Immunotherapy For Gastric Cancer Research Articles

Immunotherapy for gastric cancer: Advances and challenges

AbstractGastric cancer (GC) ranks among the leading causes of cancer‐related mortality globally. Often, its initial stages manifest subtly, and the infrequency of routine screenings contributes to late diagnoses in many cases. Systemic treatments for GC include chemotherapy, targeted therapy, and immunotherapy, among which immunotherapy is the first‐line standard treatment for advanced GC. In recent years, immunotherapy has seen notable advancements, as evidenced by the Food and Drug Administration's approval of drugs such as nivolumab and pembrolizumab for GC treatment. Additionally, several other drugs are currently under rigorous preclinical and clinical investigation. This review aims to shed light on the recent advancements in immunotherapy for GC, particularly emphasizing the insights gained from phase 2/3 clinical trials that assess the efficacy, safety, and promise of various immunotherapeutic modalities, including immune checkpoint inhibitors, CAR‐T‐cell therapies, and cancer vaccines, in enhancing patient outcomes. Moreover, this review delves into the intricate immunological framework of GC, focusing on the tumor microenvironment, interactions among immune cells, and the roles of immune checkpoints such as PD‐L1. We also address the hurdles and prospective paths forward in the realm of immunotherapy for GC, offering fresh viewpoints on potential therapeutic approaches in this evolving domain.

Myeloid subsets impede the efficacy of anti-PD1 therapy in patients with advanced gastric cancer (WJOG10417GTR study).

Gastric cancer (GC) is one of the most common and deadly malignant diseases worldwide. Despite revolutionary advances, the therapeutic efficacy of anti-PD1/PDL1 monoclonal antibodies in advanced GC is still low due to the emergence of innate and acquired resistance to treatment. Myeloid cells represent the majority of human immune cells. Therefore, their increase, decrease, and abnormality could have a significant impact on the patient's immune system and the progression of cancer, and reprogramming, inhibiting, and eliminating the tumor-supportive types may improve the immunological situation and efficacy of immunotherapy. However, the significance of myeloid cells in anti-PD1/PDL1 therapy remains unclear in GC. In the WJOG10417GTR study on GC, we sought to identify myeloid determinants that could predict anti-PD1 therapeutic efficacy and also serve as potential therapeutic targets. We collected tumor tissues and peripheral blood from 96 patients with advanced GC before and 1 month after anti-PD1 nivolumab monotherapy, and the isolated whole leucocytes were analyzed by flow cytometry for various immune cell populations, including many myeloid subsets. Then, the relationship between the cellular levels and progression-free survival (PFS) or overall survival (OS) was statistically analyzed. We found that high levels of several myeloid subsets expressing molecules that have been targeted in drug discovery but not yet approved for clinical use were significantly associated with shorter PFS/OS as compared with low levels: PDL1+ and CTLA4+ myeloid subsets within tumors at baseline, PDL1+, B7H3+ and CD115+ myeloid subsets in peripheral blood at baseline, and LAG3+, CD155+ and CD115+ myeloid subsets in peripheral blood at post-treatment. This study revealed that these myeloid subsets are significant risk factors in nivolumab therapy for advanced GC. Targeting them may be useful as diagnostic biomarkers to predict potential anti-PD1 therapeutic efficacy, and also as therapeutic targets for accelerating the development of new drugs to improve clinical outcomes in immunotherapy for GC.

High-resolution subtyping of fibroblasts in gastric cancer reveals diversity among fibroblast subsets and an association between the MFAP5-fibroblast subset and immunotherapy.

Gastric cancer (GC) remains a global health threat due to frequent treatment failures caused by primary or acquired resistance. Although cancer-associated fibroblasts (CAFs) have been implicated in this process, it is still unclear which specific subtype(s) of CAFs hinder T-cell infiltration and promote resistance to immunotherapy. We analyzed the GC fibroblast atlas in detail by combining 63,955 single cells from 14 scRNA-seq datasets. We also performed RNA-seq data in a local GC cohort and examined 13 bulk RNA-seq datasets to understand the biological and clinical roles of different CAF subsets. Additionally, we conducted in vitro experiments to study the role of specific proteins in GC development. We identified a total of 17 fibroblast subsets in gastric cancer, nine of which did not fit into the existing CAFs classification. These subsets exhibited significant heterogeneity in distribution and biological characteristics (metabolism, cell-cell interactions, differentiation state), as well as clinical functions such as prognosis and response to immunotherapy. In particular, cluster 6 stood out for its high expression of MFAP5, CFD, and PI16; it was found to be negatively associated with both overall survival and response to immunotherapy in GC. This association was linked to an immunosuppressive microenvironment characterized by an increase in M2 macrophages but higher levels of T cell dysfunction and exclusion-a feature shared by tumors expressing MFAP5. Furthermore, the addition of human recombinant MFAP5 promoted proliferation and migration of HGC-27 cells by inducing the MFAP5/NOTCH1/HEY1 signaling pathway. We introduce a high-resolution GC fibroblast atlas. The 17 identified fibroblast clusters provide valuable opportunities for gaining deeper biological insights into the relationship between fibroblasts and GC development. Particularly, cluster 6 and its specific marker MFAP5 could serve as prognostic factors in GC and form a foundation for personalized therapeutic combinations to address primary resistance to ICIs.

