Comparison of gastric cancer survival after R0 resection in the US and China

Long intergenic noncoding RNA for IGF2BP2 stability suppresses gastric cancer cell apoptosis by inhibiting the maturation of microRNA-34a

The oncogenic role of long intergenic noncoding RNA for IGF2BP2 stability (LINRIS) has been reported in colorectal cancer. This research aimed to study its potential involvement in gastric cancer (GC). In this study, paired GC and non-tumor tissues were obtained from 64 GC patients, and the levels of LINRIS, mature microRNA-34a (miR-34a), and miR-34a precursor in these tissues were measured with RT-qPCR. Linear regression was used to analyze their correlations. The role of LINRIS overexpression and siRNA silencing in regulating the maturation of miR-34a was analyzed by RT-qPCR. Cell apoptosis was studied with flow cytometry. It was observed that LINRIS was overexpressed in GC and showed a negative correlation with mature miR-34a, but not miR-34a precursor. In GC cells, LINRIS siRNA silencing upregulated mature miR-34a level, but not miR-34a precursor level. LINRIS overexpression downregulated miR-34a level. Cell apoptosis analysis showed that LINRIS siRNA silencing and miR-34a overexpression promoted GC cell apoptosis and suppressed cell migration and invasion, while LINRIS overexpression suppressed cell apoptosis and enhanced cell migration and invasion. In addition, the effect of LINRIS overexpression was reversed by miR-34a overexpression. Therefore, LINRIS siRNA silencing in GC may promote cell apoptosis by promoting miR-34a maturation.

An exploratory clinical study of β-glucan combined with camrelizumab and SOX chemotherapy as first-line treatment for advanced gastric adenocarcinoma

Background

β-glucan has been reported to be a potential natural immune modulator for tumor growth inhibition. We aimed to evaluate the efficacy and safety of β-glucan plus immunotherapy and chemotherapy in the first-line treatment of advanced gastric adenocarcinoma.

Methods

This is a phase IB, prospective, single-arm, investigator-initiated trail. Advanced gastric adenocarcinoma patients received β-glucan, camrelizumab, oxaliplatin, oral S-1 every 3 weeks. The curative effect was evaluated every 2 cycles. The primary endpoints were objective response rate (ORR) and safety, with secondary endpoints were median progression-free survival (mPFS) and median overall survival (mOS). The exploratory endpoint explored biomarkers of response to treatment efficacy.

Results

A total of 30 patients had been enrolled, including 20 (66.7%) males and all patients with an ECOG PS score of ≥1. The ORR was 60%, the mPFS was 10.4 months (95% confidence interval [CI], 9.52-11.27), the mOS was 14.0 months (95% CI, 11.09-16.91). A total of 19 patients (63.3%) had TRAEs, with 9 patients (30%) with grade ≥ 3. The most common TRAEs were nausea (53.3%). After 2 cycles of treatment, the levels of IL-2, IFN-γ and CD4+ T cells significantly increased (P < 0.05). Furthermore, biomarker analysis indicated that patient with better response and longer OS exhibited lower GZMA expression at baseline serum.

Conclusions

This preliminary study demonstrates that β-glucan plus camrelizumab and SOX chemotherapy offers favorable efficacy and a manageable safety profile in patients with advanced gastric adenocarcinoma, and further studies are needed to verify its efficacy and safety.

Clinical Trial Registration

Chinese Clinical Trials Registry, identifier ChiCTR2100044088.

Inflammatory status predicts prognosis in patients with gastric cancer with early pyloric stenosis who underwent radical resection: A propensity score‑matching analysis

The inflammatory status of patients is closely related to their nutritional status, and the impact of inflammatory status on patients with pyloric stenosis remains unclear. The present study aimed to investigate the impact of inflammatory status on the prognosis of patients with gastric cancer with early pyloric stenosis who underwent radical resection. A retrospective analysis included 242 patients with gastric cancer who underwent radical resection at the Affiliated Hospital of Southwest Medical University between July 2016 and December 2020. All patients were diagnosed with early pyloric stenosis. Correlation analysis was used to assess variations among different factors, and survival analysis was conducted to evaluate differences in overall survival (OS). To identify independent prognostic indicators, both univariate and multivariate Cox regression analyses were performed, addressing potential multicollinearity using Lasso analysis. Propensity score matching (PSM) was employed to eliminate potential confounding factors. Additionally, a prognostic risk model and nomogram based on inflammatory indicators were developed to comprehensively explore their impact on prognosis. Initial survival analysis revealed significant associations between neutrophil-to-lymphocyte ratio (NLR; χ2=10.522, P<0.001), systemic immune-inflammation index (SII; χ2=6.733, P=0.025), systemic inflammation response index (SIRI; χ2=15.490, P<0.001) and OS of the patients, while there was no significant survival difference among patients with different platelet-to-lymphocyte ratio (PLR; χ2=2.561, P=0.050). SIRI not only had the highest area under the curve but was also found to be an independent prognostic indicator (hazard ratio=1.851, P=0.046) in the present study. Following PSM on SIRI, a total of 174 patients were included in the subsequent analysis. Time-receiver operating characteristic and survival curves for SIRI after PSM consistently demonstrated its robust prognostic predictive capability. Furthermore, the prognostic risk model based on SIRI and the nomogram incorporating SIRI both exhibited high prognostic value. Inflammatory status was significantly associated with the prognosis of patients with gastric cancer with early pyloric stenosis who underwent radical resection. The NLR, SII and SIRI could all predict patient outcomes. Moreover, SIRI exhibited the highest prognostic value among the inflammatory indices and has been identified as an independent prognostic factor in the present study.

