ABSTRACT
The present study aimed to investigate the potential molecular mechanisms by which galectin1 (Gal1) and glucoseregulated protein 78 (GRP78) influence the development of malignant gastric cancer (GC). Immunohistochemistry and western blotting were used to map the expression and location of the Gal1 gene in the 80 paraffinembedded GC samples, 16 fresh samples and surrounding tissues. Gal1 was overexpressed and knocked down using lentiviral vectors in the human GC cell lines HGC27 and AGS. Through the use of the Cell Counting Kit8 assay, clone formation assay, wound healing assay, invasion assay and tumor xenograft, the possible biological roles of Gal1 were further evaluated. The downstream interacting proteins were predicted by the BioGRID database, and GRP78 was chosen for further investigation. Immunofluorescence labeling and CoIP were used to confirm the connection. The statistical tests utilized were the twotailed paired Student's ttest, χ2 test, KaplanMeier and Cox regression analysis, and Spearman's rank correlation coefficients. In GC, Gal1 is extensively expressed and has the potential to interact with GRP78. Poor prognosis is linked to high levels of GRP78 and Gal1 expression in patients with GC. According to the functional study, Gal1 knockdown prevented cells from thriving and pushed Gal1 expression, which aided in the proliferation, migration and invasion of GC. Gal1 overexpression additionally aided the development of subcutaneous xenograft tumors. The mechanistic investigation proved that GRP78 and Gal1 interacted, accelerating the course of GC. Gal1 silencing had an inhibitory effect on the proliferation of HGC27 cells that was removed by ectopic GRP78 expression, whereas the stimulating effects of Gal1 overexpression in AGS cells were inhibited by GRP78 knockdown. In conclusion, Gal1 interacts with GRP78 to facilitate the advancement of GC. The Gal1/GRP78 axis is supported by the functional data of the present study as a possible GC treatment target.
Subject(s)
Endoplasmic Reticulum Chaperone BiP , Galectin 1 , Stomach Neoplasms , Animals , Benzamides , Cell Line, Tumor , Cell Movement/genetics , Cell Proliferation/genetics , Endoplasmic Reticulum Chaperone BiP/metabolism , Galectin 1/genetics , Gene Expression Regulation, Neoplastic , Humans , Prognosis , Stomach Neoplasms/pathology , Tyrosine/analogs & derivativesABSTRACT
OBJECTIVES: However, the pathogenesis and etiology of CP/CPPS are still poorly understood. Therefore, there is a need for further research through the Image J software to develop models capable of imitating the pathogenesis and etiology of CP/CPPS with different doses of the pathogenesis and the etiology of CP/CPPS is still poorly understood. The aim was to determine the area of the prostatic interstitium, the localization of the inflammation, and the impact of different doses on the group model. MATERIALS AND METHODS: A total of 30 male ICR mice were randomly grouped into 5 (n = 6): 45 µg group = 6, 60 µg group = 6, 90 µg group = 6, 120 µg group = 6, 120 µg group = 6, control group = 6. With the exception of the control group, all the groups were immunized by injecting 0.2 mL of T2 peptide emulsion and immune adjuvant CFA to induce non-bacterial chronic prostatitis on days 0 and 14 of the mice and finally executed on day 28. All injections were administered subcutaneously. HE staining was used to evaluate changes in prostate pathology. Image J was used to calculate the area of the prostate interstitium, which represents the degree of prostate edema. To compare statistical differences between groups, the ANOVA test was used. RESULTS: From the perspective of pathological scoring, the 60 µg, 90 µg, and 120 µg groups had the highest scores using Image J to treat inflammatory cells. In addition, in the prostate interstitium area treated, it was found that the 90 µg group attained the largest prostate interstitial area as well as the highest degree of swelling. CONCLUSIONS: From the results, Image J software is an effective tool in the calculating the surface of the prostatic interstitium and the specific localization of the inflammation.