IGF2BP3 boosts lactate generation to accelerate gastric cancer immune evasion.

The CD8+ T cells mediated antitumor immunity plays a critical function on gastric cancer (GC) immunotherapy. However, the mechanism of N6-methyladenosine (m6A) and lactate in GC immune microenvironment are still unclear. Here, present research investigated the role of Insulin like growth factor II mRNA binding protein 3 (IGF2BP3) in GC and its in-depth mechanisms in the antitumor immunity. Data illustrated that high IGF2BP3 level was associated to GC poor prognosis and tumor infiltration. Functional assays demonstrated that IGF2BP3 overexpression could promote the lactate accumulation, and impair the CD8+ T cells' antitumor immunity activity in co-culture system. Correspondingly, IGF2BP3 silencing enhanced the CD8+ T cells' antitumor immunity activity towards co-cultured GC cells. Mechanistically, IGF2BP3 could bind the m6A site on LDHA mRNA, thereby promoting its mRNA stability. Rescue assays elucidated that IGF2BP3/LDHA axis impaired the CD8+ T cells antitumor immunity by triggering lactate excess tumor microenvironment. In conclusion, our findings demonstrate that IGF2BP3 impairs the CD8+ T cells antitumor immunity by targeting LDHA/lactate axis, providing a novel therapeutic insight for GC immunotherapy.

Granzyme B PET/CT Imaging Evaluates Early Response to Immunotherapy in Gastric Cancer.

In several malignancies, only a limited number of patients respond to immune checkpoint inhibitors. Predicting and monitoring responses to these inhibitors represent an unmet clinical need. Here, we developed a PET/CT probe targeting granzyme B, [68Ga]Ga-NOTA-Gly-Gly-Gly-Ile-Glu-Pro-Asp-CHO (GSI), and aimed to investigate whether it can be used to monitor the effects of immune checkpoint inhibitors early in the course of therapy. Methods: Seventy-two patients with gastric cancer (stages III-IV) were recruited for [68Ga]Ga-DOTA-GSI PET/CT imaging after 2 or 3 cycles of the immunotherapy, and 40 patients were included in the final analysis. The SUVmax of primary tumors (SUVmax-t), SUVmax of metastatic lymph nodes (SUVmax-LN), and SUVmax of normal tissues (liver and blood pool) were measured, and their target-to-liver background ratio (TLR) and target-to-blood background ratio (TBR) were denoted for primary tumors as TLRtumor and TBRtumor and for metastatic lymph nodes as TLRLN and TBRLN, respectively. The treatment responses were assessed within 1 wk after full-course treatment according to RECIST version 1.1. Wilcoxon rank-sum tests were used to compare the PET/CT parameters between responders and nonresponders. Receiver operating characteristic curve analysis was used to assess the diagnostic efficacy of [68Ga]Ga-DOTA-GSI PET/CT parameters in identifying responders. Two-tailed P value of less than 0.05 was considered statistically significant. Results: We found that SUVmax-t, TLRtumor, TBRtumor, SUVmax-LN, and TBRLN were higher in responders than in nonresponders (2.49 ± 0.58 vs. 1.55 ± 0.48, P = 0.000; 2.24 ± 0.48 vs. 1.74 ± 0.67, P = 0.007; 1.38 ± 0.43 vs. 0.90 ± 0.23, P = 0.000; 2.24 ± 0.99 vs. 1.42 ± 0.55, P = 0.003; and 1.28 ± 0.68 vs. 0.83 ± 0.32, P = 0.012, respectively). According to receiver operating characteristic curve analysis, the area under the curve for SUVmax-t, TBRtumor, TLRtumor, SUVmax-LN, TLRLN, and TBRLN was 0.886, 0.866, 0.746, 0.772, 0.648, and 0.731, respectively. The threshold of SUVmax-t was 2.05, and its sensitivity and specificity were 81.0% and 84.2%, respectively. In addition, multivariate logistic regression indicated that TBRtumor was an independent predictor of treatment response (P = 0.03). Conclusion: Our results indicated that [68Ga]Ga-DOTA-GSI PET/CT is a promising tool for predicting early response to combined immunotherapy in gastric cancer patients.