Neutrophil extracellular traps-related lncRNAs prognostic signature for gastric cancer and immune infiltration: potential biomarkers for predicting overall survival and clinical therapy

Gastric cancer (GC) is one of the most common digestive tract malignant tumors in the world. At the time of initial diagnosis, it frequently presents with local or distant metastasis, contributing to poor prognosis in patients. Neutrophil extracellular traps (NETs) constitute a mechanism employed by neutrophils that is intricately associated with tumor progression, prognosis, and response to immunotherapy and chemotherapy. Despite this, the specific involvement of NETs-related long non-coding RNAs (lncRNAs) in gastric cancer remains unclear. A prognostic model for NETs-related lncRNAs was constructed through correlation analysis, COX regression analysis, and least absolute shrinkage and selection operator regression (LASSO) analysis. The predictive performance of the model was assessed using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, facilitating the exploration of the relationship between disease onset and prognosis in gastric cancer. Additionally, differences in the tumor microenvironment and response to immunotherapy among gastric cancer patients across high- and low-risk groups were analyzed. Furthermore, a prognostic nomogram integrating the risk score with relevant clinicopathological parameters was developed. The prognostic prediction model for gastric cancer, derived from NETs-related lncRNAs in this study, demonstrates robust prognostic capabilities, serving as a valuable adjunct to traditional tumor staging. This model holds promise in offering novel guidelines for the precise treatment of gastric cancer, thereby potentially improving patient outcomes.

FUT11 expression in gastric cancer: its prognostic significance and role in immune regulation

BACKGROUND

Gastric cancer (GC) is a malignant digestive tract tumor with a high recurrence rate and poor prognosis. Fucosylation is important in tumor glycosylation, in which the key enzyme is fucosyltransferase (FUT). FUT11 is a member of the fucosyltransferase family and has been closely associated with the development of multiple cancers. However, the specific relationship between FUT11 and GC prognosis and its molecular mechanism has not been fully studied. This study explored FUT11 expression, clinical correlation, and its role in GC occurrence and development to deepen understanding of its function.

METHODS

FUT11 expression in 33 cancers was preliminarily analyzed using the Tumor Immunoassay Resource (TIMER2.0) database. FUT11 expression in GC was evaluated using The Cancer Genome Atlas stomach adenocarcinoma (TCGA-STAD) and Gene Expression Profiling Interactive Analysis (GEPIA2) data and verified using the Gene Expression Omnibus (GEO) GSE65801 dataset. Furthermore, we studied the survival prognosis of FUT11 in GC and analyzed its effect on the survival rate of patients with GC using the KM-plotter. We also performed COX regression analysis on TCGA GC clinical data and analyzed FUT11 expression in the pathway using the STRING and LinkedOmics databases. Moreover, the relationship between FUT11 and GC immune infiltration level was examined, and the Kaplan-Meier survival analysis diagram was constructed. The FUT11 genetic variation information was retrieved using cBioPortal, and its drug sensitivity was analyzed using CellMiner. Finally, differential FUT11 expression in GC tissues was verified using immunohistochemistry.

RESULTS

The data mining and analysis demonstrated that FUT11 expression was abnormally elevated in GC tissues and correlated with poor patient prognosis. The FUT11 expression level was an independent prognostic factor for GC. The difference in FUT11 expression level resulted in different degrees of immune cell infiltration in the patients with GC, which might regulate the tumor microenvironment. FUT11 affected GC development by participating in cancer pathways such as PI3K-AKT, neuroactive ligand-receptor, and MAPK. Immunohistochemical staining revealed that FUT11 was highly expressed in GC.

CONCLUSIONS

This study revealed that FUT11 expression is significantly increased in GC tissues. This increase is associated with poor prognosis and might affect immune regulation. FUT11 might have immunological and targeted therapeutic value, providing a new approach to GC treatment.

Development and validation of a prognostic immunoinflammatory index for patients with gastric cancer

BACKGROUND

Studies have demonstrated the influence of immunity and inflammation on the development of tumors. Although single biomarkers of immunity and inflammation have been shown to be clinically predictive, the use of biomarkers integrating both to predict prognosis in patients with gastric cancer remains to be investigated.

AIM

To investigate the prognostic and clinical significance of inflammatory biomarkers and lymphocytes in patients undergoing surgical treatment for gastric cancer.

METHODS

Univariate COX regression analysis was performed to identify potential prognostic factors for patients with gastric cancer undergoing surgical treatment. Least absolute shrinkage and selection operator-COX (LASSO-COX) regression analysis was performed to integrate these factors and formulate a new prognostic immunoinflammatory index (PII). The correlation between PII and clinical characteristics was statistically analyzed. Nomograms incorporating the PII score were devised and validated based on the time-dependent area under the curve and decision curve analysis.

RESULTS

Patients exhibiting elevated neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and systemic immune inflammatory index displayed inferior progression-free survival (PFS) and overall survival (OS). Conversely, low levels of CD3(+), CD3(+) CD8(+), CD4(+)CD8(+), and CD3(+)CD16(+)CD56(+) T lymphocytes were associated with improved PFS and OS, while high CD19(+) T lymphocyte levels were linked to worse PFS and OS. The PII score demonstrated associations with tumor characteristics (primary tumor site and tumor size), establishing itself as an independent prognostic factor for both PFS and OS. Time-dependent area under the curve and decision curve analysis affirmed the effectiveness of the PII-based nomogram as a robust prognostic predictive model.

CONCLUSION

PII may be a reliable predictor of prognosis in patients with gastric cancer undergoing surgical treatment, and it offers insights into cancer-related immune-inflammatory responses, with potential significance in clinical practice.

