Bridging Machine Learning and Thermodynamics for Accurate pK a Prediction.

Integrating scientific principles into machine learning models to enhance their predictive performance and generalizability is a central challenge in the development of AI for Science. Herein, we introduce Uni-pK a, a novel framework that successfully incorporates thermodynamic principles into machine learning modeling, achieving high-precision predictions of acid dissociation constants (pK a), a crucial task in the rational design of drugs and catalysts, as well as a modeling challenge in computational physical chemistry for small organic molecules. Uni-pK a utilizes a comprehensive free energy model to represent molecular protonation equilibria accurately. It features a structure enumerator that reconstructs molecular configurations from pK a data, coupled with a neural network that functions as a free energy predictor, ensuring high-throughput, data-driven prediction while preserving thermodynamic consistency. Employing a pretraining-finetuning strategy with both predicted and experimental pK a data, Uni-pK a not only achieves state-of-the-art accuracy in chemoinformatics but also shows comparable precision to quantum mechanics-based methods.

Immune checkpoint reprogramming via sequential nucleic acid delivery strategy optimizes systemic immune responses for gastrointestinal cancer immunotherapy.

Monoclonal antibodies targeting immune checkpoints have been widely applied in gastrointestinal cancer immunotherapy. However, systemic administration of various monoclonal antibodies does not often result in sustained effects in reversing the immunosuppressive tumor microenvironment (TME), which may be due to the spatiotemporal dynamic changes of immune checkpoints. Herein, we reported a novel immune checkpoint reprogramming strategy for gastrointestinal cancer immunotherapy. It was achieved by the sequential delivery of siPD-L1 (siRNA for programmed cell death ligand 1) and pOX40L (plasmid for OX40 ligand), which were complexed with two cationic polymer brush-grafted carbon nanotubes (dense short (DS) and dense long (DL)) designed based on the structural characteristics of nucleic acids and brush architectures. Upon administrating DL/pOX40L for the first three dosages, then followed by DS/siPD-L1 for the next three dosages to the TME, it upregulated the stimulatory checkpoint OX40L on dendritic cells (DCs) and downregulated inhibitory checkpoint PD-L1 on tumor cells and DCs in a sequential reprogramming manner. Compared with other combination treatments, this sequential strategy drastically boosted the DCs maturation, and CD8+ cytotoxic T lymphocytes infiltration in tumor site. Furthermore, it could augment the local antitumor response and improve the T cell infiltration in tumor-draining lymph nodes to reverse the peripheral immunosuppression. Our study demonstrated that sequential nucleic acid delivery strategy via personalized nanoplatforms effectively reversed the immunosuppression status in both tumor microenvironment and peripheral immune landscape, which significantly enhanced the systemic antitumor immune responses and established an optimal immunotherapy strategy against gastrointestinal cancer.

DDR1 Drives Malignant Progression of Gastric Cancer by Suppressing HIF-1α Ubiquitination and Degradation.

The extracellular matrix (ECM) has been demonstrated to be dysregulated and crucial for malignant progression in gastric cancer (GC), but the mechanism is not well understood. Here, that discoidin domain receptor 1 (DDR1), a principal ECM receptor, is recognized as a key driver of GC progression is reported. Mechanistically, DDR1 directly interacts with the PAS domain of hypoxia-inducible factor-1α (HIF-1α), suppresses its ubiquitination and subsequently strengthens its transcriptional regulation of angiogenesis. Additionally, DDR1 upregulation in GC cells promotes actin cytoskeleton reorganization by activating HIF-1α/ Ras Homolog Family Member A (RhoA)/Rho-associated protein kinase 1 (ROCK1) signaling, which in turn enhances the metastatic capacity. Pharmacological inhibition of DDR1 suppresses GC progression and angiogenesis in patient-derived xenograft (PDX) and organoid models. Taken together, this work first indicates the effects of the DDR1-HIF-1α axis on GC progression and reveals the related mechanisms, providing experimental evidence for DDR1 as a therapeutic target for GC.

