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1545P DNA damage repair (DDR) gene mutations (mut) are predictors of response to platinum-based chemotherapy in advanced pancreatic cancer (PC) patients (pts)

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Annals of Oncology 2020年 31卷 S947-S947页

作者： H. Verdaguer M. Guardiola F.M. Mancuso D.A. Acosta Eyzaguirre E. Buxò J. Hernando M. Diez Garcia B. Laquente I. Baraibar Argota F.J. Ros Montañá A. Garcia-Alvarez J. Matito A. Martin A. Sierra G. Villacampa Javierre C. Molero J.M. Miquel A. Vivancos R. Dienstmann T. Macarulla Mercadé Medical Onology Vall d`Hebron University Hospital Institut d'Oncologia Barcelona Spain Oncology Data Science Vall d`Hebron University Hospital Institut d'Oncologia Barcelona Spain Cancer Genomics Vall d'Hebron Institute of Oncology (VHIO) Barcelona Spain Medical Oncology Department Vall d'Hebron University Hospital Barcelona Spain Medical Oncology Department Vall Hebron University Hospital Vall Hebron Institute of Oncology (VHIO) Barcelona Spain Medical Oncology Department ICO - Institut Catala d'Oncologia Hospital Duran i Reynals Hospitalet De Llobregat Spain Medical Oncology Vall d'Hebron University Hospital Barcelona Spain Oncology Vall d'Hebron University Hospital Barcelona Spain Prescreening Program VHIO BArcelona Spain Statistics Department Vall d'Hebron Institute of Oncology (VHIO) Barcelona Spain Project Managment Vall d'Hebron Institute of Oncology (VHIO) Barcelona Spain Genomics Vall d'Hebron University Hospital Barcelona Spain Oncology Data Science Vall d'Hebron University Hospital Barcelona Spain Medical Oncology D'Hebron University Hospital (HUVH) Barcelona Spain

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FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv

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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

arXiv

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arXiv 2021年

作者： Sanders, Lauren M. Yang, Jason H. Scott, Ryan T. Qutub, Amina Ann Martin, Hector Garcia Berrios, Daniel C. Hastings, Jaden J.A. Rask, Jon Mackintosh, Graham Hoarfrost, Adrienne L. Chalk, Stuart Kalantari, John Khezeli, Kia Antonsen, Erik L. Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Delgado-Aparicio, Guillermo M. Glicksberg, Benjamin S. Greene, Casey S. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Mason, Christopher E. Matar, Mona Mias, George I. Miller, Jack Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Park, Seung-Min Parsons-Wingerter, Patricia Prabhu, R.K. Reynolds, Robert J. Saravia-Butler, Amanda Saria, Suchi Sawyer, Aenor Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik Theriot, Corey A. van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Zitnik, Marinka Costes, Sylvain V. Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Center for Emerging and Re-Emerging Pathogens Department of Microbiology Biochemistry and Molecular Genetics Rutgers New Jersey Medical School NewarkNJ07103 United States KBR Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States AI MATRIX Consortium Department of Biomedical Engineering University of Texas San Antonio and UT Health Sciences San AntonioTX78249 United States Biological Systems and Engineering Division Lawrence Berkeley National Lab. BerkeleyCA94608 United States DOE Agile BioFoundry EmeryvilleCA94608 United States Joint BioEnergy Institute EmeryvilleCA94608 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Office of the Center Director NASA Ames Research Center Moffett Field CA94035 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett Field CA94035 United States Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Center for Individualized Medicine Department of Surgery Department of Quantitative Health Sciences Mayo Clinic RochesterMN55905 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin - Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Data Science Analytics Georgia Institute of Technology Lima15024

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space. © 2021, CC BY.