Textbook oncological outcomes and prognosis after curative gastrectomy in advanced gastric cancer: A multicenter study

BACKGROUND

The impact of achieving textbook oncological outcome (TOO) as a multimodal therapy quality indicator on the prognosis of advanced gastric cancer (AGC) remains inadequately assessed.

METHODS

Patients with AGC who underwent curative gastrectomy between January 2010 and December 2017 at two East Asian medical centers were included. TOO was defined as achieving the textbook outcome (TO) and receiving neoadjuvant and/or adjuvant chemotherapy (NCT or ACT). Cox and logistic regression models were used to identify prognostic and non-TOO-associated risk factors.

RESULTS

Among 3626 patients, 57.6% achieved TOO (TOO group), exhibiting significantly better 5-year overall survival (OS) and disease-free survival (DFS) than the non-TOO group (both p < 0.05). Multivariate Cox regression identified TOO as an independent prognostic factor for 5-year OS (HR, 0.67; 95% CI, 0.61-0.74; p < 0.001) and DFS (HR, 0.73; 95% CI, 0.66-0.81; p < 0.001). Multivariate logistic regression showed that open gastrectomy, lack of health insurance, age ≥65 years, ASA score ≥ Ⅲ, and tumor size ≥50 mm are independent risk factors for non-achievement of TOO (all p < 0.05). On a sensitivity analysis of TOO's prognostic value using varying definitions of chemotherapy parameters, a stricter definition of chemotherapy resulted in a decrease in the TOO achievement rate from 57.6 to 22.3%. However, the associated reductions in the risk of death and recurrence fluctuated within the ranges of 33-39% and 28-37%, respectively.

CONCLUSIONS

TOO is a reliable and stable metric for favorable prognosis in AGC. Optimizing the surgical approach and improving health insurance status may enhance TOO achievement.

Application of immune checkpoint inhibitors for resectable gastric/gastroesophageal cancer

Gastric/gastroesophageal junction (G/GEJ) cancer represents a significant global health challenge. Radical surgery remains the cornerstone of treatment for resectable G/GEJ cancer. Supported by robust evidence from multiple clinical studies, therapeutic approaches, including adjuvant chemotherapy or chemoradiation, and perioperative chemotherapy, are generally recommended to reduce the risk of recurrence and enhance long-term survival outcomes post-surgery. In recent years, immune checkpoint inhibitors (ICIs) have altered the landscape of systemic treatment for advanced or metastatic G/GEJ cancer, becoming the standard first-line therapy for specific patients. Consequently, exploring the efficacy of ICIs in the adjuvant or neoadjuvant setting for resectable G/GEJ cancer is worthwhile. This review summarizes the current advances in the application of ICIs for resectable G/GEJ cancer.

Transmembrane protein 176B regulates amino acid metabolism through the PI3K-Akt-mTOR signaling pathway and promotes gastric cancer progression

BACKGROUND

The present study aimed to investigate the expression level, biological function, and underlying mechanism of transmembrane protein 176B (TMEM176B) in gastric cancer (GC).

METHODS

TMEM176B expression was detected by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting (WB). The function of TMEM176B was determined by various in vitro assays including colony formation, 5-ethynyl-2'-deoxyuridine (EdU), Transwell, and flow cytometry. Bioinformatics techniques were then used to elucidate the signaling pathways associated with TMEM176B activity. Tumor formation experiments were conducted on nude mice for in vivo validation of the preceding findings. TMEM176B expression was cross-referenced to clinicopathological parameters and survival outcomes.

RESULTS

It was observed that TMEM176B was overexpressed in GC cells and tissues. Targeted TMEM176B abrogation inhibited colony formation, proliferation, migration, and invasion but promoted apoptosis in GC cell lines while TMEM176B overexpression had the opposite effects. Subsequent experimental validation disclosed an association between TMEM176B and the phosphatidylinositol 3-carboxykinase (PI3K)-protein kinase B (Akt)-mammalian target of rapamycin (mTOR) signaling axis. Moreover, TMEM176B affects GC cancer progression by regulating asparagine synthetase (ASNS). The in vivo assays confirmed that TMEM176B is oncogenic and the clinical data revealed a connection between TMEM176B expression and the clinicopathological determinants of GC.

CONCLUSION

The foregoing results suggest that TMEM176B significantly promotes the development of gastric cancer and is an independent prognostic factor of it.

Bacterial lipopolysaccharide related genes signature as potential biomarker for prognosis and immune treatment in gastric cancer

The composition of microbial microenvironment is an important factor affecting the development of tumor diseases. However, due to the limitations of current technological levels, we are still unable to fully study and elucidate the depth and breadth of the impact of microorganisms on tumors, especially whether microorganisms have an impact on cancer. Therefore, the purpose of this study is to conduct in-depth research on the role and mechanism of prostate microbiome in gastric cancer (GC) based on the related genes of bacterial lipopolysaccharide (LPS) by using bioinformatics methods. Through comparison in the Toxin Genomics Database (CTD), we can find and screen out the bacterial LPS related genes. In the study, Venn plots and lasso analysis were used to obtain differentially expressed LPS related hub genes (LRHG). Afterwards, in order to establish a prognostic risk score model and column chart in LRHG features, we used univariate and multivariate Cox regression analysis for modeling and composition. In addition, we also conducted in-depth research on the clinical role of immunotherapy with TMB, MSI, KRAS mutants, and TIDE scores. We screened 9 LRHGs in the database. We constructed a prognostic risk score and column chart based on LRHG, indicating that low risk scores have a protective effect on patients. We particularly found that low risk scores are beneficial for immunotherapy through TIDE score evaluation. Based on LPS related hub genes, we established a LRHG signature, which can help predict immunotherapy and prognosis for GC patients. Bacterial lipopolysaccharide related genes can also be biomarkers to predict progression free survival in GC patients.

