Drug Resistance In Gastric Cancer Research Articles

Predicting Drug Resistance in Gastric Cancer with Mutation in the Human Epidermal Growth Factor Receptor 2 (HER2) And Machine Learning Technique

Gastric cancer with mutations in the human epidermal growth factor receptor (HER2) can be regarded as one of the leading causes of cancer mortality in the world. Targeted tyrosine kinase inhibitors (TKIs) developed against HER2 yielded optimistic results in improving patients' survival rates and life quality. Nevertheless, drug resistance can influence the critical supportive documents of treatment plans and decrease the treatment effectiveness after about one year. Predicting the efficacy of HER2-TKI drugs or therapies for patients with HER2-mutated gastric cancer is a critical research field. In the present study, a personalized drug response prediction model based on molecular dynamics simulations and machine learning is presented to predict response to first-generation drugs approved by the Ministry of Health in patients with gastric cancer. In the molecular dynamics simulation, the patient's mutation status is considered. The patient's unique mutation status was modeled using molecular dynamics simulations to extract geometric features at the molecular level.Furthermore, additional clinical features are incorporated into the machine learning model to predict drug response. The complete features encompass demographic and clinical characteristics, geometrical properties of the drug-target binding site, and binding free energy (RBFE) of the drug-target complex from molecular dynamics simulations. Drug response prediction utilizes the XGBoost classifier, which achieved leading-edge performance for a 4-level drug response prediction task (PDRP) with 97.5% accuracy, 93% sensitivity, 96.5% specificity, and 94% F1 score. The present research has demonstrated that modeling the binding cavity geometry, in tandem with the binding free energy, can effectively predict drug response. Interestingly, the clinical information, while significant, did not significantly influence the model's performance. This exciting finding opens up new avenues for testing the proposed model on various types of cancers, potentially revolutionizing drug development strategies. DOI: https://doi.org/10.52783/pst.391

Research progress on molecular mechanism of pyroptosis caused by Helicobacter pylori in gastric cancer.

Gastric cancer (GC) is a prevalent malignancy worldwide. Helicobacter pylori (H. pylori), a Gram-negative spiral bacterium, has the ability to colonize and persist in the human gastric mucosa. Persistent H. pylori infection has been identified as a major risk factor for ~80% of GC cases. The interplay between H. pylori pathogenicity, genetic background, and environmental factors collectively contribute to GC transformation. Eradicating H. pylori infection is beneficial in reducing the recurrence of gastric cancer and residual cancer. However, the underlying molecular mechanisms involved in GC remain incompletely understood. Additionally, H. pylori reshapes the immune microenvironment within the stomach which may compromise immunotherapy efficacy in infected individuals. Clinical eradication of H. pylori infection still faces numerous challenges. In this review, the authors summarize recent research progress on elucidating the molecular mechanisms underlying H. pylori infection in GC development. Notably, CagA protein-a carcinogenic virulence factor predominantly expressed by Asian strains of H. pylori-induces inflammation and excessive ROS production within gastric mucosa cells. Dysregulation of multiple pyroptosis signalling pathways can lead to malignant transformation of these cells. MiRNA-1290 plays a crucial role in GC initiation and progression while serving as an indicator for disease progression dynamics. Pyroptosis exhibits dual roles both promoting carcinogenesis and inhibiting tumour growth; thus it holds potential clinical applications for drug-resistant GC treatment strategies. Furthermore, pyroptosis may play a regulatory role within the immune system during gastric cancer development. Lastly, the authors provide an overview on current concepts regarding pyroptosis as well as insights into miRNA-1290's pathogenicity and clinical value within immune mechanisms associated with GC, aiming to serve as reference material for researchers.

Circumventing drug resistance in gastric cancer: A spatial multi-omics exploration of chemo and immuno-therapeutic response dynamics

BackgroundGastric Cancer (GC) characteristically exhibits heterogeneous responses to treatment, particularly in relation to immuno plus chemo therapy, necessitating a precision medicine approach. This study is centered around delineating the cellular and molecular underpinnings of drug resistance in this context. MethodsWe undertook a comprehensive multi-omics exploration of postoperative tissues from GC patients undergoing the chemo and immuno-treatment regimen. Concurrently, an image deep learning model was developed to predict treatment responsiveness. ResultsOur initial findings associate apical membrane cells with resistance to fluorouracil and oxaliplatin, critical constituents of the therapy. Further investigation into this cell population shed light on substantial interactions with resident macrophages, underscoring the role of intercellular communication in shaping treatment resistance. Subsequent ligand-receptor analysis unveiled specific molecular dialogues, most notably TGFB1-HSPB1 and LTF-S100A14, offering insights into potential signaling pathways implicated in resistance. Our SVM model, incorporating these multi-omics and spatial data, demonstrated significant predictive power, with AUC values of 0.93 and 0.84 in the exploration and validation cohorts respectively. Hence, our results underscore the utility of multi-omics and spatial data in modeling treatment response. ConclusionOur integrative approach, amalgamating mIHC assays, feature extraction, and machine learning, successfully unraveled the complex cellular interplay underlying drug resistance. This robust predictive model may serve as a valuable tool for personalizing therapeutic strategies and enhancing treatment outcomes in gastric cancer.

