Systematic Review and Meta-analysis of TP53, HER2/ERBB2, KRAS, APC, and PIK3CA Genes Expression Pattern in Gastric Cancer

The association between physical activity and risk of gastric cancer; an umbrella review

INTRODUCTION

Gastric cancer (GC), as a highly lethal malignancy, is the fourth most common malignancy and the second leading cause of cancer-related death worldwide. This study is an umbrella review of systematic reviews and meta-analyses to present an overview of the extent and reliability of the claimed association between physical activity and the likelihood of developing or dying from GC.

METHOD

This study was conducted following the Joanna Brigs Institute (JBI)'s methods for conducting umbrella reviews. A systematic search was performed in PubMed, Scopus, Web of Science, and ProQuest databases until July, 2024 with predefined keywords. Two independent authors assessed the Risk of Bias in included studies using the JBI critical appraisal tool for the assessment of the quality of systematic reviews and disagreements between the authors were resolved through discussion or the opinion of another author.

RESULT

Five systematic reviews were included in this analysis, offering a more comprehensive understanding of the inverse relationship between physical activity and gastric cancer risk. Compared to previous studies, this review provides stronger evidence that moderate-to-high levels of physical activity significantly reduce the overall risk of developing gastric cancer.

CONCLUSION

While a link between physical activity and reduced cancer risk is promising, further research is crucial to unravel the specific mechanisms at play and to quantify the impact of increased activity levels on cancer prevention. Based on the findings of this study, physical activity is found to be associated with a decreased risk of GC; however, the limitation of the evidence suggested a need for future studies on this topic.

Polymorphism of apoptosis marker genes in the blood of indigenous people with gastric cancer in the Republic of Tyva

Introduction. Russia is among the leaders in incidence and mortality from gastric cancer (GC). The incidence of gastric cancer in the Republic of Tyva is especially abnormally high. Currently, there is interest in studying genetic factors in various types of cancer. But for GC, such research is not enough.

Aim. To study the polymorphism of the apoptosis marker genes CASP9 (rs1052576), TP53 (rs1042522), FAS/APO-1 (rs2234767) in the blood of indigenous people with GC in the Republic of Tyva.

Materials and methods. 107 Tuvinians were examined (47 people with GC and 60 persons in the control group). The diagnosis of GC was established on the basis of a comprehensive laboratory, instrumental and morphological examination by oncologists at the Republican Oncology Dispensary. Genotyping of polymorphisms rs1052576 CASP9, rs2234767 FAS/APO-1 and rs1042522 TP53 was carried out in all 47 patients with GC and in 60 people in the control group using the polymerase chain reaction method from DNA samples isolated from venous blood.

Results. In patients with GC, compared with healthy individuals, the mutant allele G (44.7% versus 27.5%; p = 0.01) and the homozygous genotype GG (23.4% versus 6.7%; p = 0.03) of polymorphism rs1042522 TP53, as well as mutant allele A (57.4% versus 32.5%; p < 0.001) and homozygous genotype AA (31.9% versus 15.0%; p = 0.05) of polymorphism rs2234767 FAS/ APO-1 were more often registered among indigenous inhabitants of the Republic of Tyva. The frequency of various genotypes and alleles of the polymorphism rs1052576 CASP9 did not differ significantly between patients with GC and healthy individuals.

Conclusion. Based on these results, it can be assumed that the A allele of rs2234767 FAS/APO-1 and the disruption of the anti-oncogenic function of the p53 protein produced by the G allele of rs1042522 TP53 are associated with GC and can be used as markers to determine increased risk in the population of indigenous residents of the Republic of Tyva.

Gastric cancer with brain metastasis: from molecular characteristics and treatment

Gastric cancer is one of the cancers with increasing incidence and ranks fourth globally among the most frequent causes of cancer-related mortality. Early gastric cancer is often asymptomatic or presents with atypical symptoms, and the majority of patients present with advanced disease upon diagnosis. Brain metastases are present in approximately 1% of gastric cancer patients at the time of diagnosis, which significantly contributed to the overall mortality of the disease worldwide. Conventional therapies for patients with brain metastases remain limited and the median overall survival of patients is only 8 months in advanced cases. Recent studies have improved our understanding of the molecular mechanisms underlying gastric cancer brain metastases, and immunotherapy has become an important treatment option in combination with radiotherapy, chemotherapy, targeted therapy and surgery. This review aims to provide insight into the cellular processes involved in gastric cancer brain metastases, discuss diagnostic approaches, evaluate the integration of immune checkpoint inhibitors into treatment and prognosis, and explore the predictive value of biomarkers in immunotherapy.