RNF220 promotes gastric cancer growth and stemness via modulating the USP22/wnt/β-catenin pathway

Gastric cancer (GC) is a prevalent malignancy that seriously threatens the health and life of patients. Although Ring finger 220 (RNF220) has been demonstrated to participate in the development of various cancers, its role and mechanism in GC remain undiscovered. The expression of RNF220 was determined by The Cancer Genome Atlas (TCGA) database and Western blot. Additionally, the overall survival (OS) and post-progression survival (PPS) were analyzed based on the levels of RNF220 in the TCGA database. The role and mechanism of RNF220 in growth and stemness were investigated using cell counting kit-8, colony formation, sphere-formation, co-immunoprecipitation, and Western blot experiments. Furthermore, the role of RNF220 was investigated in a xenografted mouse model. The expression of RNF220 was found to be upregulated in GC, which predicted unfavorable OS and PPS in patients with GC. Knockdown of RNF220 reduced cell viability, colony numbers, numbers of spheres formation, and the relative protein levels of Nanog, Sox2, and Oct4 in both AGS and MKN-45 cells. Moreover, overexpression of RNF220 increased cell viability and the numbers of spheres formation in MKN-45 cells. Mechanistically, RNF220 bound to USP22, and interference of RNF220 downregulated the Wnt/β-catenin axis via USP22, which was confirmed by the overexpression of USP22 in both cell lines. Furthermore, silencing of RNF220 significantly decreased tumor volume and weight, the level of Ki-67, and the relative protein levels of USP22, β-catenin, c-myc, Nanog, Sox2, and Oct4. Taken together, downregulation of RNF220 suppressed GC cell growth and stemness by downregulating the USP22/Wnt/β-catenin axis.

Current progress and challenges of immunotherapy in gastric cancer: A focus on CAR-T cells therapeutic approach

Gastric cancer (GC) is a severe malignancy, accounting for the third most common cancer death worldwide. Despite the development of chemo-radiation therapy, there has not been sufficient survival advantage in patients with GC who were treated by these methods. GC immunogenicity is hampered by a highly immunosuppressive microenvironment; therefore, further understanding of the molecular biology of GC is the potential to achieve new therapeutic strategies in GC therapy, including specific immunotherapy. Current immunotherapies are mainly based on cytokines, immune checkpoints, monoclonal antibodies (mAb), bispecific antibodies (BisAbs), antibody-drug conjugates (ADCs), and chimeric antigen receptor (CAR). Immunotherapy has made significant progress in the treatment of GC, so that studies show that nivolumab as a programmed death 1 (PD1) inhibitor has proper safety and effectiveness as a third-line treatment for GC patients. Multiple monoclonal antibodies like ramucirumab and claudiximab were effective in treating GC patients, especially in combination with other treatments. Despite the challenges of CAR therapy in solid tumors, CAR therapy targets various GC cells targets; among them, intercellular adhesion molecule (ICAM)-1 CAR-T cell and CLDN18.2 CAR-T cell have shown promising results. Although responses to all these treatments are encouraging and in some cases, durable, these successes are not seen in all treated patients. The present review represents the development of various immunotherapies especially CAR-T cell therapy, its current use, clinical data in GC, and their limitations.

Lymphocyte subset is more suitable than systemic inflammatory response biomarker and immunoglobulin in constructing prognostic nomogram model for advanced gastric cancer

The serum factors of inflammation are known to be useful prognostic indicators of gastric cancer (GC). However, few studies have made comparisons to screen out more suitable biomarkers for the construction of Nomogram models. In this study, 566 patients who underwent radical gastrectomy were randomly selected. We evaluated the prognostic value of markers of systemic inflammation, including WBC, NLR, PLR, circulating total T cells, CD4⁺T cells, CD8⁺T cells and CD19⁺B cells, serum IgA, IgM, IgE and IgG, and compared them with traditional tumor markers (CEA, CA19-9, CA72-4 and CA125). Kaplan‒Meier analysis was used to analyze the correlation between biomarkers and overall survival (OS). We used time-dependent ROC analysis to investigate the prognostic accuracy of each biomarker. The risk of death was evaluated by the Cox regression model, and the Nomogram model was constructed by R software. We found that circulating total T cells, CD8⁺T cells, CEA, and CA125 had statistical significance in predicting advanced GC prognosis. Circulating CD8⁺T cells and CA125 were continuously superior to circulating total T cells and CEA in the prediction of 5-year OS. Cox regression found that CA125, circulating CD8⁺T cells, sex, and lymph node metastasis rate were independent risk factors for advanced GC. Furthermore, we combined all these predictors to construct a nomogram, which can supplement the AJCC 8th system. According to the comparison with commonly used serum immune biomarkers, circulating CD8⁺T cells is more sensitive to advanced GC. The prediction function of the Nomogram will supplement the traditional AJCC system, which contributes to individual survival prediction.

Risk of Lymph Node Metastasis in T1b Gastric Cancer: An International Comprehensive Analysis from the Global Gastric Group (G3) Alliance

OBJECTIVE

We sought to define criteria associated with low lymph node metastasis risk in patients with submucosal (pT1b) gastric cancer from 3 Western and 3 Eastern countries.