Valproate modulates the activity of multidrug resistance efflux pumps, as a chemoresistance factor in gastric cancer cells.

Drug resistance is one of the most critical problems in gastric cancer therapy. This study was performed to investigate the valproic acid effects on the proliferation of sensitive and resistant cell lines of human gastric cancer, and to explore the mechanism of the agent on multi drug resistance and apoptosis genes. The cytotoxicity effect of valproic acid on the EPG85.257 and EPG85.257RDB cells was assessed by the MTT assay, and the IC50 concentration was evaluated. Apoptosis, genotoxicity, and drug resistance pump activity were evaluated using comet assay, Real-time PCR, and flow cytometry, respectively. Cell proliferation was assayed using a scratch test. Dose-dependent toxicity was recorded after treatment of cells with valproic acid. Valproic acid represented a significant growth inhibition on EPG85.257 cells with IC50 values of 5.84 µM and 4.78 µM after 48 h and 72 h treatment, respectively. In contrast, the drug-resistant counterpart represented 8.7 µM and 7.02 µM IC50 values after the same treatment time. Valproic acid induced PTEN, Bcl2, P53, Bax, P21, and caspase3 expression in EPG85.257 cells, whereas p21, p53, PTEN, and ABCB1 were overexpressed in EPG5.257RDB. Valproic acid hindered cell migration in both cell lines (P < 0.01). Valproate genotoxicity was significantly higher in the parent cells than in their resistant EPG85.257RDB counterparts. Valproate led to a 62% reduction in the daunorubicin efflux of the MDR1 pump activity. Valproate can affect drug resistance in gastric cancer via a unique mechanism independent of MDR1 expression.

Unveiling Gene Regulatory Networks That Characterize Difference of Molecular Interplays Between Gastric Cancer Drug Sensitive and Resistance Cell Lines.

Gastric cancer is a leading cause of cancer-related deaths globally and chemotherapy is widely accepted as the standard treatment for gastric cancer. However, drug resistance in cancer cells poses a significant obstacle to the success of chemotherapy, limiting its effectiveness in treating gastric cancer. Although many studies have been conducted to unravel the mechanisms of acquired drug resistance, the existing studies were based on abnormalities of a single gene, that is, differential gene expression (DGE) analysis. Single gene-based analysis alone is insufficient to comprehensively understand the mechanisms of drug resistance in cancer cells, because the underlying processes of the mechanism involve perturbations of the molecular interactions. To uncover the mechanism of acquired gastric cancer drug resistance, we perform for identification of differentially regulated gene networks between drug-sensitive and drug-resistant cell lines. We develop a computational strategy for identifying phenotype-specific gene networks by extending the existing method, CIdrgn, that quantifies the dissimilarity of gene networks based on comprehensive information of network structure, that is, regulatory effect between genes, structure of edge, and expression levels of genes. To enhance the efficiency of identifying differentially regulated gene networks and improve the biological relevance of our findings, we integrate additional information and incorporate knowledge of network biology, such as hubness of genes and weighted adjacency matrices. The outstanding capabilities of the developed strategy are validated through Monte Carlo simulations. By using our strategy, we uncover gene regulatory networks that specifically capture the molecular interplays distinguishing drug-sensitive and drug-resistant profiles in gastric cancer. The reliability and significance of the identified drug-sensitive and resistance-specific gene networks, as well as their related markers, are verified through literature. Our analysis for differentially regulated gene network identification has the capacity to characterize the drug-sensitive and resistance-specific molecular interplays related to mechanisms of acquired drug resistance that cannot be revealed by analysis based solely on abnormalities of a single gene, for example, DGE analysis. Through our analysis and comprehensive examination of relevant literature, we suggest that targeting the suppressors of the identified drug-resistant markers, such as the Melanoma Antigen (MAGE) family, Trefoil Factor (TFF) family, and Ras-Associated Binding 25 (RAB25), while enhancing the expression of inducers of the drug sensitivity markers [e.g., Serum Amyloid A (SAA) family], could potentially reduce drug resistance and enhance the effectiveness of chemotherapy for gastric cancer. We expect that the developed strategy will serve as a useful tool for uncovering cancer-related phenotype-specific gene regulatory networks that provide essential clues for uncovering not only drug resistance mechanisms but also complex biological systems of cancer.

