Survival Of Gastric Cancer Patients Research Articles

YB-800, a monoclonal antibody targeting the human neuronal pentraxin receptor (NPTXR), as a potential candidate for the design of a first in class antibody drug conjugate (ADC) as novel therapeutic intervention in gastro-intestinal cancers.

e15022 Background: The human neuronal pentraxin receptor (NPTXR) gene encodes a type II transmembrane protein that functions as a trans-synaptic organizer and anchors neuronal pentraxin complexes to plasma membranes. Beside a subset of neuronal cells (Hippocampus and Cerebral Cortex), expression of NPTXR is not detected in all other tissues [ The Human Protein Atlas database]. In recent studies [Kanda et al. (2020) Mol. Cancer. doi: 10.1186/s12943-020-01251-0], transcriptome and bioinformatics analysis of gastric cancer (GC) tissues from patients with or without metastasis have revealed that NPTXR expression was associated with disease progression. NPTXR expression was also correlated negatively with survival in GC patients. It appears that NPTXR does not have a major physiological function; e.g., NPTXR−/− mice showed no abnormalities in reproduction, development, metabolism, or motor function. NPTXR is expressed in a number of GI cancers, i.e., gastric, esophageal, colorectal, pancreatic, bladder, liver, as well as breast and thyroid cancer. YB-800 is a fully humanized monoclonal antibody against NPTXR (identified by in silico analysis). Methods: The present studies were conducted to provide a rationale for the design of a YB-800-based antibody drug conjugate (ADC) for therapeutic intervention in oncology. Hence, YB-800 binding to and internalization in selected tumor cells, as well as immunohistochemistry (IHC) in tumor biopsies, were evaluated. Results: Taken together experimental data confirm that: (i) YB-800 binds to a new target (NPTXR) on selected tumor cells; confirmed by FACS analysis; (ii) IHC analysis in tumor samples demonstrates specific immunoreaction in bladder, gastric, prostate, hepatocellular carcinoma, colorectal cancer and cervical cancer, but not in adjacent healthy tissues; and (iii) once YB-800 binds to NPTXR, the conjugate is internalized in selected tumor cells in a time-dependent manner. Conclusions: In conclusion, YB-800 represents a first in class ADC candidate that could be used as novel treatment for gastro-intestinal cancers. Hence, as initial proof of concept, tesirine (DNA intercalating agent) and deruxtecan (topoisomerase I inhibitor) containing protease-sensitive linkers were coupled to YB-800 by stochastic maleimide conjugations to interchain cysteines. Initial results with YB-800-based ADCs will be discussed.

MiR-30a-5p isoform −1|1 promotes the progression of gastric cancer by inhibiting TMEM66 and reducing intratumoral cytotoxic T cells

Gastric cancer is histologically classified into the intestinal subtype, which forms tubular structures, and the aggressive diffuse subtype, characterized by rapid invasion and poor prognosis. The variety and quantity of miRNA isoforms between different histological subtypes of gastric cancer were unknown. Through systematic filtering, we found that more diverse miR-30a-5p isoforms was present in the diffuse subtype of gastric cancer, and was associated with patients’ worse survival independent of tumor stage based on the TCGA miRNA-seq data. Among all nine isoforms of miR-30a-5p, miR-30a-5p −1|1 was more abundant than the archetype of miR-30a-5p. Higher expression of miR-30a-5p −1|1 was observed in patients with advanced tumor stage and poor survival. Furthermore, miR-30a-5p −1|1 could promote the metastasis of gastric cancer cells both in vitro and in vivo by down-regulating TMEM66. In clinical samples, decreased expression of TMEM66 was characteristic of gastric cancer, and the low level of TMEM66 correlated with deceased CD8 positive cells in the tumor microenvironment probably due to decreased cytokines production. In conclusion, the variety of miR-30a-5p isoforms correlates with worse survival in gastric cancer patients. Moreover, miR-30a-5p −1|1 could promote gastric cancer metastasis by inhibiting TMEM66 and the infiltration of intratumoral CD8 positive cells.

Blood transfusion might not be recommended for gastric cancer patients with pretransfusion minimum hemoglobin values higher than 90g/L: a real-world study covering 20 years of 13470 patients.

