinaCA1210
DMEM mediumMeilunBio/ChinaPWL003
Fetal bovine serumGibco/USAA5256701
GraphPad Prism software GraphPadVersion 7.0
H1299Procell/ChinaCL-0165
H1299-specific mediumProcell/ChinaCM-0165
H520Procell/ChinaCL-0402
H520-specific mediumProcell/ChinaCM-0402
HCC827Procell/ChinaCL-0094
HCC827-specific mediumProcell/ChinaCM-0094
KIF3B mRNAGenscript Biotech/Chinacustomized
Lipo6000 reagentBeyotime/ChinaC0526
miR-483-3p agonist/agonist-NCMedChemExpress/USAHY-R01451A 
oe-KIF3B/oe-NCRiboBio/Chinacustomized
Penicillin/streptomycinSolarbio/ChinaP1400
Pierce RNA 3’ End Desthiobiotinylation KitThermo Fisher Scientific/USA20163
PrimeScript RT Reagent Kit (Perfect Real Time)TaKaRa/JapanRR037A
si-KIF3B/si-NCRiboBio/Chinacustomized
SPSS IBMVersion 23.0
Streptavidin magnetic beadsNew England Biolabs/USAS1420S
SYBR Green Pro Taq HS PremixAccurate Biology/ChinaAG11701
Transwell chamberCorning/USA3428
TRIzol reagentInvitrogen/USA15596026CN

References

  1. Lee, J. W., et al. Characterization of chemoresistant human non-small cell lung cancer cells by metabolic and lipidomic profiling. Metabolomics. 19 (9), 80(2023).
  2. Ziolkowska-Suchanek, I., Rozwadowska, N.

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Tags

RT-qPCRRNA Pull-DownKaplan-Meier CurveCox AnalysisApoptosis Induction