Exosome-mediated communication between gastric cancer cells and macrophages: implications for tumor microenvironment.

Gastric cancer (GC) is a malignant neoplasm originating from the epithelial cells of the gastric mucosa. The pathogenesis of GC is intricately linked to the tumor microenvironment within which the cancer cells reside. Tumor-associated macrophages (TAMs) primarily differentiate from peripheral blood monocytes and can be broadly categorized into M1 and M2 subtypes. M2-type TAMs have been shown to promote tumor growth, tissue remodeling, and angiogenesis. Furthermore, they can actively suppress acquired immunity, leading to a poorer prognosis and reduced tolerance to chemotherapy. Exosomes, which contain a myriad of biologically active molecules including lipids, proteins, mRNA, and noncoding RNAs, have emerged as key mediators of communication between tumor cells and TAMs. The exchange of these molecules via exosomes can markedly influence the tumor microenvironment and consequently impact tumor progression. Recent studies have elucidated a correlation between TAMs and various clinicopathological parameters of GC, such as tumor size, differentiation, infiltration depth, lymph node metastasis, and TNM staging, highlighting the pivotal role of TAMs in GC development and metastasis. In this review, we aim to comprehensively examine the bidirectional communication between GC cells and TAMs, the implications of alterations in the tumor microenvironment on immune escape, invasion, and metastasis in GC, targeted therapeutic approaches for GC, and the efficacy of potential GC drug resistance strategies.

The ZuoJinWan formula inhibits glycolysis of cisplatin resistant gastric cancer cells via p53 acetylation

IntroductionGastric cancer is one of the common malignancies worldwide, and drug resistance is a major factor contributing to the difficulty of treatment in gastric cancer. Zuojinwan (ZJW) has been found to exhibit a certain inhibitory effect on tumor cells. However, the molecular mechanisms of ZJW reversing drug resistance in gastric cancer are still unclear. MethodHuman gastric cancer cisplatin-resistant cells SGC-7901/DDP and BGC-823/DDP were divided into control groups, DDP groups (10 μg/mL), 2-DG (5 mM) groups, and ZJW (50 μg/mL) combined with DDP (10 μg/mL) groups. After 48 h of culture, cell proliferation inhibition rate, glucose uptake rate, ATP, and lactate production were detected. Following lentiviral transfection to overexpress GLUT1 and HDAC1, western blot analysis was employed to examine the expression of HDAC1, P53, Ace-p53, and glucose metabolism-related proteins such as GLUT1, LDHA, HK II in the cells. ResultsThe combination of ZJW and DDP significantly inhibits the proliferation and glycolysis of cisplatin resistant gastric cancer cells. Compared with the DDP group, the combination of ZJW and DDP exhibited a higher inhibition rate (P < 0.01), accompanied by a reduction in the expression of HDAC1 and P53 proteins. ConclusionsZuojinwan can enhance the proliferation inhibition rate of SGC-7901/DDP and BGC-823/DDP cells, attenuate glycolysis, and reduce chemotherapy resistance. Its mechanism may be associated with the inhibition of HDAC1/P53 axis activity.

SIVA-1 enhances acquired chemotherapeutic drug resistance of gastric cancer in vivo by regulating the ARF/MDM2/p53 pathway

