A5023104288- Radiomics and Machine Learning in Medical Imaging
- Cancer Immunotherapy and Biomarkers
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Medical Imaging Techniques and Applications
- Breast Lesions and Carcinomas
- Ferroptosis and cancer prognosis
- MicroRNA in disease regulation
- Stochastic processes and financial applications
- Cancer Research and Treatments
- Credit Risk and Financial Regulations
- HER2/EGFR in Cancer Research
- Smart Grid Energy Management
- Circular RNAs in diseases
- Lung Cancer Treatments and Mutations
- RNA modifications and cancer
- Inflammatory Biomarkers in Disease Prognosis
- Power System Optimization and Stability
- Immunotherapy and Immune Responses
- Advanced Radiotherapy Techniques
- Gastric Cancer Management and Outcomes
- Carbohydrate Chemistry and Synthesis
- Glycosylation and Glycoproteins Research
- PARP inhibition in cancer therapy
- Data-Driven Disease Surveillance
Affiliated Hospital of Qingdao University
2018-2025
Qingdao University
2018-2025
Xi'an Jiaotong University
2023-2025
Duke University
2014
Zhejiang University
2011
Fudan University Shanghai Cancer Center
2008
Abstract Background Quercetin, a widely distributed bioflavonoid, plays role in combating diverse human cancers including non‐small cell lung cancer (NSCLC). However, the of quercetin reversing radioresistance NSCLC cells and its underlying mechanism are far from being elucidated. Method Radiation‐resistant lines were established. Quantitative real‐time PCR (qRT‐PCR) was used to detect expression miR‐16‐5p WEE1 G2 checkpoint kinase (WEE1) mRNA radiation‐resistant cells. After treated with...
Agencies seeking to disseminate public use microdata, i.e., data on individual records, can replace confidential values with multiple draws from statistical models estimated the collected data. We present a famework for evaluating disclosure risks inherent in releasing multiply-imputed, synthetic The basic idea is mimic an intruder who computes posterior distributions of given released and prior knowledge. illustrate methodology artificial fully partial synthesis Survey Youth Custody.
Previous studies have revealed that HURP (also known as DLGAP5 or KIAA0008) is overexpressed in many types of human cancers, such hepatocellular carcinoma, squamous cell bladder cancer, and transitional indicating a putative oncoprotein promotes carcinogenesis through various molecular mechanisms. However, the role pathogenesis non‑small lung cancer (NSCLC) has not been reported. In present study, we investigated prognostic value among NSCLC patients GEO database. The online tool KM‑plotter...
ABSTRACT Evaluating power flow fluctuations under uncertainties is an important problem in systems with a high proportion of renewable energy. However, the computational efficiency existing interval algorithms for nonlinear equations challenging. This paper proposes analysis method based on AC‐LPF model and affine arithmetic. The proposed can guarantee accuracy reduce time complexity without iterations. By Linearising AC introducing intervals injected power, this Linearised model....
Several studies have shown secreted clusterin (sCLU) silencing directed against sCLU mRNA in sCLU-rich lung cancer cell lines sensitized cells to chemotherapy. However, the molecular mechanisms underlying effect of on chemosensitivity is not known. In present study, we aimed determine that vector expressing short hairpin RNA (sCLU-shRNA) enhances human small A549 vitro by inhibition phosphorylated ERK1/2 (p-ERK1/2) and Akt (p-Akt).The pCDNA3.1-sCLU control scrambled pCDNA3.1 plasmid was...
To establish a model combining radiomic and clinicopathological factors based on magnetic resonance imaging to predict pathological complete response (pCR) after neoadjuvant chemotherapy in breast cancer patients.
Recent studies suggest many long non-coding RNAs (lncRNAs) are crucial oncogenes or tumor suppressors. This study intended to investigate the biological function and mechanism of lncRNA TTN antisense RNA 1 (TTN-AS1) in progression breast cancer (BC). BC tissue samples were collected. The expression TTN-AS1 tissues adjacent was detected by qRT-PCR, relationship between pathological indicators analyzed chi-square test. cell lines T47D BT549 utilized as models. CCK-8 assay BrdU used detect...
Lung squamous cell carcinoma (LUSC) represents 30% of all non-small lung carcinoma. Targeted therapy is not sufficient for LUSC patients because the low frequency targeted-effective mutation in whereas immunotherapy offers more options with LUSC. We explored a ferroptosis-related prognostic signature that can potentially assess prognosis and efficacy patients. A total 502 were downloaded from The Cancer Genome Atlas (TCGA). external validation data obtained Gene Expression Omnibus (GEO):...
article: Long non-coding RNA TTN-AS1 aggravates carcinogenesis through Wnt/β-catenin signaling pathway by sponging miR-1271 in hepatocellular carcinoma - Minerva Medica 2020 December;111(6):617-9 Journals
To assess the overall survival (OS) of early human epidermal growth factor receptor 2 (HER2)-enriched breast cancer patients after receiving neoadjuvant trastuzumab (NAT) compared to adjuvant (AT) treatment and difference in local-regional relapse (LRR) rate with this tumor between women mastectomy breast-conserving therapy (BCT).Articles were retrieved from PubMed, Embase, Web Science, Cochrane Library. A pooled odds ratio (OR) a 95% confidential interval (CI) was calculated. The StataSE...
This paper introduces a method of Collateralized Debt Obligation pricing by using the α-stable Copula with stochastic recovery. As an extension to Gaussian copula, stable distribution has heavy-tailed and more parameters, so it will fit actual market better than copula.
Copula method is widely used for modeling the portfolio credit risk. In this paper, we introduce a dynamic copula CDO pricing. Because most important parameter in pricing model value of loss dependent on time, so give estimation with random recovery. But cannot tell us how much error distribution is, and then utilize saddle-point approximation approach to estimate distribution.