Background: Hypoxia and inflammation tumor microenvironment (TME) play a crucial role in tumor development and progression. Although increased understanding of TME contributed to gastric cancer (GC) progression and prognosis, the direct interaction between macrophage and GC cells was not fully understood. Methods: Hypoxia and normoxia macrophage microarrays of GEO database was analyzed. The peripheral blood mononuclear cell acquired from the healthy volunteers. The expression of C-X-C Motif Chemokine Ligand 8 (CXCL8) in GC tissues and cell lines was detected by quantitative reverse transcription PCR (qRT-PCR), western-blot, Elisa and immunofluorescence. Cell proliferation, migration, and invasion were evaluated by cell counting kit 8 (CCK8), colony formation, real-time imaging of cell migration and transwell. Flow Cytometers was applied to identify the source of cytokines. Luciferase reporter assays and chromatin immunoprecipitation were used to identify the interaction between transcription factor and target gene. Especially, a series of truncated and mutation reporter genes were applied to identify precise binding sites. The corresponding functions were verified in the complementation test and in vivo animal experiment. Results: Our results revealed that hypoxia triggered macrophage secreted CXCL8, which induced GC invasion and proliferation. This macrophage-induced GC progression was CXCL8 activated C-X-C Motif Chemokine Receptor 1/2 (CXCR1/2) on the GC cell membrane subsequently hyperactivated Janus kinase 1/ Signal transducer and activator of transcription 1 (JAK/STAT1) signaling pathway. Then, the transcription factor STAT1 directly led to the overexpression and secretion of Interleukin 10 (IL-10). Correspondingly, IL-10 induced the M2-type polarization of macrophages and continued to increase the expression and secretion of CXCL8. It suggested a positive feedback loop between macrophage and GC. In clinical GC samples, increased CXCL8 predicted a patient’s pessimistic outcome. Conclusion: Our work identified a positive feedback loop governing cancer cells and macrophage in GC that contributed to tumor progression and patient outcome.

Background: To investigate the clinical significance of ubiquitin-specific peptidase 19 (USP19) expression in gastric cancer (GC) compared with that in normal tissues and gastric cell lines. Methods: USP19 protein expression was analyzed in 212 paired GC samples using immunohistochemical staining. Quantitative real-time PCR (qRT-PCR) and Western blotting were used to detect the level of USP19 in gastric cell lines. The biological functions of USP19 were investigated by MTT assay, colony-forming assay, wound healing assay and gelatin zymography, and apoptotic cells were detected by immunohistochemistry assays in SGC7901 xenograft models. Results: USP19 expression was significantly increased in GC cells and tissues, and the high level of USP19 expression was positively correlated with the Lauren’s classification and poor prognosis. Moreover, USP19 was identified as a novel independent prognostic biomarker in GC patients. Enhanced USP19 expression promoted GC cell proliferation and metastasis through reduced cleaved caspase-3 and increased MMP2/MMP9 expression and promoted enzyme activity in the study, and verified the results through The Cancer Genome Atlas (TCGA) and bioinformatic websites from the Kaplan–Meier plotter (http://kmplot.com) and GEPIA (http://gepia2.cancer-pku.cn.). Conclusion: Our study suggests that USP19 promoted tumor progression by inducing MMP2/MMP9 expression and related enzyme activity. Hence, USP19 may be a valuable prognostic predictor for GC, and the USP19-MMP2/MMP9 axis could serve as a therapeutic target.

Accumulating evidence suggests that the epigenetic alterations caused by histone modifications have important roles in the genesis of gastric cancer (GC), particularly the well‑studied acetylation and methylation modifications. In the present study, a Bioinformatics analysis of the expression of histone modification‑associated genes in GC and normal tissues was performed by using datasets from Oncomine, the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). The clinical data of GC patients were downloaded from TCGA to determine the association between histone modification‑associated gene expression and clinicopathological parameters or survival of GC. Finally, lysine acetyltransferase 2A (KAT2A), nuclear receptor coactivator 1 (NCOA1), SMYD family member 5 (SMYD5), protein arginine methyltransferase 1 (PRMT1) and PRDF1‑RIZ (PR)/Su(var)3‑9, enhancer‑of‑zeste and trithorax (SET) domain 16 (PRDM16) were screened; KAT2A, SMYD5 and PRMT1 were upregulated, while PRDM16 expression was downregulated in GC. Analysis of the GEO and Oncomine datasets revealed that NCOA1 was upregulated, which was contrary to the result obtained with the TCGA stomach adenocarcinoma dataset. Aberrant expression of KAT2A, NCOA1, SMYD5 and PRMT1 was more obvious in gastric intestinal‑type adenocarcinoma; low NCOA1 expression was associated with better overall survival of GC patients [hazard ratio (HR)=0.690, 95% CI=0.570‑0.840, P<0.001] and was an independent predictor for patients diagnosed with GC (HR=0.639, 95% CI=0.437‑0.933, P=0.020). Correlation analysis and protein‑protein interaction network analysis indicated a close association between ATAD2 and estrogen receptor 1 (ESR1), PRMT1, NCOA1 and KAT2A. In conclusion, differential expression of KAT2A, NCOA1, SMYD5, PRMT1 and PRDM16 was identified in GC vs. normal tissues, low NCOA1 expression was associated with poor survival of GC and ATAD2 may interact with ESR1 to regulate NCOA1 and PRMT1 in GC.

Background: Gastric cancer (GC) accounts for high mortality. RNA methylation has recently gained interest as markers in specific tumors. This study aimed to uncover the function of the roles of 25 RNA methylation regulators in GC. Methods: RNA sequence and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. “STRING” and R were performed to analyze the correlation among the methylase. COX and LASSO were performed to screen for prognostic associated RNA methylation regulators. A prognostic model was established based on the expression of methylase. RT-PCR and immunohistochemistry detected the expression of methylase in GC cells and tissue. Kaplan–Meier curve and Cox analysis were applied to evaluate the effectiveness of the model. Results: The prediction model was established based on the expression of m6A RNA methylation regulators FTO (fat mass and obesity-associated) and RBM15 (RNA binding motif protein 15). Based on the model, GC patients were divided into “high risk” and “low risk” groups to compare the differences in survival. The model was re-evaluated with the clinical data of our center. Conclusion: The two-methylase combination model was an independent prognostic factor of GC.

Gastric cancer (GC) ranks as the third most prevalent malignancy and a leading cause of cancer-related mortality worldwide. However, the majority of patients with GC are diagnosed at an advanced stage, highlighting the urgent need for effective perioperative and postoperative chemotherapy to prevent relapse and metastasis. The current treatment strategies have limited overall efficacy because of intrinsic or acquired drug resistance. Recent evidence suggests that dysregulated long non-coding RNAs (lncRNAs) play a significant role in mediating drug resistance in GC. Therefore, there is an imperative to explore novel molecular mechanisms underlying drug resistance in order to overcome this challenging issue. With advancements in deep transcriptome sequencing technology, lncRNAs—once considered transcriptional noise—have garnered widespread attention as potential regulators of carcinogenesis, including tumor cell proliferation, metastasis, and sensitivity to chemo- or radiotherapy through multiple regulatory mechanisms. In light of these findings, we aim to review the mechanisms by which lncRNAs contribute to drug therapy resistance in GC with the goal of providing new insights and breakthroughs toward overcoming this formidable obstacle.