In-depth metaproteomics analysis of tongue coating for gastric cancer: a multicenter diagnostic research study.

BACKGROUND: Our previous study revealed marked differences in tongue images between individuals with gastric cancer and those without gastric cancer. However, the biological mechanism of tongue images as a disease indicator remains unclear. Tongue coating, a major factor in tongue appearance, is the visible layer on the tongue dorsum that provides a vital environment for oral microorganisms. While oral microorganisms are associated with gastric and intestinal diseases, the comprehensive function profiles of oral microbiota remain incompletely understood. Metaproteomics has unique strength in revealing functional profiles of microbiota that aid in comprehending the mechanism behind specific tongue coating formation and its role as an indicator of gastric cancer. METHODS: We employed pressure cycling technology and data-independent acquisition (PCT-DIA) mass spectrometry to extract and identify tongue-coating proteins from 180 gastric cancer patients and 185 non-gastric cancer patients across 5 independent research centers in China. Additionally, we investigated the temporal stability of tongue-coating proteins based on a time-series cohort. Finally, we constructed a machine learning model using the stochastic gradient boosting algorithm to identify individuals at high risk of gastric cancer based on tongue-coating microbial proteins. RESULTS: We measured 1432 human-derived proteins and 13,780 microbial proteins from 345 tongue-coating samples. The abundance of tongue-coating proteins exhibited high temporal stability within an individual. Notably, we observed the downregulation of human keratins KRT2 and KRT9 on the tongue surface, as well as the downregulation of ABC transporter COG1136 in microbiota, in gastric cancer patients. This suggests a decline in the defense capacity of the lingual mucosa. Finally, we established a machine learning model that employs 50 microbial proteins of tongue coating to identify individuals at a high risk of gastric cancer, achieving an area under the curve (AUC) of 0.91 in the independent validation cohort. CONCLUSIONS: We characterized the alterations in tongue-coating proteins among gastric cancer patients and constructed a gastric cancer screening model based on microbial-derived tongue-coating proteins. Tongue-coating proteins are shown as a promising indicator for identifying high-risk groups for gastric cancer. Video Abstract.

Deep learning radio-clinical signatures for predicting neoadjuvant chemotherapy response and prognosis from pretreatment CT images of locally advanced gastric cancer patients.

BACKGROUND: Early noninvasive screening of patients who would benefit from neoadjuvant chemotherapy (NCT) is essential for personalized treatment of locally advanced gastric cancer (LAGC). The aim of this study was to identify radio-clinical signatures from pretreatment oversampled computed tomography (CT) images to predict the response to NCT and prognosis of LAGC patients. METHODS: LAGC patients were retrospectively recruited from six hospitals from January 2008 to December 2021. An SE-ResNet50-based chemotherapy response prediction system was developed from pretreatment CT images preprocessed with an imaging oversampling method (i.e. DeepSMOTE). Then, the deep learning (DL) signature and clinic-based features were fed into the deep learning radio-clinical signature (DLCS). The predictive performance of the model was evaluated based on discrimination, calibration, and clinical usefulness. An additional model was built to predict overall survival (OS) and explore the survival benefit of the proposed DL signature and clinicopathological characteristics. RESULTS: A total of 1060 LAGC patients were recruited from six hospitals; the training cohort (TC) and internal validation cohort (IVC) patients were randomly selected from center I. An external validation cohort (EVC) of 265 patients from five other centers was also included. The DLCS exhibited excellent performance in predicting the response to NCT in the IVC [area under the curve (AUC), 0.86] and EVC (AUC, 0.82), with good calibration in all cohorts ( P >0.05). Moreover, the DLCS model outperformed the clinical model ( P <0.05). Additionally, we found that the DL signature could serve as an independent factor for prognosis [hazard ratio (HR), 0.828, P =0.004]. The concordance index (C-index), integrated area under the time-dependent ROC curve (iAUC), and integrated Brier score (IBS) for the OS model were 0.64, 1.24, and 0.71 in the test set. CONCLUSION: The authors proposed a DLCS model that combined imaging features with clinical risk factors to accurately predict tumor response and identify the risk of OS in LAGC patients prior to NCT, which can then be used to guide personalized treatment plans with the help of computerized tumor-level characterization.