Weitiao No. 3 (3) enhances the efficacy of anti-programmed cell death protein-1 immunotherapy by modulating the intestinal microbiota in an orthotopic model of gastric cancer mice.

To explore the effects of Weitiao No. 3 (3, WD-3) on anti-programmed cell death protein-1 (PD-1) immunotherapy in gastric cancer (GC). The intestinal microbiota was analyzed by 16S rDNA sequencing of fecal samples from three groups: healthy people (Health), GC patients (GC), and WD-3-treated GC patients (WD-3). Next, we established an orthotopic model of GC mice, which were treated with anti-PD-1, WD-3, or an inoculation of intestinal bacteria. Immune markers CD3, CD4, CD8, and forkhead box protein P3 (FOXP3), and the cell proliferation marker Ki67, were evaluated by immunohistochemistry. Cell apoptosis in GC tumors was assessed by terminal-deoxynucleotidyl-transferase-mediated deoxyuridine triphosphate nick end labeling staining. Enzyme-linked immunosorbent assays (ELISAs) were performed to analyze the serum levels of the following cytokines in GC mice: tumor necrosis factor (TNF)-α, interleukin (IL)-2, IL-6, IL-10, interferon (IFN)-γ, and transforming growth factor (TGF)-β. Sequencing data showed that there were significant differences in the composition of the gut microbial community among the three human groups. The gut bacteria in the three groups mainly comprised the phyla Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria. At the genus level, the relative abundances of Bifidobacterium and Coprococcus showed significant decreases in the GC group, and an obvious increase in the WD-3 group, compared with the Health group. Interestingly, the relative abundance of Saccharopolyspora was only detected in the WD-3 group. The results of in vivo experiments in GC mice showed that WD-3 or anti-PD-1 treatment increased the levels of CD3+, CD4+, and CD8+ T cells, but decreased the levels of FOXP3+ regulatory T cells. Furthermore, WD-3 or PD-1 antibody treatment inhibited proliferation and promoted apoptosis of GC tumor cells. ELISA analysis showed that WD-3 or PD-1 antibody treatment facilitated TNF-α, IL-2, and IFN-γ expression, while suppressing IL-6, IL-10, and TGF-β expression. Combination therapy with WD-3 and anti-PD-1 intensified all of these effects. WD-3 enhanced the immunotherapeutic efficacy of anti-PD-1 by modulating the intestinal microbiota in an orthotopic model of GC mice.

Molecular mechanisms of transmitted endoplasmic reticulum stress mediating immune escape of gastric cancer via PVR overexpression in TAMs

Gastric cancer (GC) is the fourth leading cause of cancer death worldwide. Due to the complex tumor microenvironment (TME), the efficacy of immunotherapy in GC has not met expectations. Malignant changes in the TME induce endoplasmic reticulum stress (ERS). ERS can be transmitted between tumor cells and tumor-associated macrophages (TAMs), promoting tumor immune escape, but the specific mechanism in GC remains unclear. We established a TAM model of transmitted ERS (TERS), and iTRAQ proteomic analysis identified overexpressed proteins. The overexpression of poliovirus receptor (PVR) was screened while flow cytometry and ELISA showed that PVR mediated the immunosuppressive function of TAMs by downregulating the proliferative activity and cytotoxicity of cocultured CD8+ T lymphocytes. With EMSA and dual-luciferase reporter assays, we confirmed that erythropoietin-producing hepatocellular receptor A2 (EphA2) affected PVR expression by increasing the transcriptional activity of activator protein-1 (AP-1). MFC cells were mixed with EphA2 knockdown or control RAW264.7 cells to establish subcutaneous tumor models with or without tunicamycin treatment in vivo. The vivo experiments revealed that ERS promoted subcutaneous xenograft growth, which was reversed by EphA2 knockdown. Clinically, GC patients with high expression of PVR and EphA2 tended to have an immunosuppressive TME, which were determined by immunohistochemical and immunofluorescence analyses. In conclusion, the transcriptional activity of AP-1 is upregulated in ERS-transmitted TAMs through EphA2 to increase PVR expression, which promotes immune escape in GC. Our study provides a new perspective on the role of ERS in tumor immunity.