SUMMARY BACKGROUND DATA

Accurate prediction of lymph node metastasis risk is essential when determining the need for gastrectomy with lymph node dissection following endoscopic resection. Under present guidelines, endoscopic resection is considered definitive treatment if submucosal invasion is only superficial, but this is not routinely assessed.

METHODS

Lymph node metastasis rates were determined for patient groups defined according to tumor pathological characteristics. Clinicopathological predictors of lymph node metastasis were determined by multivariable logistic regression and used to develop a nomogram in a randomly selected subset that was validated in the remainder. Overall survival was compared between Eastern and Western countries.

RESULTS

Lymph node metastasis was found in 701 of 3166 (22.1%) Eastern and 153 of 560 (27.3%) Western patients. Independent predictors of lymph node metastasis were female sex, tumor size, distal stomach location, lymphovascular invasion, and moderate or poor differentiation. Patients fulfilling the National Comprehensive Cancer Network guideline criteria, excluding the requirement that invasion not extend beyond the superficial submucosa, had a lymph node metastasis rate of 8.9% (53/594). Excluding moderately differentiated tumors lowered the rate to 3.4% (10/296). The nomogram's area under the curve was 0.690. Regardless of lymph node status, overall survival was better in Eastern patients.

CONCLUSIONS

The lymph node metastasis rate was lowest in patients with well differentiated tumors that were ≤3 cm and lacked lymphovascular invasion. These criteria may be useful in decisions regarding endoscopic resection as definitive treatment for pT1b gastric cancer.

Development and Validation of Tumor Marker Indices in Advanced Gastric Cancer Patients

BACKGROUND

Tumor markers (TMs) are important for the prognosis of gastric cancer (GC). However, the prognostic importance of the tumor marker index (TMI) based on GC-specific TMs for advanced gastric cancer (AGC) still needs to be further explored.

METHODS

We retrospectively examined patients who underwent radical gastric cancer surgery between February 2014 and June 2016 at the Department of Gastroenterological Surgery, Affiliated Cancer Hospital, Harbin Medical University. The patients were divided into training and validation groups. TMI was determined as the geometric mean of the standard cancer antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) levels. Patient overall survival was assessed using the Kaplan-Meier method. Independent prognosis-associated risk factors were identified using Cox hazard regression models. A nomogram model incorporating TMI and clinicopathological factors was developed, and its performance was evaluated using a decision curve analysis, concordance index, and calibration plots.

RESULTS

In the TMI training cohort, the cutoff value was set at .439, categorizing patients into TMI-High and TMI-Low groups. The 5-year survival rate in the TMI-Low group significantly surpassed that in the TMI-High group (78.2% vs 58.1% and 49.7 vs 41.6, P < .001). TMI emerged as an independent prognostic factor. The nomogram accurately predicted patient prognosis by using TMI and clinicopathological characteristics. Validation of the TMI in the independent cohort yielded satisfactory results.

CONCLUSION

The TMI constructed based on specific TMs associated with gastric cancer can offer a precise prognostic prediction for patients.

Body composition parameters for predicting the efficacy of neoadjuvant chemotherapy with immunotherapy for gastric cancer

Background

Immune checkpoint inhibitors are increasingly used in neoadjuvant therapy for locally advanced gastric cancer. However, the effect of body composition on the efficacy of neoadjuvant therapy has not been reported.

Methods

The computed tomography (CT) images and clinicopathological data of 101 patients with locally advanced gastric cancer who received neoadjuvant chemotherapy combined with immunotherapy (NCI) from 2019 to 2021 were collected. The CT image of L3 vertebral body section was selected, and the body composition before and after the neoadjuvant treatment was calculated using the SliceOmatic software, mainly including skeletal muscle index (SMI), subcutaneous adipose index (SAI), and visceral adipose index (VAI). The relationship between body composition and the efficacy and adverse events of NCI was analyzed.

Results

Of the 101 patients, 81 with evaluable data were included in the analysis. Of the included patients, 77.8% were male; the median age of all the patients was 62 years, and the median neoadjuvant therapy cycle was three. After the neoadjuvant therapy, 62.9% of the tumors were in remission (residual tumor cells ≤ 50%), and 37.1% of the tumors had no remission (residual tumor cells>50%). Moreover, 61.7% of the patients had treatment-related adverse events (TRAEs), and 18.5% had immune-related adverse events (irAEs). After neoadjuvant therapy, the body mass index (from 23 to 22.6 cm2/m2, p=0.042), SAI (from 34.7 to 32.9 cm2/m2, p=0.01) and VAI (from 32.4 to 26.8 cm2/m2, p=0.005) were significantly lower than those before treatment, while the SMI had no significant change (44.7 vs 42.5 cm2/m2, p=0.278). The multivariate logistics regression analysis revealed that low SMI (odds ratio [OR]: 3.23,95% confidence interval [CI]: 1.06-9.81, p=0.047), SMI attenuation (△SMI) ≥ 1.8(OR: 1.45,95%CI: 1.20-3.48, p=0.048), and clinical node positivity (OR: 6.99,95%CI: 2.35-20.82, p=0.001) were independent risk factors for non-remission. Additionally, high SAI is an independent risk factor for irAEs (OR: 14, 95%CI: 1.73-112.7, p=0.013).

Conclusion

Low SMI and △SMI≥1.8 are independent risk factors for poor tumor regression in patients with advanced gastric cancer receiving NCI. Patients with a high SAI are more likely to develop irAEs.