Vision Measurement Method Based on Plate Glass Window Refraction Model in Tunnel Construction.

Due to the harsh environment of high humidity and dust in tunnel construction, the vision measurement system needs to be equipped with an explosion-proof glass protective cover. The refractive effect of the plate glass window invalidates the pinhole model. This paper proposes a comprehensive solution for addressing the issue of plane refraction. First, the imaging model for non-parallel plane refraction is established based on dynamic virtual focal length and the Rodriguez formula. Further, due to the failure of the epipolar constraint principle in binocular vision systems caused by plane refraction, this paper proposes the epipolar constraint model for independent refractive plane imaging. Finally, an independent refraction plane triangulation model is proposed to address the issue of triangulation failure caused by plane refraction. The RMSE of the depth of field errors in the independent refraction plane triangulation model is 2.9902 mm before correction and 0.3187 mm after correction. The RMSE of the positioning errors before and after correction are 3.5661 mm and 0.3465 mm, respectively.

HAND2-AS1 Inhibits Gastric Adenocarcinoma Cells Proliferation and Aerobic Glycolysis via miRNAs Sponge.

OBJECTIVE: To study the effect of lncRNA HAND2-AS1 on gastric adenocarcinoma (GA) cell property and explore its specific mechanism. METHODS: Data on stomach adenocarcinoma (STAD) were analyzed to screen differentially expressed lncRNA HAND2-AS1. RNA22-HAS database and dual luciferase reporter assay were applied to confirm the target relationship between HAND2-AS1/HIF3A and miR-184. The HAND2-AS1 and miR-184 expressions in tissue or cells were determined by qRT-PCR and Western blot. Besides, after GA cells (AGS) cultured in normoxic and hypoxic condition, phosphoenolpyruvate (PEP) and lactic acid were quantified by Phosphoenolpyruvate Fluorometric Assay Kit and Lactic Acid Detection kit, respectively. Additionally, colony formation assay, transwell invasion and migration assays were used to evaluate the abilities of cell invasion, migration, and proliferation in distinct conditions. RESULTS: The HAND2-AS1 and HIF3A expressions were down-regulated and miR-184 expression was up-regulated in GA tissues and cells. Dual luciferase reporter assay confirmed HAND2-AS1 and HIF3A were targeted by miR-184. AGS cell proliferation abilities were restrained by HAND2-AS1 and HIF3A overexpression and enhanced by miR-184, as well as migration and invasion abilities. In addition, HAND2-AS1 rescued enhanced AGS cell proliferation, cell migration, cell invasion abilities and glycolytic process caused by hypoxia via miR-184/HIF3A. CONCLUSION: LncRNA HAND2-AS1 could inhibit GA cell proliferation, migration and invasion abilities and glycolytic process induced by hypoxia through miR-184/HIF3A signaling.

Peritoneal metastatic gastric carcinoma cells exhibit more malignant behavior when co-cultured with HMrSV5 cells.

Metastasis and recurrence are major causes of death in gastric cancer patients. Because there are no obvious clinical symptoms during the early stages of metastasis, we sought to isolate highly invasive metastatic gastric cancer cells for future drug screening. We first established a mouse model to observe gastric cancer metastasis in vivo. The incidence of peritoneal metastasis of gastric cancer was much higher than liver or lymph metastasis. Peritoneal metastatic and non-metastatic NUGC-4 cells were isolated from the mouse model. Cell proliferation was measured using CCK-8 assays, while migration and invasion were investigated in Transwell assays. Proteins involved in epithelial-mesenchymal transition were detected by Western blotting. Metastatic gastric carcinoma cells were more proliferative and invasive than primary NUGC-4 cells. The supernatants of metastatic gastric carcinoma cells notably altered the morphology of HMrSV5 peritoneal mesothelial cells and promoted their epithelial-mesenchymal transition. Moreover, primary or metastatic gastric cancer cells co-cultured with HMrSV5 cells markedly increased cancer cell proliferation and invasiveness. Moreover, peritoneal metastatic gastric carcinoma cells in the presence of HMrSV5 cells exhibited most malignant behaviors. Thus, peritoneal metastatic gastric carcinoma cells exhibited high capacities for proliferation and invasion, and could be used as a new drug screening tool for the treatment of advanced gastric cancer and peritoneal metastatic gastric cancer.

