A5080513614- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Treatments and Mutations
- Gastric Cancer Management and Outcomes
- Cancer Immunotherapy and Biomarkers
- Advanced biosensing and bioanalysis techniques
- Telomeres, Telomerase, and Senescence
- Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
- Inflammatory Biomarkers in Disease Prognosis
- Caveolin-1 and cellular processes
- Venous Thromboembolism Diagnosis and Management
- RNA Interference and Gene Delivery
- Metastasis and carcinoma case studies
- Lung Cancer Research Studies
- Cancer-related molecular mechanisms research
- Medical Imaging and Pathology Studies
- Cancer, Lipids, and Metabolism
Xingtai People's Hospital
2018-2023
Hebei Medical University
2018-2023
The Christie NHS Foundation Trust
2021
University of Manchester
2021
Tianjin Medical University Cancer Institute and Hospital
2014-2016
Tianjin Medical University
2014
Background Non-small-cell lung cancer (NSCLC) and its surgery significantly increase the venous thromboembolism (VTE) risk. This study explored VTE risk factors established a machine-learning model to predict failure of postoperative thromboprophylaxis. Methods retrospective included patients with NSCLC who underwent between January 2018 November 2022. The were randomized 7:3 training test sets. Nine machine learning models constructed. three most predictive classifiers chosen as first layer...
Abstract Objective To develop and validate predictive models using clinical parameters, radiomic features a combination of both for preoperative differentiation pulmonary nodular mucinous adenocarcinoma (PNMA) from tuberculoma (PTB). Method A total 124 53 patients with PNMA PTB, respectively, were retrospectively analyzed January 2017 to November 2022 in The Fourth Affiliated Hospital Hebei Medical University (Ligang et al., machine learning model based on CT distinguish tuberculoma, 2023)....
As shortened telomeres inhibit tumor formation and prolong life span in a KrasG12D mouse lung cancer model, we investigated the implications of telomerase Kras-mutant NSCLC. We found that Kras mutations increased TERT (telomerase reverse transcriptase) mRNA expression activity telomere length both immortalized bronchial epithelial cells (BEAS-2B) adenocarcinoma (Calu-3). MEK inhibition led to reduced activity. Furthermore, inhibitor BIBR1532 inhibited mutant Kras-induced long-term...
Introduction Targeting activating oncogenic driver mutations in lung adenocarcinoma has led to prolonged survival patients harboring these specific genetic alterations. The prognostic value of not yet been elucidated. prevalence recently uncovered non-coding somatic mutation promoter region TERT gene is also be validated cancer. purpose this study show the prevalence, association with clinicalpathological features and factors. Methods In a cohort non-small cell cancer (NSCLC) (n = 174,...
This study aims to investigate the expression level of pro-opiomelanocortin (POMC) and its prognostic value in non-small cell lung cancer (NSCLC). Immunohistochemical staining was used detect POMC. Correlations between POMC clinical pathological characteristics were evaluated with chi-square test, determined Kaplan–Meier method COX proportional hazards model, α < 0.05. Of samples, 48.0 % had positive expression. significantly related poorly differentiated tumors, N-stage, p-stage,...
To develop and validate predictive models based on clinical parameters, radiomic features to distinguish pulmonary pure invasive mucinous adenocarcinoma (pIMA) from mixed (mIMA) before surgery.
Objective: To investigate the prognostic value of white blood cells detected for first time after adjuvant chemotherapy in primary operable non-small cell lung cancer. Methods: From January 2010 to May 2016, data from 208 patients who underwent surgery cancer were retrospectively analyzed. Results: A count greater than 7.00 was an independent predictor poor disease-free survival (Hazard ratio: 1.736, 95% confidence interval: 1.267-2.378; P = .001) and overall 1.802, 1.305-2.471; .000). In a...
Objective: This study aimed to develop and validate predictive models using clinical parameters, radiomic features, a combination of both for invasive mucinous adenocarcinoma (IMA) the lung in patients with adenocarcinoma. Method: A total 173 391 IMA non-IMA, respectively, were retrospectively analyzed from January 2017 September 2022 our hospital. Propensity Score Matching was used match 2 groups patients. 1037 features extracted contrast-enhanced computed tomography (CT). The randomly...
Abstract Objective: To develop and validate predictive models using clinical parameters, radiomic features a combination of both for preoperative differentiation pulmonary nodular mucinous adenocarcinoma (PNMA) from tuberculoma (PTB). Method： A total 124 53 patients with PNMA PTB, respectively，were retrospectively analyzed January 2017 to November 2022 in The Forth Affiliated Hospital Hebei Medical University. 1037 were extracted the contrast enhanced computed tomography (CT). Patients...
Objective: lung cancer significantly increases VTE. And VTE increased the risk of perioperative death cancer. This study aimed to explore new factors for and establish a staking machine learning model predict much more precisely. Nine models were developed.Methods: We retrospectively analyzed patients received surgery with non-small cell between January 2018 November 2022 in our hospital. Patients complete clinical pathological data, which can provide analyzable data epidermal growth factor...
Abstract Objective In an effort to explore the prognostic role of surgery in patients with metastatic pulmonary sarcomatoid carcinoma, we performed a population-based study using SEER data. Methods Patients PSC were identified from Surveillance, Epidemiology, and End Results (SEER) database 2000 2019. Hazard ratios (HR) 95% confidence intervals (95% CI) calculated by univariate multivariate analysis Cox regression analysis, α = 0.05. Survival curves plotted Kaplan-Meier method survival...