Molecular profiling and prognostic biomarkers in chinese non-small cell lung cancer cohort

Overexpression of PIK3CG in Cancer Cells Promotes Lung Cancer Cell Migration and Metastasis Through Enhanced MMPs Expression and Neutrophil Recruitment and Activation

Metastasis is a major cause of death in lung cancer. The aim of this study is to analyze the role and mechanism of PI3K catalytic subunit gamma (PIK3CG, also known as p110γ) in lung cancer cell migration and metastasis. Knockdown (KD) and overexpression (OE) of PIK3CG expression in lung cancer cell lines A549 and H1299 in vitro cultured was achieved. Two PIK3CG-specific inhibitors, Eganelisib and CAY10505, were used to treat A549 and H1299 cells. An experimental lung metastasis mouse model was constructed using tail vein injection of LLC cells. Finally, a co-culture system was established using Transwell chambers. Compared with the NC group, the number of cells that completed migration and the expression levels of matrix metalloproteinases (MMPs) were significantly reduced in the KD group and Eganelisib and CAY10505 treatment groups, while the number of cells that migrated successfully and the expression levels of MMPs were significantly increased in the OE group. Lung tissues of mice injected with PIK3CG-stabilized overexpressed LLC cells showed more pronounced lung cancer growth, lung metastatic nodules, neutrophil infiltration and MMPs expression. Co-culture with neutrophils, soluble extracts of neutrophils and cathepsin G all promoted the migration of lung cancer cells. PIK3CG overexpression in tumor cells significantly promoted the migration and metastasis of lung cancer cell.

The causal effects of 2,821 protein level ratios on non-small cell lung cancer: a two-sample Mendelian randomization study

Background

Non-small cell lung cancer (NSCLC) has a complex etiology, making early diagnosis difficult and leading to high mortality rates, thus necessitating personalized treatment strategies. While protein level ratios have shown potential as biomarkers or therapeutic targets, their causal relationship with NSCLC remains unclear. This study aimed to investigate these causal links using Mendelian randomization (MR), providing insights into potential biomarkers and therapeutic avenues.

Methods

We executed an intricate two-sample MR study to explore the stochastic causal links between 2,821 protein level ratios and NSCLC. The genome-wide association study (GWAS) statistics for NSCLC and protein level ratios were sourced from the Finnish Database (version 10) and the UK Biobank, respectively. For the instrumental variables (IVs) related to protein level ratios, we selected IVs with a P value <1.0×10-5. Throughout this analysis, we applied five established MR techniques.

Results

Our study identified causal relationships between 142 protein level ratios and NSCLC. Notably, the AKR1B1/SUGT1 protein level ratio and the PLPBP/STIP1 protein level ratio demonstrated the most significant negative correlations with NSCLC risk. On the other hand, the ARHGEF12/IRAK4 protein level ratio and the BANK1/LBR protein level ratio exhibited the most significant positive correlations. Furthermore, sensitivity analyses did not reveal any significant heterogeneity or horizontal pleiotropy.

Conclusions

Studying specific protein level ratios in patients can reveal the molecular mechanisms and pathological processes of NSCLC, which has certain clinical significance for early diagnosis of NSCLC, understanding drug resistance mechanisms and developing personalized treatment strategies. However, these findings necessitate further validation through extensive clinical research.

Prognostic determinants and functional role of PIK3C2G in stage IIb-IIIa lung adenocarcinoma: insights from clinical and molecular analyses

Background

To investigate the prognostic factors for stage IIb and IIIa lung adenocarcinoma following radical surgery and to explore the molecular mechanisms underlying these prognostic markers, focusing on the role of PIK3C2G.

Methods

A retrospective analysis of patients with stage IIb or IIIa lung adenocarcinoma who underwent radical surgery between January 2017 and June 2023 was conducted. Baseline clinical and pathological data, surgical methods, and postoperative treatments were analyzed to assess overall survival (OS). Univariate and multivariate Cox regression analyses were conducted to identify prognostic factors. Whole-exome sequencing (WES) was performed on a subset of the patients with preserved tumor tissues and no matched targeted therapies to identify high-frequency mutated genes. Functional experiments in A549 lung adenocarcinoma cells were performed to evaluate the role of the significant genes in tumor progression through cell proliferation, migration, invasion, apoptosis, and cell cycle assays.