Identification and Validation of an m6A Modification of JAK-STAT Signaling Pathway–Related Prognostic Prediction Model in Gastric Cancer

Background: Gastric cancer (GC) is one of the malignant tumors worldwide. Janus (JAK)–signal transduction and activator of transcription (STAT) signaling pathway is involved in cellular biological process and immune function. However, the association between them is still not systematically described. Therefore, in this study, we aimed to identify key genes involved in JAK-STAT signaling pathway and GC, as well as the potential mechanism.

Methods: The Cancer Genome Atlas (TCGA) database was the source of RNA-sequencing data of GC patients. Gene Expression Omnibus (GEO) database was used as the validation set. The predictive value of the JAK-STAT signaling pathway-related prognostic prediction model was examined using least absolute shrinkage and selection operator (LASSO); survival, univariate, and multivariate Cox regression analyses; and receiver operating characteristic curve (ROC) analyses to examine the predictive value of the model. Quantitative real-time polymerase chain reaction (qRT-PCR) and chi-square test were used to verify the expression of genes in the model and assess the association between the genes and clinicopathological parameters of GC patients, respectively. Then, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment analysis, version 3.0 (GSEA), sequence-based RNA adenosine methylation site predictor (SRAMP) online websites, and RNA immunoprecipitation (RIP) experiments were used to predict the model-related potential pathways, m6A modifications, and the association between model genes and m6A.

Results: A four-gene prognostic model (GHR, PIM1, IFNA8, and IFNB1) was constructed, namely, riskScore. The Kaplan–Meier curves suggested that patients with high riskScore expression had a poorer prognosis than those with low riskScore expression (p = 0.006). Multivariate Cox regression analyses showed that the model could be an independent predictor (p < 0.001; HR = 3.342, 95%, CI = 1.834–6.088). The 5-year area under time-dependent ROC curve (AUC) reached 0.655. The training test set verified these results. Further analyses unveiled an enrichment of cancer-related pathways, m6A modifications, and the direct interaction between m6A and the four genes.

Conclusion: This four-gene prognostic model could be applied to predict the prognosis of GC patients and might be a promising therapeutic target in GC.

Textbook outcome, chemotherapy compliance, and prognosis after radical gastrectomy for gastric cancer: A large sample analysis

BACKGROUND

This study aims to analyze the effect of textbook outcome (TO) on the long-term prognosis and adjuvant chemotherapy (AC) compliance of patients with gastric cancer (GC) in a single institute.

MATERIALS AND METHODS

Consecutive patients who underwent radical gastrectomy with pathological stage I-III at Union Hospital of Fujian Medical University from January 2010 to June 2017 were included. TO was defined as receiving a complete-potentially curative status, ≥15 lymph nodes examined, hospital stay ≤21 days, and freedom from intraoperative and postoperative complications, re-intervention in 30 days, 30-day readmission to the hospital or intensive care unit, and 30-day postoperative mortality.

RESULTS

Totally 3993 patients were included, of which 3361 (84.2%) patients achieved TO. The overall, disease-specific, and recurrence-free survival of patients achieving TO were significantly better than those of patients without achieving TO (all P < 0.05). The total number of AC cycles was greater and the interval from surgery to first AC was shorter in the TO group compared with the Non-TO group. Age >65 years old, open surgery, pT3-4 stage, and total radical gastrectomy (TG) were identified as related high-risk factors for failure to achieve TO. Laparoscopic surgery facilitated TO achievement in high-risk groups.

CONCLUSION

TO is a reliable indicator of favorable prognosis of patients with GC and contributes to postoperative chemotherapy compliance. Age ≤65 years old, non-TG, pT1-2 stage, and laparoscopic surgery may promote the achievement of TO.

miRNAs derived from plasma small extracellular vesicles predict organo-tropic metastasis of gastric cancer

BACKGROUND

Peritoneum, liver and lymph node are the most common metastatic sites of gastric cancer (GC). Biomarkers for GC's organo-tropic metastasis remained largely unknown, which was investigated in this study from the perspective of small extracellular vesicle (sEV)-derived miRNAs.

METHODS

Plasma from treatment-naïve GC patients including no metastasis (M0), peritoneal metastasis (PM), hepatic metastasis (HM) and distant lymph node metastasis (dLNM)) were divided into one discovery (N = 40), one training (N = 40) and one validating cohort (N = 86), then assessed by sEV-miRNA-sequencing and sEV-miRNA-qPCR. Functional explorations were also performed for verification.

RESULTS

The expression profiles of sEV-miRNAs varied greatly across different metastatic patterns. Based on logistic regression models, we constructed signatures for M0 (hsa-miR-186-5p/hsa-miR-200c-3p/hsa-miR-429/hsa-miR-5187-5p/hsa-miR-548ae-5p), PM (hsa-miR-200c-3p/hsa-miR-429), HM (hsa-miR-200c-3p/hsa-miR-429) and dLNM (hsa-miR-324-5p/hsa-miR-374a-5p/hsa-miR-429/hsa-miR-548ae-5p). These signatures vigorously characterized organo-tropic metastasis (all displaying AUC > 0.8, consistency ≥ 75%), and effectively conjectured the risk of future metastasis within 5 years (accuracy 45.5% for occurrence, 70% for organotropism, P = 0.002 for prognostic diversity). Additionally, we explored these seven biomarker miRNAs' impact on GC's in vitro motility and discussed their potential involvement in cancer-related biological processes and pathways.

CONCLUSIONS

Our work highlighted that plasma sEV-miRNAs powerfully characterized and predicted the organo-tropic metastasis of GC and provided new insight into the applications of sEV-based liquid biopsy in clinical practice.