There was no consistent evidence whether perioperative blood transfusion (PBT) affects the long-term survival of gastric cancer (GC) patients after undergoing gastrectomy. This study aimed to investigate the effects of PBT on long-term survival of GC patients, as well as to determine the threshold of PBT and provide evidence for future surgical practice. We performed this real-world study of GC patients undergoing gastrectomy in China National Cancer Center from January 1, 2000 to December 30, 2019. Overall survival (OS) curves were plotted using the Kaplan-Meier method and compared statistically using the log-rank test. Univariate and multivariate Cox proportional hazards models were used to determine the risk factors for OS. In total, 13470 GC patients undergoing gastrectomy from 2000 to 2019 was included, of whom 3465 (34.6%) GC patients received PBT. PBT ratios declined from 29.1% (114/392) in 2000 to 11.2% in 2019 (149/1178), with the highest blood transfusion ratio in 2005 at 43.7% (220/504). For patients transfused with red blood cells, the median value of hemoglobin (Hb) before transfusion in the PBT group decreased from 110g/L in 2000 to 87g/L in 2019. Compared with patients who not receiving perioperative blood transfusion (NPBT), PBT group are more likely to be older (≥65, 39.1% vs. 30.1%, P<0.001), open operation (89.7% vs. 78.1%, P<0.001), higher ASA score (>2, 25.3% vs. 14.9%, P<0.001) and in the later pTNM stage (pTNM stage III, 68.5% vs. 51.5%, P<0.001). Results of multivariable Cox regression analysis showed that PBT was an independent prognostic factor for worse OS in GC patients undergoing gastrectomy (HR=1.106, 95% CI, 1.01-1.211, P=0.03). After stratified according to tumor stage, we found that PBT group had a worse prognosis only in pTNM stage III (HR=1.197, 95% CI, 1.119-1.281, P<0.001). OS was obviously poor in the PBT group when Hb levels were higher than 90g/L (90g/L<Hb≤120g/L:HR=1.196, 95% CI,1.090-1.313, P<0.001; Hb>120g/L:HR= 1.207, 95% CI, 1.098-1.327, P<0.001), while there was no difference between the two groups when Hb levels were lower than or equal to 90g/L (Hb≤90g/L: HR=1.162, 95% CI, 0.985-1.370, P=0.075). In conclusion, PBT was an independent prognostic factor for worse OS. Blood transfusion might not be recommended for gastric cancer patients with perioperative minimum Hb values higher than 90g/L.

Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis.

Gastric cancer (GC) is a common malignancy of the digestive system. According to global 2018 cancer data, GC has the fifth-highest incidence and the third-highest fatality rate among malignant tumors. More than 60% of GC are linked to infection with Helicobacter pylori (H. pylori), a gram-negative, active, microaerophilic, and helical bacterium. This parasite induces GC by producing toxic factors, such as cytotoxin-related gene A, vacuolar cytotoxin A, and outer membrane proteins. Ferroptosis, or iron-dependent programmed cell death, has been linked to GC, although there has been little research on the link between H. pylori infection-related GC and ferroptosis. To identify coregulated differentially expressed genes among ferroptosis-related genes (FRGs) in GC patients and develop a ferroptosis-related prognostic model with discrimination ability. Gene expression profiles of GC patients and those with H. pylori-associated GC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus (GEO) databases. The FRGs were acquired from the FerrDb database. A ferroptosis-related gene prognostic index (FRGPI) was created using least absolute shrinkage and selection operator-Cox regression. The predictive ability of the FRGPI was validated in the GEO cohort. Finally, we verified the expression of the hub genes and the activity of the ferroptosis inducer FIN56 in GC cell lines and tissues. Four hub genes were identified (NOX4, MTCH1, GABARAPL2, and SLC2A3) and shown to accurately predict GC and H. pylori-associated GC. The FRGPI based on the hub genes could independently predict GC patient survival; GC patients in the high-risk group had considerably worse overall survival than did those in the low-risk group. The FRGPI was a significant predictor of GC prognosis and was strongly correlated with disease progression. Moreover, the gene expression levels of common immune checkpoint proteins dramatically increased in the high-risk subgroup of the FRGPI cohort. The hub genes were also confirmed to be highly overexpressed in GC cell lines and tissues and were found to be primarily localized at the cell membrane. The ferroptosis inducer FIN56 inhibited GC cell proliferation in a dose-dependent manner. In this study, we developed a predictive model based on four FRGs that can accurately predict the prognosis of GC patients and the efficacy of immunotherapy in this population.