SIVA-1 has been shown to affect apoptotic processes in various different cell lines, and SIVA-1 significantly contributes to the decreased responsiveness of cancer cells to some chemotherapy agents. However, whether SIVA-1 has potential application in gastric cancer remains unknown. Therefore, the objective of this investigation was to clarify the distinct function of SIVA-1 in chemotherapeutic drug resistance within a living murine model with gastric malignancy, and initially elucidate the underlying mechanisms. In an established multidrug-resistant gastric cancer xenograft mouse model, lentivirus, named Lv-SIVA-1, was injected into xenograft tumors, and increased the mRNA and protein expression of endogenous SIVA-1 in tumors. Immunohistochemical assays of xenograft tumor showed that SIVA-1 was significantly upregulated, and the protein expression levels of SIVA-1 were highly increased, as detected by Western blotting. In addition, we detected the role of SIVA-1 in cell proliferation and cell apoptosis in gastric cancer cells by TUNEL and found that SIVA-1 decreased tumor cell apoptosis and promoted tumor growth in vivo. Using a TMT assay between tumor tissues of experimental and control groups, differentially expressed proteins were examined and three potential biomarkers of multidrug resistance (ARF, MDM2, and p53) were screened. We further investigated the molecular mechanism by which SIVA-1 played an efficient role against chemotherapies and found that overexpressed SIVA-1 leads to increased ARF and MDM2 expression and suppressed expression of p53 in tumor tissue. In conclusion, SIVA-1 plays a significant role in the multidrug resistance of gastric tumors. In addition, overexpressed SIVA-1 positively regulates cell proliferation, adjusts cycle progression, and reduces the response to drug treatment for gastric cancer in an ARF/MDM2/p53-dependent manner. This novel research provides a basis for chemical management of gastric cancer through regulation of SIVA-1 expression.

The inhibitory effect of quercetin on chemotherapeutic drug resistance of gastric cancer through forkhead box D3 signaling pathway

Most gastric cancer patients have cancer cell metastasis at the time of being diagnosed. Cisplatin chemotherapy can slow down the development of gastric cancer, but the drug resistance will develop after a long time of chemotherapy. Previous studies have found that quercetin improves resistance of chemotherapy drugs. Therefore, this study intends to explore quercetin’s role in gastric cancer. SGC-7901 drug-resistant cell line was cultured and intervened. MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay assessed cell proliferation, cell survival rate, IC50 value and sensitivity along with analysis of cell apoptosis, proliferation by colony formation assay and qRT-PCR (real-time reverse transcription-PCR) and Western blot detection of FOXD3 (Forkhead box D3) levels. Gastric cancer xenograft tumor mouse model was established to assess its in vivo role. The drug-resistant cell model of gastric cancer was successfully constructed and quercetin inhibited cell survival to a certain extent and improved its chemosensitivity. The pro-apoptotic effect of quercetin on cisplatin chemotherapy resistance in gastric cancer is related to the increased FOXD3 level. Quercetin can directly regulate the expression of FOXD3, which is an activation effect. The inhibition rate of gastric cancer mice in vivo was the most prominent in the quercetin+drug resistance group. The tumor-bearing site was significantly reduced and the number of surviving mice was the highest, whose tumor volume was consistently lower than that of other groups. Conclusively, quercetin has a strong anti-tumor effect. It can inhibit gastric cancer cell activity and accelerate apoptosis by activating FOXD3 signaling pathway.

Inhibition of PI3K/Akt/mTOR Signaling Pathway Suppresses 5-Fluorouracil Resistance in Gastric Cancer.

At present, 5-Fluorouracil (5-FU) is a crucial anti-cancer drug and is widely used for the treatment of various carcinomas, including gastric cancer (GC). The resistance of GC cells to 5-FU is still a matter of great concern. To illustrate the role of PI3K/Akt/mTOR signaling in regulating the cell cycle progression and migration of 5-FU-resistant GC cells. After the establishment of drug-resistant GC cell lines, the effects of 5-FU and/or BEZ235 (the dual inhibitor of PI3K and mTOR) on the activity of parental or drug-resistant GC cells were explored. The viability and localization of GC cells (MKN-45 and MKN-74) and their drug-resistant cells (MKN-45/R and MKN-74/R) were assessed using MTT assays and immunofluorescence staining. The impacts of 5-FU and/or BEZ235 on GC cell cycle progression and cell migration were assessed via flow cytometry analyses and wound healing assays, respectively. GC tissues were collected from patients with GC sensitive or refractory to 5-FU chemotherapy. RT-qPCR and western blot were conducted to measure PI3K, AKT, and mTOR levels in GC cells or tissues. After 5-FU treatment, GC cells displayed 5-FU resistance and the viability of drug-resistant cells (MKN-45/R and MKN-74/R) was higher than that of parental cells (MKN-45 and MKN-74). The IC50 values for MKN-45 and MKN-45/R were 8.93 ug/ml and 140 ug/ml, and the values for MKN-74 and MKN-74/R were 3.93 ug/ml and 114.29 ug/ml. Additionally, the PI3K/Akt/mTOR signaling pathway was activated in drug-resistant GC cells and tumor tissues of patients refractory to 5-FU chemotherapy, as evidenced by high PI3K, Akt, and mTOR levels in MKN-45/R, MKN-74/R, and GC tissues resistant to 5-FU. BEZ235 promoted cell cycle arrest and suppressed the migration of GC cells. Moreover, the combination of BEZ235 and 5-FU led to more effective suppressive influence on cell cycle progression and cell migration relative to the single 5-FU or BEZ235 treatment. Silencing of the PI3K/Akt/mTOR signaling pathway suppressed the 5-FU resistance of GC cells.