Identifying the signature of NAD+ metabolism-related genes for immunotherapy of gastric cancer

NAD (Nicotinamide Adenine Dinucleotide) -related metabolic reprogramming in tumor cells involves multiple vital cellular processes. However, the role of NAD metabolism in immunity and the prognosis of gastric cancer (GC) remains not elucidated. Here we identified and clustered 33 NAD + metabolism-related genes (NMRGs) based on 808 GC samples from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Survival analysis between different groups found a poor prognosis in the GC patients with high NMRGs expression. Gene SGCE, APOD, and PPP1R14A were identified and performed high expression in GC samples, while the qRT-PCR results further confirmed that their expression levels in GC cell lines were significantly higher than those from normal human gastric mucosa epithelial cells. Based on the single-cell analysis, Gene SGCE, APOD, and PPP1R14A can potentially be novel biomarkers of tumor-associated fibroblasts (CAFs). In parallel, the proliferation and migration of GC cells were significantly hampered following the knockdown of SGCE, APOD, and PPP1R14A, particularly APOD, we confirmed that APOD knockdown can inhibit β-catenin and N-cadherin expression, while promote E-cadherin expression. This study unveils a novel NMRGs-related gene signature, highlighting APOD as a prognostic biomarker linked to the tumor microenvironment. APOD drives GC cell proliferation and metastasis through the Wnt/β-catenin/EMT signaling pathway, establishing it as a promising therapeutic target for GC patients.

Huang-Jin-Shuang-Shen Decoction promotes CD8+ T-cell-mediated anti-tumor immunity by regulating chemokine CXCL10 in gastric cancer

BackgroundResearch on immunotherapy for gastric cancer is currently receiving significant attention, with particular emphasis on the role of CD8+ T cells in anti-tumor immune responses. In recent years, the importance of the chemokine CXCL10 in promoting anti-tumor immunity has been increasingly recognized because it plays a crucial role in recruiting CD8+ T cells to the tumor microenvironment. The Huang-Jin-Shuang-Shen (HJSS) Decoction, a Chinese medicine, has been used as an adjuvant drug for gastric cancer chemotherapy. Its mechanism of action may be related to the activation of anti-tumor immunity. PurposeTo assess the role of the HJSS Decoction in regulating the immune microenvironment of gastric cancer and elucidate its mechanism. Study design/methodsUltra-high performance liquid chromatography Q Exactive-mass spectrometry was used to analyze the main components of the HJSS Decoction and evaluate the therapeutic effect of the HJSS Decoction synergized with 5-fluorouracil (5-FU) on gastric cancer. The proportions of CD8+ T cells and killing markers were determined using flow cytometry. Mechanisms of action and targets were screened using network pharmacology. The level of CXCL10 was detected using enzyme-linked immunosorbent assay and western blot, and nuclear factor kappa-light-chain-enhancer of activated B cells (NFκB) related signaling pathway was detected in vitro. The target function was validated by siRNA transfection. ResultsThe combination of HJSS Decoction and 5-FU demonstrated a synergistic effect in impeding the progression of subcutaneous gastric cancer. This was achieved through the facilitation of apoptosis and suppression of proliferation. Furthermore, HJSS Decoction exhibited the ability to enhance the population of CD8+ T cells and augment their cytotoxic capabilities, both in laboratory settings and in living organisms. Notably, HJSS Decoction upregulated the expression of CXCL10, and mechanistically, it activated the NFκB-related signaling pathway to initiate subsequent transcription of chemokines. ConclusionThe present study aimed to investigate the pharmacological mechanism of the HJSS Decoction and its potential clinical application in inhibiting gastric cancer in mice. HJSS Decoction can cooperate with 5-FU to inhibit gastric cancer, and the optimal dose is medium. HJSS Decoction exerts anti-tumor immunity by activating the NFκB-related signaling pathway and promoting the expression of CXCL10, which in turn recruits CD8+ T cells into the tumor immune microenvironment. Overall, these findings provide valuable evidence for the potential clinical application of HJSS Decoction.

T lymphocyte‑related immune response and immunotherapy in gastric cancer (Review).