Photothermal Ferrotherapy - Induced Immunogenic Cell Death via Iron-Based Ternary Chalcogenide Nanoparticles Against Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is highly malignant and prone to recurrence and metastasis. Patients with TNBC have limited therapeutic options, often resulting in poor prognosis. Some new treatments for TNBC have been considered in the past decade, such as immunotherapy, photothermal therapy (PTT), and ferroptosis therapy, that allow the rapid and minimally invasive ablation of cancer. However, a multifunctional nanodrug system with more potent efficacy for TNBC is still needed. The use of iron-based ternary chalcogenide nanoparticles (NPs), namely AgFeS2 , is reported, which synergistically combines photothermal therapy, ferrotherapy, and immunotherapy in one system for the treatment of TNBC. AgFeS2 possesses excellent photothermal conversion performance for tumor near-infrared (NIR) phototherapy. Upon photoirradiation, these NPs generate heat, accelerate the release of iron ions, and effectively catalyze the Fenton reaction, resulting in cell apoptosis and ferroptosis. Additionally, AgFeS2 promotes the release of tumor-specific antigens and triggers an immune response via immunogenic cell death (ICD), thereby providing unique synergistic mechanisms for cancer therapy. The present study demonstrates the great potential of iron-based ternary chalcogenide as a new therapeutic platform for a combination of photothermal therapy, ferrotherapy, and immunotherapy for the suppression of TNBC.

The association of immune cell infiltration and prognostic value of tertiary lymphoid structures in gastric cancer.

Tertiary lymphoid structures (TLS) are lymphoid aggregates in tumor tissues and their potential significance in clinical applications has not been fully elucidated in gastric cancer. We evaluated TLS and tumor-infiltrating immune cells using H&E and immunohistochemistry staining in the recruited patients with gastric cancer. The prognostic value of TLS was evaluated by Kaplan-Meier analysis and further validated using gene expression profiling. The alterations in gene mutation, copy number variance, and DNA methylation across the TLS signature subtypes were analyzed based on the Cancer Genome Atlas cohort. High TLS density was associated with improved overall survival and disease-free survival. A combination of TLS density and TNM stage obtained higher prognostic accuracy than the TNM stage alone. Tumors with high TLS density showed significantly higher infiltration of CD3+, CD8+, and CD20+ cells but lower infiltration of CD68+ cells. Transcriptomics analysis demonstrated that high TLS signature status was positively associated with the activation of inflammation-related and immune-related pathways. Multi-omics data showed a distinct landscape of somatic mutations, copy number variants, and DNA methylation across TLS signature subtypes. Our results indicated that TLS might link with enhanced immune responses, and represent an independent and beneficial predictor of resected gastric cancer. Multi-omics analysis further revealed key tumor-associated molecular alterations across TLS signature subtypes, which might help explore the potential mechanism of the interaction between TLS formation and cancer cells.

Cross-Talk of Focal Adhesion-Related Gene Defines Prognosis and the Immune Microenvironment in Gastric Cancer.

Background: Focal adhesion, as the intermediary between tumor cells and extracellular matrix communication, plays a variety of roles in tumor invasion, migration, and drug resistance. However, the potential role of focal adhesion-related genes in the microenvironment, immune cell infiltration, and drug sensitivity of gastric cancer (GC) has not yet been revealed. Methods: The genetic and transcriptional perspectives of focal adhesion-related genes were systematically analyzed. From a genetic perspective, the focal adhesion index (FAI) was constructed based on 18 prognosis-related focus adhesion-related genes to evaluate the immune microenvironment and drug sensitivity. Then three prognosis-related genes were used for consistent clustering to identify GC subtypes. Finally, use FLT1, EGF, COL5A2, and M2 macrophages to develop risk signatures, and establish a nomogram together with clinicopathological characteristics. Results: Mutations in the focal adhesion-related gene affect the survival time and clinical characteristics of GC patients. FAI has been associated with a shorter survival time, immune signaling pathways, M2 macrophage infiltration, epithelial-mesenchymal transition (EMT) signaling, and diffuse type of GC. FAI recognizes ALK, cell cycle, and BMX signaling pathways inhibitors as sensitive agents for the treatment of GC. FLT1, EGF, and COL5A2 may distinguish GC subtypes. The established risk signature is of great significance to the prognostic evaluation of GC based on FLT1, EGF, and COL5A2 and M2 macrophage expression. Conclusion: The focal adhesion-related gene is a potential biomarker for the evaluation of the immune microenvironment and prognosis. This work emphasizes the potential impact of the focal adhesion pathway in GC therapy and highlights its guiding role in prognostic evaluation.