Network pharmacology, molecular docking, and molecular dynamics simulation analysis reveal the molecular mechanism of halociline against gastric cancer

Halociline, a derivative of alkaloids, was isolated from the marine fungus Penicillium griseofulvum by our group. This remarkable compound exhibits promising antineoplastic activity, yet the precise molecular mechanisms underlying its anticancer properties remain enigmatic. To unravel these mechanisms, we employed an integrated approach of network pharmacology analysis, molecular docking simulations, and molecular dynamics simulations to explore halociline therapeutic targets for gastric cancer. The data from network pharmacology indicate that halociline targets MAPK1, MMP-9, and PIK3CA in gastric cancer cells, potentially mediated by diverse pathways including cancer, lipid metabolism, atherosclerosis, and EGFR tyrosine kinase inhibitor resistance. Notably, molecular docking and dynamics simulations revealed a high affinity between halociline and these targets, with free binding energies (ΔEtotal) of - 20.28, - 27.94, and - 25.97 kcal/mol for MAPK1, MMP-9, and PIK3CA, respectively. This study offers valuable insights into the potential molecular mechanism of halociline's inhibition of gastric cancer cells and serves as a valuable reference for future basic research efforts.

Comprehensive Multiomics Analyses Establish the Optimal Prognostic Model for Resectable Gastric Cancer : Prognosis Prediction for Resectable GC

BACKGROUND

Prognostic models based on multiomics data may provide better predictive capability than those established at the single-omics level. Here we aimed to establish a prognostic model for resectable gastric cancer (GC) with multiomics information involving mutational, copy number, transcriptional, methylation, and clinicopathological alterations.

PATIENTS AND METHODS

The mutational, copy number, transcriptional, methylation data of 268, 265, 226, and 252 patients with stages I-III GC were downloaded from the TCGA database, respectively. Alterations from all omics were characterized, and prognostic models were established at the individual omics level and optimized at the multiomics level. All models were validated with a cohort of 99 patients with stages I-III GC.

RESULTS

TTN, TP53, and MUC16 were among the genes with the highest mutational frequency, while UBR5, ZFHX4, PREX2, and ARID1A exhibited the most prominent copy number variations (CNVs). Upregulated COL10A1, CST1, and HOXC10 and downregulated GAST represented the biggest transcriptional alterations. Aberrant methylation of some well-known genes was revealed, including CLDN18, NDRG4, and SDC2. Many alterations were found to predict the patient prognosis by univariate analysis, while four mutant genes, two CNVs, five transcriptionally altered genes, and seven aberrantly methylated genes were identified as independent risk factors in multivariate analysis. Prognostic models at the single-omics level were established with these alterations, and optimized combination of selected alterations with clinicopathological factors was used to establish a final multiomics model. All single-omics models and the final multiomics model were validated by an independent cohort. The optimal area under the curve (AUC) was 0.73, 0.71, 0.71, and 0.85 for mutational, CNV, transcriptional, and methylation models, respectively. The final multiomics model significantly increased the AUC to 0.92 (P < 0.05).

CONCLUSIONS

Multiomics model exhibited significantly better capability in predicting the prognosis of resectable GC than single-omics models.

HER2 in Gastric Cancer: A Comprehensive Analysis Combining Meta-Analysis and DCE-MRI Radiomics

OBJECTIVE

Advanced gastric cancer (AGC) is a severe malignant tumor, and overexpression of HER2/ERBB2 may play a crucial role in its development. The purpose of this study is to investigate the overexpression of HER2/ERBB2 in gastric cancer through a meta-analysis and examine its relationship with perfusion parameters using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technology.

METHODS

We conducted an extensive literature search and collected relevant studies for the meta-analysis. We used a random-effects model and assigned weights using the "inverse variance" method. Additionally, we included 95 AGC patients diagnosed pathologically between April 2018 and October 2021. They all underwent DCE-MRI scans, and the data were subsequently analyzed using the Omni kinetic software. HER2 expression was assessed using immunohistochemistry.

RESULTS

The meta-analysis revealed an overall odds ratio (OR) of .21 for HER2/ERBB2 overexpression in gastric cancer, with a 95% confidence interval of [.14, .30]. DCE-MRI results showed a significant association between high HER2 expression and poor tumor differentiation (P < .005). The extracellular volume fraction (Ecv) quantile, mean, relative deviation, median intensity, and difference entropy were significantly higher in the low HER2 expression group compared to the high HER2 expression group. Receiver operating characteristic (ROC) curve analysis demonstrated that the area under the curve (AUC) values of DCE-MRI radiomic parameters with significant differences were close to .7.

CONCLUSION

Overexpression of HER2/ERBB2 in gastric cancer is significantly associated with certain radiomic parameters of DCE-MRI, providing a valuable diagnostic tool for clinical practice. Furthermore, the meta-analysis further confirmed the critical role of HER2/ERBB2 in the development of gastric cancer.

The Role of TP53, KRAS, CDH1, Demographic and Clinical Variables in Gastric Cancer

Background

Worldwide, gastric cancer remains the fifth most prevalent type of cancer and is the third leading cause of cancer-related deaths. Gastric cancer is responsible for around 7% of global cancer occurrence and approximately 9% of annual cancer-related mortalities.

