Caichen Li

DNA methylation features and diagnostic model establishment of MET amplification in lung adenocarcinoma

Shuting Zhan, Jianfu Li, Jinsheng Tao, Hao Yang et autres

Background: Accurate detection of MET amplification is essential for guiding targeted therapy in lung adenocarcinoma (LUAD). Conventional methods such as FISH are limited by tissue availability, and ctDNA-based liquid biopsy shows limited sensitivity for amplification detection. DNA methylation profiling offers a promising …

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Combined association of genetic predisposition and healthy lifestyle with lung cancer risk: a population-based cohort study

Zheng Li, Wenhai Fu, Yu Jiang, Yi Feng et autres

Background: Polygenic susceptibility and modifiable lifestyle behaviors contribute to lung cancer, but their interaction and combined impact on lung cancer hazard and potential biological correlations remain incompletely characterised. This study aimed to evaluate the independent and combined associations of polygenic risk and …

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Beyond a Binary Signal: Temporal and Sampling Determinants of ctDNA MRD Interpretation After NSCLC Resection

Ran Zhong, Boao Jiang, Yaming Xiong, Yang Chen et autres

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Prevalence and Trends of Pulmonary Nodules at Routine Health-Checkup Chest CT in China, 2018–2025

Wenjun Ye, Bo Cheng, Caichen Li, Xiwen Liu et autres

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Clinical application and potential benefits of En-bloc biopsy based on minimally invasive surgery in advanced lung cancer

Chunyan Li, Jianfu Li, Peiling Chen, Yihai Wei et autres

Background and objective Traditional biopsy methods often limit diagnostic accuracy and treatment options due to inadequate tissue samples. En-bloc biopsy (EB), a minimally invasive technique, offers adequate tissue for both pathological and genetic analysis while reducing tumor burden. This study evaluates the …

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study (DECIPHER-NODL)

Huiting Wang, Hairong Huang, Feng Li, Ying Deng et autres

Background: Accurate risk stratification of pulmonary nodules is critical for early lung cancer detection. This study aimed to improve malignancy classification and invasiveness prediction using machine learning models integrating low-dose computed tomography (LDCT) radiomics and plasma cell-free DNA (cfDNA) fragmentomics. Methods: This …

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Treatments of depressive symptoms in cancer patients: A systematic review and network meta-analysis

Wenhai Fu, Yuexin Liu, Yu Jiang, Robin Shao et autres

BACKGROUND: Depression is are often insufficiently managed in cancer patients globally. To address this, we conducted a comprehensive systematic review and network meta-analysis to evaluate and compare the effectiveness of pharmacological and non-pharmacological interventions in alleviating depressive symptoms in adult cancer patients. …

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Clinicopathological factors vs. molecular model for predicting adjuvant EGFR-TKI benefit in stage I EGFR-mutant non-small cell lung cancer

Yu Jiang, Yuechun Lin, Wenhai Fu, Si Jiang et autres

Background: Adjuvant epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) show promising outcomes in early-stage non-small cell lung cancer (NSCLC) with EGFR mutations, but accurately identifying patients who would derive the greatest benefit remains a clinical challenge. We compared the predictive performance of …

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Non–Risk-Based Lung Cancer Screening With Low-Dose Computed Tomography

Caichen Li, Bo Cheng, Jianfu Li, Shan Xiong et autres

This study assesses non–risk-based low-dose computed tomographic screening to assess lung cancer detection in the general population and evaluate outcomes by risk stratification.

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Longitudinal Routine-Lab Trajectories Predict Lung Cancer Risk: A Temporal Machine Learning Study

Wenjun Ye, Wenhai Fu, Weizheng Zhang, Deliang Xiong et autres

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Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC

Peiling Chen, Xin Zheng, Caichen Li, Jianfu Li et autres

OBJECTIVES: This study aims to explore how pre-existing conditions such as blood types, family history of cancer and comorbid diseases correlate with the genetic and programmed death-ligand 1 (PD-L1) expression that contributes to the heterogeneous biological behaviours of non-small cell lung cancer …

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Aspirin vs Placebo as Adjuvant Therapy for Breast Cancer

Caichen Li, Jianxing He, Wenhua Liang

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