Publications by authors named "Xiangpan Li"

Although genome-wide association studies (GWASs) have identified dozens of loci associated with colorectal cancer (CRC) susceptibility, the causal genes or risk variants within these loci and their biological functions often remain elusive. Recently, the genomic locus 12p13.32, with the tag SNP rs10774214, was identified as a crucial CRC risk locus in Asian populations.

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A series of novel β-carbolines with a flexible amino side chain at positions 1 and 3, respectively, were designed, synthesized and evaluated as potential antitumor agents. The results revealed that most of the compounds exhibited a broad spectrum of antiproliferative activity with IC value lower than 20 μM against human tumor cell lines. Among them, compound 2f was the most potent antiproliferative agent with IC value below 5.

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Background: The novel nanomaterials PNA-TN (PN) and PNA-TN-Dox (PND) have been shown to have strong inhibitory effects on breast cancer; however, it is unclear whether PN and PND have anti-head and neck squamous cell carcinoma (HNSCC) activity, and their potential mechanisms of activity are unknown. So, our study aims to explore the therapeutic effects of PN and PND on HNSCC and their possible mechanisms.

Methods: We used a series of phenotypic research to evaluate the effects of PN + Laser (L) and PND + L on the biological function of HNSCC cells in vitro and in vivo.

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  • The hippocampus is important for various neuropsychiatric traits, and understanding its subfields' genetic relationships is vital as it has high heritability and could serve as biomarkers for these conditions.
  • Researchers examined MRI data from over 41,000 UK participants to conduct genome-wide association studies on 24 hippocampal and subfield volume traits and assessed their genetic correlations with 10 neuropsychiatric traits.
  • They identified 352 genetic variants related to these traits and found specific genes associated with various conditions, concluding that changes in hippocampal structures are linked to an increased risk of Parkinson's disease.
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  • Gliomas are aggressive brain tumors, and the study investigated the role of latent TGF binding proteins (LTBP), specifically LTBP2, as potential biomarkers and their impact on glioma progression and immune response.
  • The analysis included 2407 glioma samples to evaluate LTBP2 expression with results showing higher levels of LTBP2 correlate with worse survival outcomes and increased immune infiltration in glioma tissues.
  • Experimental results indicated that reducing LTBP2 expression slowed tumor growth and increased tumor sensitivity to treatment, suggesting that LTBP2 could be a valuable target for glioma therapies.
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  • This review focuses on the advancements in deep learning techniques used for multimodal fusion image segmentation specifically related to liver cancer treatment and monitoring.
  • It highlights the importance of accurate image segmentation for hepatocellular carcinoma and discusses various deep learning architectures like CNN and U-Net, which improve the precision of segmentation processes.
  • The paper also addresses challenges in current research, such as data imbalance and model interpretability, while suggesting future directions for enhancing medical imaging accuracy and clinical decision-making.
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Homologous recombination (HR) is essential for the maintenance of genome stability. During HR, Replication Protein A (RPA) rapidly coats the 3'-tailed single-strand DNA (ssDNA) generated by end resection. Then, the ssDNA-bound RPA must be timely replaced by Rad51 recombinase to form Rad51 nucleoprotein filaments that drive homology search and HR repair.

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Normal tissue complication probability (NTCP) models for radiation pneumonitis (RP) in lung cancer patients with stereotactic body radiation therapy (SBRT), which based on dosimetric data from treatment planning, are limited to patients who have already received radiation therapy (RT). This study aims to identify a novel predictive factor for lung dose distribution and RP probability before devising actionable SBRT plans for lung cancer patients. A comprehensive correlation analysis was performed on the clinical and dose parameters of lung cancer patients who underwent SBRT.

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Background: Many cancer patients have not received timely treatment or even had treatment interruptions due to the COVID-19 pandemic. The objective of this investigation was to evaluate whether the prognosis of patients with breast cancer after surgery was affected by any interruptions in radiotherapy.

Methods: The healthcare documents for breast cancer patients experiencing radiotherapy interruption after surgery, including treatment-related characteristics, and time of interruption, type of disease progression, and survival status, were collected between January and April 2020 during the Wuhan blockade.

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The morphology size of laser cladding is a crucial parameter that significantly impacts the quality and performance of the cladding layer. This study proposes a predictive model for the cladding morphology size based on the Least Squares Support Vector Regression (LSSVR) and the Crowned Porcupine Optimization (CPO) algorithm. Specifically, the proposed model takes three key parameters as inputs: laser power, scanning speed, and powder feeding rate, with the width and height of the cladding layer as outputs.

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Article Synopsis
  • - Breast cancer, particularly the HER2-positive type, is a major global health issue, requiring innovative treatments like HER2-targeting monoclonal antibodies and antibody-drug conjugates (ADCs) for management of advanced stages.
  • - A case study details the extensive treatment of a 42-year-old woman with HER2-positive metastatic breast cancer, involving chemotherapy, radiation, and multiple anti-HER2 therapies over 8 years, including a transition to new treatments after disease progression.
  • - The patient showed significant improvement with a new therapy combining trastuzumab deruxtecan (DS8201) and tislelizumab, highlighting DS8201's potential in treating advanced HER2-positive breast cancer and its ability to enhance
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Gastric cancer exerts a significant healthcare burden worldwide and is highly geographically heterogeneous. This study investigates the burden of gastric cancer in China from 1990 to 2019 and compares it with Japan, South Korea, and the United States. The results indicated a declining trend in ASIR and ASDR in four countries.

