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Articles by Lang Wu
Deciphering immunosuppressive niches by spatial single-cell proteomics: spatial interaction networks and translational opportunities
Abstract Although immunocheckpoint blocking therapy has been successful in a variety of cancers, its long-term response is still rare. The difference between initial clinical benefits and persistent disease control reflects the complexity of intratumor immunomodulation. People’s attention is increasingly shifting from a single group of cells to the spatial environment in which these cells live.
The evolution of cellular-based immunotherapy in the treatment of gastric cancer: an overview of clinical trials
[1] Dazhou Vocational College of Chinese Medicine, Dazhou, China [2] Department of Public Health and Healthcare Management, Rector, Samarkand State Medical University, Samarkand, Uzbekistan [3] Research Center for Advanced Materials Science (RCAMS), King Khalid University, Abha, Saudi Arabia [4] Al-Farahidi University, Baghdad, Iraq [5] Department of Faculty and Hospital Therapy, Tashkent State Medical University, Tashkent, Uzbekistan [6] Department of Psychology and Medicine, Mamun...
Alzheimer’s disease proteome-wide association study implicates adaptive immunity and identifies risk genes LILRB1 and SIRPA
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Editor’s summary Abstract Supplementary Materials REFERENCES AND NOTES Information & Authors Metrics & Citations Check Access References Figures Tables Media Share Editor’s summary Mounting evidence suggests that perturbations outside the central nervous system (CNS) can modulate Alzheimer’s disease (AD).
By xiaofan LI, Ruyi Zhou, Keenan A. Walker, Cassandra O. Blew, Michael Duggan, Gabriela Gomez, Shannon M. Drouin, Jingsha Chen, Jingning Zhang, Tibor Nanasi, Benoit Lehallier, Hamilton OH, Aditya Surapaneni, Morgan E. Grams, Priya Palta, Kevin Sullivan, Alexa Pichet Binette, Lang Wu, Jingjing Zhu, Hampton Leonard, Andrew Singleton, Myriam Fornage, Cassie Joynes, Jenifer Cordon, Balint File
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Computer Science > Computer Vision and Pattern Recognition
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Integrative Harmonization of Phenotypic and Genomic Data Improves Bone Mineral Density Prediction in Multi‐Study Osteoporosis Research
1 Introduction Osteoporosis, a chronic condition characterized by reduced bone mineral density (BMD) and increased fracture risk, affects approximately 18.3% of the global population, with 1 in 3 women and 1 in 5 men over 50 predicted to experience an osteoporotic fracture (Sozen et al. 2017; Kanis et al. 2019).
Liquid biopsy diagnostics for non-small cell lung cancer via elucidation of tRNA signatures - Communications Medicine
Abstract Lung cancer, particularly non-small cell lung cancer (NSCLC), accounts for about 85% of all lung cancer cases and remains a major global health challenge. Traditional diagnostic methods, such as chest X-rays and low-dose CT scans, have limitations, including high false-positive rates, radiation risks, and the invasiveness of tissue biopsies. This study aims to develop a non-invasive liquid biopsy approach for early NSCLC diagnosis.
Pre- and post-diagnosis dietary total antioxidant capacity and overall survival in patients with ovarian cancer: a prospective cohort study - Nutrition Journal
References Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74:229–63. PubMed Google Scholar Cabasag CJ, Fagan PJ, Ferlay J, Vignat J, Laversanne M, Liu L, van der Aa MA, Bray F, Soerjomataram I. Ovarian cancer today and tomorrow: A global assessment by world region and human development index using GLOBOCAN 2020. Int J Cancer.
Improved multiancestry fine-mapping identifies cis-regulatory variants underlying molecular traits and disease risk - Nature Genetics
Abstract Multiancestry statistical fine-mapping of cis-molecular quantitative trait loci (cis-molQTL) aims to improve the precision of distinguishing causal cis-molQTLs from tagging variants. Here we present the sum of shared single effects (SuShiE) model, which leverages linkage disequilibrium heterogeneity to improve fine-mapping precision, infer cross-ancestry effect size correlations and estimate ancestry-specific expression prediction weights.