Gastric cancer (GC) remains a global healthcare challenge because of its high incidence and poor prognosis. The efficacy of current chemotherapy regimens for advanced GC is limited. T cells, which have been implicated in the progression of GC, have a significant impact in the tumor microenvironment. With a more detailed understanding of the mechanisms underlying the cancer immunoediting process, immunotherapy may become a promising treatment option for patients with GC. Several clinical trials are currently investigating different mechanisms targeting the tumor immune response. The present review summarized T cell-involved immune responses and various immunotherapy strategies for GC.

Impact of clonal TP53 mutations with loss of heterozygosity on adjuvant chemotherapy and immunotherapy in gastric cancer

BackgroundThis study aimed to reveal the effect of TP53 status on clinical outcomes and underlying mechanism in gastric cancer (GC) patients.MethodsTP53 status was divided into three groups according to genome sequencing, namely clonal mutations with LOH (C-LOH), clonal diploid or subclonal mutations (CD-SC), and wild type (WT). The p53 protein activity was divided into over-expression (OE), Null and WT according to immunohistochemical staining. Four cohorts, including the TCGA, SMC, ZSHS and FUSCC cohort, were analyzed for association between TP53 mutation status and clinical outcomes and the underlying mechanism.ResultsIn TCGA cohort, TP53 CD-SC were associated with superior overall survival compared to TP53 C-LOH cases. GC patients could benefit from ACT only in TP53 CD-SC/ p53 OE and TP53/ p53 WT subgroups, and TP53 C-LOH subgroup demonstrated the worst response to pembrolizumab among three subgroups. Genomic and immunophenotypic deconvolution revealed that TP53 C-LOH, CD-SC and WT differed for genomic and immune-related features.ConclusionsTP53 C-LOH GCs with genomic instability and immune evasion phenotype have poor clinical outcomes in patients treated with ACT or immunotherapy.

Single-cell RNA Sequencing Analysis Reveals Cancer-associated Fibroblast Signature for Prediction of Clinical Outcomes and Immunotherapy in Gastric Cancer.

Gastric cancer (GC) is a significant worldwide health concern and is a leading cause of cancer-related mortality. Immunotherapy has arisen as a promising strategy to stimulate the patient's immune system in combating cancer cells. Nevertheless, the effectiveness of immunotherapy in individuals with gastric cancer (GC) is not yet optimal. Thus, it is crucial to discover biomarkers capable appof predicting the advantages of immunotherapy for tailored treatment. The tumor microenvironment (TME) and its constituents, including cancer-associated fibroblasts (CAFs), exert a substantial influence on immune responses and treatment outcomes. In this investigation, we utilized single-cell RNA sequencing to profile CAFs in GC and established a scoring method, referred to as the CAF score (CAFS), for the prediction of patient prognosis and response to immunotherapy. Through our analysis, we successfully identified distinct subgroups within CAFs based on CAF score (CAFS), namely CAFS-high and CAFS-low subgroups. Notably, we noted that individuals within the CAFS-high subgroup experienced a lessF favorable prognosis and displayed diminished responsiveness to immunotherapy in contrast to the CAFS low subgroup. Furthermore, we analyzed the mutation and immune characteristics of these subgroups, identifying differentially mutated genes and immune cell compositions. We established that CAFS could forecast treatment advantages in patients with gastric cancer, both for chemotherapy and immunotherapy. Its efficacy was additionally confirmed in contrast to other biomarkers, including Tumor Immune Dysfunction and Exclusion (TIDE) and Immunophenotypic Score (IPS). These findings emphasize the clinical relevance and potential utility of CAFS in guiding personalized treatment strategies for gastric cancer.

CD19+CD73+ B cells infiltration indicates poor prognosis and unfavorable responses to immunotherapy in gastric cancer

ObjectivesCluster of Differentiation 73 (CD73) is expressed on immune cells and plays a significant role in tumor inhibition by suppressing antitumor immunity. The objectives of this study were to explore the expression and functional mechanisms of CD73 on B cells in patients with gastric cancer (GC). MethodsThe prognostic significance of CD19+CD73+ B cells was evaluated in 390 GC patients through dual immunohistochemistry staining. Flow cytometry was employed to analyze the phenotype of the CD19 subpopulation using fresh tumor and non-tumor tissue samples from 8 GC patients. A bioinformatics analysis of CD19+CD73+ B cells was also performed within the scRNA-seq cohort, and the CD19+ B cell subtype was assessed using multiple immunofluorescence staining. ResultsThe infiltration of CD19+CD73+ B cells was observed to be elevated in gastric cancer (GC) tissue compared to normal tissues. A strong correlation was observed between high CD19+CD73+ B cell infiltration, poor overall survival, and diminished responsiveness to neoadjuvant immunotherapy in GC. These cells emerged as a novel subset of regulatory B cells (Bregs) linked to adenosine metabolism and the exhaustion of CD8+ T cells. The CD19+CD73+ B cells also correlated with the production of immunosuppressive cytokines IL-10 and TGFB1. Further analysis indicated an association between CD19+CD73+ B cells and advanced-stage GC. ConclusionsThe presence of CD19+CD73+ B cells in GC may serve as a prognostic indicator for clinical outcomes and a predictive marker for poor responsiveness to neoadjuvant immunotherapy. The correlation between the presence of CD19+CD73+ B cells and CD8+ T cell exhaustion, along with immunosuppression, highlights the tumor-promoting function of these cells.