关键词： Predictive analytics

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Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

arXiv

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arXiv 2021年

作者： Scott, Ryan T. Antonsen, Erik L. Sanders, Lauren M. Hastings, Jaden J.A. Park, Seung-Min Mackintosh, Graham Reynolds, Robert J. Hoarfrost, Adrienne L. Sawyer, Aenor Greene, Casey S. Glicksberg, Benjamin S. Theriot, Corey A. Berrios, Daniel C. Miller, Jack Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Chalk, Stuart Delgado-Aparicio, Guillermo M. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Kalantari, John Khezeli, Kia Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Martin, Hector Garcia Mason, Christopher E. Matar, Mona Mias, George I. Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Parsons-Wingerter, Patricia Prabhu, R.K. Qutub, Amina Ann Rask, Jon Saravia-Butler, Amanda Saria, Suchi Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Yang, Jason H. Zitnik, Marinka Costes, Sylvain V. KBR Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Department of Urology Department of Radiology Stanford University School of Medicine StanfordCA94305 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett FieldCA94035 United States Mortality Research & Consulting Inc. HoustonTX77058 United States Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States UC Space Health Department of Orthopaedic Surgery University of California San Francisco San FranciscoCA94143 United States Center for Health AI Department of Biochemistry and Molecular Genetics University of Colorado School of Medicine Anschutz Medical Campus AuroraCO80045 United States Hasso Plattner Institute for Digital Health at Mount Sinai Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New YorkNY10065 United States Department of Preventive Medicine and Community Health UTMB GalvestonTX77551 United States Human Health and Performance Directorate NASA Johnson Space Center HoustonTX77058 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Data Scienc

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses;analyze and predict personalized adverse health outcomes;adapt and respond to newly accumulated data;and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space. © 2021, CC BY.

关键词： Earth (planet)

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29P Long-term performance of residual cancer burden (RCB): Clinical pathological stage (CPS) and CPS+ER+Grade (CPS-EG) models in ER+HER2- breast cancer (BC) patients (pts) after neoadjuvant chemotherapy (NAC) - Role of Ki67 drop and extended endocrine therapy (EET)

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ESMO Open 2024年 9卷 103037-103037页

作者： L. Sanz Gomez E. Zamora Adelantado L. Joval E. Monescillo C. Ortiz C.F.P. Trabulo B. Rojas Garcia J. Pascual D.A. Gomez Puerto S.A. Bueno Salazar J. Rivero I. Miranda Gómez L. Rodriguez Ariza P. Gomez Pardo M. Espinosa-Bravo C. Saura Manich G. Villacampa Javierre V. Peg Cámara R. Dienstmann M. Bellet Ezquerra Breast Cancer Unit - Medical Oncology Dept. VHIO - Vall d’Hebron Institute of Oncology Barcelona Spain Medical Oncology Vall d’Hebron University Hospital Barcelona Spain OddiSey VHIO Vall d’Hebron Institute of Oncology Barcelona Spain Departamento Oncologia Medica Hospital Nossa Senhora do Rosário (Centro Hospitalar Barreiro Montijo EPE) Barreiro Portugal HM Sanchinarro Hospital Madrid Norte San Chinarro - Centro Integral Oncologico Clara Campal Madrid Madrid Spain Breast Unit HUVV - Hospital Universitario Virgen de la Victoria Malaga Spain Medical Oncology Department Vall d’Hebron Institute of Oncology (VHIO)-Cellex Center Barcelona Spain Oncology Vall d’Hebron University Hospital Barcelona Spain Breast Cancer Unit Vall d’Hebron University Hospital Barcelona Spain Radiology Department IBCC - International Breast Cancer Center Pare Claret Atenció Primaria i a la Comunitat de Barcelona Ciutat Barcelona Spain Pathology Vall d’Hebron University Hospital Barcelona Spain Medical Oncology Dept. Vall d’Hebron Institute of Oncology - Cellex Center Barcelona Spain Breast Surgical Unit Vall d’Hebron University Hospital Barcelona Spain Breast Cancer Program Vall d’Hebron University Hospital Vall d’Hebron Institute of Oncology (VHIO) and SOLTI Breast Cancer Research Group Barcelona Spain Scientific Department SOLTI Cancer Research Group Barcelona Spain Pathology Department Vall d’Hebron University Hospital Barcelona Spain Oncology Data Science Department Grupo Oncoclinicas São Paulo Brazil Oncology Dept. Vall d’Hebron Institute of Oncology - Cellex Center Barcelona Spain

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Corrigendum to 'Molecular characterisation of hepatocellular carcinoma in patients with non-alcoholic steatohepatitis' [J Hepatol 75 (2021) 865-878]

