Association between gene expression signatures and clinical outcomes of pembrolizumab versus paclitaxel in advanced gastric cancer: exploratory analysis from the randomized, controlled, phase III KEYNOTE-061 trial

USP14-IMP2-CXCL2 axis in tumor-associated macrophages facilitates resistance to anti-PD-1 therapy in gastric cancer by recruiting myeloid-derived suppressor cells

Resistance to anti-PD-1 therapy remains a significant challenge in gastric cancer (GC) treatment. Here, we revealed that the USP14-IMP2-CXCL2 axis in tumor-associated macrophages (TAMs) drove resistance by recruiting myeloid-derived suppressor cells (MDSCs). Endoscopic biopsy samples were obtained from patients with inoperable GC who were candidates for anti-PD-1 therapy. Single-cell RNA sequencing (scRNA-seq) analysis showed a higher prevalence of USP14+ TAMs in therapy-resistant cases, where USP14 was linked to the immunosuppressive phenotype of TAMs. Clinically, GC samples with elevated USP14+ TAM infiltration exhibited decreased CD8+ T cell presence and increased MDSC infiltration. In vivo experiments further confirmed that USP14+ TAMs facilitated resistance to anti-PD-1 therapy in GC, reduced the infiltration of CD8+ T cells, and significantly increased the infiltration of MDSCs. In particular, USP14+ TAMs markedly enhanced the recruitment of MDSCs into the GC microenvironment through the secretion of CXCL2. Mechanistically, USP14 stabilized the m6A reader IMP2 through deubiquitination, thus enhancing CXCL2 expression and secretion. Conversely, the E3 ligase RNF40 facilitated IMP2 degradation via increasing its ubiquitination, with USP14 and RNF40 dynamically balancing IMP2's protein abundance. Furthermore, animal experiments demonstrated that targeted intervention of USP14 markedly enhanced the sensitivity of GC to anti-PD-1 therapy. This study provided a comprehensive exploration of USP14's oncogenic roles in TAMs, suggesting a novel strategy to enhance the efficacy of anti-PD-1 therapy by inhibiting the USP14/IMP2/CXCL2 signaling axis in GC.

A review on pancreatic duct stents: materials and emerging trends

Pancreatic duct strictures, which can arise from trauma, inflammation, or malignancy, often result in complications such as duct obstruction, pancreatic parenchymal hypertension, and ischemia. Endoscopic stenting is an effective therapeutic approach for managing these strictures. However, traditional plastic pancreatic duct stents fail to conform to the physiological curvature of the pancreas, while metal pancreatic duct stents with flared ends reduce migration but are associated with complications such as de novo strictures. Additionally, plastic and metal pancreatic duct stents require surgical removal. Whereas biodegradable pancreatic duct stents present a promising alternative due to their superior biocompatibility and ability to decompose into non-toxic materials, potentially eliminating the need for additional surgeries. Despite these advantages, biodegradable pancreatic duct stents remain in the experiment stage. This review assesses current materials of pancreatic duct stents, and emphasizes recent advancements in biodegradable options and emerging trends in clinical applications.

Efficacy and safety of pembrolizumab in advanced gastric and gastroesophageal junction cancer: a systematic review and meta-analysis

BACKGROUND

Pembrolizumab, a PD-1 inhibitor, has shown potential for treating advanced gastric and gastroesophageal junction (GEJ) cancer. This meta-analysis evaluates its efficacy and safety, alone or combined with chemotherapy, in this population.

METHODS

A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines. Databases including PubMed, Embase, the Cochrane Central Register of Controlled Trials, and Web of Science were searched up to October 31, 2024. Twelve studies comprising 4,069 patients were included. The primary outcomes were overall survival (OS) and progression-free survival (PFS); secondary outcomes included objective response rate (ORR), adverse events (AEs), and grade ≥ 3 AEs. Effect sizes were calculated using mean differences (MDs) and odds ratios (ORs) with 95% confidence intervals (CIs).