ALKBH5-mediated m6A modification of circFOXP1 promotes gastric cancer progression by regulating SOX4 expression and sponging miR-338-3p

Circular RNAs (circRNAs) have recently been suggested as potential functional modulators of cellular physiology processes in gastric cancer (GC). In this study, we demonstrated that circFOXP1 was more highly expressed in GC tissues. High circFOXP1 expression was positively associated with tumor size, lymph node metastasis, TNM stage, and poor prognosis in patients with GC. Cox multivariate analysis revealed that higher circFOXP1 expression was an independent risk factor for disease-free survival (DFS) and overall survival (OS) in GC patients. Functional studies showed that increased circFOXP1 expression promoted cell proliferation, cell invasion, and cell cycle progression in GC in vitro. In vivo, the knockdown of circFOXP1 inhibited tumor growth. Mechanistically, we observed ALKBH5-mediated m6A modification of circFOXP1 and circFOXP1 promoted GC progression by regulating SOX4 expression and sponging miR-338-3p in GC cells. Thus, our findings highlight that circFOXP1 could serve as a novel diagnostic and prognostic biomarker and potential therapeutic target for GC.

Prognostic value of the advanced lung cancer inflammation index in patients with gastric cancer after radical gastrectomy: a propensity-score matching cohort study and meta-analysis

BackgroundInsufficient evidence existed about the prognostic role of the advanced lung cancer inflammation index (ALI) for gastric cancer patients who underwent curative resection. The aim of this study was to identify the predictive ability of ALI for survival after curative gastrectomy.MethodsWe retrospectively analyzed 328 gastric cancer patients who received curative gastrectomy from the database of Chongqing University Cancer Hospital, and investigated the prognostic role of the preoperative ALI compared with clinicopathological variables and other serum biomarkers, such as preoperative neutrophil-to-lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and Lymphocyte-monocyte ratio (LMR). To minimize intergroup differences, propensity score matching (PSM) analysis was employed. Additionally, we performed a meta-analysis of four cohort studies published up to October 2023 following the PRISMA guidelines.ResultsIn the overall cohort, patients in the low ALI group had a significantly worse overall survival compared to those in the high ALI group (P < 0.0001). Subgroup analysis identified that ALI maintained its prognostic significance across different subgroups. In addition, ROC analysis showed that ALI had a higher AUC value for 3-year overall survival compared to NLR, PLR, and LMR (0.576 vs. 0.573 vs. 0.557 vs. 0.557). Multivariate analysis indicated that ALI, other than other serum biomarkers, was an independent risk factor for decreased overall survival in GC patients following curative surgery (HR = 1.449; 95%CI: 1.028–2.045; P = 0.034). Consistently, PSM analysis supported all of these findings. The meta-analysis including 4 studies evaluating 2542 patients, confirmed the association between the low ALI and poor survival outcomes.ConclusionThe preoperative ALI was an independent prognostic factor for survival in gastric cancer patients who underwent curative gastrectomy.

Molecular alterations in claudin 18 suppressed and non-suppressed gastric adenocarcinomas to guide targeted therapies

ABSTRACT Background Gastric adenocarcinoma represents an aggressive type of cancer and an important cause of cancer mortality. Progress in gastric cancer therapeutics has resulted from a better understanding of the molecular pathogenesis of the disease and introduction of targeted therapies, but most gastric cancer patients still rely on non-targeted chemotherapy as the mainstay of treatment for advanced disease. Methods An analysis of publicly available series from The Cancer Genome Atlas (TCGA) gastric cancer cohort was undertaken to delineate the clinical and genomic landscape of gastric cancers with suppressed expression of claudin 18 compared with cancers with non-suppressed claudin 18. Claudin 18 suppressed cancers were defined as having an mRNA expression z-score relative to normal samples (log RNA Seq V2) of less than −1. Claudin 18 non-suppressed cancers were defined as having an mRNA expression z-score relative to normal samples (log RNA Seq V2) above 0.5. Results Gastric cancers with claudin 18 mRNA suppression represented 7.7% of the gastric adenocarcinomas of TCGA cohort, while non-suppressed cancers represented 46.6% of the cases. The two groups did not differ in clinical and genomic characteristics, such as mean age, histology, grade, and stage. The mutation landscape of claudin 18 suppressed cases included high mutation rates of TP53, of genes of the WNT/β-catenin pathway and of ubiquitin ligase FBXW7. Moreover, a subset of both claudin 18 suppressed and non-suppressed cancers displayed mutations in Mismatch Repair (MMR) associated genes or a high tumor mutation burden (TMB). At the mRNA expression level, claudin 18 suppressed gastric cancers showed up-regulation of EMT core transcription factor Snail 2 and down-regulation of genes of HLA cluster. The survival of gastric cancer patients with claudin 18 mRNA suppression was not significantly different compared with patients with non-suppressed claudin 18. Conclusion Sub-sets of gastric cancers with claudin 18 mRNA suppression displayed characteristics of potential therapeutic interest, such as mutations in WNT and PI3K pathways and MMR defects. These may guide the development of alternative targeted therapies, in this sub-set of gastric cancers which are not candidates for claudin 18 targeting therapies.