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Journal of hepatology 2021年第6期75卷 1515页

作者： Roser Pinyol Sara Torrecilla Huan Wang Carla Montironi Marta Piqué-Gili Miguel Torres-Martin Leow Wei-Qiang Catherine E Willoughby Pierluigi Ramadori Carmen Andreu-Oller Patricia Taik Youngmin A Lee Agrin Moeini Judit Peix Suzanne Faure-Dupuy Tobias Riedl Svenja Schuehle Claudia P Oliveira Venancio A Alves Paolo Boffetta Anja Lachenmayer Stephanie Roessler Beatriz Minguez Peter Schirmacher Jean-François Dufour Swan N Thung Helen L Reeves Flair J Carrilho Charissa Chang Andrew V Uzilov Mathias Heikenwalder Arun Sanyal Scott L Friedman Daniela Sia Josep M Llovet Liver Cancer Translational Research Laboratory Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Hospital Clínic Universitat de Barcelona Barcelona Catalonia Spain. Sema4 Stamford Connecticut USA. Liver Cancer Translational Research Laboratory Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Hospital Clínic Universitat de Barcelona Barcelona Catalonia Spain Mount Sinai Liver Cancer Program (Divisions of Liver Diseases Department of Hematology/Oncology Department of Medicine Department of Pathology) Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York USA. Mount Sinai Liver Cancer Program (Divisions of Liver Diseases Department of Hematology/Oncology Department of Medicine Department of Pathology) Tisch Cancer Institute Icahn School of Medicine at Mount Sinai New York USA Department of Anatomical Pathology Singapore General Hospital Singapore Singapore. Division of Chronic Inflammation and Cancer German Cancer Research Center Heidelberg (DKFZ) Heidelberg Germany. Department of Surgical Sciences Vanderbilt University Medical Center Nashville Tennessee USA. Departments of Gastroenterology and Pathology University of São Paulo - School of Medicine São Paulo Brazil. Department of Medical and Surgical Sciences University of Bologna Italy. Department of Visceral Surgery and Medicine Bern University Hospital University of Bern CH-3010 Bern Switzerland. Institute of Pathology University Hospital Heidelberg Germany. Liver Unit Vall d´Hebron Hospital Universitari Liver Diseases Research Group Vall d´Hebron Institut of Research (VHIR) Vall d´Hebron Hospital Campus. CIBERehd Universitat Autonoma de Barcelona Barcelona Catalonia Spain. Newcastle University Translational and Clinical Research Institute and Newcastle University Centre for Cancer Medical School Framlington Place Newcastle Upon Tyne NE2 4HH UK Hepatopancreatobiliary Multidisciplinary Team Newcastle upon Tyne NHS Foundation Trust Freeman Hospital

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LBA2 SKYSCRAPER-06: Efficacy and safety of tiragolumab plus atezolizumab plus chemotherapy (tira + atezo + chemo) vs pembrolizumab plus chemotherapy (pembro + chemo) in patients (pts) with advanced non-squamous non-small cell lung cancer (NSq NSCLC)

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Immuno-Oncology and Technology 2024年 24卷 101025-101025页

作者： Socinski, M.A. Rodriguez Abreu, D. Lee, D.H. Cappuzzo, F. Nishio, M. Lovly, C.M. Ozyilkan, O. Li, Q. Johnson, M.L. Garon, E.B. Kilickap, S. Ferreira da Silva, F.A. Alatorre-Alexander, J. Meng, R.D. Rooney, I. Troutman, S. Wen, X. Patil, N.S. Zou, W. Stahel, R.A. Thoracic Oncology Program Advent Health Cancer Institute Orlando FL USA Department of Medical Oncology Hospital Universitario Insular de Gran Canaria Universidad de Las Palmas de Gran Canaria Las Palmas de Gran Canaria Spain Department of Oncology University of Ulsan College of Medicine Asan Medical Center Seoul Republic of Korea Department of Medical Oncology IRCCS Regina Elena National Cancer Institute Rome Italy Department of Thoracic Medical Oncology The Cancer Institute Hospital Japanese Foundation for Cancer Research Tokyo Japan Department of Medicine - Division of Hematology and Oncology Vanderbilt University Medical Center Nashville TN USA Department of Medical Oncology Baskent University Hospital Adana Turkey Department of Medical Oncology Affiliated Hospital of Chengde Medical College Chengde China Department of Medical Oncology Sarah Cannon Research Institute Nashville TN USA Department of Medicine David Geffen School of Medicine at UCLA/TRIO-US Network Los Angeles CA USA Department of Medical Oncology İstinye University Faculty of Medicine Istanbul Turkey Department of Medical Oncology Barretos Cancer Hospital Barretos Brazil Clínica De Oncología Torácica Health Pharma Professional Research Mexico City Mexico Product Development Oncology Genentech Inc. South San Francisco CA USA Product Development Safety Genentech Inc. South San Francisco CA USA Translational Medicine Genentech Inc. South San Francisco CA USA Pd Data Science Genentech Inc. South San Francisco CA USA ETOP IBCSG Partners Foundation Bern Switzerland

