Publications by authors named "Wuxing Gong"

We aimed to develop and validate a pyradiomics model for preoperative prediction of initial treatment response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC). To this end, computed tomography (CT) images were acquired from multi-centers. Numerous pyradiomics features were extracted and machine learning approach was used to build a model for predicting initial response of TACE treatment.

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Although several biomarkers have been proposed to predict the response of patients with lung adenocarcinoma (LUAD) to immune checkpoint blockade (ICB) therapy, existing challenges such as test platform uniformity, cutoff value definition, and low frequencies restrict their effective clinical application. Here, we attempted to use deep neural networks (DNNs) based on somatic mutations to predict the clinical benefit of ICB to LUAD patients undergoing immunotherapy. We used DNNs to train and validate the predictive model in three cohorts.

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Background: Biomarkers based on quantitative genomics features are related to clinical prognosis in various cancer types. However, the association between proteomics and prognosis in non-small cell lung cancer (NSCLC) is unclear. Here, we developed a proteomics score for the prediction of prognosis in patients with NSCLC undergoing partial pneumonectomy.

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Background: We attempted to train and validate a model of deep learning for the preoperative prediction of the response of patients with intermediate-stage hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE).

Method: All computed tomography (CT) images were acquired for 562 patients from the Nan Fang Hospital (NFH), 89 patients from Zhu Hai Hospital Affiliated with Jinan University (ZHHAJU), and 138 patients from the Sun Yat-sen University Cancer Center (SYUCC). We built a predictive model from the outputs using the transfer learning techniques of a residual convolutional neural network (ResNet50).

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Objective: To explore the intrinsic connection between activation of classical nuclear factor-κB (NF-κB) pathway and gefitinib resistance in human lung adenocarcinoma H1650 cells.

Methods: Human lung adenocarcinoma H1650 cells were exposed to gefitinib continuously for 60 days to obtain resistant H1650 cells. The expressions of P-IκBα, P-p50 and P-p65 in the cytoplasm or nuclei were detected using Western blotting in human lung adenocarcinoma HCC827 cells, parental H1650 cells and gefitinib-resistant H1650 cells.

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Article Synopsis
  • The study examines the distribution and linkage disequilibrium of specific SNPs (-148C/T, -455G/A, -854G/A) in the fibrinogen B beta gene promoter among 377 individuals from the Chinese southern Han population.
  • The genotype frequencies found follow Hardy-Weinberg equilibrium, with 9 different genotypes identified; no significant differences in frequencies were observed between males and females.
  • Results indicated complete linkage disequilibrium between -148C/T and -455G/A SNPs, while showing negative linkage disequilibrium between -854G/A and both of the other SNPs.
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Objective: To study the association between early-onset coronary heart disease (CHD) and angiotensin II type 1 receptor (ATIR) gene A1166/C polymorphism and the effect of ATIR gene A1166/C on the plasma lipid level.

Methods: The ATIR A1166/C genotype of 71 early-onset CHD patients, 76 late-onset CHD patients, and 119 controls was examined by PCR-RFLP. Their plasma lipid levels were detected.

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