Addition of sintilimab to nanoparticle albumin-bound paclitaxel and S-1 as adjuvant therapy in stage IIIC gastric cancer

The prognosis of stage III gastric cancer (GC) is not satisfying and the specific chemotherapy regimens for GC of stage IIIC based on the 8th edition of the UICC/AJCC TNM staging system are still inconclusive. Peritoneal recurrence is the common and severe relapse pattern. Nanoparticle albumin-bound paclitaxel (Nab-PTX) is safer and more effective than PTX in the peritoneal metastasis. Clinical trial has demonstrated the safety and efficacy of sintilimab in GC. A combination of Nab-PTX, S-1 and sintilimab could be a promising triplet regimen as adjuvant therapy for GC. The aim of this article is to describe the design of this prospective Dragon-VII trial, conducted to evaluate the safety and efficacy of the combination of Nab-PTX, S-1 and sintilimab. Clinical trial registration: NCT04781413.

Microsatellite Instability and Effectiveness of Adjuvant Treatment in pT1N1 Gastric Cancer: A Multicohort Study

BACKGROUND

Microsatellite status is a prognostic biomarker in advanced gastric cancer. This retrospective study aimed to investigate the usefulness of microsatellite status in predicting prognosis and response to adjuvant treatment in pT1N1 gastric cancer.

PATIENTS AND METHODS

Among 875 patients who underwent radical gastrectomy for pT1N1 gastric cancer at two tertiary hospitals, 838 with available microsatellite instability (MSI) data were included and classified into two groups according to microsatellite status: microsatellite stable (MSS) and MSI-high (MSI-H). Recurrence-free survival rate and risk factors for tumor recurrence were analyzed.

RESULTS

Of 838 gastric cancer patients, 100 (11.9%) were MSI-H and 307 (36.6%) received adjuvant treatment. During median follow-up of 70 months, 42 (5.0%) patients experienced gastric cancer recurrence; hematogenous recurrences were the most common (45.2%). Recurrence-free survival was similar in the MSS and MSI-H groups (p = 0.27), and adjuvant treatment did not show an oncological benefit over surgery alone for pT1N1 gastric cancer (p = 0.53). On univariate analysis, age, operation period, and Lauren classification were significantly associated with tumor recurrence, while adjuvant treatment and MSI status were not associated with tumor recurrence. On multivariate analysis, MSI status was not associated with tumor recurrence, and adjuvant treatment worsened the tumor recurrence risk [hazard ratio (HR) 2.373, 95% confidence interval (CI) 1.125-5.006, p = 0.023).

CONCLUSION

MSI status may not be a prognostic factor for tumor recurrence or a predictor of response to adjuvant treatment in pT1N1 gastric cancer patients. Considering that the effect of adjuvant treatment to decrease the risk of tumor recurrence is not clear, it may not be indicated in pT1N1 patients.

Advances in clinical immunotherapy for gastric cancer

Gastric cancer (GC) is one of the most malignant human cancers with increasing incidence worldwide, ranking among the top five malignant tumors worldwide in terms of incidence and mortality. The clinical efficacy of conventional therapies is limited, and the median overall survival (mOS) for advanced-stage gastric cancer is only about 8 months. Emerging as one of breakthroughs for cancer therapy, immunotherapy has become an effective treatment modality after surgery, chemotherapy, radiotherapy, and targeted therapy. In this review, we have summarized the progresses of clinical development of immunotherapies for gastric cancer. Major advances with immune checkpoint inhibitors (ICIs) have started to change the clinical practice for gastric cancer treatment and prognosis. Additionally, combination therapies with other modalities, such as targeted therapies, are expected to push immunotherapies to front-line. In this review, the efficacy of ICIs and targeted therapy alone or combination with existing therapies gastric cancer treatment was described and the predictive value of biomarkers for immunotherapies in gastric cancer treatment is also discussed.

BOP1 Silencing Suppresses Gastric Cancer Proliferation through p53 Modulation

Block of proliferation 1 (BOP1) is a key protein involved in ribosome maturation and affects cancer progression. However, its role in gastric cancer (GC) remains unknown. This study aimed to explore the expression of BOP1 in GC and its potential mechanisms in regulating GC growth, and the relationship between BOP1 level in cancer tissues and survival was also analyzed. The expression of BOP1 was examined by immunohistochemistry (IHC) in a cohort containing 387 patients with primary GC. Cultured GC cells were treated by siRNA to knock down the BOP1 expression, and examined by CCK-8 assay and plate clone formation to assess cell proliferation in vitro. Apoptotic rate of cultured GC cells was detected by flow cytometry with double staining of AnnxinV/PI. The xenografted mouse model was used to assess GC cell proliferation in vivo. Western blot and IHC were also performed to detect the expression levels of BOP1, p53 and p21. Patients with higher level of BOP1 in cancer tissues had significantly poorer survival. BOP1 silencing significantly suppressed GC cell proliferation both in vitro and in vivo. It blocked cell cycle at G0/G1 phase and led to apoptosis of GC cells via upregulating p53 and p21. BOP1 silencing-induced suppression of cell proliferation was partly reversed by pifithrin-α (a p53 inhibitor). Our study demonstrated that BOP1 up-regulation may be a hallmark of GC and it may regulate proliferation of GC cells by activating p53. BOP1 might be considered a novel biomarker of GC proliferation, and could be a potential indicator of prognosis of GC patients. BOP1 might also be a potential target for the treatment of GC patients if further researched.