Yi-qi-hua-yu-jie-du decoction induces ferroptosis in cisplatin-resistant gastric cancer via the AKT/GSK3β/NRF2/GPX4 axis

BackgroundResistance to chemotherapy in gastric cancer (GC) is a ubiquitous challenge for its treatment. Yi-qi-hua-yu-jie-du decoction (YJD), an empirical formula in Traditional Chinese Medicine (TCM), demonstrated survival-prolonging functions in patients with GC. Previous research has shown that YJD could also inhibit drug resistance in GC. However, the precise mechanisms for how YJD accomplishes this remain incompletely explained. PurposeThe research aimed to identify differential metabolic characteristics in cisplatin-resistant GC and investigate whether YJD can target these differences to suppress GC drug resistance. MethodsMetabolomic analysis was conducted to identify metabolic disparities between cisplatin-resistant and parental GC cells, as well as metabolic modifications resulting from YJD intervention in cisplatin-resistant GC cells. The effect of YJD on ferroptosis stimulation was assessed by measuring the levels of reactive oxygen species (ROS), malondialdehyde (MDA), iron ions, the reduced glutathione (GSH) to oxidised glutathione (GSSG) ratio, and alterations in mitochondrial morphology. Western blotting and quantitative real-time polymerase chain reaction (Q-PCR) were employed to verity the mechanisms of YJD-triggered ferroptosis through GPX4 and NRF2 overexpression models, alongside the AKT activator SC79. In vivo validation was conducted using nude mouse xenograft models. ResultsCisplatin-resistant GC exhibited altered GSH/GPX4 metabolism, and ferroptosis was a significantly enriched cell death pattern with YJD treatment in cisplatin-resistant GC cells. Ferroptosis biomarkers, including ROS, MDA, iron ions, the GSH/GSSG ratio, and mitochondrial morphology, were remarkably changed with the YJD intervention. Mechanistic experiments demonstrated that YJD inhibited the phosphorylation cascade activity of the AKT/GSK3β pathway, thereby reducing NRF2 expression. The level of GPX4, a crucial enzyme involved in glutathione metabolism, was attenuated, facilitating ferroptosis induction in cisplatin-resistant GC. ConclusionThe research reveals, for the first time, changes in GSH/GPX4 metabolism in cisplatin-resistant GC cells based on metabolomic analysis. YJD induced ferroptosis in cisplatin-resistant GC by inhibiting GPX4 through the AKT/GSK3β/NRF2 pathway, thus attenuating the cisplatin drug resistance in GC. Our findings identify metabolic changes in cisplatin-resistant GC and establish a theoretical framework for YJD on tackling drug resistance in GC through ferroptosis.

Activation of Glycolysis by MCM10 Increases Stemness and Paclitaxel Resistance in Gastric Cancer Cells.

Chemotherapy is an essential avenue for curing malignancies; however, tumor cells acquire resistance to chemotherapeutic agents, eventually leading to chemotherapy failure. At present, paclitaxel (PTX) resistance seriously hinders the therapeutic efficacy of gastric cancer (GC). Investigating the molecular mechanism of PTX resistance in GC is critical. This study attempted to delineate the impact of MCM10 on GC resistance to PTX and its mechanism in GC. The expression of minichromosome maintenance complex component 10 (MCM10) in GC tissues, its enrichment pathways, and its correlation with glycolysis marker genes and stemness index (mRNAsi) were analyzed in a bioinformatics effort. Real-time quantitative polymerase chain reaction was used to assay the expression of MCM10 in cells. Cell counting kit-8 (CCK-8) was used to analyze cell viability and calculate the 50% inhibitor concentration (IC50) value. Western blot was used to measure the expression of MCM10, Hexokinase 2 (HK2) and stemness-related factors in cells. Sphere-forming assay was performed to study cell sphere-forming ability. Seahorse XF 96 was utilized to measure cell extracellular acidification and oxygen consumption rates. The content of glycolysisrelated products was tested with corresponding kits. MCM10 was significantly upregulated in GC and enriched in the glycolysis pathway, and it was positively correlated with both glycolysis-related genes and stemness index. High expression of MCM10 increased sphere-forming ability of drug-resistant cells and GC resistance to PTX. The stimulation of PTX resistance and drug-resistant cell stemness in GC by high MCM10 expression was mediated by the glycolysis pathway. MCM10 was upregulated in GC and drove stemness and PTX resistance in GC cells by activating glycolysis. These findings generated new insights into the development of PTX resistance in GC, implicating that targeting MCM10 may be a novel approach to improve GC sensitivity to PTX chemotherapy.

