A5034997659- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
- Electric Motor Design and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Magnetic Bearings and Levitation Dynamics
- Lung Cancer Research Studies
- Magnetic Properties and Applications
- Sarcoma Diagnosis and Treatment
- Bone Tumor Diagnosis and Treatments
- Cancer-related molecular mechanisms research
- Gastric Cancer Management and Outcomes
- Cancer Immunotherapy and Biomarkers
- Pleural and Pulmonary Diseases
- Cancer Genomics and Diagnostics
- Ferroptosis and cancer prognosis
- RNA modifications and cancer
- Management of metastatic bone disease
- Tracheal and airway disorders
- Medical Imaging and Pathology Studies
- Medical Imaging Techniques and Applications
- Colorectal Cancer Treatments and Studies
- Neurofibromatosis and Schwannoma Cases
- Cancer-related gene regulation
- MicroRNA in disease regulation
- PI3K/AKT/mTOR signaling in cancer
Chinese Academy of Sciences
2019-2025
Ningbo No. 2 Hospital
2014-2025
Second Military Medical University
2018-2024
Tongji University
2019-2024
Xidian University
2024
Shanghai Changzheng Hospital
2021-2023
University of Chinese Academy of Sciences
2019-2022
Shanghai Pulmonary Hospital
2019-2022
Ningbo University
2022
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...
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....
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...
Lung cancer has been the focus of attention for many researchers in recent years leading contribution to cancer-related death worldwide, which lung adenocarcinoma (LUAD) is most common histological type. However, potential mechanism behind LUAD initiation and progression remains unclear. Aiming dissect tumor microenvironment discover more informative prognosis signatures, we investigated immune-related differences three types genetic or epigenetic characteristics (expression status, somatic...
Aims: Intact intestinal epithelium is essential to maintain normal physiological function. Irradiation-induced gastrointestinal syndrome or inflammatory bowel disease occurred when epithelial integrity was impaired. This study aims at exploring the mechanism of procyanidin B2 (PB2) administration promote injury repair in mice. Results: PB2 treatment reduces reactive oxygen species (ROS) accumulation and protects intestine damage from irradiation. Mechanistic studies reveal that could...
Background: Micropapillary/solid (MP/S) growth patterns of lung adenocarcinoma are vital for making clinical decisions regarding surgical intervention. This study aimed to predict the presence a MP/S component in using radiomics analysis. Methods: Between January 2011 and December 2013, patients undergoing curative invasive resection were included. Using "PyRadiomics" package, we extracted 90 features from preoperative computed tomography (CT) images. Subsequently, four prediction models...
Non-small cell lung cancer (NSCLC) is the main type of malignancy. Early diagnosis and treatments for NSCLC are far from satisfactory due to limited knowledge molecular mechanisms regarding progression. Long noncoding RNA (lncRNA) ZNFX1 antisense RNA1 (ZFAS1) has been implicated its functional role in progression malignant tumors. This study aimed determine ZFAS1 expression clinical samples explore underlying ZFAS1-modulated Experimental assays revealed that lines tumors showed an...
The most significant assumption of conventional analytical methods (e.g., the subdomain technique) is that stator and rotor iron cores are infinitely permeable. magnetic saturation ignored, resulting in an overestimation flux density. This article presents model permanent magnet (PM) machines with segmented Halbach arrays (PMMSHA). It considers finite permeabilities teeth tooth tips (STTT) can study effect. permeability variation slots solved via Cauchy's product theorem. Based on vector...
Lung cancer has the highest mortality rate amongst all malignancies worldwide, and is second-highest incidence of in women. Non-small cell lung (NSCLC) responsible for approximately 80% cases. Recent studies indicate that cellular senescence may be a promising biomarker. However, regulation its underlying mechanisms NSCLC are not yet fully understood. Here, we present comprehensive analysis genes linked to NSCLC. We also describe secretory phenotype associated with examine immune profile...
Diagnosing lung cancer at a curable stage offers the opportunity for favorable prognosis. The emerging epigenomics analysis on plasma cell-free DNA (cfDNA), including 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) modifications, has acted as promising approach facilitating identification of cancer. And, integrating 5mC biomarker with chest computed tomography (CT) image features could optimize diagnosis cancer, exceeding performance models built single feature. However, clinical...
Our study aimed to evaluate the prognostic significance and adjuvant chemotherapy (ACT) benefits of a micropapillary/solid (MS) pattern in patients with stage IB lung adenocarcinoma.Patients pathologically-confirmed adenocarcinoma who underwent surgical resection between January 2009 December 2011 were included. The tumors reclassified into three categories: MS patterns absent (MS-); non-predominant (MS+); predominant (MS++). correlations prognosis ACT recurrence-free survival (RFS)...
Providing higher precision Direction of Arrival (DOA) estimation has become a hot topic in the field array signal processing for parameter recent years. However, when physical aperture actual is small, its limitation means that even with super-resolution algorithms, achievable limited. This paper takes novel approach by constructing an optimization algorithm using covariance fitting criterion based on output’s matrix to fit and obtain large virtual array, thereby providing high-precision...
Cisplatin (DDP) resistance is a major obstacle in the treatment of non-small cell lung cancer (NSCLC). MicroRNA-219a-5p (miR-219a-5p) has been reported to be tumor suppressor several cancers, but whether it regulates chemosensitivity NSCLC remains unclear. Here, using quantitative real time PCR analysis, we observed that miR-219a-5p was down-regulated responding tissues compared with non-responding from patients received DDP-based chemotherapy. Consistently, expression lower cisplatin...
Accurate calculation of magnetic field distribution is a prerequisite for motor design and optimization. This article develops an analytical subdomain model external rotor in-wheel with surface-inset magnets (ERIWMSIMs). Besides, to weaken its torque ripple, improved topology by integrating flux modulation slots (MFMSs) into tooth tips proposed. First, the entire problem divided five subdomains, viz., magnet slots, air gap, stator slot openings, MFMSs. Then, this study solves Laplace's or...
Risk stratification of N2 disease is vital for selecting candidates to receive invasive mediastinal staging modalities. In this study, we aimed stratify the risk metastasis in clinical stage I lung adenocarcinoma using radiomics analysis.Two datasets patients with who underwent resection were included (training dataset, 880; validation 322). Using PyRadiomics, 1,078 computed tomography (CT)-based features extracted after semi-automated nodule segmentation. order predict status, a signature...
The prognosis of patients with stage I non-small cell lung cancer (NSCLC) is often uncertain. This study aims to investigate a new prognostic tool classify NSCLC more accurately.CD68 and CD163 macrophages were quantified by immunohistochemical analyses the center tumor invasive margin 339 tumors, which used construct macrophage immunoscore (MI). Cox proportional hazards models determined effects multiple factors on disease-free survival (DFS) overall (OS). One nomogram was developed predict...