Publications by authors named "Dongning Chen"
Objective: We aimed to develop and validate a nomogram based on MRI radiomics to predict overall survival (OS) for patients with de novo oligometastatic prostate cancer (PCa).
Methods: A total of 165 patients with de novo oligometastatic PCa were included in the study (training cohort, n = 115; validating cohort, n = 50). Among them, MRI scans were conducted and T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) sequences were collected for radiomics features along with their clinicopathological features.
Background & Aims: Biliary atresia is a fibrosing cholangiopathy affecting neonates that is thought to result from a prenatal environmental insult to the bile duct. Biliatresone, a plant toxin with an α-methylene ketone group, was previously implicated in biliary atresia in Australian livestock, but is found in a limited location and is unlikely to be a significant human toxin. We hypothesized that other unsaturated carbonyl compounds, some with the potential for significant human exposure, might also be biliary toxins.
View Article and Find Full Text PDFObjective: To build and validate a periprostatic fat magnetic resonance imaging (MRI) based radiomics nomogram for prediction of biochemical recurrence-free survival (bRFS) of patients with non-metastatic prostate cancer (PCa) receiving radical prostatectomy (RP).
Methods: A retrospective study was conducted on 356 patients with non-metastatic PCa who underwent preoperative mpMRI followed by RP treatment at our institution. Radiomic features were extracted from both intratumoral region and the periprostatic fat region, which were segmented on images obtained through T2-weighted imaging (T2WI) and apparent-diffusion coefficient (ADC) imaging.
Type I collagen is the most abundant structural protein in the body and, with other fibrillar collagens, forms the fibrous network of the extracellular matrix. Another group of extracellular matrix polymers, the glycosaminoglycans, and glycosaminoglycan-modified proteoglycans, play important roles in regulating collagen behaviors and contribute to the compositional, structural, and mechanical complexity of the extracellular matrix. While the binding between collagen and small leucine-rich proteoglycans has been studied in detail, the interactions between collagen and the large bottlebrush proteoglycan versican are not well understood.
View Article and Find Full Text PDFArticle Synopsis
- A new algorithm called Q-learning Improved Gold Jackal Optimization (QIGJO) is developed to enhance the performance of the existing Golden Jackal Optimization (GJO) by incorporating intelligent movement behavior in prey.
- The paper introduces five update mechanisms and a double-population Q-learning collaborative mechanism to optimize the GJO's performance further, along with a new convergence factor that increases the algorithm’s ability to find solutions effectively.
- QIGJO has shown strong results in various benchmarks and engineering design problems, particularly in optimizing the reliability model of hydraulic systems in concrete pump trucks, proving its effectiveness in both performance and accuracy.
Purpose: The aim of this study was to assess the potential application of a radiomics features-based nomogram for predicting therapeutic responses to neoadjuvant chemohormonal therapy (NCHT) in patients with high-risk non-metastatic prostate cancer (PCa).
Methods: Clinicopathologic information was retrospectively collected from 162 patients with high-risk non-metastatic PCa receiving NCHT and radical prostatectomy at our center. The postoperative pathological findings were used as the gold standard for evaluating the efficacy of NCHT.
Objective: Polychlorinated biphenyls (PCBs) have caused great environmental concerns. The study aims to investigate underlying molecular mechanisms between PCBs exposure and prostate cancer (PCa).
Methods: To investigate the association between PCBs exposure and prostate cancer by using CTD, TCGA, and GEO datasets.
Article Synopsis
- Bladder cancer (BCa) is a severe and diverse type of cancer, with autophagy emerging as a critical biomarker for diagnosing and predicting outcomes in various cancers, but specific tools for BCa are limited.
- A new autophagy-related prognostic signature (ARPS) was created using advanced machine learning techniques, showing it can better predict BCa prognosis and treatment responses than existing clinical markers.
- The research identified four new drug targets and confirmed that the gene FKBP9 contributes to BCa cell growth and spread, providing new insights for patient management and therapy decisions.
Purpose: In the era of concurrent combination therapy in metastatic hormone sensitive prostate cancer, the impact of the testosterone level before initiating androgen deprivation therapy on treatment outcome is still uncertain. We aimed to investigate its effect on time-to-castration-resistance in a metastatic hormone sensitive prostate cancer cohort.
Methods: This is a multi-center retrospective study of 5 databases from China, Japan, Austria and Spain including 258 metastatic hormone sensitive prostate cancer patients with androgen deprivation therapy initiated between 2002 and 2021.
Identification macrophage signatures in prostate cancer by single-cell sequencing and machine learning.
Cancer Immunol Immunother
February 2024
Article Synopsis
- The study investigates the role of tumor-associated macrophages (TAM) in the tumor microenvironment of prostate cancer, highlighting their influence on immune responses and cancer progression.
- Researchers used advanced machine learning techniques to identify nine characteristic genes linked to TAM, which can predict how prostate cancer will progress and provide insights into clinical outcomes.
- A nomogram was developed as a quantitative tool for doctors to assess prostate cancer prognosis based on TAM-related data, potentially improving treatment management for patients.
Article Synopsis
- Type 2 diabetes is linked to an increased risk of hepatocellular carcinoma (HCC), with advanced glycation end-products (AGEs) playing a critical role in this connection.
- The study shows that AGEs change collagen structure and increase the viscoelasticity of the extracellular matrix (ECM) without affecting its stiffness, promoting HCC growth in both patients and animal models.
- High levels of viscoelasticity, driven by AGEs, facilitate HCC cell proliferation and invasion through a specific mechanotransductive pathway, suggesting a new target for therapeutic intervention.