Results

The survival analysis of 877 stage IIb and IIIa lung adenocarcinoma cases revealed significant differences in clinical characteristics and outcomes. Stage IIb patients had a median OS of 58 months compared to 37 months for stage IIIa, with 5-year OS rates of 46.9% and 30.5%, respectively. Univariate and multivariate Cox regression identified pathological stage, number of positive lymph nodes, age, and targeted therapy as independent prognostic factors. WES of 184 patients with no matched targeted therapies revealed high-frequency mutations in genes such as TP53 and PIK3C2G, with the latter emerging as the most significant prognostic marker. Functional assays demonstrated that the knockdown of PIK3C2G in A549 cells significantly reduced proliferation, migration and invasion while promoting apoptosis and disrupting cell cycle progression.

Conclusion

PIK3C2G was identified as a significant prognostic marker in stage IIb and IIIa lung adenocarcinoma, with functional data supporting its therapeutic potential. Taken together, this study integrates clinical and molecular findings, which could be used as a reference to guide personalized treatment strategies.

Imaging and Liquid Biopsy for Distinguishing True Progression From Pseudoprogression in Gliomas, Current Advances and Challenges

RATIONALE AND OBJECTIVES

Gliomas are aggressive brain tumors with a poor prognosis. Assessing treatment response is challenging because magnetic resonance imaging (MRI) may not distinguish true progression (TP) from pseudoprogression (PsP). This review aims to discuss imaging techniques and liquid biopsies used to distinguish TP from PsP.

MATERIALS AND METHODS

This review synthesizes existing literature to examine advances in imaging techniques, such as magnetic resonance diffusion imaging (MRDI), perfusion-weighted imaging (PWI) MRI, and liquid biopsies, for identifying TP or PsP through tumor markers and tissue characteristics.

RESULTS

Advanced imaging techniques, including MRDI and PWI MRI, have proven effective in delineating tumor tissue properties, offering valuable insights into glioma behavior. Similarly, liquid biopsy has emerged as a potent tool for identifying tumor-derived markers in biofluids, offering a non-invasive glimpse into tumor evolution. Despite their promise, these methodologies grapple with significant challenges. Their sensitivity remains inconsistent, complicating the accurate differentiation between TP and PSP. Furthermore, the absence of standardized protocols across platforms impedes the reliability of comparisons, while inherent biological variability adds complexity to data interpretation.

CONCLUSION

Their potential applications have been highlighted, but gaps remain before routine clinical use. Further research is needed to develop and validate these promising methods for distinguishing TP from PsP in gliomas.

Genetic mutation profiling reveals biomarkers for targeted therapy efficacy and prognosis in non-small cell lung cancer

Introduction

The genetic heterogeneity of non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutations may affect clinical responses and outcomes to EGFR tyrosine kinase inhibitors (EGFR-TKIs). This study aims to investigate the genomic factors that influence the efficacy and clinical outcomes of first-line, second-line and third-line treatments in NSCLC and explore the heterogeneity of resistance mechanisms.

Materials and methods

This real-world study comprised 65 patients with EGFR mutant NSCLC. Molecular alterations were detected using a customized DNA panel before and after administering targeted therapy. The efficacy and prognosis of each treatment line were evaluated.

Results

In first-generation EGFR-TKIs treatment, gefitinib showed favorable efficacy compared to icotinib and erlotinib, particularly in patients with EGFR L858R mutations. The resistance mechanisms to first-generation EGFR-TKIs varied among different EGFR mutation cohorts and different first-generation EGFR-TKIs. In second-line EGFR-TKIs treatment, EPH receptor A3 (EPHA3), IKAROS family zinc finger 1 (IKZF1), p21 (RAC1) activated kinase 5 (PAK5), DNA polymerase epsilon, catalytic subunit (POLE), RAD21 cohesin complex component (RAD21) and RNA binding motif protein 10 (RBM10) mutations were markedly associated with poorer progression-free survival (PFS). Notably, EPHA3, IKZF1 and RBM10 were identified as independent predictors of PFS. The mechanisms of osimertinib resistance exhibited heterogeneity, with a higher proportion of non-EGFR-dependent resistant mutations. In third-line treatments, the combination of osimertinib and anlotinib demonstrated superior efficacy compared to other regimens. Glutamate ionotropic receptor NMDA type subunit 2A (GRIN2A) mutation was an independent risk indicator of shorter OS following third-line treatments.