Establishment and Validation of Lactate Metabolism-Related Genes as a Prognostic Model for Gastric Cancer.

Gastric Cancer (GC) has become one of the most important causes of cancer-related deaths worldwide due to its intractability. Studying the mechanisms of gastric carcinogenesis, recurrence, and metastasis, and searching for new therapeutic targets have become the main directions of today's gastric cancer research. Lactate is considered a metabolic by-product of tumor aerobic glycolysis, which can regulate tumor development through various mechanisms, including cell cycle regulation, immunosuppression, and energy metabolism. However, the effects of genes related to lactate metabolism on the prognosis and tumor microenvironmental characteristics of GC patients are unknown. <P> </P> Method: In this study, we have collected gene expression data of gastric cancer from The Cancer Genome Atlas (TCGA) and identified differentially expressed genes in gastric cancer using the "Limma" software package. <P> </P> Result: 76 differentially expressed lactate metabolism-related genes were screened, and then the Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression analysis were employed that identified 8 genes, constructed Lactate Metabolism-related gene signals (LMRs), and verified the reliability of the prognostic risk mapping by using TCGA training set and TCGA internal test set. Finally, the functional enrichment analysis was employed to identify the molecular mechanism. <P> </P> Conclusion: Eight lactate metabolism-related genes were constructed into a new predictive signal that better predicted the overall survival of gastric cancer patients and can guide clinical decisions for more precise and personalized treatment.

MiR-99a-3p downregulates TRIM21 to promote gastric cancer development.

Gastric cancer (GC) stands as one of the most formidable malignancies worldwide. It is well-established that miRNAs play a crucial role in the initiation and progression of various human cancers. Among these, miR-99a-3p has been implicated in the pathogenesis of GC. In the context of our study, we embarked on the comprehensive examination of miR-99a-3p expression in GC cells. Additionally, we sought to establish a correlation between miR-99a-3p expression levels and the overall survival (OS) of GC patients, and our findings hinted at its potential role in predicting an unfavorable prognosis. To further investigate the functional implications of miR-99a-3p in GC, we conducted a series of cell-based experiments after successfully knocking down miR-99a-3p. These investigations uncovered a substantial inhibition of cellular events associated with tumor progression. Moreover, employing TargetScan, we identified Tripartite motif-containing protein 21 (TRIM21) as a putative target with a binding site for miR-99a-3p. Subsequent dual-luciferase reporter gene assay confirmed the direct interaction between miR-99a-3p and TRIM21. Western blot analysis validated the alteration in TRIM21 expression levels, revealing an upregulation upon miR-99a-3p knockdown. Building on these molecular findings, we extended our investigations to human GC tissues, where we observed a downregulation of TRIM21, which, notably, correlated with shorter overall survival. Lastly, to further solidify our conclusions, we conducted a series of in vitro and in vivo rescue experiments, collectively suggesting that miR-99a-3p promoted the progression of GC cells through the downregulation of TRIM21. In summary, our study comprehensively explored the role of miR-99a-3p in GC, revealing its association with unfavorable patient outcomes, functional implications in tumor progression, and a direct regulatory relationship with TRIM21. These findings collectively underscore the significance of miR-99a-3p in the pathogenesis of GC and present a potential therapeutic avenue for further investigation.

A Neoteric Feature Extraction Technique to Predict the Survival of Gastric Cancer Patients.

At the time of cancer diagnosis, it is crucial to accurately classify malignant gastric tumors and the possibility that patients will survive. This study aims to investigate the feasibility of identifying and applying a new feature extraction technique to predict the survival of gastric cancer patients. A retrospective dataset including the computed tomography (CT) images of 135 patients was assembled. Among them, 68 patients survived longer than three years. Several sets of radiomics features were extracted and were incorporated into a machine learning model, and their classification performance was characterized. To improve the classification performance, we further extracted another 27 texture and roughness parameters with 2484 superficial and spatial features to propose a new feature pool. This new feature set was added into the machine learning model and its performance was analyzed. To determine the best model for our experiment, Random Forest (RF) classifier, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes (NB) (four of the most popular machine learning models) were utilized. The models were trained and tested using the five-fold cross-validation method. Using the area under ROC curve (AUC) as an evaluation index, the model that was generated using the new feature pool yields AUC = 0.98 ± 0.01, which was significantly higher than the models created using the traditional radiomics feature set (p < 0.04). RF classifier performed better than the other machine learning models. This study demonstrated that although radiomics features produced good classification performance, creating new feature sets significantly improved the model performance.

Identification of Key lncRNAs Associated with Immune Infiltration and Prognosis in Gastric Cancer.