Comparison of computationally efficient approximate methods for nonlinear and generalized linear mixed effects models
Advanced search Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/00949655.2025.2502547?needAccess=true Abstract Generalized linear mixed models (GLMMs) and nonlinear mixed effects (NLME) models are popular in the analysis of longitudinal or clustered data. Statistical inference is typically based on likelihood methods.
Integrating Pose Features and Cross-Relationship Learning for Human-Object Interaction Detection
Article Menu /ajax/scifeed/subscribe Altmetric announcement Help format_quote Cite Need Help? Find support for a specific problem in the support section of our website. Please let us know what you think of our products and services. Visit our dedicated information section to learn more about MDPI.
AI in Biomedicine-A Forward-Looking Perspective on Health Equity
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Prognostic‐Based Active Battery Degradation Management in Wireless Sensor Networks for Group Replacement
References 1 and , “Internet of Things (IoT), Applications and Challenges: A Comprehensive Review,” Wireless Personal Communications 114 (2020): 1687–1762. 2, , , , and , “A Review and State of Art of Internet of Things (IoT),” Archives of Computational Methods in Engineering (2021): 1–19. 3, , and , “Internet of Things: A General Overview Between Architectures, Protocols and Applications,” Information 12, no. 2 (2021): 87.
Combined CRISPRi and Proteomics Screening Reveal a Cohesin-Ctcf-Bound Allele Contributing to Increased Expression of RUVBL1 and Prostate Cancer Progression
Genome-wide association studies along with expression quantitative trait locus (eQTL) mapping have identified hundreds of single-nucleotide polymorphisms (SNPs) and their target genes in prostate cancer (PCa), yet functional characterization of these risk loci remains challenging.
"Polygenic Risk Score Improves the Accuracy of a Clinical Risk Score fo" by Austin King, Lang Wu et al.
BACKGROUND: The value of polygenic risk scores (PRSs) towards improving guideline-recommended clinical risk models for coronary artery disease (CAD) prediction is controversial. Here we examine whether an integrated polygenic risk score improves the prediction of CAD beyond pooled cohort equations. METHODS: An observation study of 291,305 unrelated White British UK Biobank participants enrolled from 2006 to 2010 was conducted.
Natural Products‐Based Anticancer Agents: Synthesis and Anticancer Activities of Funtumine Amide/sulfonamide Derivatives
Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
Fine Mapping Regulatory Variants by Characterizing Native CpG Methylation with Nanopore Long Read Sequencing
Abstract 5-methylcytosine (5mC) is the most common chemical modification occurring on the CpG sites across the human genome. Bisulfite conversion combined with short-read whole genome sequencing can capture and quantify the modification at single nucleotide resolution. However, the PCR amplification process could lead to duplicative methylation patterns and introduce 5mC detection bias. Additionally, the limited read length also restricts co-methylation analysis between distant CpG sites.
Study on CO2 Emission Forecast of “Four Provinces of Mountains and Rivers” Based on Time-SeriesMachine Learning
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Identify Regulatory eQTLs by Multiome Sequencing in Prostate Single Cells
Abstract While genome-wide association studies and expression quantitative trait loci (eQTL) analysis have made significant progress in identifying noncoding variants associated with prostate cancer risk and bulk tissue transcriptome changes, the regulatory effect of these genetic elements on gene expression remains largely unknown.
Novel blood metabolite biomarkers linked to Alzheimer's disease
Alzheimer's disease (AD) is the most common form of dementia and affects memory and thinking in the elderly. With a projected global increase in the number of affected individuals, reaching an estimated 152.8 million by 2050, health care systems are grappling with a substantial burden. There is an urgency to improve the understanding of its origin and find effective solutions for this growing public health issue.
A Survey on Blockchain-Based Federated Learning
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Plug-and-Play Module for Reversible and Continuous Control of DNA Strand Displacement Kinetics
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Am. Chem. Soc. 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
Plug-and-Play Module for Reversible and Continuous Control of DNA Strand Displacement Kinetics
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Am. Chem. Soc. 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
Asian presence in Lido
The 80th Venice International Film Festival starts on Aug. 30. It will take place in Venice Lido. The good news is Cross My Heart and Hope to Die by director Sam Manacsa is competing in the Orrizonti short films competition. This is a feat for our young Filipino filmmakers who are pushing themselves to enter the global film stage.