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Publisher Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

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Nature genetics 2023年第1期55卷 166页

作者： Huipeng Li Elise T Courtois Debarka Sengupta Yuliana Tan Kok Hao Chen Jolene Jie Lin Goh Say Li Kong Clarinda Chua Lim Kiat Hon Wah Siew Tan Mark Wong Paul Jongjoon Choi Lawrence J K Wee Axel M Hillmer Iain Beehuat Tan Paul Robson Shyam Prabhakar Computational and Systems Biology Genome Institute of Singapore Singapore Singapore. Developmental Cellomics Laboratory Genome Institute of Singapore Singapore Singapore. Department of Computer Science and Engineering and Center for Computational Biology Indraprastha Institute of Information Technology Delhi India. Synthetic Biology Genome Institute of Singapore Singapore Singapore. Cancer Therapeutics and Stratified Oncology Genome Institute of Singapore Singapore Singapore. Department of Medical Oncology National Cancer Centre Singapore Singapore Singapore. Department of Pathology Singapore General Hospital Singapore Singapore. Department of Colorectal Surgery Singapore General Hospital Singapore Singapore. Data Analytics Department Institute for Infocomm Research Singapore Singapore. Cancer Therapeutics and Stratified Oncology Genome Institute of Singapore Singapore Singapore. iain.tan.b.h@singhealth.com.sg. Department of Medical Oncology National Cancer Centre Singapore Singapore Singapore. iain.tan.b.h@singhealth.com.sg. Program in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore Singapore. iain.tan.b.h@singhealth.com.sg. Developmental Cellomics Laboratory Genome Institute of Singapore Singapore Singapore. paul.robson@***. The Jackson Laboratory for Genomic Medicine Farmington Connecticut USA. paul.robson@***. Department of Genetics and Genome Sciences Institute for Systems Genomics University of Connecticut Farmington Connecticut USA. paul.robson@***. Department of Biological Sciences National University of Singapore Singapore Singapore. paul.robson@***. Computational and Systems Biology Genome Institute of Singapore Singapore Singapore. prabhakars@gis.a-star.edu.sg.

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63P Ki67 values and MammaPrint (MP) genomic risk in early breast cancer: Correlation by ductal vs lobular histology

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ESMO Open 2023年第1期8卷 101287-101287页