Objective

The aim of the study was to analyze gastric cancer dataset posted on Kaggle (https://www.kaggle.com/datasets/datasetengineer/gastric-cancer-gc-dataset).

Methods

This dataset comprises 212354 participants, of whom 10% had gastric cancer. This dataset was analyzed to extract the information regarding gastric cancer. The analysis of data was performed SPSS version 25. Descriptive analysis was used to describe data including frequency and percentages to describe categorical variables such as age, and the mean and standard deviation to describe non-categorical variables such as age. The relationships between variables and gastric cancer were calculated based on Chi-Square and One Way ANOVA tests, significance was considered if p value ≤0,05.

Results

The mean age was 53.2580±18.98 years. Seventy percent of participants were males. About 30% of participants had a family history of gastric cancer. About 40% of participants were smokers. About 50% of participants were alcoholic. About 75% of participants had Helicobacter pylori. 80% of participants were at high salt intake. About 50% of participants had chronic gastritis. Abnormal endoscopic image reports were reported in approximately 30% of participants. Biopsy results were negative in 90% of participants. The reports of CT scans were negative in approximately 80%. Genetic mutations were detected in Tp53 (50.1%), KRAS (20%), and CDH1 (29,9%). No significant relationships were found between gastric cancer and study variables.

Conclusion

Most of the people had risk factors such as Helicobacter pylori infection, salt intake, and mutations in TP53, KRAS, and CDH1. However, statistical analyses did not find significant correlations between those and gastric cancer.

Development of a Comprehensive Gene Signature Linking Hypoxia, Glycolysis, Lactylation, and Metabolomic Insights in Gastric Cancer through the Integration of Bulk and Single-Cell RNA-Seq Data

BACKGROUND

Hypoxia and anaerobic glycolysis are cancer hallmarks and sources of the metabolite lactate. Intriguingly, lactate-induced protein lactylation is considered a novel epigenetic mechanism that predisposes cells toward a malignant state. However, the significance of comprehensive hypoxia-glycolysis-lactylation-related genes (HGLRGs) in cancer is unclear. We aimed to construct a model centered around HGLRGs for predicting survival, metabolic features, drug responsiveness, and immune response in gastric cancer.

METHODS

The integration of bulk and single-cell RNA-Seq data was achieved using data obtained from the TCGA and GEO databases to analyze HGLRG expression patterns. A HGLRG risk-score model was developed based on univariate Cox regression and a LASSO-Cox regression model and subsequently validated. Additionally, the relationships between the identified HGLRG signature and multiple metabolites, drug sensitivity and various cell clusters were explored.

RESULTS

Thirteen genes were identified as constituting the HGLRG signature. Using this signature, we established predictive models, including HGLRG risk scores and nomogram and Cox regression models. The stratification of patients into high- and low-risk groups based on HGLRG risk scores showed a better prognosis in the latter. The high-risk group displayed increased sensitivity to cytotoxic drugs and targeted inhibitors. The expression of the HGLRG BGN displayed a strong correlation with amino acids and lipid metabolites. Notably, a significant difference in immune infiltration, such as that of M1 macrophages and CD8 T cells, was correlated with the HGLRG signature. The abundant DUSP1 within the mesenchymal components was highlighted by single-cell transcriptomics.

CONCLUSION

The innovative HGLRG signature demonstrates efficacy in predicting survival and providing a practical clinical model for gastric cancer. The HGLRG signature reflects the internal metabolism, drug responsiveness, and immune microenvironment components of gastric cancer and is expected to boost patients' response to targeted therapy and immunotherapy.

Histone and DNA Methylation as Epigenetic Regulators of DNA Damage Repair in Gastric Cancer and Emerging Therapeutic Opportunities

Gastric cancer (GC), one of the most common malignancies worldwide, is a heterogeneous disease developing from the accumulation of genetic and epigenetic changes. One of the most critical epigenetic alterations in GC is DNA and histone methylation, which affects multiple processes in the cell nucleus, including gene expression and DNA damage repair (DDR). Indeed, the aberrant expression of histone methyltransferases and demethylases influences chromatin accessibility to the DNA repair machinery; moreover, overexpression of DNA methyltransferases results in promoter hypermethylation, which can suppress the transcription of genes involved in DNA repair. Several DDR mechanisms have been recognized so far, with homologous recombination (HR) being the main pathway involved in the repair of double-strand breaks. An increasing number of defective HR genes are emerging in GC, resulting in the identification of important determinants of therapeutic response to DDR inhibitors. This review describes how both histone and DNA methylation affect DDR in the context of GC and discusses how alterations in DDR can help identify new molecular targets to devise more effective therapeutic strategies for GC, with a particular focus on HR-deficient tumors.