Long non-coding RNAs (lncRNAs), as promising novel biomarkers for cancer treatment and prognosis, can function as tumor suppressors and oncogenes in the occurrence and development of many types of cancer, including gastric cancer (GC). However, little is known about the complex regulatory system of lncRNAs in GC. In this study, we systematically analyzed lncRNA and miRNA transcriptomic profiles of GC based on bioinformatics methods and experimental validation. An lncRNA-miRNA interaction network related to GC was constructed, and the nine crucial lncRNAs were identified. These 9 lncRNAs were found to be associated with the prognosis of GC patients by Cox proportional hazards regression analysis. Among them, the expression of lncRNA SNHG14 can affect the survival of GC patients as a potential prognostic marker. Moreover, it was shown that SNHG14 was involved in immune-related pathways and significantly correlated with immune cell infiltration in GC. Meanwhile, we found that SNHG14 affected immune function in many cancers, such as breast cancer and esophageal carcinoma. Such information revealed that SNHG14 may serve as a potential target for cancer immunotherapy. As well, our study could provide practical and theoretical guiding significance for clinical application of non-coding RNAs.

GGT5 facilitates migration and invasion through the induction of epithelial–mesenchymal transformation in gastric cancer

BackgroundGamma-glutamyltransferase 5 (GGT5), one of the two members in the GGT family (GGT1 and GGT5), plays a crucial role in oxidative regulation, inflammation promotion, and drug metabolism. Particularly in the tumorigenesis of various cancers, its significance has been recognized. Nevertheless, GGT5’s role in gastric cancer (GC) remains ambiguous. This study delves into the function and prognostic significance of GGT5 in GC through a series of in vitro experiments.MethodsEmploying online bioinformatics analysis tools such as The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Kaplan–Meier plotter, and cBioPortal, we explored GGT5 characteristics and functions in GC. This encompassed aberrant expression, prognostic value, genomic alterations and mutations, immune cell infiltration, and associated signaling pathways. Immunohistochemistry was conducted to assess GGT5 expression in GC and adjacent normal tissues. Subsequently, univariate and multivariate logistic regression analyses were applied to investigate the associations between GGT5 and clinical characteristics. CCK8, wound healing, and migration assays were utilized to evaluate the impact of GGT5 on cell viability and migration. Additionally, Gene Set Enrichment Analysis (GSEA) and Western blot analysis were performed to scrutinize the activity of the epithelial–mesenchymal transformation (EMT) signaling pathway under GGT5 regulation.ResultsGGT5 exhibits upregulation in gastric cancer, with its overexpression significantly linked to histological differentiation in GC patients (P < 0.05). Multivariate analysis indicates that elevated GGT5 expression is an independent risk factor associated with poorer overall survival in gastric cancer patients (P < 0.05). In vitro experiments reveal that downregulation of GGT5 hampers the proliferation and migration of GC cell lines. Finally, GSEA using TCGA data highlights a significant correlation between GGT5 expression and genes associated with EMT, a finding further confirmed by Western blot analysis.ConclusionsGGT5 emerges as a promising prognostic biomarker and potential therapeutic target for GC.

Gastric cancer and metabolic syndrome

Gastric cancer (GC), a prevalent disease in Asian countries, presents a substantial global health challenge. The risk factors for GC include Helicobacter pylori infection, diet, smoking, alcohol, and metabolic syndrome (MetS). This review meticulously examines the intricate connections between MetS and GC, focusing on visceral adipocytes, hormonal factors, obesity, and their impact on survival outcomes. Visceral adipocytes, which secrete inflammatory cytokines and hormones, play a pivotal role in influencing cancer development. Hormonal factors demonstrate nuanced associations with specific GC subtypes, underscoring the complexity of their impact. Large-scale studies exploring obesity-related factors reveal sex-specific nuances and underscore the importance of considering overall weight and body composition. Furthermore, the review explores the impact of eradication therapy for H. pylori infection, which is the most significant factor in the onset of GC, on the components of MetS. Additionally, the influence of MetS on postoperative outcomes and survival in GC patients highlights the interplay between therapeutic interventions and lifestyle factors. This comprehensive exploration sheds light on the multifaceted relationship between MetS and GC, providing valuable insights for future research and preventive strategies.

