Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: At present, studies on MircoRNA-22-3p (miR-22-3p) in lung adenocarcinoma use a single method, lack multi-center validation and multi-method validation, and there is no big data concept to predict and validate target genes.

Objective: To investigate the expression, potential targets and clinicopathological significance of miR-22-3p in lung adenocarcinoma (LUAD) tissues.

Methods: LUAD formalin-fixed paraffin-embedded (FFPE) tumors and adjacent normal lung tissues were collected for real-time quantitative polymerase chain reaction (RT-qPCR). Collect miR-22-3p in LUAD and non-cancer lung tissue from high-throughput datasets, standardized mean difference (SMD) and area under the curve (AUC) of the comprehensive receiver operating curve (summary receiver operating characteristic cure, sROC curve) were calculated. Cell function experiments on A549 cells transfected with LV-hsa-miR-22-3p. Target genes were predicted by the miRwalk2.0 website and the resulting target genes were subjected to Gene Ontology (GO) pathway enrichment analysis and constructed to protein-protein interaction network. Finally, the protein expression level of the key gene TP53 was validated by searching The Human Protein Atlas (THPA) database to incorporate TP53 immunohistochemical results in LUAD.

Results: RT-qPCR result from 41 pairs of LUAD and adjacent lung tissues showed that miR-22-3p was downregulated in LUAD (AUC = 0.6597, p= 0.0128). Globally, a total of 838 LUADs and 494 non-cancerous lung tissues were included, and were finally combined into 14 platforms. Compared with noncancerous tissue, miR-22-3p expression level was significantly reduced in LUAD tissue (SMD =-0.32, AUC = 0.72l); cell function experiments showed that miR-22-3p has inhibitory effects on cell proliferation, migration and invasion, and has promotion effect on apoptosis. Moreover, target genes prediction, GO pathway enrichment analysis and PPI network exhibited TP53 as a key gene of target gene of miR-22-3p; at last, a total of 114 high-throughput datasets were included, including 3897 LUADs and 2993 non-cancerous lung tissues, and were finally combined into 37 platforms. Compared with noncancerous tissue, TP53 expression level was significantly increased in LUAD (SMD = 0.39, p< 0.01) and it was verified by the protein expression data from THPA.

Conclusion: Overexpression of miR-22-3p may inhibit LUAD cell proliferation, migration and invasion through TP53, and promote cell apoptosis.

Download full-text PDF

Source
http://dx.doi.org/10.3233/THC-220494DOI Listing

Publication Analysis

Top Keywords

lung tissues
16
lung adenocarcinoma
12
target genes
12
expression level
12
lung
8
mir-22-3p
8
mir-22-3p lung
8
luad
8
high-throughput datasets
8
receiver operating
8

Similar Publications

Background: A secondary Pasteurella multocida (Pm) infection following Mycoplasma ovipneumoniae (Mo) challenge in sheep results in severe respiratory disease. Scavenger receptor A (SRA) is a key phagocytic receptor on macrophages, which facilitates microbial clearance. However, the role of sheep SRA in Mo-associated secondary Pm infection is less understood.

View Article and Find Full Text PDF

Objectives: To investigate the antitumor effects of aucubin (AC) in non-small cell lung cancer (NSCLC) and uncover its plausible mechanism against lung cancer stem-like cells (LCSCs).

Methods: In vitro experiments included MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, a reagent commonly used for cell viability assay) and colony formation assays to assess anti-proliferative effects on A549 and NCI-H1975 lung cancer cell lines, wound healing and Transwell invasion assays to evaluate inhibition of cell migration and invasion, tumorsphere-formation experiments to detect changes in NSCLC cell stemness, as well as Western blot and quantitative reverse transcription polymerase chain reaction (qRT-PCR) analyses to measure the expression of LCSC markers (CD44, CD133, Oct4, and Nanog). In vivo experiments were conducted to observe the impact of AC on NSCLC metastasis and mouse survival rates.

View Article and Find Full Text PDF

Abnormal expression of HLA class Ib, MICA and MICB molecules is associated with the evolution of pathological conditions and clinical settings. Here, we use RNA-sequencing data from two publicly-available projects, from different human organs and tissues and at single-cell level, to present their transcriptional expression throughout the human body, in comparison to that of HLA class Ia, HLA class II, their costimulatory molecules, and the main HLA transcription factors. Our analyses for 21 target genes reveal that median gene expression differs by orders of magnitude and that the classical/non-classical HLA distinction is not absolute for overall expression.

View Article and Find Full Text PDF

Given the limited diagnostic technologies and treatment options available for lung adenocarcinoma (LUAD) patients with liver metastases, it is crucial to identify potential genomic signatures associated with liver metastasis, which could significantly contribute to the development of improved diagnostic tools and treatment strategies for LUAD patients with liver metastases. In this study, we identified specific genetic alterations in tumor samples with liver metastases by targeted capture sequencing. The results showed that the significantly higher mutation frequencies of , and in LUAD patients with liver metastases and and mutations found in both tumor tissues and plasma samples from patients with liver metastases.

View Article and Find Full Text PDF

Integrative profiling of lung cancer biomarkers EGFR, ALK, KRAS, and PD-1 with emphasis on nanomaterials-assisted immunomodulation and targeted therapy.

Front Immunol

September 2025

Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.

Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.

Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.

View Article and Find Full Text PDF