Chang Chen

ORCID: 0000-0003-2841-1250
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About
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Research Areas
  • Lung Cancer Diagnosis and Treatment
  • Lung Cancer Treatments and Mutations
  • Radiomics and Machine Learning in Medical Imaging
  • Tracheal and airway disorders
  • Pleural and Pulmonary Diseases
  • Medical Imaging and Pathology Studies
  • Lung Cancer Research Studies
  • Cancer Immunotherapy and Biomarkers
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Transplantation: Methods and Outcomes
  • RNA modifications and cancer
  • Gastric Cancer Management and Outcomes
  • Esophageal Cancer Research and Treatment
  • Cancer Genomics and Diagnostics
  • Congenital Diaphragmatic Hernia Studies
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Inflammatory Biomarkers in Disease Prognosis
  • Metastasis and carcinoma case studies
  • AI in cancer detection
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Salivary Gland Tumors Diagnosis and Treatment
  • Myasthenia Gravis and Thymoma
  • Head and Neck Cancer Studies
  • Cancer Diagnosis and Treatment

Shanghai Pulmonary Hospital
2016-2025

Tongji University
2016-2025

Shanghai Jiao Tong University
2013-2025

Peking Union Medical College Hospital
2023-2025

Chinese Academy of Medical Sciences & Peking Union Medical College
2019-2025

Southern Medical University
2024-2025

Ruijin Hospital
2025

Sichuan University
2021-2024

West China Hospital of Sichuan University
2021-2024

First Hospital of Lanzhou University
2020-2024

According to the lung cancer staging project, T1a (≤ 2 cm) non-small-cell (NSCLC) should be additionally classified into ≤ 1 cm and > groups. This study aimed investigate surgical procedure for NSCLC cm.We identified 15,760 patients with T1aN0M0 after surgery from Surveillance, Epidemiology, End Results database. Overall survival (OS) cancer-specific (LCSS) were compared among lobectomy, segmentectomy, or wedge resection. The proportional hazards model was applied evaluate multiple...

10.1200/jco.2015.64.6729 article EN Journal of Clinical Oncology 2016-07-06

<h3>Importance</h3> There is a lack of studies exploring the performance deep learning survival neural network in non–small cell lung cancer (NSCLC). <h3>Objectives</h3> To compare performances DeepSurv, with tumor, node, and metastasis staging system prediction test reliability individual treatment recommendations provided by network. <h3>Design, Setting, Participants</h3> In this population-based cohort study, learning–based algorithm was developed validated using consecutive cases newly...

10.1001/jamanetworkopen.2020.5842 article EN cc-by-nc-nd JAMA Network Open 2020-06-03

Abstract Background Microplastic pollution has become a serious global environmental threat. The abundance of microplastics in the air is an order magnitude higher than that other media, which means all living animals breathing with lungs (including humans) cannot escape fate inhaling microplastics. However, there no direct evidence to demonstrate what type and exist lung tissue. In addition, whether retention long-term friction between tissue are related some respiratory diseases largely...

10.1186/s12302-022-00605-3 article EN cc-by Environmental Sciences Europe 2022-03-17

The immune responses during the initiation and invasion stages of human lung adenocarcinoma (LUAD) development are largely unknown. Here, we generated a single-cell RNA sequencing map to decipher dynamics LUAD development. We found that T follicular helper (Tfh)-like cells, germinal center B dysfunctional CD8+ cells increase tumor initiation/invasion form tertiary lymphoid structure (TLS) inside tumor. This TLS starts with an aggregation CD4+ generation CXCL13-expressing Tfh-like followed by...

10.1016/j.xcrm.2024.101448 article EN cc-by-nc-nd Cell Reports Medicine 2024-03-01

Diagnosing lung cancer from indeterminate pulmonary nodules (IPLs) remains challenging. In this multi-institutional study involving 2032 participants with IPLs, we integrate the clinical, radiomic circulating cell-free DNA fragmentomic features in 5-methylcytosine (5mC)-enriched regions to establish a multiomics model (clinic-RadmC) for predicting malignancy risk of IPLs. The clinic-RadmC yields an area-under-the-curve (AUC) 0.923 on external test set, outperforming single-omics models, and...