Combined CRISPRi and proteomics screening reveal a cohesin-CTCF-bound allele contributing to increased expression of RUVBL1 and prostate cancer progression
Abstract Genome-wide association studies along with expression quantitative trait loci (eQTL) mapping have identified hundreds of single nucleotide polymorphisms (SNPs) and their target genes in prostate cancer (PCa), yet functional characterization of these risk loci remains challenging.
Ovarian Cancer and Parkinson’s Disease: A Bidirectional Mendelian Randomization Study
Open AccessArticle by 1,2,†, 1,2,†, 3, 4, 1,5,6, 2, 2,* and 1,2,5,6,* 1 Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China 2 Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China 3 Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA 4 Fujian Provincial Key Laboratory...
Combined CRISPR and proteomics screening reveal a cohesin-CTCF-bound allele contributing to increased expression of RUVBL1 and prostate cancer progression
Abstract Introduction: Genome-wide association studies along with expression quantitative trait loci (eQTL) have identified hundreds of single nucleotide polymorphisms (SNPs) and their target genes in prostate cancer (PrCa). Although these genetic associations to PrCa have been widely reported, functional characterization of these risk loci remains challenging.
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification - Nature Communications
Abstract Genes with moderate to low expression heritability may explain a large proportion of complex trait etiology, but such genes cannot be sufficiently captured in conventional transcriptome-wide association studies (TWASs), partly due to the relatively small available reference datasets for developing expression genetic prediction models to capture the moderate to low genetically regulated components of gene expression.
Analysis of Over 140,000 European Descendants Identifies Genetically Predicted Blood Protein Biomarkers Associated with Prostate Cancer Risk
Genome and Epigenome Lang Wu, Xiang Shu, Jiandong Bao, Xingyi Guo; the PRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortia, Zsofia Kote-Jarai, Christopher A. Haiman, Rosalind A. Eeles and Wei Zheng DOI: 10.1158/0008-5472.CAN-18-3997 Published September 2019 This article requires a subscription to view the full text. You may purchase access to this article or login to access your subscription using the links below. Abstract Several blood protein biomarkers have been associated with prostate cancer risk.
Analysis of Over 140,000 European Descendants Identifies Genetically Predicted Blood Protein Biomarkers Associated with Prostate Cancer Risk
Genome and Epigenome Lang Wu, Xiang Shu, Jiandong Bao, Xingyi Guo; the PRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortia, Zsofia Kote-Jarai, Christopher A. Haiman, Rosalind A. Eeles and Wei Zheng DOI: 10.1158/0008-5472.CAN-18-3997 Abstract Several blood protein biomarkers have been associated with prostate cancer risk. However, most studies assessed only a small number of biomarkers and/or included a small sample size.
Analysis of over 140,000 European descendants identifies genetically-predicted blood protein biomarkers associated with prostate cancer risk
Research Article Lang Wu, Xiang Shu, Jiandong Bao, Xingyi Guo, CRUK, BPC3, CAPS, PEGASUS consortia PRACTICAL, Zsofia Kote-Jarai, Christopher A. Haiman, Rosalind A. Eeles and Wei Zheng DOI: 10.1158/0008-5472.CAN-18-3997 Abstract Several blood protein biomarkers have been associated with prostate cancer (PrCa) risk. However, most studies assessed only a small number of biomarkers and/or included a small sample size.
Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk: A Transcriptome-Wide Association Study in Over 140,000 European Descendants
Genome and Epigenome Lang Wu, Jifeng Wang, Qiuyin Cai, Taylor B. Cavazos, Nima C. Emami, Jirong Long, Xiao-Ou Shu, Yingchang Lu, Xingyi Guo, Joshua A. Bauer, Bogdan Pasaniuc, Kathryn L. Penney, Matthew L. Freedman; and the PRACTICAL, CRUK, BPC3, CAPS, PEGASUS Consortia, Zsofia Kote-Jarai, John S. Witte, Christopher A. Haiman, Rosalind A. Eeles and Wei Zheng DOI: 10.1158/0008-5472.CAN-18-3536 Published July 2019 This article requires a subscription to view the full text.
