Outcome of Nursing Based on Health Belief United with Knowledge, Belief, and Practice Mode on Gastroscopy of Patients with Gastric Cancer.

Aim: If gastric cancer can be detected through early screening, and scientific and reasonable intervention methods can be selected in time, the condition can be effectively controlled. Routine nursing has been unable to obtain satisfactory results, and the effect on improving the compliance of the examiner is not outstanding. The research aims to estimate the outcome of nursing based on health belief combined with knowledge, belief, and practice on gastroscopy in patients with gastric cancer. Methods: 126 patients with clinically diagnosed gastric cancer in the Number Two Hospital of Baoding from May 2020 to May 2022 were randomly divided into belief guidance group and mode group, with 63 instances each. The mode group was intervened via the mode of knowledge, belief, and practice, and the belief guidance group was intervened via the nursing based on health belief on the basis of the mode group. Before and after the nursing, the health belief, examination compliance, inappropriateness, and negative emotion in different time periods were contrasted between the two groups. Results: After the nursing, the scores of health belief scale in the belief guidance group were enhanced than those in the mode group; the compliance rate of the belief guidance group was markedly enhanced than that of the mode group, and the inappropriateness during the insertion and examination was lower than that of the mode group; the scores of self-rating anxiety scale (SAS) and self-rating depression scale (SDS) in the two groups preinsertion and postnursing were markedly lower than those in the mode group. Conclusion: Nursing based on health belief guidance united with knowledge, belief, and practice mode nursing can advance the health belief and compliance of gastroscopy in patients with gastric cancer, reduce discomfort, and effectively advance the negative emotions of patients. It is worthy of clinical application.

Gastric cancer in proximal site exerts poorer survival outcome with divergent genetic features than distal site.

BACKGROUND: Anatomical subsites always harbor specific biological features in carcinogenesis. The divergent prognosis of proximal gastric cancer (PGC) and distal gastric cancer (DGC) has been reported. The current study aimed to comprehensively interpret anatomic subsite-specific genomic profiles, which may improve the effectiveness of personalized management. METHODS: Survival and genomic data from the online Surveillance, Epidemiology, and End Results (SEER) and The Cancer Genome Atlas (TCGA) databases were queried for prognostic and genetic analysis, respectively. Propensity score matching (PSM) analysis was performed to balance patient epidemiological factors. Differentially expressed genes (DEGs) were analyzed using the DESeq algorithm. Functional enrichment was performed by the clusterProfiler package. The protein-protein interaction network of DEGs was predicted by the online STRING database. RESULTS: A total of 3,955 patient pairs were assembled by PSM in SEER data with even background characteristics. Prognostic analysis indicated worse overall survival of PGC than DGC (17 vs 20 months, p = 0.0002). Genetic analysis of TCGA database identified 280 DEGs, 90 of which were upregulated in the DGC group and the remaining 190 were upregulated in the PGC group. Functional enrichment analysis indicated that kallikrein serine protease activity, ion channel (Na+/Cl-) activity, and cytoskeleton constituent might be attributed to the poor prognosis observed in PGC. Furthermore, alcohol, retinol, and lipoprotein metabolism were the features for DGC malignancy. CONCLUSION: The current study first demonstrated that PGC exerts poorer survival outcome than DGC based on the SEER database. Further bioinformatic investigation depicts the specific genetic features for PGC and DGC, which may generate differences in tumor malignancy. Our findings provide promising genetic targets for future specific and individualized gastric cancer therapy.

Potential Prognostic Value and Mechanism of Stromal-Immune Signature in Tumor Microenvironment for Stomach Adenocarcinoma.

Stomach adenocarcinoma (STAD) is one of the most common malignancies. But the molecular mechanism is unknown. In this study, we downloaded the transcriptional profiles and clinical data of 344 STAD and 30 normal samples from The Cancer Genome Atlas (TCGA) database. Stromal and immune scores of STAD were calculated by the Estimation of Stromal and Immune cells in Malignant Tumor tissues using Expression data (ESTIMATE) algorithm, and association of stromal/immune scores with tumor differentiation/T/N/M stage and survival was investigated. The differentially expressed genes (DEGs) between high and low score groups (based on media) were identified, and prognostic genes over-/underexpressed in both STAD and stromal/immune signature were retrieved. Furthermore, proportions of 22 infiltrating immune cells for the cohort from TCGA were estimated by the Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm, and association of 22 immune cells with tumor differentiation/T/N/M stage and survival was investigated. Next, coexpression analysis of 22 immune cells and intersection genes over-/underexpressed in both STAD and stromal signature was conducted. We found high stromal and immune scores and macrophage infiltration predicting poor tumor differentiation and severe local invasion, obtained a list of prognostic genes based on stromal-immune signature, and explored the interaction of collagen, chemokines such as CXCL9, CXCL10, and CXCL11, and macrophage through coexpression analysis and may provide novel prognostic biomarkers and immunotherapeutic targets for STAD.