Cisplatin resistance in gastric cancer cells is involved with GPR30-mediated epithelial-mesenchymal transition.

Cisplatin is the major chemotherapeutic drug in gastric cancer, particularly in treating advanced gastric cancer. Tumour cells often develop resistance to chemotherapeutic drugs, which seriously affects the efficacy of chemotherapy. GPR30 is a novel oestrogen receptor that is involved in the invasion, metastasis and drug resistance of many tumours. Targeting GPR30 has been shown to increase the drug sensitivity of breast cancer cells. However, few studies have investigated the role of GPR30 in gastric cancer. Epithelial-mesenchymal transition (EMT) has been shown to be associated with the development of chemotherapeutic drug resistance. In this study, we demonstrated that GPR30 is involved in cisplatin resistance by promoting EMT in gastric cancer. GPR30 knockdown resulted in increased sensitivity of different gastric cancer (GC) cells to cisplatin and alterations in the epithelial/mesenchymal markers. Furthermore, G15 significantly enhanced the cisplatin sensitivity of GC cells while G1 inhibited this phenomenon. In addition, EMT occurred when AGS and BGC-823 were treated with cisplatin. Down-regulation of GPR30 with G15 inhibited this transformation, while G1 promoted it. Taken together, these results revealed the role of GPR30 in the formation of cisplatin resistance, suggesting that targeting GPR30 signalling may be a potential strategy for improving the efficacy of chemotherapy in gastric cancer.

Overexpression of B7H5/CD28H is associated with worse survival in human gastric cancer.

Gastric cancer (GC) is a common malignancy with low 5-year overall survival (OS). Recently, immune therapy has been used to treat cancer. B7H5 and CD28H are novel immune checkpoint molecules. However, the prognostic value of B7H5/CD28H expression in patients with GC remains unclear. In this study, seventy-one patients diagnosed with GC were included in this study. Patients' GC tissues and matched adjacent tissue constructed a tissue microarray. The expression levels of B7H5 and CD28H were examined using immunohistochemistry. Correlations between the expression of B7H5 and CD28H and the clinical data were evaluated. We found that the expression of B7H5 and CD28H (both P = .001) were higher in GC tumour tissues than in adjacent noncancerous tissues. B7H5/CD28H expression acted as an independent predictive factor in the OS of patients with GC. High expression of B7H5 and CD28H predicted poor outcome. Patients in the B7H5+CD28H+ group had a lower 5-year OS compared with patients in the B7H5-CD28- group (4.5% vs 55.6%, P = .001). A significant difference was found in the 5-year OS between patients in the B7H5+CD28H- and B7H5+CD28H+ groups (33.5% vs 4.5%, P = .006). However, there was no correlation between B7H5 and CD28H expression (P = .844). Therefore, B7H5 and CD28H expression are up-regulated in GC and are independent prognostic factors for overall survival in patients with GC. Although there was no correlation between B7H5 and CD28H expression, high expression of B7H5 and CD28H predicts poor prognosis, especially when both are highly expressed.

Evaluation of D2-plus radical resection for gastric cancer with pyloric invasion.

BACKGROUND: The optimal lymphadenectomy for gastric cancer (GC) with pyloric invasion is controversial because the pattern of lymph node metastasis is different from that of distal GC. The rate of lymph node metastasis into the posterior area of the pancreatic head and hepatoduodenal ligament is high. This study evaluated the estimated benefit of radical gastrectomy with D2-plus lymphadenectomy in patients with pyloric invasion. METHODS: All patients with GC invading the pylorus who underwent curative surgical resection with D2-plus lymphadenectomy between February 2013 and September 2015 were enrolled in the study. The index of estimated benefit from lymph node dissection (IEBLD) was calculated by multiplying the incidence of metastasis to each lymph node station by the 3-year overall survival (OS) rate of patients with metastasis to that station. RESULTS: In total, 128 patients were eligible. The rate of lymph node metastasis and the 3-year OS rate (and IEBLD) of the patients with metastasis to lymph nodes were 14.3 and 44.4% (5.56) for No. 8p, 10.9 and 35.7% (3.89) for No. 12b, 9.5 and 33.3% (3.13) for No. 12p, 18.8 and 54.2% (10.19) for No. 13, and 21.8 and 53.6% (11.68) for No. 14v, respectively. CONCLUSIONS: In radical gastrectomy for GC with pyloric invasion, some survival benefit was observed with dissection of the No. 13 and No. 14 lymph nodes, but there was no survival benefit with dissection of the No. 8p lymph nodes. The No. 12b and No. 12p lymph nodes may be better to dissect in cT3 GC patients with pyloric invasion. TRIAL REGISTRATION: http://ClinicalTrials.gov Identifier: NCT01836991. Date of registration: April 17, 2013.