Evaluating the efficacy of immunotherapy in gastric cancer: Insights from immune checkpoint inhibitors.

The emergence of immunotherapy, particularly immune checkpoint inhibitors (ICIs), represents a groundbreaking approach to treating gastric cancer (GC). However, the prognosis of GC patients receiving ICI treatment is influenced by various factors. This manuscript identified sarcopenia and myosteatosis as inde-pendent prognostic factors impacting the outcomes of GC patients treated with ICIs. Additionally, this study introduced a visual predictive model to estimate the prognosis of GC patients. If confirmed by further studies, this observation could provide valuable insights to propel the advancement of personalized clinical medicine and the integration of precision medicine practices.

A New Medical Evaluation for Gastric Cancer Patients to Increase the Success Rate of Immunotherapy: A 2024 Update.

Researchers have performed numerous studies on immunotherapy because of the high death rate associated with gastric cancer (GC). GC immunotherapy research has made tremendous progress, and we wanted to provide an update on this topic. On the basis of this update, we suggest performing a new medical evaluation before initiating immunotherapy in patients with GC to increase the success rate of immunotherapies. We propose that before patients start GC immunotherapy, they should be evaluated and given a score of one to two points for the following factors: immunopathological features, molecular and genomic features, potential consequences for bacterial pathogens, potential immunotherapeutic resistance and hyperprogressive illness, and the potential to use biomarkers to gauge their prognosis and immunotherapy responses to optimize immunotherapy following surgery. The proposed scoring system could also help in the diagnosis of GC. With all the advances in genetics, immunology, and microbiology, the diagnosis of GC could be improved, not changed. Currently, patients diagnosed with GC undergo surgical resection as the only permanent solution. Patients who meet the maximum score from the presented proposal could be eligible immediately after diagnosis for immunotherapy. Therefore, immunotherapy could be a first-line option for clinicians.

Integrated single-cell and bulk RNA sequencing analyses identify an immunotherapy nonresponse-related fibroblast signature in gastric cancer.

Factors that determine nonresponse to immune checkpoint inhibitor (ICI) remain unclear. The protumor activities of cancer-associated fibroblasts (CAFs) suggest that they are potential therapeutic targets for cancer treatment. There is, however, a lack of CAF-related signature in predicting response to immunotherapy in gastric cancer (GC). Single-cell RNA sequencing (scRNA-seq) and RNA sequencing (RNA-seq) data of GC immunotherapy were downloaded from the Gene Expression Omnibus database. Bulk RNA-seq data were obtained from The Cancer Genome Atlas. The R package 'Seurat' was used for scRNA-seq data processing. Cellular infiltration, receptor-ligand interactions, and evolutionary trajectory analysis were further explored. Differentially expressed genes affecting overall survival were obtained using the limma package. Weighted Gene Correlation Network Analysis was used to identify key modules of immunotherapy nonresponder. Prognostic model was constructed by univariate Cox and least absolute contraction and selection operator analysis using the intersection of activated fibroblast genes (AFGs) with key module genes. The differences in clinicopathological features, immune microenvironment, immunotherapy prediction, and sensitivity to small molecule agents between the high- and low-risk groups were further investigated. Based on scRNA-seq, we finally identified 20 AFGs associations with the prognosis of GC patients. AFGs' high expression levels were correlated with both poor prognosis and tumor progression. Three genes (FRZB, SPARC, and FKBP10) were identified as immunotherapy nonresponse-related fibroblast genes and used to construct the prognostic signature. This signature is an independent significant risk factor affecting the clinical outcomes of GC patients. Remarkably, there were more CD4 memory T cells, resting mast cells, and M2 macrophages infiltrating in the high-risk group, which was characterized by higher tumor immune exclusion. Moreover, patients with higher risk scores were more prone to not respond to immunotherapy but were more sensitive to various small molecule agents, such as memantine. In conclusion, this study constructed a fibroblast-associated ICI nonresponse gene signature, which could predict the response to immunotherapy. This study potentially revealed a novel way to overcome immune resistance in GC.