Prognostic value and potential function of a novel heme-related LncRNAs signature in gastric cancer

Heme is a coordination complex formed by the binding of iron ions and porphyrin rings. Its metabolic processes are associated with various cancers, including gastric cancer (GC). In recent years, long non-coding RNAs (LncRNAs) have been identified as key regulatory factors in GC. However, the role of LncRNAs associated with heme metabolism in GC and their relationship with prognosis have not been reported. In this study, we constructed a novel LncRNAs signature related to heme metabolism (HMlncSig) and validated its prognostic value for predicting the survival of GC patients through training, test, and entire cohorts. Kaplan-Meier analysis demonstrated that patients in the high-risk group had shorter survival times. Univariate and multivariate Cox regression analysis showed that HMlncSig was an independent prognostic indicator for GC patients, regardless of other clinical pathological features. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis and gene set variation analysis pathways showed that the activation of these markers may be involved in tumor progression, influencing the survival of GC patients. The nomogram, based on HMlncSig score and clinical features, demonstrated the strong predictive ability of this signature. Additionally, significant differences were observed between the high-risk and low-risk groups in terms of immune cell subtypes, expression of immune checkpoint genes, and response to chemotherapy and immunotherapy. Through clinical validation, we found that the risk score and heme levels of GC patients were both significantly elevated and correlated with the degree of malignancy. Furthermore, we found that AP000692.1, a key gene in this signature, promoted the proliferation, migration, and invasion of GC cells. In conclusion, our HMlncSig model has significant predictive value for the prognosis of GC patients and can provide clinical guidance for personalized immunotherapy.

Abstract 2570: Gastric cancer with high neuron infiltration was associated with enhanced epithelial-to-mesenchymal transition, angiogenesis and poor clinical outcomes

Abstract Introduction: Neurons within the tumor microenvironment of gastric cancer (GC), as identified through immunohistochemistry, have been reported to be associated with worse overall survival (OS) of GC patients. However, histology-based analyses have limitations in quantifying nerve cells and investigating the underlying biology. Thus, we aim to study the clinical significance of intratumoral nerve cells in GC using computational deconvolution of transcriptomes from bulk tumors. Methods: Total of 807 GC patients from two independent cohorts (TCGA; n = 375, GSE84437; n = 432) were included, encompassing both clinical and transcriptomic profiles. The neuron infiltration fraction was determined using the xCell algorithm. Results: GC with high neuron infiltration was associated with high expressions of neurotransmitter receptors; beta-adrenaline, dopamine, muscarinic acetylcholine, and neurokinin receptors in TCGA cohort (all p &amp;lt; 0.02). It was associated with reduced mutation rate and increased intratumoral heterogeneity (all p ≦ 0.002), as well as less immune response; interferon-alpha and interferon-gamma, and with low infiltration of immune cells; CD4 memory, T-helper 1, M1 and M2 macrophages, and NK cells (all p ≦ 0.02). Further, neuron highly infiltrated GC enriched Epithelial-to-Mesenchymal Transition and Angiogenesis gene sets and had higher lymphatic and microvessel endothelial cells and pericyte infiltrations (all p ≦ 0.001). Conversely, GC with high neuron infiltration showed an inverse relationship with cell proliferation-related gene sets; E2F Targets, G2M Checkpoint, and MYC Targets v1 and v2, and had lower Ki67 gene expression (FDR &amp;lt; 0.25 and p &amp;lt; 0.001, respectively). High neuron infiltration in GC was associated with worse patient OS in TCGA cohort, which was validated in GSE84437 cohort (both p &amp;lt; 0.05). It was an independent prognostic factor of OS in both univariate and multivariate Cox-regression analysis in the TCGA cohort (hazard ratio [HR]: 1.46; 95% confidence interval [CI]: 1.01 to 2.12; p = 0.045 and [HR]:1.54; 95% CI: 1.05 to 2.26; p = 0.026). Conclusion: Our research indicates that high infiltration of neurons in GC correlates with high expressions of neurotransmitter receptors, high intratumoral heterogeneity, less immune response and immune cell infiltrations, and less cell proliferation. It enriched EMT and angiogenesis which may explain its association with worse patient survival. Citation Format: Kohei Chida, Masanori Oshi, Arya Mariam Roy, Jun Arima, Pia Sharma, Gabriella Kim Mann, Itaru Endo, Kenichi Hakamada, Kazuaki Takabe. Gastric cancer with high neuron infiltration was associated with enhanced epithelial-to-mesenchymal transition, angiogenesis and poor clinical outcomes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2570.