作者： E. Zamora L. Sanz Gomez L. Joval C. Ortiz Velez M.A. Arumi de Dios M. Borrell Puy D.A. Gomez Puerto I.I.L. Leao M.A. Rezqallah Aron V. Navarro Garces G. Villacampa C. Saura Manich P. Gomez Pardo V. Peg Cámara M. Bellet-Ezquerra Medical Oncology Vall d'Hebron University Hospital Barcelona Spain Medical Oncology Dept. Hospital Universitario Vall d'Hebron Barcelona Spain Oncology Data Science Group (ODysSey) VHIO Vall d'Hebrón Institute of Oncology Barcelona Spain Breast Cancer and Melanoma Dept. Vall d'Hebron University Hospital Barcelona Spain Oncology Department Universitat de Barcelona - Facultat de Medicina Barcelona Spain Dept. Medical Oncology Hospital Universitario Vall d'Hebron Barcelona Spain Medical Oncology Department Vall d'Hebron Institute of Oncology (VHIO)-Cellex Center Barcelona Spain Medical Oncology Department CHVNG/E - Centro Hospitalar de Vila Nova de Gaia/Espinho - Unidade 1 - EPE-SNS Vila Nova De Gaia Portugal Oncología Médica Dept. Vall d'Hebron University Hospital Barcelona Spain Oncology Data Science Group (ODysSey) Vall d'Hebron Institute of Oncology (VHIO)-Cellex Center Barcelona Spain Statistics Department SOLTI - Grupo Espanol de Estudio Barcelona Spain Head Breast Cancer Program Vall d'Hebron University Hospital Barcelona Spain Medical Oncology Dept. Vall d'Hebron Institute of Oncology (VHIO)-Cellex Center Barcelona Spain Dept. of Pathology Vall d'Hebron University Hospital Barcelona Spain Oncology Dept. Vall d'Hebron Institute of Oncology (VHIO)-Cellex Center Barcelona Spain

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Author Correction: High p16 expression and heterozygous RB1 loss are biomarkers for CDK4/6 inhibitor resistance in ER+ breast cancer

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Nature Communications 2022年第1期13卷 1页

作者： Marta Palafox Laia Monserrat Andreu Òdena Mònica Sánchez-Guixé Olga Rodríguez Marta Guzmán Judit Grueso Violeta Serra Meritxell Bellet Mafalda Oliveira Marta Capelán Analía Azaro Cristina Saura Guillermo Villacampa Cristina Viaplana Rodrigo Dienstmann Abel Gonzalez-Perez Nuria Lopez-Bigas Fara Brasó-Maristany Aleix Prat Nusaibah Ibrahimi Stefan Michiels Srinivasaraghavan Kannan Chandra S. Verma Leonardo Mina Alicia García-Sanz Maria Teresa Herrera-Abreu Nicholas C. Turner Alejandra Bruna Javier Hernández Faye Su Kui Lin Robert B. Clarke Carlos Caldas Joaquín Arribas Paolo Nuciforo Maurizio Scaltriti Monica Arnedos Experimental Therapeutics Group Vall d’Hebron Institute of Oncology Barcelona Spain CIBERONC Vall d’Hebron Institute of Oncology Barcelona Spain Breast Cancer and Melanoma Group Vall d’Hebron Institute of Oncology Barcelona Spain Department of Medical Oncology Hospital Vall d’Hebron Barcelona Spain Oncology Data Science Group Vall d’Hebron Institute of Oncology Barcelona Spain Institute for Research in Biomedicine (IRB Barcelona) Barcelona Spain Research Program on Biomedical Informatics Universitat Pompeu Fabra Barcelona Spain Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain Translational Genomics and Targeted Therapies in Solid Tumors August Pi i Sunyer Biomedical Research Institute (IDIBAPS) Barcelona Spain University of Barcelona Barcelona Spain Department of Medical Oncology Hospital Clinic Barcelona Spain SOLTI Breast Cancer Research Group Barcelona Spain Department of Oncology IOB Institute of Oncology Barcelona Spain Service de Biostatistique et d’Epidémiologie Gustave Roussy Villejuif France Oncostat U1018 Inserm University Paris-Saclay Villejuif France Bioinformatics Institute (A*STAR) Singapore Singapore School of Biological Sciences Nanyang Technological University Singapore Singapore Department of Biological Sciences National University of Singapore Singapore Singapore Medica Scientia Innovation Research (MedSIR) Barcelona Spain The Breast Cancer Now Research Centre London UK Preclinical Modelling of Pediatric Cancer Evolution Group The Institute of Cancer Research London UK Translational Molecular Pathology Vall d’Hebron Institute of Research (VHIR) Barcelona Spain Novartis Pharmaceuticals East Hanover NJ USA Genentech Inc. South San Francisco California USA Breast Biology Group Manchester Breast Centre Manchester UK Cancer Research UK Cambridge UK Growth Factors Laboratory Vall d’Hebron Institute of Oncology Barcelona Spain Department of Biochemistry and Molecular Biology Universitat Autònoma de Bar

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