RESULTS

Pembrolizumab combined with chemotherapy significantly improved OS (MD = 1.92 months; 95% CI: 0.94 to 2.91) and ORR (MD = 11.05%; 95% CI: 6.29 to 15.82) compared to chemotherapy alone. Pembrolizumab monotherapy did not show a significant effect on OS (MD = 0.24 months; 95% CI: -1.15 to 1.63) and was associated with a significant reduction in PFS (MD = -2.28 months; 95% CI: -2.85 to -1.71) compared to chemotherapy alone. For safety, pembrolizumab monotherapy significantly reduced the risk of AEs (OR = 0.68; 95% CI: 0.57 to 0.81) and grade ≥ 3 AEs (OR = 0.39; 95% CI: 0.30 to 0.51) compared to chemotherapy. Pembrolizumab combined with chemotherapy did not significantly alter the risk of AEs (OR = 1.01; 95% CI: 0.90 to 1.13) or grade ≥ 3 AEs (OR = 1.12; 95% CI: 0.99 to 1.27) compared to chemotherapy alone.

CONCLUSION

Pembrolizumab combined with chemotherapy improves survival and response rates with a manageable safety profile in advanced gastric and GEJ cancers. Monotherapy shows limited efficacy, highlighting the need for combination strategies and patient selection.

N6-methyladenosine modification of 3'tRF-AlaAGC impairs PD-1 blockade efficacy by promoting lactic acid accumulation in the tumor microenvironment of gastric carcinoma

The balance between CD8+ T cells and regulatory T (Treg) cells in the tumor microenvironment (TME) plays a crucial role in the immune checkpoint inhibition (ICI) therapy in gastric carcinoma (GC). However, related factors leading to the disturbance of TME and resistance to ICI therapy remain unknown. In this study, we applied N6-methyladenosine (m6A) small RNA Epitranscriptomic Microarray and screened out 3'tRF-AlaAGC based on its highest differential expression level and lowest inter-group variance. N6-methyladenosine modification significantly enhanced the stability of 3'tRF-AlaAGC, which strengthened glycolysis and lactic acid (LA) production in GC cells by binding to PTBP1 (Polypyrimidine Tract Binding Protein 1). In the peritoneal GC implantation model established in huPBMC-NCG mice, 3'tRF-AlaAGC significantly increased the proportion of PD1+ Treg cells. Furthermore, in high-LA environments driven by glucose consumption of GC cells, Treg cells actively uptake LA through MCT1, facilitating NFAT1 translocation into the nucleus and enhancing PD1 expression, whereas PD1 expression by effector T cell is diminished. Meanwhile, T cell suppression assays were performed under low-LA or high-LA conditions, and the proliferation of CD8+ T cells was dampened by adding Sintilimab in a high-LA but not in a low-LA environment, suggesting the preferential activation of PD1+ Treg cell. These findings deciphered the complexities of the immune microenvironment in GC, providing prospects for identifying robust biomarkers that could improve the evaluation of therapeutic effectiveness and prognosis in immune therapy for GC.

Monocyte-related markers as predictors of immune checkpoint inhibitor efficacy and immune-related adverse events: a systematic review and meta-analysis

The efficacy and off-target effects of immune checkpoint inhibitors (ICI) in cancer treatment vary among patients. Monocytes likely contribute to this heterogeneous response due to their crucial role in immune homeostasis. We conducted a systematic review and meta-analysis to evaluate the impact of monocytes on ICI efficacy and immune-related adverse events (irAEs) in patients with cancer. We systematically searched PubMed, Web of Science, and Embase for clinical studies from January 2000 to December 2023. Articles were included if they mentioned cancer, ICI, monocytes, or any monocyte-related terminology. Animal studies and studies where ICIs were combined with other biologics were excluded, except for studies where two ICIs were used. This systematic review was registered with PROSPERO (CRD42023396297) prior to data extraction and analysis. Monocyte-related markers, such as absolute monocyte count (AMC), monocyte/lymphocyte ratio (MLR), specific monocyte subpopulations, and m-MDSCs were assessed in relation to ICI efficacy and safety. Bayesian meta-analysis was conducted for AMC and MLR. The risk of bias assessment was done using the Cochrane-ROBINS-I tool. Out of 5787 studies identified in our search, 155 eligible studies report peripheral blood monocyte-related markers as predictors of response to ICI, and 32 of these studies describe irAEs. Overall, based on 63 studies, a high MLR was a prognostic biomarker for short progression-free survival (PFS) and overall survival (OS) hazard ratio (HR): 1.5 (95% CI: 1.21-1.88) and 1.52 (95% CI:1.13-2.08), respectively. The increased percentage of classical monocytes was an unfavorable predictor of survival, while low baseline rates of monocytic myeloid-derived suppressor cells (m-MDSCs) were favorable. Elevated intermediate monocyte frequencies were associated but not significantly correlated with the development of irAEs. Baseline monocyte phenotyping may serve as a composite biomarker of response to ICI; however, more data is needed regarding irAEs. Monocyte-related variables may aid in risk assessment and treatment decision strategies for patients receiving ICI in terms of both efficacy and safety.