CYB5R1 is a potential biomarker that correlates with stemness and drug resistance in gastric cancer

BackgroundDrug resistance is a major obstacle in the treatment of gastric cancers (GC). In recent years, the prognostic value of the mRNA expression-based stemness score (mRNAss) across cancers has been reported. We intended to search for the key genes associated with Cancer stem cells (CSCs) and drug resistance. MethodsAll GC samples from The Cancer Genome Atlas (TCGA) were then divided into low- and high-mRNAss groups based on the median value of mRNAss. A weighted correlation network analysis (WCGNA) was used to identify co-expressed genes related to mRNAss groups. Differential gene expression analysis with Limma was performed in the GSE31811. The correlations between CYB5R1 and the immune cells and macrophage infiltration were analyzed by TIMER database. Spheroid formation assay was used to evaluate the stemness of gastric cancer cells, and transwell assay was used to detect the invasion and migration ability of gastric cancer cells. ResultsGC patients with high mRNAss values had a worse prognosis than those with low mRNAss values. 584 genes were identified by WGCNA analysis. 668 differentially expressed genes (DEGs) (|logFC|>1) with 303 down-regulated and 365 up-regulated were established in drug-effective patients compared to controls. TCGA-STAD samples were divided into 3 subtypes based on 303 down-regulated genes. CYB5R1 was a potential biomarker that correlated with the response to drugs in GC (AUC=0.83). CYB5R1 participated in drug resistance and tumorigenesis through NFS1 in GC. ConclusionsOur study highlights the clinical importance of CYB5R1 in GC and the CYB5R1-NFS1 signaling-targeted therapy might be a feasible strategy for the treatment of GC.

The CAIX inhibitor SLC-0111 exerts anti-cancer activity on gastric cancer cell lines and resensitizes resistant cells to 5-Fluorouracil, taxane-derived, and platinum-based drugs

Gastric cancer (GC) is the fifth most frequent malignancy and the fourth leading cause of worldwide cancer-related death. Despite the usage of multimodal perioperative chemotherapy (pCT), GC progressively gains chemoresistance, thereby, the identification of suitable targets to overcome drug resistance is fundamental. Amongst the potential biomarkers, carbonic anhydrase IX (CAIX) - associated with a poor prognosis of several solid cancers - has gained the most attention. In a cohort of GC patients who received perioperative FLOT (i.e., Leucovorin, 5-Fluouracil, Docetaxel, and Oxaliplatin) or FOLFOX (i.e., Leucovorin, 5-Fluouracil, and Oxaliplatin), non-responder patients showed an increased expression of tumor CAIX compared to responder group. Moreover, GC cell lines induced to be resistant to 5-Fluouracil, Paclitaxel, Cisplatin, or the combination of 5-Fluorouracil, Oxaliplatin, and Docetaxel, overexpressed CAIX compared to the control. Accordingly, CAIX-high-expressing GC cells showed increased therapy resistance compared to low-expressing cells. Notably, SLC0111 significantly improved the therapy response of both wild-type and resistant GC cells.Overall, these data suggest a correlation between CAIX and GC drug resistance highlighting the potential of SLC-0111 in re-sensitizing GC cells to pCT.

Construction of an autophagy-related eleven long noncoding RNA signature to predict the outcomes, immune cell infiltration, and immunotherapy response in patients with gastric cancer.

Long noncoding RNAs (LncRNAs) may be involved in the occurrence, development, and drug resistance of gastric cancer (GC) by regulating autophagy. This study aims to establish an autophagy-related LncRNA (ARL) signature (ARLSig) and explore its immunogenomic implications in patients with GC. The RNA sequencing and clinical data of patients with GC from The Cancer Genome Atlas database, and autophagy genes from the Human Autophagy Database were extracted. The co-expression and Cox regression analyses were performed to establish a prognostic ARLSig. Further, the differences in clinicopathology, immune microenvironment, immune function, and response to immunotherapy between the risk groups were explored by several algorithms. A prognostic risk model consisting of 11 ARLs was constructed. The clinical correlation analysis between the ARLSig and clinicopathological factors indicated that the ARLSig was correlated with the comprehensive, T, and N stages (all P<0.05). Further, a nomogram including the ARLSig and clinical factors suggested it had a powerful predictive value for survival, with a higher prediction efficiency for 1-, 3-, and 5-year survival than other clinicopathological factors. Finally, the immune-related analysis between the two risk groups showed that the high-risk group had significantly higher infiltration proportions of natural killer cells resting, monocytes, M2 macrophages, and dendritic cells resting, as well as higher expression of 25 immune checkpoint genes. In addition, the immunotherapy response prediction by the tracking of indels by decomposition algorithm showed the low-risk group was more sensitive to immune checkpoint inhibitor therapy. The ARLSig consisting of 11 ARLs in GC showed highly efficient predictive value for survival of patients with GC and might provide novel targets for their individualized immunotherapy.