Apatinib enhances chemosensitivity of gastric cancer to paclitaxel and 5-fluorouracil.

Background and aim: Paclitaxel (PTX) plus 5-fluorouracil (5-Fu) has become the standard chemotherapy for advanced gastric cancer (GC). Apatinib, a small-molecule tyrosine kinase inhibitor targeting vascular endothelial growth factor receptor-2, improves outcomes in GC patients as a third-line treatment. However, its impact on the chemosensitivity of GC remains to be determined. Hence, we aimed to assess the efficacy and safety of apatinib combined with chemotherapy in vivo and in vitro. Methods: The MGC803 cell viability was determined by Cell Counting Kit-8 assay, and the interactions between apatinib and conventional cytotoxic agents revealed by combination index values were calculated using Calcusyn 2.0 software. We also used a zebrafish embryo xenograft model to validate the synergistic interactions. Furthermore, 4 patients with late-stage GC were enrolled to explore the efficacy and safety of PTX/Tegafur Gimeracil Oteracil Potassium (S1) (PS) chemotherapy plus apatinib in conversion surgery. Results: Apatinib showed synergistic interactions with both PTX and 5-Fu in vivo. The zebrafish embryo xenograft model also demonstrated that apatinib significantly enhanced the antitumor activity of PTX and 5-Fu. Apatinib plus PS chemotherapy was well tolerated before surgery. Objective response to preoperative SPA treatment was achieved in all 4 patients. No postoperative bleeding events or wound-healing complications were observed. No postperative morbidity occurred and no morbidity was encountered. Pathological examination showed that all patients had grade Ib pathological response. Conclusion: The experimental data suggested that apatinib improves the efficacy of PTX and 5-Fu both in vitro and in vivo. Clinical evidence showed that a combination of PS chemotherapy with apatinib may be an efficient and acceptable safety treatment for late-stage GC, especially in conversion surgery.

eIF5A2 regulates the resistance of gastric cancer cells to cisplatin via induction of EMT.

Cisplatin is the first-line chemotherapy drug for gastric cancer (GC), but treatment failure often occurs due to development of resistance. The mechanism of cisplatin resistance remains a mystery. Eukaryotic translation initiation factor 5A2 (eIF5A2) is an important tumor-promoting factor and has been rarely studied in GC. This study aimed to investigate the role of eIF5A2 in cisplatin resistance of GC cells and its relationship with epithelial-mesenchymal transition (EMT). We found that it is negative correlation between cisplatin resistance and eIF5A2's expression in GC cells. Silencing of eIF5A2 enhanced the sensitivity of GC cells to cisplatin, while overexpression of eIF5A2 decreased sensitivity. Cisplatin treatment induced gene expression changes consistent with EMT. EMT was blocked and the sensitivity of GC cells to cisplatin was increased by inhibiting the expression of Twist, indicating that EMT regulates the sensitivity of GC cells to cisplatin. Knockdown of eIF5A2 was associated with upregulation of the epithelial markers E-cadherin and ß-catenin, while the expression of mesenchymal markers vimentin and N-cadherin decreased, indicating that eIF5A2 can reverse the EMT process and block the effect of cisplatin on EMT-related markers. Knockdown or overexpression of eIF5A2 did not affect the sensitivity of gastric cancer cells to cisplatin by Twist siRNA. Altogether, these data suggest that eIF5A2 regulates the resistance of gastric cancer cells to cisplatin by mediating EMT, and support the conclusion that eIF5A2 may be a molecular target for anti-tumor therapy.