Preoperative Systemic Immune-Inflammation Index (SII) for Predicting the Survival of Patients with Stage I-III Gastric Cancer with a Signet-Ring Cell (SRC) Component

Background

Recently, a novel systemic immune-inflammation index (SII) based on peripheral lymphocytes, neutrophils, and platelets has been reported to be correlated with patient prognosis in several malignancies, including gastric cancer. However, the prognostic value of the SII for gastric cancer patients with a signet-ring cell (SRC) component has not yet been reported. In this study, we aimed to assess the prognostic value of the SII in gastric cancer patients with an SRC component after curative resection.

Methods

This study was a retrospective analysis of 512 GC patients with an SRC component who underwent curative resection. The prognostic value of the SII was analyzed by the Kaplan-Meier method and Cox proportional hazards regression model.

Results

In our study cohort, an optimal cut-off value for the SII of 527 was used to stratify patients with gastric cancer (GC) into low (<527) and high SII (≥527) groups. Our study indicated that a high SII (≥527) was significantly correlated with a large tumor size (p < 0.001), infiltration of serosa (p < 0.001), lymph node metastasis (p < 0.001), and advanced TNM stage (p < 0.001). Univariate and multivariate analyses further demonstrated that a low SII was correlated with better clinical outcome and was an independent prognostic predictor in GC patients with an SRC component. Furthermore, the SII retained prognostic value in the subgroup analysis, including subgroup of different TNM stages and pure or mixed signet-ring cell carcinomas (SRCCs).

Conclusion

The SII is a simple, promising, and practical prognostic biomarker for patients with surgically resected mixed SRCC and pure SRCC. The SII could complement current prognostic tools for better treatment planning and stratification of patients.

A Systematic Review of the Mechanisms Underlying Treatment of Gastric Precancerous Lesions by Traditional Chinese Medicine

Gastric precancerous lesions (GPLs) are an essential precursor in the occurrence and development of gastric cancer, known to be one of the most common and lethal cancers worldwide. Traditional Chinese medicine (TCM) has a positive prospect for the prevention and therapy of GPL owing to several advantages including a definite curative effect, fewer side effects compared to other treatments, multiple components, and holistic regulation. Despite these characteristic advantages, the mechanisms of TCM in treating GPL have not been fully elucidated. In this review, we summarize the current knowledge with respect to herbal formulations and the therapeutic mechanisms of TCM active ingredients for GPL. This paper elaborates on the mechanisms of TCM underlying the prevention and treatment of GPL, specifically those that are linked to anti-H. pylori, anti-inflammation, antiproliferation, proapoptotic, antioxidation, antiglycolytic, and antiangiogenesis effects.

Advancements and challenges in treating advanced gastric cancer in the West

Gastric cancer is a leading cause of cancer incidence and death worldwide. Patients with advanced gastric cancer benefit from a multi-modality treatment regimen. Sound oncologic resection with negative margins and complete lymphadenectomy plays a crucial role in long-term survival for patients with resectable disease. The utilization of minimally invasive techniques for gastric cancer has been slowly increasing and is proving to be both technically and oncologically safe. Perioperative chemotherapy is the current standard of care for advanced gastric cancer. A variety of chemotherapy regimens have been used with the combination of docetaxel, oxaliplatin, 5-fluorouracil, and leucovorin being the current recommendation given its superior ability to induce a complete pathologic response and prolong survival. The use of radiation has been more controversial with its optimal place in the treatment sequence being unclear. There are current ongoing studies assessing the impact of radiation as an adjunct or in place of chemotherapy. Targeted treatments (e.g., trastuzumab for human epidermal growth factor receptor 2 positive tumors and pembrolizumab for programmed death-ligand 1 positive tumors) are showing promise and are part of a continued emphasis on individualized care. Intraperitoneal chemotherapy may also play a role in preventing peritoneal recurrences for patients with high risk lesions. The treatment of patients with advanced gastric cancer in the West continues to advance and improve with a better understanding of optimal treatment sequences and the utilization of personalized treatment regimens.

A modified subclassification to evaluate the survival of patients with N3 gastric cancer: an international database study

BACKGROUND

The eighth TNM classification for gastric cancer categorizes N3 as N3a and N3b in the final pathologic stage. The cutoff for N3a/N3b is defined as 15 metastatic lymph nodes, but the rationale for this cutoff remains unclear. This study aimed to determine the optimal N3a/N3b cutoff and evaluate its prognostic significance.

METHODS

An international database was constructed by combining data from patients with N3 gastric cancer and complete five-year follow-up data from the Surveillance, Epidemiology, and End Results program database (n = 1833) and the Fujian Medical University Union Hospital database (n = 920) (total n = 2753). A log-rank test was performed to determine the optimal N3a/N3b cutoff, and its prognostic significance was confirmed in a two-step multivariate analysis and compared to that of the eighth TNM.

RESULTS

A cut-point analysis performed at each metastatic lymph node number identified the greatest survival difference between N3a and N3b at 13 metastatic lymph nodes (χ² = 157.671, P = 3.65 × 10^- 36). In patients with 14-15 metastatic lymph nodes, prognoses were significantly worse than those in patients with 7-13 metastatic lymph nodes (P < 0.001) but similar to those in patients with > 15 metastatic lymph nodes (P = 0.078). Therefore, patients with 14-15 metastatic lymph nodes were incorporated into a modified N3b classification. In the two-step multivariate analysis, the eighth N3 classification fell out of the model, while the modified N3 classification remained intact (HR 1.51, P < 0.001). Further analyses demonstrated that the modified TNM classification had superior homogeneity, discriminatory ability, and gradient monotonicity compared to the eighth TNM classification.

CONCLUSIONS

For improved prognostic stratification, we recommend adjusting the cutoff for subclassification of N3 gastric cancer to 13 metastatic lymph nodes.