Abstract 1755: ADAR1-mediated RNA editing of SCD1 links lipid metabolism to gastric cancer drug resistance and self-renewal

Abstract Targetable drivers governing to 5-fluorouracil and cisplatin (5FU+CDDP) resistance remain elusive due to the paucity of physiologically and therapeutically relevant models. Accordingly, we established 5FU+CDDP resistant intestinal subtype GC patient-derived organoid lines. JAK/STAT signaling and its downstream, adenosine deaminases acting on RNA 1 (ADAR1), are shown to be concomitantly upregulated in the resistant lines. ADAR1 was demonstrated to confer chemoresistance and self-renewal in an RNA editing-dependent manner. WES-seq coupled with RNA-seq identified enrichment of hyperedited lipid metabolism genes in the resistant lines. Mechanistically, ADAR1-mediated A-to-I editing on 3’UTR of stearoyl-CoA desaturase (SCD1) increased binding of KH domain-containing, RNA-binding, signal transduction-associated 1 (KHDRBS1), thereby augmenting SCD1 mRNA stability. Consequently, SCD1 facilitates lipid droplet formation to alleviate chemotherapy-induced ER stress and enhances self-renewal through increasing β-catenin expression. Pharmacological inhibition of SCD1 abrogated chemoresistance and tumor-initiating cell frequency. Clinically, high proteomic level of ADAR1 and SCD1, or high SCD1 editing/ADAR1 mRNA signature score predicts a worse prognosis. Together, we unveiled a novel actionable target to circumvent chemoresistance. Citation Format: Jia Jian Loh, Tin Lok Wong, Shixun Lu, Helen HN Yan, Hoi Cheong Siu, Ren Xi, Dessy Chan, Max JF Kam, Lei Zhou, Man Tong, John A. Copland, Leilei Chen, Jingping Yun, Suet Yi Leung, Stephanie Ma. ADAR1-mediated RNA editing of SCD1 links lipid metabolism to gastric cancer drug resistance and self-renewal [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1755.

Abstract 1749: The synergic effect of cisplatin and a chemokine receptor antagonist sensitizes drug resistant gastric cancer cells and inhibits tumoroid formation

Abstract Introduction: Gastric cancer (GC) is an important cause of death worldwide. Cisplatin (CDDP) is the most used drug in the chemotherapy of advanced GC. However, CDDP resistance reduces GC survival. The CCR5/CCL5 axis has been associated with GC development, but its role in CDDP resistance in GC has not been elucidated. The aim of this study was to determine the effects of CCR5/CCL5 axis blockade by a chemokine receptor antagonist (CRA), alone and in combination with CDDP, on in vitro and 3D tumorid models from AGS R-CDDP cells. Methodology: AGS R-CDDP cells (CDDP-resistant human gastric adenocarcinoma cells) were previously established using a stepwise drug dosing protocol and characterized. CCL5 was selected through transcriptomic analysis and its expression level was validated by qRT-PCR. Cytotoxicity assays were determined by using MTT. Apoptosis and cell cycle assays were evaluated by flow cytometry. Tumoroid formation was performed from AGS R-CDDP cells in low adhesion plates (NunclonTMSpheraTM). After 10 days in culture, tumoroid &amp;gt;150 µm in diameter were scored and pharmacological stimuli were added on days 14, 17 and 20. CRA was used alone and in combination with CDDP in all assays. Results: CRA/CDDP combination triggered a re-sensitized phenotype in AGS R-CDDP cells, decreasing cell viability but not increasing apoptosis compared to independent treatments. AGS R-CDDP cells treated with CRA/CDDP were mainly arrested in S phase. CCL5 showed a decrease in mRNA levels after the CRA/CDDP combination compared to separate treatments. AGS R-CDDP cells showed a higher potential in the ability to form tumoroids compared to AGS WT cells. Finally, CRA/CDDP combination inhibited tumoroid formation compared to independent treatments. Discussion and Conclusion: CCL5 showed a decrease in mRNA levels after the CRA/CDDP combination, possibly correlating with allosteric inhibition of the CCR5 receptor. CRA/CDDP combination has a synergic effect that sensitizes AGS R-CDDP cells and inhibits tumoroid formation. This combination could be used as a potential coadjuvant in GC therapy allowing to reduce the doses of CDDP and therefore to reduce side effects. Citation Format: Bárbara Mora-Lagos, María Elena Reyes, Lorena Lobos-Gonzalez, Matías del Campo, Carmen Gloria Ili, Kurt Buchegger, Yuselin Mora, Louise Zanella, Ismael Riquelme, Priscilla Brebi. The synergic effect of cisplatin and a chemokine receptor antagonist sensitizes drug resistant gastric cancer cells and inhibits tumoroid formation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1749.