Overcoming immunotherapy resistance in gastric cancer: insights into mechanisms and emerging strategies

Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with limited treatment options in advanced stages. Immunotherapy, particularly immune checkpoint inhibitors (ICIs) targeting PD1/PD-L1, has emerged as a promising therapeutic approach. However, a significant proportion of patients exhibit primary or acquired resistance, limiting the overall efficacy of immunotherapy. This review provides a comprehensive analysis of the mechanisms underlying immunotherapy resistance in GC, including the role of the tumor immune microenvironment, dynamic PD-L1 expression, compensatory activation of other immune checkpoints, and tumor genomic instability. Furthermore, the review explores GC-specific factors such as molecular subtypes, unique immune evasion mechanisms, and the impact of Helicobacter pylori infection. We also discuss emerging strategies to overcome resistance, including combination therapies, novel immunotherapeutic approaches, and personalized treatment strategies based on tumor genomics and the immune microenvironment. By highlighting these key areas, this review aims to inform future research directions and clinical practice, ultimately improving outcomes for GC patients undergoing immunotherapy.

Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma

Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly precise treatment options. We downloaded the multiomics data of STAD patients in The Cancer Genome Atlas (TCGA)-STAD cohort, which included mRNA, microRNA, long non-coding RNA, somatic mutation, and DNA methylation data, from the sxdyc website. We synthesized the multiomics data of patients with STAD using 10 clustering methods, construct a consensus machine learning-driven signature (CMLS)-related prognostic models by combining 10 machine learning methods, and evaluated the prognosis models using the C-index. The prognostic relationship between CMLS and STAD was assessed using Kaplan-Meier curves, and the independent prognostic value of CMLS was determined by univariate and multivariate regression analyses. we also evaluated the immune characteristics, immunotherapy response, and drug sensitivity of different CMLS groups. The results of the multiomics analysis classified STAD into three subtypes, with CS1 resulting in the best survival outcome. In total, 10 hub genes (CES3, AHCYL2, APOD, EFEMP1, CYP1B1, ASPN, CPE, CLIP3, MAP1B, and DKK1) were screened and constructed the CMLS was significantly correlated with prognosis in patients with STAD and was an independent prognostic factor for patients with STAD. Using the CMLS risk score, all patients were divided into a high CMLS group and a low CMLS group. Patients in the low-CMLS group had better survival, more enriched immune cells, and higher tumor mutation load scores, suggesting better immunotherapy responsiveness and a possible "hot tumor" phenotype. Patients in the high-CMLS group had a significantly poorer prognosis and were less sensitive to immunotherapy but were likely to benefit more from chemotherapy and targeted therapy. In this study, 10 clustering methods and 10 machine learning methods were combined to analyze the multiomics of STAD, classify STAD into three subtypes, and constructed CMLS-related prognostic model features, which are important for accurate management and effective treatment of STAD.

Design, synthesis and biological evaluation of plant-derived miliusol derivatives achieve TNBC profound regression in vivo

Triple-negative breast cancer has become a major problem in clinical treatment due to its high heterogeneity, and Plant-derived drug discovery has been the focus of attention for novel anti-tumor therapeutics. In this study, Miliusol, a natural product isolated from the rarely reported plant Miliusa tenuistipitata, was identified as the lead compound, and 25 miliusol derivatives were designed and synthesized under antiproliferative activity guidance. The results revealed that ZMF-24 was demonstrated to have potent anti-TNBC proliferation with IC50 values of 0.22 μM and 0.44 μM in BT-549 cells and MDA-MB-231 cells respectively with low cytotoxicity to MCF10A cells, and could significantly downregulate proliferation and migration markers. Through RNAseq analysis, molecular docking and CETSA experiment, we found that ZMF-24 could inhibit Eukaryotic translation initiation factor 3 subunit D (EIF3D) that further disrupted the energy supply of TNBC by inhibiting glycolysis, induced profound TNBC apoptosis by stimulating persistent ER stress. Importantly, ZMF-24 exhibited remarkable anti-proliferation and anti-metastasis potential in nude mice xenograft TNBC model without obvious toxicity. Collectively, the findings demonstrate ZMF-24 has significant potential as a potent chemotherapy agent against triple-negative breast cancer.

