Publications by authors named "D X Tan"

Background: Recurrent gynecological clear cell carcinoma (rGCCC) has a low objective response rate (ORR) to chemotherapy. Previous preclinical and clinical data suggest a potential synergy between immune checkpoint inhibitors and bevacizumab in rGCCC. Dostarlimab, a humanized monoclonal antibody targeting programmed cell death protein 1 (PD-1), combined with the anti-angiogenic bevacizumab, presents a novel therapeutic approach.

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Background: Liver involvement is a common complication of coronavirus disease 2019 (COVID-19), especially in hospitalized patients. However, the underlying mechanisms involved are not fully understood.

Methods: Immunohistochemistry (IHC) staining of SARS-CoV-2 spike (S) and nucleocapsid (N) proteins was conducted on liver tissues from six patients with COVID-19.

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Background: Major society guidelines recommend transarterial chemoembolization (TACE) as the standard of care for intermediate-stage hepatocellular carcinoma (HCC) patients. However, predicting treatment response remains challenging.

Aims: As artificial intelligence (AI) may predict therapeutic responses, this systematic review aims to assess the performance and effectiveness of radiomics and AI-based models in predicting TACE outcomes in patients with HCC.

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Objective: This study aimed to investigate the causal relationship between diet compositions and lung cancer (LC) risk.

Methods: A two-sample Mendelian randomization (MR) analysis was performed to assess the causal relationship between diet and LC risk, including three LC subtypes. Instrumental variables (IVs) for three diet compositions were selected from genome-wide association studies (GWAS).

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For adolescents infected with the Human Immunodeficiency Virus (HIV), transitioning from pediatric to adult healthcare requires thorough preparation to maintain care continuity and optimal health outcomes. In China, a dedicated scale for assessing their transition readiness is lacking. The HIV Adolescent Readiness for Transition Scale (HARTS) addresses this by evaluating transition readiness across vital domains, with its 15-item design predicting post-transition viral suppression-a key indicator of a successful transition.

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