CircRNA: A new class of targets for gastric cancer drug resistance therapy.

Gastric cancer (GC) is one of the most common malignancies worldwide. Patients with advanced GC need palliative care to ensure survival. This includes the use of chemotherapy agents, such as cisplatin, 5-fluorouracil, oxaliplatin, paclitaxel, and pemetrexed, as well as targeted agents. However, the emergence of drug resistance evidence in poor patient outcomes and poor prognosis is a motivation to determine the specific mechanism of drug resistance. Interestingly, circular RNAs (circRNAs) play an important part in the carcinogenesis and progression of GC and are involved in GC drug resistance. This review systematically summarizes the functions and mechanisms of circRNAs underlying GC drug resistance, especially chemoresistance. It also emphasizes that circRNAs can serve as promising targets for improving drug resistance and therapeutic efficacy.

RUNX2 Reverses p53-Induced Chemotherapy Resistance in Gastric Cancer.

Gastric cancer is one of the most common malignancies worldwide; however, its overall mortality has not improved significantly over the last decade. Chemoresistance plays a critical role in this issue. This study aimed to clarify the role and mechanism of runt-related transcription factor 2 (RUNX2) in platinum-based chemotherapy resistance. First, a drug-resistant model of gastric cancer cells was established to evaluate the relative expression level of the RUNX2 as a potential biomarker of chemotherapy resistance. Next, exogenous silencing was conducted to study whether RUNX2 could reverse drug resistance and understand the underlying mechanisms. Simultaneously, the correlation between the clinical outcomes of 40 patients after chemotherapy and the RUNX2 expression levels in tumor samples was analyzed. We discovered that RUNX2 was significantly expressed in drug-resistant gastric cancer cells and tissues; it was also reversibly resistant to transformation treatment by exogenous RUNX2 silencing. It is confirmed that RUNX2 negatively regulates the apoptosis pathway of the p53 to reduce the chemotherapeutic effects of gastric cancer. RUNX2 is a possible target for platinum-based chemotherapy resistance.

Bioinformatics Identification of Therapeutic Gene Targets for Gastric Cancer.

The global prevalence of gastric cancer (GC) is increasing, and novel chemotherapeutic targets are needed. We searched for potential biomarkers for GC in three microarray datasets within the Gene Expression Omnibus (GEO) database. FunRich (v3.1.3) was used to perform Gene Ontology (GO) analyses and STRUN and Cytoscape (v3.6.0) were employed to construct a protein-protein interaction (PPI) network. To explore hub gene expression and survival, we used Gene Expression Profiling Interactive Analysis (GEPIA) and Kaplan-Meier (KM) plotter. Drugs that were closely related to key genes were screened by the Gene Set Cancer Analysis (GSCA), and relevant correlations were verified experimentally. We validated that the sensitivity of a GC cell line to these drugs was correlated with fibrillin1 (FBN1) mRNA expression levels. We identified 83 upregulated and 133 downregulated differentially expressed genes (DEGs) and these were enriched with regards to their cellular component (extracellular and exosomes), molecular function (extracellular matrix structural constituent and catalytic activity), and biological process (cell growth and/or maintenance and metabolism). The biological pathways most prominently involved were epithelial-to-mesenchymal transition (EMT) and β3integrin cell surface interactions. For the PPI network, we selected 10 hub genes, and 70% of these were significantly connected to poor overall survival (OS) in patients with GC. We found a significant link between the expression of FBN1 and two small molecule drugs (PAC-1 and PHA-793887). Overall, we suggest that these hub genes can be used as biomarkers and novel targets for GC. FBN1 may be associated with drug resistance in gastric cancer.