Identification of an Immune-Related Long Noncoding RNA Pairs Model to Predict Survival and Immune Features in Gastric Cancer.

Background: Gastric cancer (GC) remains one of the most malignant tumors around the world, and an accurate model that reliably predicts survival and therapeutic efficacy is urgently needed. As a novel predictor for prognosis in a variety of cancers, immune-related long noncoding RNA pairs (IRlncRNAPs) have been reported to predict tumor prognosis. Herein, we integrated an IRlncRNAPs model to predict the clinical outcome, immune features, and chemotherapeutic efficacy of GC. Methods: Based on the GC data obtained from The Cancer Genome Atlas (TCGA) database and the Immunology Database and Analysis Portal (ImmPort), differentially expressed immune-related long noncoding RNAs (DEIRlncRNAs) were identified. Least absolute shrinkage and selection operator (LASSO) regression and Cox regression analysis were used to select the most appropriate overall survival (OS)-related IRlncRNAPs to develop a prognostic signature. The riskScore of each sample was calculated by comparing the long noncoding RNA expression level in each IRlncRNAP. Based on the riskScore for each patient, GC patients were divided into high- and low-risk groups. Then, the correlation of the signature and riskScore with OS, clinical features, immune cell infiltration, immune-related gene (IRG) expression and chemotherapeutic efficacy in GC was analyzed. Results: A total of 107 DEIRlncRNAs were identified which formed 4297 IRlncRNAPs. Fifteen OS-related IRlncRNAPs were selected to develop a prognostic model. GC patients could be accurately classified into high- and low-risk groups according to the riskScore of the prognostic model. The 1-, 2-, 3-, and 5-year receiver operating characteristic (ROC) curves for the riskScore were drawn and the area under the curve (AUC) values were found to be 0.788, 0.810, 0.825, and 0.868, respectively, demonstrating a high sensitivity and accuracy of this prognostic signature. Moreover, the immune-related riskScore was an independent risk factor. Patients showed a poorer outcome within the high-risk group. In addition, the riskScore was found to be significantly correlated with the clinical features, immune infiltration status, IRG expression, and chemotherapeutic efficacy in GC. Conclusion: The prognostic model of IRlncRNAPs offers great promise in predicting the prognosis, immune infiltration status, and chemotherapeutic efficacy in GC, which might be helpful for the selection of chemo- and immuno-therapy of GC.

The Effect of Multidisciplinary Team Discussion Intervention on the Prognosis of Advanced Colorectal Cancer.

Purpose: The effects of multidisciplinary team discussion intervention on the treatment and prognosis of advanced colorectal cancer are still controversial. Large sample size studies to evaluate the efficacy in patients with advanced colorectal cancer are lacking. Materials and Methods: We statistically analyzed the data of surgical patients diagnosed with advanced colorectal cancer from 2008 to 2014 by retrospective analysis. Patients were divided into two groups according to whether or not they received multidisciplinary team discussion intervention. After at least 3 years of follow up, differences between two groups were compared with respect to treatment process and patient prognosis. Results: The time to treatment in intervention group was shorter (9.6 ± 4.2 days vs 10.7 ± 5.6 days; p= 0.002). There were no significant differences in recurrence and metastasis rate between the two groups. Multivariate survival analysis suggested that multidisciplinary team discussion intervention reduced the risk of death (HR = 0.677; p = 0.006). And it had significant interaction with tumor invasion and tumor stage, and especially had beneficial effects in the tumor stage IV subgroup (p=0.005) and tumor invasion T4 subgroup (p<0.001). Conclusion: Multidisciplinary team discussion intervention accelerated the treatment process and reduced the death risk of patients with advanced colorectal cancer, especially improved the overall survival of stage IV and invasion T4 patients. The clinical characteristics of tumor invasion and tumor stage must be the primary considerations when judging whether patients need to conduct multidisciplinary team discussions.

Identification of Stemness Characteristics Associated With the Immune Microenvironment and Prognosis in Gastric Cancer.

