- Ferroptosis and cancer prognosis
- Radiomics and Machine Learning in Medical Imaging
- RNA modifications and cancer
- AI in cancer detection
- Lung Cancer Treatments and Mutations
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
- Genomics and Chromatin Dynamics
- Vascular Tumors and Angiosarcomas
- Hedgehog Signaling Pathway Studies
- Cancer, Stress, Anesthesia, and Immune Response
- Bioinformatics and Genomic Networks
- PI3K/AKT/mTOR signaling in cancer
- Cholesterol and Lipid Metabolism
- Pharmacological Effects and Toxicity Studies
- Coenzyme Q10 studies and effects
- Cancer-related gene regulation
- Cancer Immunotherapy and Biomarkers
- Mental Health via Writing
- Wnt/β-catenin signaling in development and cancer
- Peptidase Inhibition and Analysis
- Lung Cancer Research Studies
- MicroRNA in disease regulation
Xiangya Hospital Central South University
2019-2025
Central South University
2019-2025
Heidelberg University
2021-2025
Hunan Normal University
2021
Guangzhou Medical University
2021
Abstract Background Colorectal cancer (CRC) has high incidence and mortality rates, with severe prognoses during invasion metastasis stages. Despite advancements in diagnostic therapeutic technologies, the impact of tumour microenvironment, particularly extracellular matrix (ECM) stiffness, on CRC progression is not fully understood. Methods This study included 107 patients. Tumour stiffness was assessed using magnetic resonance elastography (MRE), collagen ratio analysed Masson staining....
The aim of this study was to analyse the landscape publications on rectal cancer (RC) over past 25 years by machine learning and semantic analysis.Publications indexed in PubMed under Medical Subject Headings (MeSH) term 'Rectal Neoplasms' from 1994 2018 were downloaded September 2019. R Python used extract publication date, MeSH terms abstract metadata each for bibliometric assessment. Latent Dirichlet allocation applied text articles' abstracts identify more specific research topics....
Abstract Background Reprogramming lipid metabolism for tumor metastasis is essential in breast cancer, and NUCB2/Nesfatin-1 plays a crucial role regulating energy metabolism. Its high expression associated with poor prognosis cancer. Here, we studied whether promotes cancer through reprogramming cholesterol Methods ELISA was employed to measure the concentration of Nesfatin-1 serum patients control group. Database analysis suggested that might be acetylated which confirmed by treating cells...
Background: 60–70% of patients who die from breast cancer have lung metastases. However, there is a lack readily available tools for accurate risk stratification in with metastases (BCLM). Therefore, web-based dynamic nomogram was developed BCLM to quickly, accurately, and intuitively assess overall cancer-specific survival rates. Methods: Patients diagnosed between 2004 2016 were extracted the Surveillance, Epidemiology, Final Results (SEER) database. After excluding incomplete data, all...
Triple-negative breast cancer (TNBC) is proposed at the beginning of this century, which still most challenging subtype due to its aggressive behavior, including early relapse, metastatic spread, and poor survival. This study uses machine learning methods explore current research status deficiencies from a macro perspective on TNBC publications. PubMed publications under "triple-negative cancer" were searched downloaded between January 2005 2022. R Python extracted MeSH terms, geographic...
Slingshot 1 protein (SSH1) plays a critical role in cytoskeleton dynamic regulation. Increasing evidence suggest that SSH1 expression is upregulated several cancers and relates to tumor progression drug resistance. Here, we evaluated the of colorectal cancer (CRC) development its prognostic value patients with CRC.SSH1 was examined by quantitative real-time polymerase chain reaction, western blot analysis, or immunohistochemistry. The association between clinical characteristics prognosis...
Silver nanoparticles (AgNPs) have attracted attention in cancer therapy and might support the treatment of pancreatic ductal adenocarcinoma (PDAC). is clinical use wound dressings, catheters, stents implants. However, side effects systemic AgNP due to silver accumulation limit its therapeutic application. We evaluated whether antioxidant natural agent α-lipoic acid prevent these effects. synthesized AgNPs using an Ionic-Pulser® Pro generator determined concentration by inductively coupled...
Objective This study aims to construct and use natural language processing other methods analyze major depressive disorder (MDD) radiology studies’ publications in the PubMed database understand historical growth, current state, potential expansion trend. Methods All MDD studies from January 2002 2022 were downloaded using R, a statistical computing language. R interpretive general-purpose programming Python used extract publication dates, geographic information, abstracts each publication’s...
Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed at late stages, limiting treatment options and survival rates. Pyroptosis-related gene signatures hold promise as PDAC prognostic markers, but limited pools small sample sizes hinder their utility. We aimed to enhance prognosis with a comprehensive multi-algorithm analysis. Using R, we employed natural language processing latent Dirichlet allocation on PubMed publications identify pyroptosis-related genes. collected transcriptome...
The liver stands out as one of the most frequent sites for distant metastasis in breast cancer cases. However, effective risk stratification tools patients with metastases (BCLM) are still lacking. We identified BCLM from SEER database spanning 2010 to 2016. After meticulously filtering cases incomplete data, a total 3179 were enrolled and randomly divided into training validation cohorts at ratio 2:1. Leveraging comprehensive patient we constructed nomogram through rigorous evaluation Cox...
To explore the association of nucleotide binding oligomerization domain-like receptor family caspase recruitment domain containing 3 (NLRC3) with prognosis and tumor immunity in patients stage III colorectal cancer. Methods: Data 122 cancer, who underwent radical resection from 2012 to 2013 Xiangya Hospital Central South University, were retrospectively collected. The expressions NLRC3 CD8+ examined by immumohistochemical (IHC) staining. preoperative clinical data used obtain neutrophil...
Peptidyl-prolyl cis/trans isomerase NIMA-interacting 1 (PIN1) involves alteration of the structure, function, intracellular localization and/or stability phosphorylated protein on serine or threonine residues which relates to inflammation and tumorigenesis. Association between PIN1 promoter polymorphisms cancer risk were reported in several cancers. We intend study relationship polymorphism cervical initiation development. genotyped two common single nucleotide (SNPs) (rs2233678 rs2233679)...
Abstract Background: Triple-negative breast cancer (TNBC) is a subtype of proposed at the beginning this century, which still most challenging due to its aggressive behavior, including early relapse, metastatic spread, and poor survival. This study explores current research status deficiencies from macro perspective on TNBC publications by using machine learning methods. Methods: All under MeSH term "Triple Negative Breast Neoplasms" in PubMed were searched downloaded as December 2020. R...