CircRHBDD1 promotes immune escape via IGF2BP2/PD-L1 signaling and acts as a nanotherapeutic target in gastric cancer

BackgroundCircular RNAs (circRNAs) have been implicated in the development and progression of gastric cancer (GC). However, it remains unclear whether dysregulated circRNA affects immune escape and the efficacy of immunotherapy in GC. Our aim is to investigate the molecular mechanism of circRNA affecting GC immunotherapy and identify effective molecular therapeutic targets.MethodsThe differential expression profile of circRNAs was established through circRNA sequencing, comparing three paired GC tissues with their adjacent non-cancerous gastric tissues. The expression level of circRHBDD1 in GC tissues was then assessed using quantitative reverse transcription polymerase chain reaction (qRT-PCR). The biological characteristics of circRHBDD1 were verified through a series of experiments, including agarose gel electrophoresis assays, RNase R treatment, and actinomycin D experiments. The prognostic value of circRHBDD1 in GC was evaluated by conducting both univariate and multivariate survival analyses. Furthermore, loss- and gain-of-function approaches were utilized to investigate the impact of circRHBDD1 on GC immune escape. RNA-sequencing, immunoprecipitation, flow cytometry, and methylated RNA immunoprecipitation (meRIP) analysis were performed to elucidate the underlying molecular mechanisms.ResultsWe discovered that circRHBDD1 exhibited remarkably high expression levels in GC tissues and cell lines. Notably, the high expression of circRHBDD1 was significantly correlated with poor overall survival and disease-free survival among GC patients. Both in vitro and in vivo experiments revealed that circRHBDD1 upregulated the expression of PD-L1 and impeded the infiltration of CD8+ T cells. Further, we found that circRHBDD1 binds to IGF2BP2, disrupting the interaction between E3 ligase TRIM25 and IGF2BP2, and ultimately inhibiting IGF2BP2 ubiquitination and degradation. Intriguingly, IGF2BP2 enhances PD-L1 mRNA stability through m6A modification. Additionally, we developed Poly (lactide-co-glycolic acid) (PLGA)-Polyethylene glycol (PEG)-based nanoparticles loaded with circRHBDD1 siRNA. In vivo experiments validated that the combination of PLGA-PEG(si-circRHBDD1) and anti-PD-1 offers a safe and efficacious nano-drug regimen for cancer immunotherapy.ConclusionOur results demonstrated that circRHBDD1 promoted GC immune escape by upregulating the expression of PD-L1 and reprogramming T cell-mediated immune response. Inhibition of circRHBDD1 expression could potentially enhance the response of GC patients to immunotherapy, thus improving treatment outcomes. Additionally, the development of a nanodrug delivery system provides a feasible approach for future clinical applications.

Construction and validation of a TTN mutation associated immune prognostic model for evaluating immune microenvironment and outcomes of gastric cancer: An observational study.

Gastric cancer (GC) is a prevalent form of cancer worldwide, and TTN (titin) mutations are frequently observed in GC. However, the association between TTN mutations and immunotherapy for GC remains unclear, necessitating the development of novel prognostic models. The prognostic value and potential mechanisms of TTN in stomach adenocarcinoma were evaluated by TCGA (The Cancer Genome Atlas)-stomach adenocarcinoma cohort analysis, and an immune prognostic model was constructed based on TTN status. We validated it using the GSE84433 dataset. We performed Gene Set Enrichment Analysis and screened for differentially expressed genes, and used lasso (least absolute shrinkage and selection operator) regression analysis to screen for survival genes to construct a multifactorial survival model. In addition, we evaluated the relative proportions of 22 immune cells using the CIBERSORT algorithm for immunogenicity analysis. Finally, we constructed the nomogram integrating immune prognostic model and other clinical factors. GESA showed enrichment of immune-related phenotypes in patients with TTN mutations. We constructed an immune prognostic model based on 16 genes could identify gastric cancer patients with higher risk of poor prognosis. Immuno-microenvironmental analysis showed increased infiltration of naive B cells, plasma cells, and monocyte in high-risk patients. In addition, Nomo plots predicted the probability of 1-year, 3-year, and 5-year OS (overall survival) in GC patients, showing good predictive performance. In this study, we identified that TTN gene may be a potential clinical biomarker for GC and TTN mutations may be a predictor of immunotherapy in patients. We constructed and validated a new model for prognosis of GC patients based on immune characteristics associated with TTN mutations. This study may provide potential therapeutic strategies for gastric cancer.

