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Background and Objective: The rapid development of computer technology has led to a revolutionary transformation in artificial intelligence (AI)-assisted healthcare. The integration of whole-slide imaging technology with AI algorithms has facilitated the development of digital pathology for lung cancer (LC). However, there is a lack of comprehensive scientometric analysis in this field. Methods: A bibliometric analysis was conducted on 197 publications related to digital pathology in LC from 502 institutions across 39 countries, published in 97 academic journals in the Web of Science Core Collection between 2004 and 2023. Results: Our analysis has identified the United States and China as the primary research nations in the field of digital pathology in LC. However, it is important to note that the current research primarily consists of independent studies among countries, emphasizing the necessity of strengthening academic collaboration and data sharing between nations. The current focus and challenge of research related to digital pathology in LC lie in enhancing the accuracy of classification and prediction through improved deep learning algorithms. The integration of multi-omics studies presents a promising future research direction. Additionally, researchers are increasingly exploring the application of digital pathology in immunotherapy for LC patients. Conclusions: In conclusion, this study provides a comprehensive knowledge framework for digital pathology in LC, highlighting research trends, hotspots, and gaps in this field. It also provides a theoretical basis for the application of AI in clinical decision-making for LC patients.
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BACKGROUND: Bladder cancer (BC) is the most common urological tumor. It has a high recurrence rate, displays tutor heterogeneity, and resists chemotherapy. Furthermore, the long-term survival rate of BC patients has remained unchanged for decades, which seriously affects the quality of patient survival. To improve the survival rate and prognosis of BC patients, it is necessary to explore the molecular mechanisms of BC development and progression and identify targets for treatment and intervention. Transmembrane 9 superfamily member 1 (TM9SF1), also known as MP70 and HMP70, is a member of a family of nine transmembrane superfamily proteins, which was first identified in 1997. TM9SF1 can be expressed in BC, but its biological function and mechanism in BC are not clear. AIM: To investigate the biological function and mechanism of TM9SF1 in BC. METHODS: Cells at 60%-80% confluence were transfected with lentiviral vectors for 48-72 h to achieve stable TM9SF1 overexpression or silencing in three BC cell lines (5637, T24, and UM-UC-3). The effect of TM9SF1 on the biological behavior of BC cells was then investigated through CCK8, wound-healing assay, transwell assay, and flow cytometry. RESULTS: Overexpression of TM9SF1 increased the in vitro proliferation, migration, and invasion of BC cells by promoting the entry of BC cells into the G2/M phase. Silencing of TM9SF1 inhibited in vitro proliferation, migration, and invasion of BC cells and blocked BC cells in the G1 phase. CONCLUSION: TM9SF1 may be an oncogene in BC.
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BACKGROUND: Entecavir and tenofovir disoproxil fumarate (TDF) are standard first-line treatments to prevent viral reactivation and hepatocellular carcinoma (HCC) in individuals chronically infected with the hepatitis B virus (HBV), but the long-term efficacy of the two drugs remains controversial. Also unclear is whether the drugs are effective at preventing viral reactivation or HCC recurrence after hepatectomy to treat HBV-associated HCC. This trial will compare recurrence-free survival, overall survival, viral indicators and adverse events in the long term between patients with HBV-associated HCC who receive entecavir or TDF after curative resection. METHODS: This study is a randomized, open-label trial. A total of 240 participants will be randomized 1:1 into groups receiving TDF or entecavir monotherapy. The two groups will be compared in terms of recurrence-free and overall survival at 1, 3, and 5 years after surgery; adverse events; virological response; rate of alanine transaminase normalization; and seroreactivity at 24 and 48 weeks after surgery. DISCUSSION: This study will compare long-term survival between patients with HBV-associated HCC who receive TDF or entecavir monotherapy. Numerous outcomes related to prognosis will be analyzed and compared in this study. TRIAL REGISTRATION: ClinicalTrials.gov NCT02650271. Registered on January 7, 2016.