Anoikis-Related Long Non-Coding RNA Signatures to Predict Prognosis and Immune Infiltration of Gastric Cancer

Anoikis is a distinct type of programmed cell death and a unique mechanism for tumor progress. However, its exact function in gastric cancer (GC) remains unknown. This study aims to investigate the function of anoikis-related lncRNA (ar-lncRNA) in the prognosis of GC and its immunological infiltration. The ar-lncRNAs were derived from RNA sequencing data and associated clinical information obtained from The Cancer Genome Atlas. Pearson correlation analysis, differential screening, LASSO and Cox regression were utilized to identify the typical ar-lncRNAs with prognostic significance, and the corresponding risk model was constructed, respectively. Comprehensive methods were employed to assess the clinical characteristics of the prediction model, ensuring the accuracy of the prediction results. Further analysis was conducted on the relationship between immune microenvironment and risk features, and sensitivity predictions were made about anticancer medicines. A risk model was built according to seven selected ar-lncRNAs. The model was validated and the calibration plots were highly consistent in validating nomogram predictions. Further analyses revealed the great accuracy of the model and its ability to serve as a stand-alone GC prognostic factor. We subsequently disclosed that high-risk groups display significant enrichment in pathways related to tumors and the immune system. Additionally, in tumor immunoassays, notable variations in immune infiltrates and checkpoints were noted between different risk groups. This study proposes, for the first time, that prognostic signatures of ar-lncRNA can be established in GC. These signatures accurately predict the prognosis of GC and offer potential biomarkers, suggesting new avenues for basic research, prognosis prediction and personalized diagnosis and treatment of GC.

Gastric cancer immunosuppressive microenvironment heterogeneity: implications for therapy development

Although immunotherapy has revolutionized solid tumor treatment, durable responses in gastric cancer (GC) remain limited. The heterogeneous tumor microenvironment (TME) facilitates immune evasion, contributing to resistance to conventional and immune therapies. Recent studies have highlighted how specific TME components in GC acquire immune escape capabilities through cancer-specific factors. Understanding the underlying molecular mechanisms and targeting the immunosuppressive TME will enhance immunotherapy efficacy and patient outcomes. This review summarizes recent advances in GC TME research and explores the role of the immune-suppressive system as a context-specific determinant. We also provide insights into potential treatments beyond checkpoint inhibition.

Myeloid-Derived Suppressor Cells: Therapeutic Target for Gastrointestinal Cancers

Gastrointestinal cancers represent one of the more challenging cancers to treat. Current strategies to cure and control gastrointestinal (GI) cancers like surgery, radiation, chemotherapy, and immunotherapy have met with limited success, and research has turned towards further characterizing the tumor microenvironment to develop novel therapeutics. Myeloid-derived suppressor cells (MDSCs) have emerged as crucial drivers of pathogenesis and progression within the tumor microenvironment in GI malignancies. Many MDSCs clinical targets have been defined in preclinical models, that potentially play an integral role in blocking recruitment and expansion, promoting MDSC differentiation into mature myeloid cells, depleting existing MDSCs, altering MDSC metabolic pathways, and directly inhibiting MDSC function. This review article analyzes the role of MDSCs in GI cancers as viable therapeutic targets for gastrointestinal malignancies and reviews the existing clinical trial landscape of recently completed and ongoing clinical studies testing novel therapeutics in GI cancers.