Cuproptosis-related gene DLAT is a biomarker of the prognosis and immune microenvironment of gastric cancer and affects the invasion and migration of cells.

Cuproptosis is a novel cell death dependent on mitochondrial respiration and regulated by copper. This study aimed to investigate the cuproptosis-related gene DLAT potential value in gastric cancer (GC). Bioinformatics was used to analyze DLAT expression. DLAT expression in GC cell lines was detected using qRT-PCR. Cell proliferation ability was assessed using CCK8 and cell cycle assay. Cell migration and invasion were assessed using wound healing and transwell assay. A prognostic assessment was performed through survival and Cox regression analysis. DLAT protein expression was analyzed through HPA immunohistochemistry. Biological functions and processes were analyzed through GO and KEGG enrichment analysis and PPI. Correlation with immune cell infiltration and immune checkpoint genes was analyzed for DLAT. DLAT expression was upregulated in GC tissues and cells and correlated with shorter survival for patients. Age, gender, histological typing, lymph node metastasis, and distant metastasis were identified as independent prognostic factors affecting OS in GC. DLAT protein was upregulated in GC. The biological functions and pathways enriched in DLAT were mainly linked to mitochondrial respiration and the TCA cycle. The expression of DLAT was found to be positively correlated with the infiltration of Th and Th2 immune cells and only positively correlated with the expression of the BTN2A1 immune checkpoint gene. DLAT has the potential to serve as a prognostic assessment factor in GC. The expression of DLAT was correlated with immune infiltration and tumor immune escape, providing a new target for immunotherapy of GC.

Role of TAP1 in the identification of immune-hot tumor microenvironment and its prognostic significance for immunotherapeutic efficacy in gastric carcinoma.

Gastric cancer (GC), a multifaceted gastrointestinal malignancy, is the fourth most prevalent contributor to cancer-related fatalities globally. As a member of the ATP-binding cassette (ABC) family, transporter associated with antigen processing 1 (TAP1) is crucial for conveying antigen peptides from the cytoplasm to the lumen of the endoplasmic reticulum and subsequently loading them onto the major histocompatibility complex (MHC) class I molecules. Recent studies have established the biological significance of TAP1 in upholding tumor survival and facilitating immune evasion by remodeling the tumor microenvironment (TME) and orchestrating immune infiltration. The study was conducted to elucidate the association of TAP1 expression with immunological characteristics, and sought to exploit the value of TAP1 as a biomarker reflecting the inflamed TME and immunotherapeutic response. RNA-sequencing profiles and clinical annotations were obtained from The Cancer Genome Atlas-stomach adenocarcinoma (TCGA-STAD) cohort and Gene Expression Omnibus (GEO) portal. Preprocessing was conducting using the limma package. Weighted gene co-expression network analysis (WGCNA) was used to identify gene modules and TAP1 co-expressed genes (CEGs) based on correlation patterns. Consensus clustering and silhouette analysis determined the optimal number of TAP1-related groups. Gene expression profiles were integrated and classified using the pamr package. The Estimation of STromal and Immune cells in MAlignant Tumors using Expression data (ESTIMATE) algorithm and single-sample gene set enrichment analysis (ssGSEA) were used to evaluate immunological characteristics. Differential expression analysis was conducted using the limma package. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Single-cell RNA sequencing (scRNA-seq) datasets were analyzed using the Seurat toolkit to characterize cell types. Within this investigation, no significant differences in TAP1 expression were observed among patients exhibiting various clinicopathological features, indicating that TAP1 expression was not specific to molecular subtypes. Subsequent analysis revealed a positive correlation between TAP1 and diverse immunological traits, encompassing immunomodulators, tumor-infiltrating immune cells, as well as immune checkpoints across multiple datasets. Besides, within a GC immunotherapy cohort, individuals displaying high TAP1 expression demonstrated an increased likelihood of achieving complete remission (CR) post-treatment, suggesting heightened sensitivity to immunotherapy. In the clinical cohort, TAP1 overexpression in GC patients was positively correlated with CD8. TAP1 appears linked to an inflamed TME and serves as a prospective biomarker for discerning immunological attributes and gauging immunotherapeutic responses in GC, particularly in identifying immune-reactive tumors.