Identification of novel susceptibility loci and genes for prostate cancer risk: A transcriptome-wide association study in over 140,000 European descendants
Research Article Lang Wu, Jifeng Wang, Qiuyin Cai, Taylor B Cavazos, Nima C Emami, Jirong Long, Xiao-Ou Shu, Yingchang Lu, Xingyi Guo, Joshua A. Bauer, Bogdan Pasaniuc, Kathryn L. Penney, Matthew L Freedman, CRUK, BPC3, CAPS, PEGASUS consortia PRACTICAL, Zsofia Kote-Jarai, John S. Witte, Christopher A. Haiman, Rosalind A. Eeles and Wei Zheng DOI: 10.1158/0008-5472.CAN-18-3536 Abstract Genome-wide association studies have identified genetic variants associated with prostate cancer risk.
Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
Genome and Epigenome Yaohua Yang, Lang Wu, Xiang Shu, Yingchang Lu, Xiao-Ou Shu, Qiuyin Cai, Alicia Beeghly-Fadiel, Bingshan Li, Fei Ye, Andrew Berchuck, Hoda Anton-Culver, Susana Banerjee, Javier Benitez, Line Bjørge, James D. Brenton, Ralf Butzow, Ian G. Campbell, Jenny Chang-Claude, Kexin Chen, Linda S. Cook, Daniel W. Cramer, Anna deFazio, Joe Dennis, Jennifer A. Doherty, Thilo Dörk, Diana M. Eccles, Digna Velez Edwards, Peter A. Fasching, Renée T. Fortner, Simon A. Gayther, Graham G.
Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk
Genetic data from nearly 63,000 women of European descent predicts DNA methylation biomarkers and epithelial ovarian cancer risk Yaohua Yang, Lang Wu, Xiang Shu, Yingchang Lu, Xiao-ou Shu, Qiuyin Cai, Alicia Beeghly-Fadiel, Bingshan Li, Fei Ye, Andrew Berchuck, Hoda Anton-Culver, Susana Banerjee, Javier Benitez, Line Bjørge, James D. Brenton, Ralf Butzow, Ian G. Campbell, Jenny Chang-Claude, Kexin Chen, Linda S. Cook, Daniel W. Cramer, Anna DeFazio, Joe Dennis, Jennifer A.
A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
Translational Science Yingchang Lu, Alicia Beeghly-Fadiel, Lang Wu, Xingyi Guo, Bingshan Li, Joellen M. Schildkraut, Hae Kyung Im, Yian A. Chen, Jennifer B. Permuth, Brett M. Reid, Jamie K. Teer, Kirsten B. Moysich, Irene L. Andrulis, Hoda Anton-Culver, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Javier Benitez, Line Bjorge, James Brenton, Ralf Butzow, Trinidad Caldes, Maria A. Caligo, Ian Campbell, Jenny Chang-Claude, Kathleen B.M. Claes, Fergus J. Couch, Daniel W. Cramer, Mary B.
A transcriptome-wide association study among 97,898 women to identify candidate susceptibility genes for epithelial ovarian cancer risk
A transcriptome-wide association study among 97,898 women to identify candidate susceptibility genes for epithelial ovarian cancer risk Yingchang Lu, Alicia Beeghly-Fadiel, Lang Wu, Xingyi Guo, Bingshan Li, Joellen M. Schildkraut, Hae Kyung Im, Yian Ann Chen, Jennifer B Permuth, Brett M. Reid, Jamie K. Teer, Kirsten B. Moysich, Irene L. Andrulis, Hoda Anton-Culver, Banu K Arun, Elisa V. Bandera, Rosa B Barkardottir, Daniel R.
A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer
The authors thank J. He, W. Wen, A. Giri and T. Edwards of Vanderbilt Epidemiology Center and R. Tao of the Department of Biostatistics, Vanderbilt University Medical Center for their help with the data analysis of this study. The authors would also like to thank all of the individuals for their participation in the parent studies and all of the researchers, clinicians, technicians and administrative staff for their contribution to the studies. We are also grateful to H. K.
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