Conclusions

Comprehending the tumor evolution in NSCLC is advantageous for assessing the efficacy and prognosis at each stage of treatment, providing valuable insights to guide personalized treatment decisions for patients.

Molecular analysis of genetic mutations in non-small cell lung cancer in Morocco

Non-small cell lung cancer (NSCLC) is a significant global health issue with diverse molecular profiles affecting treatment responses. Yet, NSCLC's molecular epidemiology in Morocco is largely unexplored. This study focuses on NSCLC genetic mutations, specifically in adenocarcinoma, among Moroccan patients to contribute to understanding NSCLC in this population. Ninety-four patients diagnosed with lung adenocarcinoma were analyzed. Formalin-fixed paraffin-embedded tissue samples were processed, and deoxyribonucleic acid (DNA)/ribonucleic acid (RNA) was extracted using standardized protocols. Mutations were detected using the AmoyDx Pan Lung Cancer Polymerase Chain Reaction (PCR) Panel kit, and their frequencies were assessed through statistical analysis. Epidermal Growth Factor Receptor (EGFR) mutations were detected in 22.34% of patients, predominantly exon 19 deletions (66.66%) and exon 21 L858R mutations (23.80%). Anaplastic lymphoma kinase (ALK) gene fusion was observed in 3.19% of patients, and KRAS mutations in 1.06%. No mutations were found in other tested genes. A slightly higher mutation rate was noted in females (54.16%) compared to males (45.84%). The study reveals a distinct mutation profile in Moroccan NSCLC patients, with a notable prevalence of EGFR mutations, albeit lower than in some Asian populations. The significance of EGFR mutations in treatment response aligns with global findings, highlighting the importance of understanding regional molecular variations for personalized therapy. Despite limitations in sample size and clinical data, this study sheds light on the genetic landscape of NSCLC in Morocco. The observed mutation rates, particularly in EGFR, underscore the potential for targeted therapies in Moroccan NSCLC patients, emphasizing the need for further research to refine treatment strategies tailored to this population.

Prognostic significance of LINC01132 in lung cancer and its regulatory role in tumor progression

BACKGROUND

The application of long non-coding RNAs (lncRNAs) in cancer has been the focus of research in recent years. This study aimed to discuss the expression and functional mechanism of lncRNA LINC01132 (LINC01132) in lung cancer and explore its prognostic significance in tumors.

METHODS

The expression of LINC01132 in lung cancer patients was verified using GSE98929 screening and real-time quantitative polymerase chain reaction (RT-qPCR) detection. The prognostic potential of LINC01132 was evaluated by performing the chi-square analysis of clinical indicators, Kaplan-Meier analysis, and Cox proportional hazard model. Cell Counting Kit-8 (CCK-8), flow cytometry, and Transwell assay were used to characterize the biological functions of the lung cancer cells. The targeting relationship between LINC01132 and microRNA-125a-3p (miR-125a-3p), miR-125a-3p and SMAD2 was predicted by bioinformatics and verified by luciferase activity assay.

RESULTS

LINC01132 was upregulated in lung cancer tissues and cells, which was an independent risk factor for survival and prognostic outcomes of lung cancer patients. Silencing LINC01132 suppressed the proliferation and migration of lung cancer cells and accelerated cell death. The target of LINC01132 was miR-125a-3p, and miR-125a-3p inhibitor could eliminate the inhibitory effect of LINC01132 knockdown on the cells. Additionally, SMAD2 is a downstream target of miR-125a-3p, and knockdown of SMAD2 reversed the effects of miR-125a-3p inhibitor on cell migration and invasion.

CONCLUSION

LINC01132 may regulate the progression of lung cancer by targeting the miR-125a-3p /SMAD2 axis and serve as a prognostic biomarker for lung cancer.