Predictive Biomarkers for Immunotherapy in Gastric Cancer: Current Status and Emerging Prospects

Gastric cancer presents substantial management challenges, and the advent of immunotherapy has ignited renewed hope among patients. Nevertheless, a significant proportion of patients do not respond to immunotherapy, and adverse events associated with immunotherapy also occur on occasion, underscoring the imperative to identify suitable candidates for treatment. Several biomarkers, including programmed death ligand-1 expression, tumor mutation burden, mismatch repair status, Epstein-Barr Virus infection, circulating tumor DNA, and tumor-infiltrating lymphocytes, have demonstrated potential in predicting the effectiveness of immunotherapy in gastric cancer. However, the quest for the optimal predictive biomarker for gastric cancer immunotherapy remains challenging, as each biomarker carries its own limitations. Recently, multi-omics technologies have emerged as promising platforms for discovering novel biomarkers that may help in selecting gastric cancer patients likely to respond to immunotherapy. The identification of reliable predictive biomarkers for immunotherapy in gastric cancer holds the promise of enhancing patient selection and improving treatment outcomes. In this review, we aim to provide an overview of clinically established biomarkers of immunotherapy in gastric cancer. Additionally, we introduce newly reported biomarkers based on multi-omics studies in the context of gastric cancer immunotherapy, thereby contributing to the ongoing efforts to refine patient stratification and treatment strategies.

Transarterial Chemoembolization Plus Sorafenib versus Transarterial Chemoembolization Alone for Advanced Hepatocellular Carcinoma: An Umbrella Review of Meta-Analyses and Systematic Reviews

BACKGROUND

Sorafenib is the standard treatment for most cases of advanced hepatocellular carcinoma (HCC), based on Western and Eastern clinical guidelines. Thus, an increasing number of transarterial chemoembolization (TACE) plus sorafenib combination therapies have been used in clinical practice. In addition, several systematic reviews and meta-analyses have explored the efficacy and safety of the combination of TACE and sorafenib. Therefore, we performed an umbrella review to summarize and evaluate these evidence-based studies.

METHODS

PubMed, Embase, Cochrane Library, and Web of Science databases were searched up to June 1, 2023. All meta-analyses that evaluated the effect of TACE plus sorafenib on HCC were considered eligible. The quality of the included meta-analyses was evaluated by AMSTAR2 (A Measurement Tool to Assess Systematic Reviews). The quality of evidence per association provided in the meta-analyses was rated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE). This study was registered with PROSPERO (Registration ID: CRD42023420417).

RESULTS

We included 12 meta-analyses, including randomized clinical trials, cohort studies, and observational studies. A total of 44 associations with overall survival, survival rate, time to disease progression, overall response rate, disease control rate, and adverse events were evaluated in this umbrella review. The quality of most associations ranged from low to very low, indicating that flaws were significant in the current meta-analyses.

CONCLUSION

This umbrella review identified beneficial associations between TACE and sorafenib combination therapy in advanced HCC. However, owing to the low certainty of the evidence, clinicians should interpret our results with caution when applying them in clinical practice, and high-quality studies are required in the future to confirm our results.

The diagnostic and prognostic value of tsRNAs in gastric cancers: a systematic review and meta-analysis

BACKGROUND

Gastric cancer (GC) is one of the most common types of cancer worldwide. Recent studies have shown that tsRNAs play important roles in GC and that changes in the expression levels of tsRNAs can be used for GC diagnosis and treatment response prediction.

RESEARCH DESIGN AND METHODS

Hazard ratios (HRs), odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the correlation between tsRNA expression and prognosis and other clinicopathologic features of GC patients. The sensitivity, specificity, area under the receiver operating characteristic curve (AUC) and diagnostic odds ratio (DOR) were analyzed to evaluate the diagnostic value of tsRNAs.

RESULTS

The results showed that patients with tsRNA upregulation had a poor prognosis (HR = 2.48, 95% CI: 1.85-3.34), while patients with tsRNA downregulation had a favorable prognosis (HR = 0.55, 95% CI: 0.31-0.98). In addition, tsRNA expression was significantly correlated with various clinicopathological features in patients with GC. Finally, in diagnostic studies, GC-related tsRNAs could differentiate healthy controls (AUC = 0.81, DOR = 7.74) from patients with inflammation (AUC = 0.74, DOR = 4.44).

CONCLUSIONS

tsRNAs have potential clinical application in GC diagnosis and prognosis evaluation. It is necessary to further assess and verify the practicability and feasibility of additional specific tsRNAs as GC markers in the future.