Publications by authors named "Shuqun Zhang"

Background: Triple-negative breast cancer (TNBC) represents a subtype of breast cancer with poorest prognosis due to limited effective targeted therapies. Chimeric antigen receptor T cell (CAR-T) therapy has shown remarkable efficacy in treating hematological cancers, but its application in TNBC requires further development. One major obstacle is the lack of suitable tumor-specific target in TNBC.

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While gibberellin (GA) homeostasis is critical for male fertility, the molecular mechanisms governing GA metabolic balance during pollen development remain poorly characterized. This study uncovers a regulatory network maintaining GA equilibrium to ensure male fertility in Arabidopsis thaliana. Through integrated multiomics approaches (DAP-Seq and RNA-Seq) combined with genetic analysis, we identified ANAC106 (AT3G12910), a previously unrecognized NAC (NAM; ATAF1, 2; and CUC2) transcription factor, as a key regulator to maintain GA biosynthesis and signaling homeostasis.

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A Gram-stain-negative, rod-shaped, strictly aerobic bacterium strain SG148, within the family Rhizobiaceae, was isolated from rice leaves collected in Fujian Province, China. Phylogenetic analysis utilizing 16S rRNA gene sequences revealed that strain SG148 displayed a high sequence similarity of 95.2-95.

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Background: The biological role of polyamine metabolism-related genes (PMRGs) in breast cancer (BRCA) through immune mediation is not well understood. Consequently, this study aimed to explore the prognostic features connected to PMRGs and immune-related genes (IRGs) in BRCA via bioinformatics analysis.

Methods: We analyzed The Cancer Genome Atlas (TCGA)-BRCA and GSE20685 datasets.

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Objective: To evaluate the efficacy and safety of QL1206 (a denosumab biosimilar to Xgeva®) in breast cancer patients with bone metastasis (BM) through subgroup analysis of a randomized, double-blind phase III trial (No. NCT04550949).

Methods: This subgroup analysis included patients with BM from breast cancer enrolled in a phase III trial.

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Killer-cell immunoglobulin-like receptor 2DL4 (KIR2DL4), a member of the killer cell immunoglobulin-like receptors (KIRs) family, plays an important role in the regulation of the immune system, which is expressed primarily on natural killer (NK) cells. Human leucocyte antigen-G (HLA-G), a non-classical major histocompatibility complex (MHC) class I molecule, is the only known ligand of KIR2DL4. Accumulating evidence has shown that KIR2DL4 has emerged as a potential target for enhancing the antitumor immune response.

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Repairing large craniofacial bone defects presents a significant clinical challenge, primarily due to the elevated risk of bacterial infection and impaired osteogenic activity at the defect site. Herein, PLA-Ag@Sr composite nanofiber membranes with dual osteogenic and antibacterial properties for treating infected skull defects are reported, achieved by integrating dual-function core-shell Ag@Sr mesoporous silica nanoparticles (Ag@MSN@Sr) into PLA nanofibers via one-pot electrospinning method, effectively addressing the limitations of single functionality, structural complexity, and poor stability inherent in conventional multi-component GBR membranes. PLA-Ag@Sr exhibits favorable mechanical properties, moderate hydrophilicity, and sustained release of Ag and Sr ions.

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Background: Emerging evidence suggests that metabolic syndrome (MetS) contributes to cancer development, but the causal relationship remains unclear. This study aimed to explore the potential causal associations between MetS and 50 types of cancer (including the main cancer subtypes) using bidirectional Mendelian randomization (MR) analysis.

Methods: Genome-wide association study (GWAS) data were downloaded from the IEU-GWAS database and CNCR-CTGLAB.

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The expression of TIMM8A, a molecular chaperone involved in mitochondrial protein translocation, was observed to be significantly elevated in various tumor types. However, the specific role of TIMM8A in cancer development and its underlying molecular mechanism remains inadequately understood. In this study, our primary objective was to investigate the functional implications of TIMM8A in breast cancer development, while also assessing its expression levels and prognostic relevance in pan-cancer.

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Individual characteristics, topic characteristics, and network structure factors are crucial for topic dissemination in social networks. However, existing models lack well integrated modelling of higher-order network structures with individual and topic characteristics. A new topic dissemination model based on hypernetwork (HSIRS for short) is proposed in this paper.

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Aerobic composting is an effective method for the resourceful disposal of organic solid waste. The primary factors that limit the effectiveness of conventional aerobic composting are low oxygen utilization and insufficient pile temperature. To address these challenges, a novel electric field-assisted aerobic composting (EAC) process has been developed, which applies a low-voltage electric field to traditional aerobic compost piles to enhance oxygen utilization and increase pile temperature.

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Paclitaxel (PTX) is widely used in the clinical treatment of cancer, and peripheral neuropathy is a common adverse side effect of PTX. Diverse mechanisms contribute to the development and maintenance of PTX-induced peripheral neuropathy. However, the role of the spinal Notch pathway in PTX-induced peripheral neuropathy is not completely understood.

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Background: Although meta-analyses have demonstrated survival benefits associated with primary tumor resection in MBC, guidelines lack consensus on the survival benefit of postoperative radiation therapy (RT).