Background: Many imaging scoring models have been developed for tumor surgery to provide critical guidance for the selection of surgical methods. However, little research has been aimed at developing scoring models for adrenal tumors and retroperitoneal laparoscopic adrenal surgery (RLAS), which has become the primary technique for treating adrenal tumors. The study set out to establish a computed tomography (CT)-based adrenal tumor scoring model for predicting perioperative outcomes in patients with adrenal tumors who have undergone RLAS.
View Article and Find Full Text PDFExploring Novel Genome Instability-associated lncRNAs and their Potential Function in Pan-Renal Cell Carcinoma.
Comb Chem High Throughput Screen
July 2024
Objective: Genomic instability can drive clonal evolution, continuous modification of tumor genomes, and tumor genomic heterogeneity. The molecular mechanism of genomic instability still needs further investigation. This study aims to identify novel genome instabilityassociated lncRNAs (GI-lncRNAs) and investigate the role of genome instability in pan-Renal cell carcinoma (RCC).
View Article and Find Full Text PDFArticle Synopsis
- Biliary atresia (BA) is a serious liver problem in babies that affects the bile ducts. Scientists think it might start before birth.
- In their study, researchers looked at the bile ducts from different animals and humans to see how they react to injury, especially focusing on a substance called hyaluronic acid (HA) which helps with healing.
- They found that injured bile ducts had a lot of HA, which could cause swelling and high levels of bilirubin, leading to blockages and more health issues for the baby.
Background And Aims: Biliary atresia is a fibrosing cholangiopathy affecting neonates that is thought to be caused by a prenatal environmental insult to the bile duct. Biliatresone, a plant toxin with an α-methylene ketone group, was previously implicated in toxin-induced biliary atresia in Australian livestock, but is found in a limited location and is highly unlikely to be a significant human toxin. We hypothesized that other molecules with α-methylene ketone groups, some with the potential for significant human exposure, might also be biliary toxins.
View Article and Find Full Text PDFObjective: To identify tumor-associated macrophages (TAMs) related molecular subtypes and develop a TAMs related prognostic model for prostate cancer (PCa).
Methods: Consensus clustering analysis was used to identify TAMs related molecular clusters. A TAMs related prognostic model was developed using univariate and multivariate Cox analysis.
Background: Immunogenic cell death (ICD) plays a vital role in tumor progression and immune response. However, the integrative role of ICD-related genes and subtypes in the tumor microenvironment (TME) in prostate cancer (PCa) remains unknown.
Materials And Methods: The sample data were obtained from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Memorial Sloan Kettering Cancer Center (MSKCC) prostate cancer-related databases.
To identify liquid-liquid phase separation (LLPS)-related molecular clusters, and to develop and validate a novel index based on LLPS for predicting the prognosis of prostate cancer (PCa) patients. We download the clinical and transcriptome data of PCa from TCGA and GEO database. The LLPS-related genes (LRGs) were extracted from PhaSepDB.
View Article and Find Full Text PDFBackground: Androgen deprivation therapy (ADT) use in prostate cancer (PCa) has seen a rising trend. We investigated the relationship between ADT and adverse changes in metabolic parameters in an Asian population.
Methods: This is an international prospective multicenter single-arm cohort yielded from the real-life experience of ADT in Asia (READT) registry.
Objective: To explore whether Ga-PSMA-11 PET/CT-derived parameters could predict biochemical response to abiraterone acetate (AA) treatment and prognosis in metastatic prostate cancer patients developing castration resistance after chemohormonal therapy at hormone-sensitive stage.
Methods: The clinicopathologic data of 106 mCRPC cases receiving AA treatment were retrospectively analyzed. Logistic regression analysis was used to determine the independent predictors of biochemical response to AA treatment.
Article Synopsis
- Hepatocellular carcinoma (HCC) is a major cause of cancer deaths, primarily occurring in patients with chronic liver disease and advanced fibrosis, with hepatic stellate cells (HSCs) playing a significant role.
- Research on mouse models showed that HSCs have a tumor-promoting function, interacting with liver cells to influence both liver cell (hepatocyte) growth and death during HCC development.
- A shift in HSC types during liver disease progression leads to increased HCC risk, where protective mediators become less active while tumor-promoting factors gain dominance.
Shc Is Implicated in Calreticulin-Mediated Sterile Inflammation in Alcoholic Hepatitis.
Cell Mol Gastroenterol Hepatol
December 2022
Background & Aims: Src homology and collagen (Shc) proteins are major adapters to extracellular signals, however, the regulatory role of Shc isoforms in sterile inflammatory responses in alcoholic hepatitis (AH) has not been fully investigated. We hypothesized that in an isoform-specific manner Shc modulates pre-apoptotic signals, calreticulin (CRT) membrane exposure, and recruitment of inflammatory cells.
Methods: Liver biopsy samples from patients with AH vs healthy subjects were studied for Shc expression using DNA microarray data and immunohistochemistry.
Background: The systemic immune-inflammation index (SII), system inflammation response index (SIRI), neutrophil/high-density lipoprotein (HDL) ratio (NHR), lymphocyte/HDL ratio (LHR), monocyte/HDL ratio (MHR), and platelet/HDL ratio (PHR) have been recently investigated as new markers for inflammation. The purpose of this research is to use large-scale clinical data to discuss and compare the predictive ability of the SII, SIRI, NHR, LHR, MHR, and PHR in patients with schizophrenia (SCZ) and bipolar disorder (BD), to investigate potential biomarkers.
Materials And Methods: In this retrospective, naturalistic, cross-sectional study, we collected the hematological parameter data of 13,329 patients with SCZ, 4,061 patients with BD manic episodes (BD-M), and 1,944 patients with BD depressive episodes (BD-D), and 5,810 healthy subjects served as the healthy control (HC) group.