10.1038/s41467-024-55594-z article EN cc-by-nc-nd Nature Communications 2025-01-02

// Yijiu Ren 1, * , Chenyang Dai Hui Zheng 1 Fangyu Zhou Yunlang She Gening Jiang Ke Fei Ping Yang 2 Dong Xie Chang Chen Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School Medicine, Shanghai, People&rsquo;s Republic China Division Epidemiology, Health Sciences Research, Mayo Clinic, Rochester, MN, USA These authors contributed equally to this work Correspondence to: Chen, email: changchenc@hotmail.com Xie, kongduxd@163.com Keywords: lung cancer, distant...

10.18632/oncotarget.10644 article EN Oncotarget 2016-07-18

Highlights•Notch signaling is activated in type II cells after Pseudomonas aeruginosa injury•After peak Notch activation, Dlk1 inhibits signaling•Dlk1 disruption impairs II-to-type I cell transition•Dlk1 inhibition of necessary for the repair alveolar injurySummaryLung (AT1) and (AT2) regulate structural integrity function alveoli. AT1, covering ∼95% surface area, are responsible gas exchange, whereas AT2 serve multiple functions, including through proliferation differentiation into AT1....

10.1016/j.celrep.2019.02.046 article EN cc-by-nc-nd Cell Reports 2019-03-01

Background Radiomics-based biomarkers enable the prognostication of resected non–small cell lung cancer (NSCLC), but their effectiveness in clinical stage and pathologic IA pure-solid tumors requires further determination. Purpose To construct an efficient radiomics signature for survival risk stratification personalized patients with NSCLC. Materials Methods In this retrospective study, six signatures were constructed NSCLC who underwent resection between January 2011 December 2013 at...

10.1148/radiol.2021210109 article EN Radiology 2021-11-02

Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non–small cell lung cancer (NSCLC). Purpose To develop a deep learning signature N2 metastasis prediction and prognosis stratification in NSCLC. Materials Methods In this retrospective study conducted from May 2020 to October population with NSCLC, an internal cohort was adopted establish signature. Subsequently, predictive efficacy biologic basis proposed were investigated external cohort....

10.1148/radiol.2021210902 article EN Radiology 2021-10-26

In December 2019, the outbreak of a new coronavirus-caused pneumonia (COVID-19) in Wuhan attracted close attention China and world. The Chinese government took strong national intervention measures on January 23 to control spread epidemic. We are trying show impact these controls proposed an SEIR(Susceptible-Exposed-Infectious-Removed) model analyze epidemic trend use AI non-Wuhan areas. found that if closure was lifted, areas mainland would double size. Our SEIR effective predicting...

10.1371/journal.pone.0245101 article EN cc-by PLoS ONE 2021-01-08

BackgroundThis study, based on multicentre cohorts, aims to utilize computed tomography (CT) images construct a deep learning model for predicting major pathological response (MPR) neoadjuvant chemoimmunotherapy in non-small cell lung cancer (NSCLC) and further explore the biological basis under its prediction.Methods274 patients undergoing curative surgery after NSCLC at 4 centres from January 2019 December 2021 were included divided into training cohort, an internal validation external...

10.1016/j.ebiom.2022.104364 article EN cc-by EBioMedicine 2022-11-14

Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell lung cancer (NSCLC). This study aims to develop deep learning signature based on positron emission tomography/computed tomography predict ONM clinical stage N0 NSCLC. An internal cohort (n = 1911) is included construct the (DLNMS). Subsequently, an external 355) and prospective 999) are utilized fully validate predictive performances DLNMS. Here, we show areas under receiver operating...

10.1038/s41467-023-42811-4 article EN cc-by Nature Communications 2023-11-18

Abstract OBJECTIVES As evidence has proven that sublobar resection is oncologically contraindicated by tumour spread through air spaces (STAS), its preoperative recognition vital in customizing surgical strategies. We aimed to assess the value of radiomics predicting STAS stage I lung adenocarcinoma. METHODS retrospectively reviewed patients with adenocarcinoma, who accepted curative our institution between January 2011 and December 2013. Using ‘PyRadiomics’ package, 88 features were...

10.1093/ejcts/ezaa011 article EN European Journal of Cardio-Thoracic Surgery 2020-01-03

Abstract The loss of normal alveolar capillary and deregulated angiogenesis occurs simultaneously in idiopathic pulmonary fibrosis (IPF); however the contributions specific endothelial subpopulations development are poorly understood. Herein, we perform single-cell RNA sequencing to characterize heterogeneity cells (ECs) bleomycin (BLM)-induced lung rats. One subpopulation, characterized by expression Nos3 Cav1, is mostly distributed non-fibrotic lungs also highly expresses genes related...

10.1007/s10456-021-09795-5 article EN cc-by Angiogenesis 2021-05-24
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