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  • The study focuses on creating a risk prediction model for early detection of colorectal neoplasms, specifically targeting high-risk individuals in the East Asian population to reduce cancer burden through timely interventions.
  • Researchers developed three polygenic risk scores (PRS) using previous CRC risk loci, SNP selection from large data, and a Bayesian prediction approach, validating their effectiveness in large sets of patients and normal individuals from different studies.
  • The optimized PRS showed improved risk assessment across various stages of neoplasm development and confirmed a significant dose-response effect in both East Asian and European cohorts, indicating its potential for personalized screening.
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Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory results. Considering the strong nonlinear generalization ability of neural networks, this paper proposes a two-stream residual network model with an attention mechanism for gesture recognition.

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The implementation of a progressive rehabilitation training model to promote patients' motivation efforts can greatly restore damaged central nervous system function in patients. Patients' active engagement can be effectively stimulated by assist-as-needed (AAN) robot rehabilitation training. However, its application in robotic therapy has been hindered by a simple determination method of robot-assisted torque which focuses on the evaluation of only the affected limb's movement ability.

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O-linked-N-acetylglucosaminylation (O-GlcNAcylation), a dynamic post-translational modification (PTM), holds profound implications in controlling various cellular processes such as cell signaling, metabolism, and epigenetic regulation that influence cancer progression and therapeutic resistance. From the therapeutic perspective, O-GlcNAc modulates drug efflux, targeting and metabolism. By integrating signals from glucose, lipid, amino acid, and nucleotide metabolic pathways, O-GlcNAc acts as a nutrient sensor and transmits signals to exerts its function on genome stability, epithelial-mesenchymal transition (EMT), cell stemness, cell apoptosis, autophagy, cell cycle.

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Objective: This study amied to investigate the prognostic characteristics of triple negative breast cancer (TNBC) patients by analyzing B cell marker genes based on single-cell and bulk RNA sequencing.

Methods: Utilizing single-cell sequencing data from TNBC patients, we examined tumor-associated B cell marker genes. Transcriptomic data from The Cancer Genome Atlas (TCGA) database were used as the foundation for predictive modeling.

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Purpose: While deep learning has shown promise for automated radiotherapy planning, its application to the specific scenario of stereotactic radiosurgery (SRS) for brain metastases using fixed-field intensity modulated radiation therapy (IMRT) on a linear accelerator remains limited. This work aimed to develop and verify a deep learning-guided automated planning protocol tailored for this scenario.

Methods: We collected 70 SRS plans for solitary brain metastases, of which 36 cases were for training and 34 for testing.

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Article Synopsis
  • Left ventricular regional wall thickness (LVRWT) is a key factor influencing health outcomes in cardiovascular diseases (CVDs), and researchers developed a deep learning method to measure it in over 42,000 individuals using cardiac imaging.
  • Genome-wide studies found 72 genetic loci related to various LVRWT measurements, suggesting their involvement in heart development and function.
  • The study also linked certain LVRWT traits to hypertrophic cardiomyopathy (HCM), indicating that genetic factors can help identify individuals at higher risk for this condition.
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Genome-wide association studies (GWASs) have identified over 140 colorectal cancer (CRC)-associated loci; however, target genes at the majority of loci and underlying molecular mechanisms are poorly understood. Here, we utilized a Bayesian approach, integrative risk gene selector (iRIGS), to prioritize risk genes at CRC GWAS loci by integrating multi-omics data. As a result, a total of 105 high-confidence risk genes (HRGs) were identified, which exhibited strong gene dependencies for CRC and enrichment in the biological processes implicated in CRC.

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Passive rehabilitation training in the early poststroke period can promote the reshaping of the nervous system. The trajectory should integrate the physicians' experience and the patient's characteristics. And the training should have high accuracy on the premise of safety.

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Purpose: To investigate the dosimetric impact of the calculation boundaries and dose calculation algorithms of radiotherapy in head and neck cancer patients with an opened oral cavity connected to the exterior by a hollow intraoral positioning stent.

Methods And Materials: A homemade silicone phantom with an opened oral cavity was placed in a CIRS head phantom to model head and neck cancer patients with a hollow intraoral positioning stent. 3D-CRT plans were designed on CT images of the phantom in Monaco and Pinnacle treatment planning systems (TPSs) with the same beam parameters.

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Pancreatic acinar cell carcinoma (PACC) is a rare pancreatic malignancy with unique clinical, molecular, and morphologic features. The long-term survival of patients with PACC is substantially better than that of patients with ductal adenocarcinoma of the pancreas. Surgical resection is considered the first choice for treatment; however, there is no standard treatment option for patients with inoperable disease.

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Central to homologous recombination (HR) is the assembly of Rad51 recombinase on single-strand DNA (ssDNA), forming the Rad51-ssDNA filament. How the Rad51 filament is efficiently established and sustained remains partially understood. Here, we find that the yeast ubiquitin ligase Bre1 and its human homolog RNF20, a tumor suppressor, function as recombination mediators, promoting Rad51 filament formation and subsequent reactions via multiple mechanisms independent of their ligase activities.

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Nasopharyngeal carcinoma (NPC) is a malignant tumor originating from the epithelial cells of the nasopharynx with a unique geographic distribution, and is particularly prevalent in East and Southeast Asia. Due to its anatomical location, the surgery is difficult to access and the high sensitivity of nasopharyngeal cancer to radiotherapy (RT) makes it the main treatment modality. Radical radiotherapy is the first-line treatment for early-stage nasopharyngeal carcinoma and the cornerstone of multidisciplinary treatment for patients with locally advanced nasopharyngeal carcinoma.

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