BACKGROUND: Gastric cancer (GC) is a highly heterogeneous disease. In recent years, the prognostic value of the mRNA expression-based stemness index (mRNAsi) across cancers has been reported. We intended to identify stemness index-associated genes (SI-genes) for clinical characteristic, gene mutation status, immune response, and tumor microenvironment evaluation as well as risk stratification and survival prediction. METHODS: The correlations between the mRNAsi and GC prognosis, clinical characteristics, gene mutation status, immune cell infiltration and tumor microenvironment were evaluated. Weighted gene correlation network analysis (WGCNA) was performed to identify SI-genes from differentially expressed genes (DEGs) in The Cancer Genome Atlas (TCGA). Single-sample gene set enrichment analysis (ssGSEA) was employed to calculate the sample SI-gene-based ssGSEA score according to the SI-genes. Then, the correlations between the ssGSEA score and GC prognosis, clinical characteristics, gene mutation status, immune cell infiltration and tumor microenvironment were analyzed. Finally, the least absolute shrinkage and selection operator (LASSO) Cox regression algorithm was used to construct a prognostic signature with prognostic SI-genes. The ssGSEA score and prognostic signature were validated using the Gene Expression Omnibus (GEO) database. RESULTS: The mRNAsi could predict overall survival (OS), clinical characteristics, the gene mutation status, immune cell infiltration, and the tumor microenvironment composition. Fourteen positive SI-genes and 178 negative SI-genes were screened out using WGCNA. The ssGSEA score, similar to the mRNAsi, was found to be closely related to OS, clinical characteristics, the gene mutation status, immune cell infiltration, and the tumor microenvironment composition. Finally, a prognostic signature based on 18 prognostic SI-genes was verified to more accurately predict GC 1-year, 3-year, and 5-year OS than traditional clinical prediction models. CONCLUSION: The ssGSEA score and prognostic signature based on 18 prognostic SI-genes are of great value for immune response evaluation, risk stratification and survival prediction in GC and suggest that stemness features are crucial drivers of GC progression.

STIP1 knockdown suppresses colorectal cancer cell proliferation, migration and invasion by inhibiting STAT3 pathway.

Stress-induced phosphoprotein 1 (STIP1) plays an important role in cancer tumorigenesis and progression. However, the role of STIP1 in colorectal cancer (CRC) remains unclear. This study aimed to explore clinical significance, biological function and potential molecular mechanism of STIP1 in CRC. Immunohistochemistry (IHC) and Western bolt were performed to detect STIP1 protein level in CRC and adjacent normal tissues. DLD1 and HCT116 cell lines were treated with shSTIP1, cell proliferation was detected by CCK8 and colony formation assays, and cell migration and invasion were detected by wound healing and transwell assays. Moreover, western blot and immunofluorescence assays were performed to explore the potential molecular mechanism of STIP1 in the progression of CRC. We found that STIP1 expression in CRC tissues was significantly higher than in adjacent normal tissues. High STIP1 expression was associated with poor overall survival (OS) in CRC patients. Furthermore, secreted STIP1 promoted CRC cell proliferation and invasion through STAT3 signaling pathway, while STIP1 knockdown inhibited the proliferation, migration and invasion of CRC cells. Mechanistically, STIP1 knockdown suppressed the activation of STAT3 signaling pathway in CRC. In conclusion, STIP1 knockdown suppresses CRC cell proliferation, migration and invasion by inhibiting the activation of STAT3 signaling, and STIP1 is a potential target for CRC therapy.

Trim47 overexpression correlates with poor prognosis in gastric cancer.

Trim47 is a member of the tripartite motif (TRIM) family that participates in many pathophysiological processes. However, the expression pattern and biological functions of Trim47 in gastric cancer (GC) remain unclear. The present study aimed to further explore the clinicopathological significance and potential prognostic role of Trim47 expression in GC. Therefore, in this study, Trim47 mRNA level was investigated in the Cancer Genome Atlas (TCGA) and Oncomine database in GC. We detected Trim47 mRNA and protein expression levels in GC and paired adjacent normal tissues. Kaplan-Meier method and Cox proportional hazard regression models were performed to analyze the survival of patients and prognostic factors. A gene set enrichment analysis (GSEA) was performed to determine the mechanism of Trim47 in GC. Our results indicated that Trim47 mRNA expression in GC tissues was significantly higher than adjacent normal tissues, as was Trim47 protein expression. Trim47 overexpression in GC tissues was significantly associated with tumor differentiation, T stage, N stage, M stage, and TNM stage. Kaplan-Meier analyses showed that high Trim47 expression was associated with worse overall survival (OS) and disease-free survival (DFS) in GC patients. Multivariate analysis confirmed that Trim47 expression was an independent prognostic factor for GC patients. Bioinformatics analysis and western blot indicated Trim47 might regulate GC through NF-κB, EMT, hypoxia, and apoptosis signaling pathway in GC. Our results show that Trim47 has the potential to serve as a novel prognostic biomarker in GC patients.

