Publications by authors named "RongRong Wu"

Background: Peritumoral lidocaine infiltration prior to excision is associated with better survival in breast cancer (BC), which led us to hypothesize that innervation to the tumor affects its biology and patient survival. Activity-regulated cytoskeleton-associated protein (ARC) gene expression is known to be regulated by neuronal activity. Therefore, we studied the clinical relevance of ARC gene expression as a surrogate of neuronal activity in BC.

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Background: Vascular endothelial growth factor-A (VEGFA) is a key inducer of angiogenesis, responsible for generating new blood vessels in the tumor microenvironment (TME) and facilitating metastasis. Notably, Avastin, which targets VEGFA, failed to demonstrate any significant benefit in clinical trials for breast cancer (BC). This study aimed to investigate the clinical relevance of gene expression in BC.

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Background: Body image issues are prevalent among individuals diagnosed with cancer, leading to detrimental effects on their physical and psychological recovery. eHealth has emerged as a promising approach for enhancing the body image of patients with cancer.

Objective: The purpose of this study was to evaluate the effectiveness of eHealth interventions on body image and other health outcomes (quality of life, physical symptoms, and emotional distress) among patients with cancer.

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Triple negative breast cancer (TNBC) is one of the deadliest subtypes of breast cancer, whose high frequency of relapse is often due to resistance to chemotherapy. Here, we identify inosine monophosphate dehydrogenase 2 (IMPDH2) as a contributor to doxorubicin resistance, in multiple TNBC models. Analysis of publicly available datasets reveals elevated IMPDH2 expression to associate with worse overall TNBC prognosis in the clinic, including lower recurrence-free survival post adjuvant/neoadjuvant therapy.

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Article Synopsis
  • Chemiluminescence (CL) is a chemical reaction that produces light without needing external energy sources, offering advantages in sensitivity and imaging.
  • Researchers developed a series of unimolecular probes that emit light in the near-infrared (NIR-II) range for better imaging, specifically targeting wavelengths up to 1060 nm.
  • The study successfully demonstrated these probes for real-time detection of superoxide anions in a mouse model of liver injury, highlighting their potential for advanced bioimaging and disease diagnosis.
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Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.

Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.

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Article Synopsis
  • The study addresses the challenges in evaluating large language models (LLMs) in pharmacology due to the absence of a comprehensive test set.
  • It creates a specialized pharmacology test set with tasks like drug information retrieval and trend summarization, comparing the performance of GPT-3.5 and GPT-4.
  • The findings show that while these models excel in understanding and summarizing pharmacological information, they struggle with specific tasks like drug identification and interaction retrieval, suggesting that enhancing them with retrieval-augmented generation or specialized knowledge bases could improve their efficacy in pharmacology.
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Angioimmunoblastic T-cell lymphoma (AITL) is a kind of aggressive T-cell lymphoma with significant enrichment of non-malignant tumor microenvironment (TME) cells. However, the complexity of TME in AITL progression is poorly understood. We performed single-cell RNA-Seq (scRNA-seq) and imaging mass cytometry (IMC) analysis to compare the cellular composition and spatial architecture between relapsed/refractory AITL (RR-AITL) and newly diagnosed AITL (ND-AITL).

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Purpose: This systematic review aimed to scrutinize the progression of symptom cluster research in adult cancer patients who received primary or adjuvant chemotherapy between 2001 and 2023, providing a comprehensive understanding of clinical practice and future research.

Methods: PubMed, Ovid MEDLINE, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, and Web of Science databases were searched for theme words and free words related to symptom clusters, cancer, and chemotherapy. Eligible studies were published between January 1, 2001, and May 30, 2023; adults who were diagnosed with cancer and received primary or adjuvant chemotherapy were evaluated.

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Intratumoral genomic heterogeneity (ITGH), the existence of genotypic and phenotypic variation within an individual tumor, is known to be a key mechanism in treatment resistance. Deviating gene Expression Profiling Tumor Heterogeneity 2 (DEPTH2) algorithm was developed to estimate ITGH using solely RNA expression data unlike the others that require both DNA- and RNA-expression data. Total of 6,500 breast cancer patients from multiple independent cohorts were analyzed using DEPTH2.

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Background And Aims: Guidelines for exercise recommendations are typically designed for the population as a whole and do not account for individual differences, making it challenging to provide personalized exercise training for individuals with complex conditions. To address this issue, this study aimed to develop PAHFKB (Physical Activity-Heart Failure Knowledge Base), a knowledge-based system for personalized exercise prescription (EP) for heart failure (HF), by mining, analyzing, and organizing existing literature and data on the relationship between physical activity (PA) and HF.

Methods: Firstly, 3186 citations on PAHF were gathered from PubMed.

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Myocardial infarction (MI) is characterized by massive cardiomyocyte (CM) death and cardiac dysfunction, and effective therapies to achieve cardioprotection are greatly needed. Here, we report that flavin-containing monooxygenase 2 (FMO2) levels were markedly increased in CMs in both ex vivo and in vivo models of ischemic injury. Genetic deletion of FMO2 resulted in reduced CM survival and enhanced cardiac dysfunction, whereas CM-specific FMO2 overexpression conferred a protective effect in infarcted rat hearts.