Abstract 282: SFRP4+ cancer associated fibroblasts activate epithelial to mesenchymal transitions in malignant cells and dictate adverse clinical outcomes in stomach cancer

Abstract Cancer-associated fibroblasts (CAFs), a pivotal component in the tumor microenvironment (TME) of gastric cancer (GC), play a crucial role in tumor progression and resistance to treatment. In this study, we performed analyses to build a comprehensive cellular landscape of fibroblasts in GC EMT using three single-cell RNA cohorts including ours (GSE183904, GSE134520 and GSE167297). We observed distinct fibroblast subtypes (CXCL14+/POSTN+, CXCL14+/APOE+, SFRP4+, and SFRP2+ fibroblasts). Among the subtypes, we observed that SFRP4+ fibroblasts sharing cellular origins with normal tissue-residing SFRP2+ myofibroblasts. Notably, SFRP4+ fibroblasts showed a regional prediction for tumor and deep tumor layers compared to normal and superficial tumor layers, respectively. To further understand the role of these fibroblasts, we employed spatial transcriptome data. Spatially resolving the cellular interactions within the TME, the adjacency of SFRP4+ CAFs to malignant cells undergoing epithelial-to-mesenchymal transition (EMT), was observed. Ligand-receptor analyses demonstrated SFRP4+CAFs regulate key genes of EMT in malignant cells (TGFBI, COL1A1, SPARC, COL3A1, COL1A2, and BGN). The regulatory roles of SFRP4+ CAFs in driving the epithelial-mesenchymal transition (EMT) of malignant cells were further validated in vitro. Clinical relevance was also demonstrated with the correlation between the abundance of SFRP4+ CAF and clinical outcomes, i.e., high SFRP4+CAF abundance was consistently associated with shorter survival of GC patients across cohorts. Thus, we present SFRP4+ CAFs as major fibroblast subtypes in GC TME. Spatial cellular architectures and in vitro evidence support that SFRP4+fibroblasts activate the EMT of malignant cells along with their association with patient prognosis. This study advances our understanding into the mechanistic roles of SFRP4+ fibroblasts in GC pathogenesis and progression, paving the way for potential targeted therapeutic strategies. Citation Format: Seungho Lee, Austin Cho, Hyoung-Il Kim, Hoon Hur, Jae-Ho Cheong, Tae-Min Kim. SFRP4+ cancer associated fibroblasts activate epithelial to mesenchymal transitions in malignant cells and dictate adverse clinical outcomes in stomach cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 282.

A prognostic signature of fatty acid metabolism-related genes for predicting survival of gastric cancer patients.

To analyze the expression profile of fatty acid metabolism (FAM)-related genes, identify a prognostic signature, and evaluate its clinical value for gastric cancer (GC) patients. The mRNA expression profiles of 493 FAM-related genes were obtained from TCGA database. Differentially expressed genes (DEGs) between cancer and non-cancer samples were identified, and their relationships with overall survival (OS) of GC patients were evaluated. A prognostic signature of FAM-related genes was identified by the LASSO regression model, and its predictive performance was tested by an independent external cohort. Ninety-three DEGs were identified, of which 44 were downregulated and 49 were upregulated. After optimizing risk characteristics, a prognostic signature of four FAM-related genes (ACBD5, AVPR1A, ELOVL4, and FAAH) were developed. All patients were divided into high-risk (>1.020) and low-risk groups (≤1.020) on the basis of the median risk score. Survival analysis indicated that high-risk patients had a shorter OS than low-risk patients (5-year OS rate, 26.3% vs. 45.0%, p < 0.001). The AUC values for the prediction of 3-year and 5-year OS were 0.664 and 0.624, respectively. In the GSE62254 data set, the 5-year OS rate of high-risk and low-risk patients were 44.7% versus 61.5%, respectively (p = 0.003). The AUC values were 0.632 and 0.627 at 3-year and 5-year prediction. The prognostic signature of FAM-related genes was an independent predictor of OS (hanzard ratio [HR] for TCGA cohort: 1.851, 95% confidence interval [CI]: 1.394-2.458, p < 0.001; HR for GSE62254: 1.549, 95% CI: 1.098-2.185, p = 0.013). The risk signature of four FAM-related genes was a valuable prognostic tool, and it might be helpful for clinical management and therapeutic decision of gastric cancer patients.

Predictive nomogram for lymph node metastasis and survival in gastric cancer using contrast-enhanced computed tomography-based radiomics: a retrospective study.