FYN promotes gastric cancer metastasis by activating STAT3-mediated epithelial-mesenchymal transition.

Gastric cancer is one of the most lethal cancers worldwide. FYN, a gene that is differentially expressed in gastric cancer, is considered a critical metastasis regulator in several solid tumors, but its role in gastric cancer is still unclear. This study aimed to evaluate the role of FYN and test whether FYN promotes migration and invasion of gastric cancer cells in vitro and in vivo via STAT3 signaling. FYN was overexpressed in gastric cancer and positively correlated with metastasis. FYN knockdown significantly decreased cancer cell migration and invasion, whereas FYN overexpression increased cancer migration and invasion. Genetic inhibition of FYN decreased the number of metastatic lung nodules in vivo. Several epithelial-mesenchymal transition markers were positively correlated with FYN expression, indicative of FYN involvement in this transition. Furthermore, gene set enrichment analysis of a Cancer Genome Atlas dataset revealed that the STAT3 signaling pathway was positively correlated with FYN expression. STAT3 inhibition reversed the FYN-mediated epithelial-mesenchymal transition and suppressed metastasis. In conclusion, FYN promotes gastric cancer metastasis possibly by activating STAT3-mediated epithelial mesenchymal transition and may be a novel therapeutic target for gastric cancer.

The Anti-Tumor Effect of Nab-Paclitaxel Proven by Patient-Derived Organoids.

BACKGROUND: Nab-paclitaxel has been widely used in treating breast cancer and pancreatic patients for its low toxicity and high efficiency. However, its role in gastric cancer (GC) remains ambiguous. The aim of our study was to test the anti-tumor activity of nab-paclitaxel using GC patient-derived organoids. METHODS: By using the organoid culture system, we describe the establishment of human gastric cancer organoid lines from surgical samples of three patients with gastric cancer. The consistency of these organoids with original cancer tissues was evaluated by histopathological examination. The characteristics of the cancer organoids were tested using immunofluorescence (IF) staining. Using organoids, the anti-tumor efficiencies of nab-paclitaxel, 5-Fu and epirubicin were compared by CCK8 assay and Annexin V-FITC/PI staining. RESULTS: Three organoids were successfully established and passaged. The morphology of the established GC organoids was consistent with original cancer tissues. The IC50 of nab-paclitaxel was 3.68 µmol/L in hGCO1, 2.41 µmol/L in hGCO2 and 2.91 µmol/L in hGCO3, which was significantly lower than those of 5-FU (72.99 µmol/L in hGCO1, 28.32 µmol/L in hGCO2 and 2.91 µmol/L in hGCO3) and epirubicin (25.85µmol/L in hGCO1, 15.15 µmol/L in hGCO2 and 7.60 µmol/L in hGCO3). When each organoid lines were treated with nab-paclitaxel for increasing period of time, the percentage of the apoptotic cells in each organoid increased accordingly. CONCLUSION: Nab-paclitaxel showed strong anti-tumor activity and had the potential to become front-line drug for treating GC patients. Gastric cancer organoid may be a good tool to predict in vivo response to drugs.

Long non-coding RNA H19 promotes colorectal cancer metastasis via binding to hnRNPA2B1.

