Machine learning-based automated sponge cytology for screening of oesophageal squamous cell carcinoma and adenocarcinoma of the oesophagogastric junction: a nationwide, multicohort, prospective study.

BACKGROUND: Oesophageal squamous cell carcinoma and adenocarcinoma of the oesophagogastric junction have a dismal prognosis, and early detection is key to reduce mortality. However, early detection depends on upper gastrointestinal endoscopy, which is not feasible to implement at a population level. We aimed to develop and validate a fully automated machine learning-based prediction tool integrating a minimally invasive sponge cytology test and epidemiological risk factors for screening of oesophageal squamous cell carcinoma and adenocarcinoma of the oesophagogastric junction before endoscopy. METHODS: For this multicohort prospective study, we enrolled participants aged 40-75 years undergoing upper gastrointestinal endoscopy screening at 39 tertiary or secondary hospitals in China for model training and testing, and included community-based screening participants for further validation. All participants underwent questionnaire surveys, sponge cytology testing, and endoscopy in a sequential manner. We trained machine learning models to predict a composite outcome of high-grade lesions, defined as histology-confirmed high-grade intraepithelial neoplasia and carcinoma of the oesophagus and oesophagogastric junction. The predictive features included 105 cytological and 15 epidemiological features. Model performance was primarily measured with the area under the receiver operating characteristic curve (AUROC) and average precision. The performance measures for cytologists with AI assistance was also assessed. FINDINGS: Between Jan 1, 2021, and June 30, 2022, 17 498 eligible participants were involved in model training and validation. In the testing set, the AUROC of the final model was 0·960 (95% CI 0·937 to 0·977) and the average precision was 0·482 (0·470 to 0·494). The model achieved similar performance to consensus of cytologists with AI assistance (AUROC 0·955 [95% CI 0·933 to 0·975]; p=0·749; difference 0·005, 95% CI, -0·011 to 0·020). If the model-defined moderate-risk and high-risk groups were referred for endoscopy, the sensitivity was 94·5% (95% CI 88·8 to 97·5), specificity was 91·9% (91·2 to 92·5), and the predictive positive value was 18·4% (15·6 to 21·6), and 90·3% of endoscopies could be avoided. Further validation in community-based screening showed that the AUROC of the model was 0·964 (95% CI 0·920 to 0·990), and 92·8% of endoscopies could be avoided after risk stratification. INTERPRETATION: We developed a prediction tool with favourable performance for screening of oesophageal squamous cell carcinoma and adenocarcinoma of the oesophagogastric junction. This approach could prevent the need for endoscopy screening in many low-risk individuals and ensure resource optimisation by prioritising high-risk individuals. FUNDING: Science and Technology Commission of Shanghai Municipality.

LAMC1 is related to the poor prognosis of patients with gastric cancer and facilitates cancer cell malignancies.

Gastric cancer is a common malignancy in the alimentary system. The laminin subunit gamma 1 (LAMC1) is an important oncogene in human cancers. However, how and whether LAMC1 takes part in gastric cancer progression is largely uncertain. This study analyzed the association between clinical factors of patients and LAMC1 expression and explored the influence of LAMC1 silencing on cell proliferation, migration, invasion, the Warburg effect, protein kinase B (AKT) pathway, and mitogen-activated protein kinase (MEK)/extracellular regulated protein kinase (ERK) pathway in gastric cancer cells. Our results showed LAMC1 abundance was enhanced in gastric cancer samples and cells. LAMC1 was related to the clinical stage, tumor depth, lymph node metastasis, and distant metastasis of patients. LAMC1 silencing inhibited cell proliferation, migration, and invasion. Moreover, LAMC1 knockdown suppressed the Warburg effect via decreasing lactate production, lactate dehydrogenase (LDH) activity, and glucose uptake. LAMC1 interference blocked the activation of the AKT and MEK/ERK signaling. Collectively, LAMC1 knockdown constrained cell proliferation, migration, invasion, and the Warburg effect in gastric cancer cells via inactivating the AKT and MEK/ERK pathway.