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personalized treatment of well-differentiated gastric neuroendocrine tumors based on clinicopathological classification and grading:A multicenter retrospective study

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Chinese Medical Journal 2024年第6期137卷 720-728页

作者： Ju Huang Huimin Liu Dekun Yang Tianming Xu Jing Wang Jingnan Li Department of Gastroenterology Peking Union Medical College HospitalChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100730China Key Laboratory of Gut Microbiota Translational Medicine Research Chinese Academy of Medical SciencesBeijing 100730China Department of Gastroenterology Affiliated Yantai Yuhuangding Hospital of Qingdao University Medical CollegeYantaiShandong 264000China Department of Gastroenterology Beijing Zhong-Neng-Jian HospitalBeijing 102401China

Background:The incidence of well-differentiated gastric neuroendocrine tumors(G-NET)is increasing annually,and while they have a good prognosis and low mortality rate,their high recurrence rate makes treatment options *** study aims to determine the relationship between individualized treatment plans and the recurrence of ***:We performed a multicenter,retrospective study of 94 patients with highly differentiated G-NET and treated at Peking Union Medical College Hospital,Yantai Yuhuangding Hospital,and Beijing Zhong-Neng-Jian Hospital from November 2015 to September *** factors for recurrence of G-NETs were investigated using chi-squared test and multifactorial logistic regression ***:After a median follow-up of 49 months,the overall recurrence rate among the 94 G-NET patients was 14%(13/94).The recurrence rates of endoscopic mucosal resection(EMR),endoscopic submucosal dissection(ESD),somatostatin analog(SSA)therapy,and surgery were 43%(6/14),10%(5/49),5%(1/22),and 11%(1/9),***-treatment recurrence rates were significantly different(P=0.014)among four treatments(EMR,ESD,SSA,and surgery),and further subgroup comparisons revealed lower recurrence rates in the ESD and SSA groups than in the EMR *** the second month onward,SSA therapy considerably reduced the gastrin levels from 1081.0(571.5,2472.8)pg/mL to 461.5(255.3,795.0)pg/mL(Z=-3.521,Ptreatment gastrin level(P=0.018 and 0.005)and the type of treatment(P=0.014 and 0.017)were significantly associated with G-NET ***:Individualized treatment strategies may reduce the risk of relapse after G-NET ***-term SSA therapy may be a secure and efficacious treatment option for type 1 G-NET with more than six lesions,and it substantially decreases the incidence of post-treatment rec

关键词： Well-differentiated G-NET Serum gastrin personalized treatment Endoscopic submucosal dissection Endoscopic mucosal resection Somatostatin analog therapy Surgical resection Recurrence

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Clinical application of the endometrial microbiota test combined with personalized treatment in patients with repeated implantation failure

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生殖与发育医学(英文) 2024年第1期08卷 18-23页

作者： Chen Rou-Zhu Wang Yan-Fang Chen Pei-Gen Fang Cong Li Ting-Ting Reproductive Medicine Center The Sixth Affiliated Hospital 3. Sun Yat-sen University 4. Guangzhou 510655 5. China

Objective: The objective of this study was to investigate the clinical value of the endometrial microbiota test (EMT) combined with personalized treatment in patients with repeated implantation failure (RIF).Methods: From March 2019 to August 2022, the clinical data of patients with RIF at the Reproductive Medicine Research Center of the Sixth Affiliated Hospital of Sun Yat-sen University were retrospectively analyzed. A total of 356 patients underwent the EMT using 16S rRNA sequencing and were included in the EMT group. The SPSS statistical software propensity score was set at 1:1 to match the age, anti-Müllerian hormone (AMH), antral follicle count (AFC), years of infertility, and body mass index (BMI) of the women who had not undergone the EMT; subsequently, 354 patients were classified in the non-EMT group. We compared the clinical characteristics of the two groups and analyzed the clinical pregnancy outcomes after personalized ***: The clinical pregnancy rate (CPR) of the EMT group was significantly higher than that of the non-EMT group (47.81%vs. 13.38%,P treatment, the pregnancy rates of groups C and D were higher than those of group A (44.00%vs. 20.00% and 55.03%vs. 20.00%, respectively; bothP <0.05).Conclusion:

关键词： Endometrial microbiota test Assisted reproductive technology Repeated implantation failure personalized treatment

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Can dietary flavonoids be useful in the personalized treatment of colorectal cancer?