BACKGROUND: Long non-coding RNA H19 was demonstrated to be significantly correlated with tumor metastasis. However, the specific functions of H19 in colorectal cancer (CRC) metastasis and the underlying mechanism are still largely unclear. METHODS: Use public database to screen the potential lncRNA crucial for metastasis in colorectal cancer. The expression of H19 in clinical CRC specimens was detected by qRT-PCR. The effect of H19 on the metastasis of CRC cells was investigated by transwell, wound healing assays, CCK-8 assays and animal studies. The potential proteins binding to H19 were identified by LC-MS and verified by RNA immunoprecipitation (RIP). The expression of indicated RNA and proteins were measured by qRT-PCR or western blot. RESULTS: We found the expression of lncRNA H19 was significantly upregulated in primary tumor and metastatic tissues, correlated with poor prognosis in CRC. Ectopic H19 expression promoted the metastasis of colorectal cancer cells in vitro and in vivo, and induced epithelial-to-mesenchymal transition (EMT). Mechanistically, H19 directly bound to hnRNPA2B1. Knockdown of hnRNPA2B1 attenuated the H19-induce migration and invasion in CRC cells. Furthermore, H19 stabilized and upregulated the expression of Raf-1 by facilitated the interaction between hnRNPA2B1 and Raf-1 mRNA, resulting in activation of Raf-ERK signaling. CONCLUSIONS: Our findings demonstrate the role of H19/hnRNPA2B1/EMT axis in regulation CRC metastasis, suggested H19 could be a potential biomarker to predict prognosis as well as a therapeutic strategy for CRC.

Immune-infiltration based signature as a novel prognostic biomarker in gastrointestinal stromal tumour.

BACKGROUND: Accumulating evidence indicates that tumour-infiltrating lymphocytes (TILs) are the primary determinant of survival outcomes in various tumours. Thus, we sought to investigate the TIL distribution and density in gastrointestinal stromal tumours (GISTs) and to develop an immune infiltration (II)-based signature to predict prognosis. METHODS: The expression of 8 immune features in the tumour centre (TC) and tumour margin (TM) and PD-L1 in 435 GIST patients was investigated by immunohistochemistry. Then, a 4-feature-based II-GIST signature integrating the CD3+ TC, CD3+ TM, CD8+ TM and CD45RO+ TM parameters was developed using a LASSO Cox regression model in the training cohort and was validated in two separate validation cohorts. FINDINGS: High CD3+ TC, CD3+ TM, CD8+ TC, CD8+ TM, CD45RO+ TM, NKp46+ TM and CD20+ TM correlated with improved survival. Patients with high II-GIST scores have better RFS and OS outcomes than those with low II-GIST scores. Multivariable analyses demonstrated that the II-GIST signature is an independent prognostic factor. The receiver operating characteristic (ROC) curve demonstrated that the prognostic accuracy of the II-GIST signature is superior to that of the NIH risk criteria. Further analysis showed that moderate- and high-risk GIST patients with high II-GIST scores could gain survival benefits from adjuvant imatinib therapy. INTERPRETATION: The novel II-GIST signature accurately predicted the survival outcomes of GIST patients. In addition, the II-GIST signature was a useful predictor of survival benefit from imatinib therapy amongst moderate- and high-risk patients with GIST. FUNDING: This project was supported by National Natural Science Foundation of China (81702325), Natural Science Foundation of Guangdong Province (2017A030310565), and 3&3 Project of the First Affiliated Hospital of Sun Yat-sen University.

Gastric cancer in young patients: a separate entity with aggressive features and poor prognosis.

PURPOSE: To investigate the clinicopathological features and survival outcomes between young and old patients with gastric cancer (GC), and further determine the role of young age in the prognosis of GC. METHODS: Patients with stage I-III gastric adenocarcinomas undergoing curative surgery were enrolled, divided into young (aged 18-49 years, YG), middle-aged (50-59 years, MG), and old (≥ 60 years, OG) groups. Exclusion criteria were neoadjuvant therapy and history of malignant tumors. Clinicopathological features, overall survival (OS), disease-free survival (DFS), and recurrence patterns were compared among three groups. RESULTS: 1131 patients were finally included, with 270, 314, and 547 cases in the YG, MG, and OG, respectively. Compared to others, YG had higher proportion of female, middle-third gastric cancer, poor differentiation, N3b stage, and adjuvant chemotherapy. YG demonstrated poorer 5-year OS than MG (62.4% vs. 70.8%, P = 0.019), but better than OG (62.4% vs. 58.7%, P = 0.031). YG also suffered inferior 5-year DFS (75.2% vs. 82.8%, P = 0.040) compared with MG, and higher incidence of peritoneal recurrence than MG (15.1% vs. 5.2%, P < 0.001) and OG (15.1% vs. 4.1%, P < 0.001). Multivariate analysis identified young age as the independent prognostic factor for OS [hazard ratio (HR) = 1.347, 95% CI 1.018-1.781, P = 0.037], DFS (HR = 1.601, 95% CI 1.079-2.376, P = 0.019), and peritoneal recurrence (HR = 2.936, 95% CI 1.505-5.726, P = 0.002). CONCLUSIONS: Young GC patients demonstrated aggressive features with poor prognosis and enhanced management may be warranted for this subgroup.