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Periodontitis and infections with periodontal bacteria have been highlighted as risk factors for dementia. In recent years, attention has been drawn to the role of microglia cells in neurodegenerative diseases. However, there is limited knowledge of the influence of periodontal bacteria on microglia cells.

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Urinary tract infection (UTI) is one of the most common bacterial infections worldwide and the most common cause is uropathogenic Escherichia coli (UPEC). Current research is mostly focused on how UPEC affects host factors, whereas the effect of host factors on UPEC is less studied. Our previous studies have shown that estrogen alters UPEC virulence.

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Article Synopsis
  • Lysophosphatidate (LPA) signaling plays a crucial role in wound healing but can promote chronic inflammation and cancers, particularly pancreatic ductal adenocarcinoma (PDAC), through autotaxin (ATX) production and its receptors.
  • Recent studies analyzed the expression of ATX, LPA receptors (LPARs), and lipid phosphate phosphatases (LPPs) in PDAC, revealing significant changes in their levels compared to normal pancreatic tissue, with some gene expressions linked to patient survival outcomes.
  • Epithelial cancer cells showed an increase in specific gene expressions associated with LPA signaling, while tumor fibroblasts displayed contrasting patterns, suggesting a complex shift in LPA's role from tissue repair to
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Patients with oligometastatic cancer (OMC) exhibit better response to local therapeutic interventions and a more treatable tendency than those with polymetastatic cancers. However, studies on OMC are limited and lack effective integration for systematic comparison and personalized application, and the diagnosis and precise treatment of OMC remain controversial. The application of large language models in medicine remains challenging because of the requirement of high-quality medical data.

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Article Synopsis
  • * Researchers developed a new imaging probe, DPA-HS, that uses sonoafterglow luminescence to accurately detect liver injury caused by metformin, responding specifically to markers of injury in the liver.
  • * DPA-HS demonstrates good sensitivity and selectivity for imaging, allowing deeper tissue visualization (about 20 mm) and may improve clinical diagnosis of metformin-induced liver damage in the future.
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Objective: This study aims to review the recent advances in community challenges for biomedical text mining in China.

Methods: We collected information of evaluation tasks released in community challenges of biomedical text mining, including task description, dataset description, data source, task type and related links. A systematic summary and comparative analysis were conducted on various biomedical natural language processing tasks, such as named entity recognition, entity normalization, attribute extraction, relation extraction, event extraction, text classification, text similarity, knowledge graph construction, question answering, text generation, and large language model evaluation.

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Robot-assisted surgery has evolved into a crucial treatment for prostate cancer (PCa). However, from its appearance to today, brain-computer interface, virtual reality, and metaverse have revolutionized the field of robot-assisted surgery for PCa, presenting both opportunities and challenges. Especially in the context of contemporary big data and precision medicine, facing the heterogeneity of PCa and the complexity of clinical problems, it still needs to be continuously upgraded and improved.

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Hypochlorite (ClO) is recognized as a bioactive substance that plays a crucial role in various physiological and pathological processes. The increase of ClO content in cells is a key factor in the early atherosclerosis lesions, which are closely linked to cardiovascular and cerebrovascular diseases. Therefore, the development of an efficient and sensitive method for detecting hypochlorite in tap water, serum, and living cells, including animal model in vivo is of paramount importance.

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  • Intestinal Behçet disease causes severe ulcers in the intestines and can lead to significant health issues; this study investigates the effectiveness of intestinal ultrasound as a monitoring tool compared to endoscopic findings and tissue samples.* -
  • The study analyzed ultrasound parameters like bowel wall thickness and vascularity in relation to the severity of ulcers discovered through endoscopy and pathological examinations, finding significant correlations between increased measurements and active ulcer stages.* -
  • Results suggest that intestinal ultrasound is a reliable method for assessing ulcer activity in Behçet disease, with specific metrics like a bowel wall thickness over 5.5 mm being indicative of active lesions.*
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Background: Academic paper writing holds significant importance in the education of medical students, and poses a clear challenge for those whose first language is not English. This study aims to investigate the effectiveness of employing large language models, particularly ChatGPT, in improving the English academic writing skills of these students.

Methods: A cohort of 25 third-year medical students from China was recruited.

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Objective: To investigate the clinical relevance of common myeloid progenitor (CMP) cells in breast tumor microenvironment (TME).

Background: The role of rare cells in TME is less studied. In Silico transcriptomic analyses of real-world data enable us to detect and quantify rare cells, including CMP cells.

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Phytohormones, epigenetic regulation and environmental factors regulate fruit ripening but their interplay during strawberry fruit ripening remains to be determined. In this study, bagged strawberry fruit exhibited delayed ripening compared with fruit grown in normal light, correlating with reduced abscisic acid (ABA) accumulation. Transcription of the key ABA catabolism gene, ABA 8'-hydroxylase FaCYP707A4, was induced in bagged fruit.

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Uropathogenic (UPEC) is the most common cause of urinary tract infections (UTIs) in humans. Testosterone negatively impacts UTIs by affecting the immune response, leading to higher susceptibility of chronic cystitis in individuals with elevated testosterone levels, regardless of gender. Current research is mostly focused on how testosterone affects the host response to UPEC, but not so much is known about how testosterone directly affect UPEC virulence.

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