Lymph node involvement significantly impacts the survival of gastric cancer patients and is a crucial factor in determining the appropriate treatment. This study aimed to evaluate the potential of enhanced computed tomography (CT)-based radiomics in predicting lymph node metastasis (LNM) and survival in patients with gastric cancer before surgery. Retrospective analysis of clinical data from 192 patients diagnosed with gastric carcinoma was conducted. The patients were randomly divided into a training cohort (n=128) and a validation cohort (n=64). Radiomic features of CT images were extracted using the Pyradiomics software platform, and distinctive features were further selected using a Lasso Cox regression model. Features significantly associated with LNM were identified through univariate and multivariate analyses and combined with radiomic scores to create a nomogram model for predicting lymph node involvement before surgery. The predictive performance of radiomics features, CT-reported lymph node status, and the nomogram model for LNM were compared in the training and validation cohorts by plotting receiver operating characteristic (ROC) curves. High-risk and low-risk groups were identified in both cohorts based on the cut-off value of 0.582 within the radiomics evaluation scheme, and survival rates were compared. Seven radiomic features were identified and selected, and patients were stratified into high-risk and low-risk groups using a 0.582 cut-off radiomics score. Univariate and multivariate analyses revealed that radiomics features, diabetes mellitus, Nutrition Risk Screening (NRS) 2002 score, and CT-reported lymph node status were significant predictors of LNM in patients with gastric cancer. A predictive nomogram model was developed by combining these predictors with the radiomics score, which accurately predicted LNM in gastric cancer patients before surgery and outperformed other models in terms of accuracy and sensitivity. The AUC values for the training and validation cohorts were 0.82 and 0.722, respectively. The high-risk and low-risk groups in both the training and validation cohorts showed significant differences in survival rates. The radiomics nomogram, based on contrast-enhanced computed tomography (CECT ), is a promising non-invasive tool for preoperatively predicting LNM in gastric cancer patients and postoperative survival.

Banxia-Shengjiang drug pair inhibits gastric cancer development and progression by improving body immunity.

To investigate the mechanism of action of Banxia-Shengjiang drug pair on the inhibition of gastric cancer (GC) using network pharmacology and bioinformatics techniques. The action targets of the Banxia (Pinellia ternata (Thunb.) Makino) -Shengjiang (Zingiber officinale Roscoe) drug pair obtained from the TCMSP database were intersected with differentially expressed genes (DEGs) and GC-related genes, and the intersected genes were analyzed for pathway enrichment to identify the signaling pathways and core target genes. Subsequently, the core target genes were analyzed for clinical relevance gene mutation analysis, methylation analysis, immune infiltration analysis and immune cell analysis. Finally, by constructing the PPI network of hub genes and corresponding active ingredients, the key active ingredients of the Banxia-Shengjiang drug pair were screened for molecular docking with the hub genes. In this study, a total of 557 target genes of Banxia-Shengjiang pairs, 7754 GC-related genes and 1799 DEGs in GC were screened. Five hub genes were screened, which were PTGS2, MMP9, PPARG, MMP2, and CXCR4. The pathway enrichment analyses showed that the intersecting genes were associated with RAS/MAPK signaling pathway. In addition, the clinical correlation analysis showed that hub genes were differentially expressed in GC and was closely associated with immune infiltration and immunotherapy. The results of single nucleotide variation (SNV) and copy number variation (CNV) indicated that mutations in the hub genes were associated with the survival of gastric cancer patients. Finally, the PPI network and molecular docking results showed that PTGS2 and MMP9 were potentially important targets for the inhibition of GC by Banxia-Shengjiang drug pair, while cavidine was an important active ingredient for the inhibition of GC by Banxia-Shengjiang drug pair. Banxia-Shengjiang drug pair may regulate the immune function and inhibit GC by modulating the expression of core target genes such as RAS/MAPK signaling pathway, PTGS2 and MMP9.

The Up-Regulated Expression of Mitochondrial Membrane Molecule RHOT1 in Gastric Cancer Predicts the Prognosis of Patients and Promotes the Malignant Biological Behavior of Cells.

Gastric cancer (GC) remains a major disease of high morbidity and mortality worldwide despite advances in diagnosis and treatment. Ras homolog family member T1 (RHOT1) plays an important role in several cancers. Our study aimed to analyze RHOT1 expression, to assess the relationship between its expression and the prognosis of patients, and know the impact of RHOT1 on GC cells. The Cancer Genome Atlas (TCGA) RNA-seq data was used for gene expression analysis, survival and prognostic analysis. Nomograms were created to analyze the pathological factors of GC patients. RHOT1 expression was up-regulated by analyzed TCGA-Stomach adenocarcinoma (STAD) data and verified by Polymerase Chain Reaction (PCR) assay in GC tissues and cell lines. Furthermore, RHOT1 up-regulation was significantly associated with shorter survival of GC patients. At last, after silencing the expression of RHOT1 in AGS cell lines, we found that the proliferative ability of the cells was significantly reduced, the cell invasion ability was significantly inhibited, the cell migration ability was also significantly weakened, the cell cycle was arrested in the G0/G1 phase, and apoptosis was significantly increased. So RHOT1 could impact the apoptosis, proliferation, invasion, and migration behavior of GC cells. We trust RHOT1 has the potential to become a new oncogene biomarker for diagnosis and prognosis as well as a new therapeutic target in GC.