Methods: In this study, we included 1392 patients with de novo metastatic breast cancer (dnMBC) by integrating data from the SEER database (2010-2019) to systematically assess the efficacy of postoperative RT and develop a machine learning-driven prognostic tool. The primary endpoint was overall survival (OS).

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Background: Programmed cell death (PCD) dynamically influences breast cancer (BC) prognosis through interactions with the tumor microenvironment (TME). We investigated 13 PCD patterns to decipher their prognostic impact and mechanistic links to TME-driven outcomes. Our study aimed to explore the complex mechanisms underlying these interactions and establish a prognostic prediction model for breast cancer.

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Background: Ovarian cancer (OV) is one of the deadliest gynecologic cancers, and approximately 75% of serous ovarian cancer [SOC] patients are diagnosed at advanced stages due to the lack of effective biomarkers.

Objective: Immunogenic cell death (ICD) has been investigated in many comprehensive studies, and the role of ICD in ovarian cancer and its impact on immunotherapy is not yet known.

Method: The NMF clustering analysis was employed to categorize OV samples into different subgroups.

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A novel electric field-assisted aerobic composting (EAC) method effectively facilitates compost disposal by applying a low electric field to conventional aerobic composting (CAC). The humification effect of inoculation with Bacillus clausii in the EAC system was better than that in the CAC system, so this study focused on the enhancement effect of microbial inoculation in the EAC system. Compared with EAC, EAC with microbial inoculation (AMI-EAC) increased the degradation of cellulose, hemicellulose, and lignin.

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Two facultatively aerobic, Gram-stain-positive, rod-shaped, endospore-forming, endophytic bacteria, designated SGZ-1009 and SGZ-1014, were isolated from the plant sp. Strain SGZ-1009 grew at 5-50 °C, pH 4.5-11.

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Background: We aimed to assess the efficacy and feasibility of applying patient-reported outcome (PRO) based symptom management in the early postoperative period after breast cancer surgery.

Materials And Methods: Before surgery, patients diagnosed with breast cancer who met the inclusion criteria were randomly assigned in a 1:1 ratio to receive either postoperative PRO-based symptom management or usual care. All patients completed the MD Anderson Symptom Inventory-Chinese version (MDASI-C) via the electronic PRO system preoperatively, on a daily basis postoperatively, and twice weekly after discharge, for a duration up to 2 weeks.

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G protein-coupled estrogen receptor 1 (GPER1) plays a crucial role in the progression of breast cancer and has emerged as a promising therapeutic target. However, while missense mutations in GPER1 have been detected in breast invasive carcinoma (BIC) samples, the resulting molecular, cellular and pharmacological changes remain unclear. The present study categorized BIC samples from The Cancer Genome Atlas database based on mutation information available in the cBioPortal database.

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Article Synopsis
  • Inflammatory breast cancer (IBC) is a rare and aggressive type of breast cancer with a poor prognosis, necessitating the development of an accurate predictive model for patient outcomes.
  • Clinical data from 1,230 IBC patients were analyzed using Cox analysis and the random survival forest (RSF) algorithm to identify key factors influencing overall survival (OS) and create a predictive model.
  • The RSF model demonstrated strong predictive accuracy, allowing for the classification of patients into high-risk and low-risk groups, with the low-risk group showing significantly longer survival times.
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It has long been controversial whether surgery should be performed for metastatic breast cancer (dnMBC). The choice and timing of the primary tumor resection for dnMBC patients need to be individualized, but there was no tool to assist clinicians in decision-making. A 1:1:2 propensity score matching (PSM) was applied to examine the prognosis of dnMBC patients who underwent neoadjuvant systemic therapy followed by surgery (NS), surgery followed by chemotherapy (SC), and chemotherapy without surgery (CW).

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Article Synopsis
  • Brain metastasis in lung cancer has a very poor prognosis, and accurate prognostic models were previously lacking for patients with lung cancer brain metastases (LCBM).
  • We implemented 7 machine learning algorithms, particularly focusing on the XGBoost model, to predict overall survival (OS) for LCBM using data from the Surveillance Epidemiology and End Results, which was validated through various methods.
  • Our findings indicate that surgery on the primary lesion significantly improves prognosis for LCBM, while factors like age over 70, certain cancer types, and other metastases negatively affect outcomes.
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Article Synopsis
  • Hyperthermophilic composting (HTC) is a new technology that uses added heat-loving microorganisms to improve composting efficiency, yet the exact role of these microorganisms is still being discussed.
  • A study focused on the effects of the microorganism Parageobacillus toebii in composting chicken and pig manure, showing it significantly raised the temperature and improved compost quality more in chicken manure than in pig manure.
  • The research indicates that P. toebii can enhance microbial activity and organic matter breakdown in composting, but its effectiveness is influenced by the nutrient availability in the compost feedstock.
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Electric field-assisted aerobic composting (EAC) is a novel strategy for effectively mitigating nitrous oxide (NO) emissions, but its deeper effects require further exploration. In this study, the differences in NO emissions between the anode regions (AR) and cathode regions (CR) during EAC were evaluated. The cumulative NO emission from the compost in CR was 32.

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