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World Journal of Gastrointestinal Oncology 2022年第6期14卷 1115-1123页

作者： Cristina Pereira-Wilson Department of Biology Centre of Biological EngineeringLABBELS Associate LaboratoryUniversity of MinhoBraga 4710-057Portugal

Activating mutations in the oncogenes KRAS,BRAF and PI3K define molecular colorectal cancer(CRC)subtypes because they play key roles in promoting CRC development and in determining the efficacy of chemotherapeutic agents such as 5-fluorouracil and anti-epidermal growth factor receptor monoclonal *** of patients with cancers displaying these molecular profiles is *** the limited efficacy of therapeutic strategies for CRC presenting mutational activations in mitogen-activated protein kinase and/or PI3K pathways,developing combination therapies with natural flavonoids or other phytochemicals with demonstrated effects on these pathways(and little or no toxic effects)may constitute a valuable path *** has been published on the anticancer effects of dietary ***,even an exhaustive characterization of potential beneficial effects produced by in vitro studies cannot be extrapolated to effects in *** far,the available data constitute a good starting *** results show quercetin and curcumin as possibly the best candidates to be further explored in the context of adjuvant CRC therapy either as part of dietary prescriptions or as purified compounds in combination regimens with the drugs currently used in CRC *** trial data is still largely missing and is urgently needed to verify relevant effects and for the development of more personalized treatment approaches.

关键词： Colorectal cancer personalized treatment Quercetin Curcumin KRAS BRAF

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Clinical application of three-dimensional printing in the personalized treatment of complex spinal disorders

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Chinese Journal of Traumatology 2016年第1期19卷 31-34页

作者： Yi-Tian Wang xin-Jian Yang Bin yan Teng-Hui Zeng Yi-Yan Qiu si-Jin Chen Clinical School of Shenzhen Second People's Hospital Anhui Medical University Hefei 2300712 China Department of Spinal SurGery Shenzhen Second Peoples' Hospital Shenzhen 518035 China

OBJECTIVE:To investigate the usefulness of three-dimensional (3D) printing in complex spinal surgery.;METHODS:The study was conducted from October 2014 to March 2015 in Shenzhen Second Peoples' Hospital and 4 cases of complex severe spinal disorders were selected from our department. Among them one patient combined with congenital scoliosis, one with atlas neoplasm, one with atlantoaxial dislocation, and the rest one with atlantoaxial fracture-dislocation. The data of the diseased region was collected from computerized tomography scans for 3D digital reconstruction and rapid prototyping to prepare photosensitive resin models, which were applied in the treatment of these cases.;RESULTS:The use of 3D models reduced operating time and intraoperative blood loss as well as the risk of postoperative complications. Furthermore, no pedicle penetrations or screw misplacement occurred according to the postoperative planar radiographic images.;CONCLUSIONS:The tactile models from 3D printing allow direct observation and measurement, helping the orthopedists to have accurate morphometric information to provide personalized surgical planning and better communication with the patient and coworkers. Moreover, the photosensitive resin models can also guide the actual surgery with the drilling of pedicle screws and safe resection of tumor.

关键词： Complex spinal disorders Three-dimensional printing personalized treatment

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Extensive prediction of drug response in mutation-subtype-specific LUAD with machine learning approach

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Oncology Research 2024年第2期32卷 409-419页

作者： KEGANG JIA YAWEI WANG QI CAO YOUYU WANG Department of Thoracic Surgery Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduChina School of Medicine University of Electronic Science and Technology of ChinaChengduChina Department of Assisted Reproductive Medicine Sichuan Provincial Academy of Medical Sciences&Sichuan Provincial People’s HospitalChengduChina

Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death *** failure in lung cancer(LUAD)is heavily influenced by drug *** challenge stems from the diverse cell populations within the tumor,each having unique genetic,epigenetic,and phenotypic *** variations lead to varied therapeutic responses,thereby contributing to tumor relapse and disease ***:The Genomics of Drug Sensitivity in Cancer(GDSC)database was used in this investigation to obtain the mRNA expression dataset,genomic mutation profile,and drug sensitivity information of *** Learning(ML)methods,including Random Forest(RF),Artificial Neurol Network(ANN),and Support Vector Machine(SVM),were used to predict the response status of each compound based on the mRNA and mutation characteristics determined using statistical *** most suitable method for each drug was proposed by comparing the prediction accuracy of different ML methods,and the selected mRNA and mutation characteristics were identified as molecular features for the drug-responsive cancer ***,the prognostic influence of molecular features on the mutational subtype of LUAD in publicly available ***:Our analyses yielded 1,564 gene features and 45 mutational features for 46 *** the ML approach to predict the drug response for each medication revealed an upstanding performance for SVM in predicting Afuresertib drug response(area under the curve[AUC]0.875)using CIT,GAS2L3,STAG3L3,ATP2B4-mut,and IL15RA-mut as molecular ***,the ANN algorithm using 9 mRNA characteristics demonstrated the highest prediction performance(AUC 0.780)in Gefitinib with ***:This work extensively investigated the mRNA and mutation signatures associated with drug response in LUAD using a machine-learning approach and proposed a priority algorithm to predict drug response for different drugs.

关键词： Lung adenocarcinoma Drug resistance Machine learning Molecular features personalized treatment

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World Journal of Gastrointestinal Oncology 2024年第8期16卷 3372-3375页

作者： Lei Gao Qiang Lin Department of Medical Imaging North China Petroleum Bureau General HospitalHebei Medical UniversityRenqiu 062552Hebei ProvinceChina Department of Oncology North China Petroleum Bureau General HospitalHebei Medical UniversityRenqiu 062552Hebei ProvinceChina

Gastric cancer ranks as the sixth most prevalent cancer *** recent research within the realm of gastric cancer treatment,the identification and application of immune-related genetic features have emerged as groundbreaking *** study by Ma et al,which developed a prognostic model based on 10 genes,categorizes patients into high and low-risk groups to predict their responsiveness to immune checkpoint inhibitor *** research underscores the potential of immune-related genes as biomarkers for personalized treatment,offering insights into tumor mutation burden and immune phenotype *** advocate for further validation,understanding of biological mechanisms,and integration of diverse datasets to enhance the model's predictive accuracy and clinical application,marking a significant step towards personalized and precise treatment for gastric cancer.

关键词： Gastric cancer personalized treatment Immune-related genes Immunotherapy Genomics

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Harnessing the Power of Artificial Intelligence in Neuromuscular Disease Rehabilitation: A Comprehensive Review and Algorithmic Approach

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Advances in Bioscience and Biotechnology 2024年第5期15卷 289-309页

作者： Rocco de Filippis Abdullah Al Foysal Institute of Psychopathology Rome Italy Computer Engineering (AI) University of Genova Genova Italy

Neuromuscular diseases present profound challenges to individuals and healthcare systems worldwide, profoundly impacting motor functions. This research provides a comprehensive exploration of how artificial intelligence (AI) technology is revolutionizing rehabilitation for individuals with neuromuscular disorders. Through an extensive review, this paper elucidates a wide array of AI-driven interventions spanning robotic-assisted therapy, virtual reality rehabilitation, and intricately tailored machine learning algorithms. The aim is to delve into the nuanced applications of AI, unlocking its transformative potential in optimizing personalized treatment plans for those grappling with the complexities of neuromuscular diseases. By examining the multifaceted intersection of AI and rehabilitation, this paper not only contributes to our understanding of cutting-edge advancements but also envisions a future where technological innovations play a pivotal role in alleviating the challenges posed by neuromuscular diseases. From employing neural-fuzzy adaptive controllers for precise trajectory tracking amidst uncertainties to utilizing machine learning algorithms for recognizing patient motor intentions and adapting training accordingly, this research encompasses a holistic approach towards harnessing AI for enhanced rehabilitation outcomes. By embracing the synergy between AI and rehabilitation, we pave the way for a future where individuals with neuromuscular disorders can access tailored, effective, and technologically-driven interventions to improve their quality of life and functional independence.

关键词： Neuromuscular Diseases Rehabilitation Artificial Intelligence Machine Learning Robotic-Assisted Therapy Virtual Reality personalized treatment Motor Function Assistive Technologies Algorithmic Rehabilitation

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Sepsis heterogeneity

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World Journal of Pediatrics 2023年第10期19卷 919-927页

作者： Wei Wang Chun-Feng Liu Department of Pediatrics ShengJing Hospital of China Medical UniversityNo.36SanHao StreetShenyang CityLiaoning Province 110004China

Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection,with extremely high ***,sepsis is a heterogeneous syndrome characterized by a vast,multidimensional array of clinical and biologic features,which has hindered advances in the therapeutic field beyond the current *** sources We used PubMed to search the subject-related medical literature by searching for the following single and/or combination keywords:sepsis,heterogeneity,personalized treatment,host response,infection,epidemiology,mortality,incidence,age,children,sex,comorbidities,gene susceptibility,infection sites,bacteria,fungi,virus,host response,organ dysfunction and *** We found that host factors(age,biological sex,comorbidities,and genetics),infection etiology,host response dysregulation and multiple organ dysfunctions can all result in different disease manifestations,progression,and response to treatment,which make it difficult to effectively treat and manage sepsis *** Herein,we have summarized contributing factors to sepsis heterogeneity,including host factors,infection etiology,host response dysregulation,and multiple organ dysfunctions,from the key elements of pathogenesis of *** in-depth understanding of the factors that contribute to the heterogeneity of sepsis will help clinicians understand the complexity of sepsis and enable researchers to conduct more personalized clinical studies for homogenous patients.

关键词： Heterogeneity Host response Infection personalized treatment Sepsis

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Skin Organoid Research Progress and Potential Applications

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International Journal of Dermatology and Venereology 2022年第2期5卷 101-106页

作者： Hong-Yang Li Kun Ren Cheng Wang Wen-Bo Bu Pharmacal Research Laboratory Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIsHospital for Skin Diseases(Institute of Dermatology)Chinese Academy of Medical Science and Peking Union Medical CollegeNanjingJiangsu 210042China Jiangsu Center for Pharmacodynamics Research and Evaluation China Pharmaceutical UniversityNanjingJiangsu 210009China Department of Dermatology Zhongda Hospital Southeast UniversityNanjingJiangsu 210009China Department of Surgery Hospital for Skin Diseases(Institute of Dermatology)Chinese Academy of Medical Science and Peking Union Medical CollegeNanjingJiangsu 210042China.

Skin diseases were characterized by various types and high incidence,which seriously affect people’s *** present,skin pathogenesis research and the therapeutic drug development for skin diseases are limited by the lack of reasonable research models that recapitulate the development of skin *** are three-dimensionally cultured cell populations derived from skin stem cells,which exhibits the ability of multicell assembly and the similar histological characteristics with the living tissues and *** article reviews the establishment of normal skin organoids and skin tumor organoids,and summarizes the application of skin organoids in the evaluation of drug sensitivity,pathological mechanism research,and individualized *** addition,the advantages and limitations of organoids in skin disease research are also discussed,which provides a basis for revealing the pathogenesis of skin diseases and developing preventive and therapeutic drugs for skin diseases.

关键词： skin disease organoid three-dimensional culture personalized treatment drug screening

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Potential diagnostic biomarkers for schizophrenia

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Medical Review 2022年第4期2卷 385-416页

作者： Weihua Yue Hailiang Huang Jubao Duan Research Unit of Diagnosis and treatment of Mood Cognitive Disorder Chinese Academy of Medical Sciences(2018RU006)Institute of Mental HealthPeking University Sixth HospitalNo.51 Hua Yuan Bei RoadBeijing100191China National Clinical Research Center for Mental Disorders&NHC Key Laboratory of Mental Health(Peking University) Beijing100191China PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing100871China Chinese Institute for Brain Research Beijing102206China Analytic and Translational Genetics Unit Massachusetts General HospitalBostonMAUSA Stanley Center for Psychiatric Research Broad Institute of MIT and HarvardCambridgeMAUSA Department of Medicine Harvard Medical SchoolBostonMAUSA Center for Psychiatric Genetics NorthShore University Health SystemEvanstonILUSA Department of Psychiatry and Behavioral Neurosciences University of ChicagoChicagoILUSA

Schizophrenia(SCH)is a complex and severe mental disorder with high prevalence,disability,mortality and carries a heavy disease burden,the lifetime prevalence of SCH is around 0.7%–1.0%,which has a profound impact on the individual and *** the clinical practice of SCH,key problems such as subjective diagnosis,experiential treatment,and poor overall prognosis are still *** recent years,some exciting discoveries have been made in the research on objective biomarkers of SCH,mainly focusing on genetic susceptibility genes,metabolic indicators,immune indices,brain imaging,electrophysiological *** review aims to summarize the biomarkers that may be used for the prediction and diagnosis of SCH.

关键词： accurate diagnosis multi-omics data objective biomarkers personalized treatment schizophrenia

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