Transcriptome hallmarks in Helicobacter pylori infection influence gastric cancer and MALT lymphoma.

Aim: Altered long noncoding RNA (lncRNA) and mRNA is vital in the progression from Helicobacter pylori (H. pylori, HP) infection to gastric cancer (GC) and mucosa-associated lymphoid tissue (MALT) lymphoma. Materials & methods: Five independent Gene Expression Omnibus datasets (GSE5081, GSE84433, GSE15459, GSE66229 and GSE25638) were included in our study. Results: Differentially expressed lncRNAs and mRNAs in both H. pylori-positive gastritis and GC tissues were identified. Using two GC cohorts, the H. pylori-related mRNA DYNC1I1 and MMP7 were independent predictors of overall survival. Moreover, the expressions of lncRNA GHRLOS and 44 mRNAs were significantly changed in gastric MALT lymphoma patients. Conclusion: The lncRNA/mRNA response to H. pylori infection in gastritis and GC influence the outcome of GC and progression of MALT lymphoma.

Gender Differences in Gastric Cancer Survival: 99,922 Cases Based on the SEER Database.

OBJECTIVES: To evaluate gender differences in initial presentation, pathology and outcomes with GC (GC). METHODS: The 1973-2013 Surveillance Epidemiology and End Results (SEER) 17-registry database was analysed for renal tumours from 1973 to 2013 coded as primary site "stomach". After various exclusions, a final study group of 99,922 cases with complete data was obtained. Demographic variables analysed included age, sex, marital status and race. Tumour variables included size, stage at diagnosis, grade, primary site, treatment and histology. Primary outcome variables included overall survival (OS) and cancer-specific survival (CSS). RESULTS: Overall, 96,501 gastric cancer patients were identified. Of those, 34,862 (36.2%) were women. For woman, log-rank test showed that OS and CSS were significantly longer in man (p < 0.0001). In Cox regression analysis, woman was associated with a significantly improved OS [(HR of death in 1973 to 2003 = 0.87, 95% CI = 0.85-0.89, P < 0.001) (HR of death in 2004 to 2013 = 0.94, 95% CI = 0.91-0.97, P < 0.001)] and cancer-specific survival [(HR of death in 1973 to 2003 = 0.90, 95% CI = 0.87-0.92, P < 0.001) (HR of death in 2004 to 2013 = 0.90, 95% CI = 0.87-0.93, P < 0.001)]. When performing a Kaplan-Meier curve analysis after propensity score matching, gender persisted to be a significant survival of woman for OS and CSS. CONCLUSIONS: Men present with larger, higher stage, higher grade GC than women. OS and CSS are better in women, which is significantly different.

The prognostic roles of platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in gastrointestinal stromal tumours: a meta-analysis.

BACKGROUND: The platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) have been found to be associated with prognosis in several solid tumours. However, the prognostic roles of PLR and NLR in gastrointestinal stromal tumours (GISTs) remain controversial. The aim of this meta-analysis was to assess the prognostic roles of PLR and NLR in GISTs. METHODS: We searched MEDLINE, EMBASE and the Cochrane Library for relevant articles. A systematic review was performed to calculate pooled hazard ratios (HRs) for disease-free survival (DFS) and overall survival (OS) by fixed-effects/random-effects models. RESULTS: Fourteen studies containing 3,151 subjects were finally enrolled in this meta-analysis. Eight studies including 2,560 patients investigated the prognostic effect of PLR, and thirteen studies with 2,751 subjects explored the prognostic effect of NLR. Both elevated PLR (HR: 1.29, 95% CI: 1.10-1.52, P=0.002) and NLR (HR: 1.37, 95% CI: 1.15-1.63, P=0.0005) were significantly associated with decreased DFS. The pooled HR for PLR was not significantly different from that for NLR. High PLR and NLR correlated with increased tumour sizes, more advanced tumour stages and mitotic index (>5/50 HPF). In addition, elevated PLR was related to adjuvant tyrosine kinase inhibitor (TKI) therapy. CONCLUSIONS: Elevated preoperative PLR and NLR are associated with poor outcomes in patients with GISTs.