Biobanks bridge the gap between basic and translational research.Traditional cancer biobanks typically contain normal and tumor tissues,and matched blood.However,biospecimens in traditional biobanks are usually nonren...Biobanks bridge the gap between basic and translational research.Traditional cancer biobanks typically contain normal and tumor tissues,and matched blood.However,biospecimens in traditional biobanks are usually nonrenewable.In recent years,increased interest has focused on establishing living biobanks,including organoid biobanks,for the collection and storage of viable and functional tissues for long periods of time.The organoid model is based on a 3D in vitro cell culture system,is highly similar to primary tissues and organs in vivo,and can recapitulate the phenotypic and genetic characteristics of target organs.Publications on cancer organoids have recently increased,and many types of cancer organoids have been used for modeling cancer processes,as well as for drug discovery and screening.On the basis of the current research status,more exploration of cancer organoids through technical advancements is required to improve reproducibility and scalability.Moreover,given the natural characteristics of organoids,greater attention must be paid to ethical considerations.Here,we summarize recent advances in cancer organoid biobanking research,encompassing rectal,gastric,pancreatic,breast,and glioblastoma cancers.Living cancer biobanks that contain cancerous tissues and matched organoids with different genetic backgrounds,subtypes,and individualized characteristics will eventually contribute to the understanding of cancer and ultimately facilitate the development of innovative treatments.展开更多
Digital Pathology is becoming more and more important to achieve the goal of precision medicine.Advances in whole-slide imaging,software integration,and the accessibility of storage solutions have changed the patholog...Digital Pathology is becoming more and more important to achieve the goal of precision medicine.Advances in whole-slide imaging,software integration,and the accessibility of storage solutions have changed the pathologists’clinical practice,not only in terms of laboratory workflow but also for diagnosis and biomarkers analysis.In parallel with the pathology setting advancement,translational medicine is approaching the unprecedented opportunities unrevealed by artificial intelligence(AI).Indeed,the increased usage of biobanks’datasets in research provided new challenges for AI applications,such as advanced algorithms,and computer-aided techniques.In this scenario,machine learning-based approaches are being propose in order to improve biobanks from biospecimens collection repositories to computational datasets.To date,evidence on how to implement digital biobanks in translational medicine is still lacking.This viewpoint article summarizes the currently available literature that supports the biobanks’role in the digital pathology era,and to provide possible practical applications of digital biobanks.展开更多
The coronavirus disease 2019(COVID-19)pandemic has highlighted the practice of infectious diseases biobanking,as well as existing challenges and opportunities.Thus,the future of infectious diseases biobanking in the p...The coronavirus disease 2019(COVID-19)pandemic has highlighted the practice of infectious diseases biobanking,as well as existing challenges and opportunities.Thus,the future of infectious diseases biobanking in the post-pandemic era,shall not be an“entry-level version”of its counterpart in non-communicable diseases and large population cohorts,but incorporate the lessons learned.Biobanks constitute a critical research infrastructure supported by harmonized practices through the implementation of international standards,and perceived within the broader scope of healthcare's intersection with research.This perspective paper considers the barriers in biobanking and standardization of practices,as well as the emerging opportunities in the field.展开更多
The journey to implement cancer genomic medicine(CGM)in oncology practice began in the 1980s,which is considered the dawn of genetic and genomic cancer research.At the time,a variety of activating oncogenic alteration...The journey to implement cancer genomic medicine(CGM)in oncology practice began in the 1980s,which is considered the dawn of genetic and genomic cancer research.At the time,a variety of activating oncogenic alterations and their functional significance were unveiled in cancer cells,which led to the development of molecular targeted therapies in the 2000s and beyond.Although CGM is still a relatively new discipline and it is difficult to predict to what extent CGM will benefit the diverse pool of cancer patients,the National Cancer Center(NCC)of Japan has already contributed considerably to CGM advancement for the conquest of cancer.Looking back at these past achievements of the NCC,we predict that the future of CGM will involve the following:1)A biobank of paired cancerous and non-cancerous tissues and cells from various cancer types and stages will be developed.The quantity and quality of these samples will be compatible with omics analyses.All biobank samples will be linked to longitudinal clinical information.2)New technologies,such as whole-genome sequencing and artificial intelligence,will be introduced and new bioresources for functional and pharmacologic analyses(e.g.,a patient-derived xenograft library)will be systematically deployed.3)Fast and bidirectional translational research(bench-to-bedside and bedside-to-bench)performed by basic researchers and clinical investigators,preferably working alongside each other at the same institution,will be implemented;4)Close collaborations between academia,industry,regulatory bodies,and funding agencies will be established.5)There will be an investment in the other branch of CGM,personalized preventive medicine,based on the individual's genetic predisposition to cancer.展开更多
微粒体谷胱甘肽S-转移酶1(microsomal glutathione S-transferase 1,MGST1)是谷胱甘肽S-转移酶(glutathione S-transferase,GST)超家族和花生四烯酸与谷胱甘肽代谢中的膜相关蛋白(membrane-associated proteins in eicosanoid and gluta...微粒体谷胱甘肽S-转移酶1(microsomal glutathione S-transferase 1,MGST1)是谷胱甘肽S-转移酶(glutathione S-transferase,GST)超家族和花生四烯酸与谷胱甘肽代谢中的膜相关蛋白(membrane-associated proteins in eicosanoid and glutathione metabolism,MAPEG)超家族的共同成员,它通过催化外源性物质的II相解毒过程,从而保护细胞膜免受氧化应激的损伤。众多研究发现MGST1与恶性肿瘤的发生发展密切相关,有望成为癌症治疗的新型分子靶点。本文就MGST1在恶性肿瘤中的研究进展予以综述。展开更多
基金supported by the Program for Changjiang Scholars and Innovative Research Team in University in China(Grant No.IRT_14R40)National Key Research and Development Program of China(Grant No.2021YFC2500400)+4 种基金National Science and Technology Major Project(Grant No.2017ZX10203207)National Human Genetic Resources Sharing Service Platform(Grant No.2005DKA21300)National Key Research and Development Program of ChinaNet Construction of Human Genetic Resource Bio-bank in North China(Grant No.2016YFC1201703)and National Key R&D Program of China(Grant No.2017YFC0908300).
文摘Biobanks bridge the gap between basic and translational research.Traditional cancer biobanks typically contain normal and tumor tissues,and matched blood.However,biospecimens in traditional biobanks are usually nonrenewable.In recent years,increased interest has focused on establishing living biobanks,including organoid biobanks,for the collection and storage of viable and functional tissues for long periods of time.The organoid model is based on a 3D in vitro cell culture system,is highly similar to primary tissues and organs in vivo,and can recapitulate the phenotypic and genetic characteristics of target organs.Publications on cancer organoids have recently increased,and many types of cancer organoids have been used for modeling cancer processes,as well as for drug discovery and screening.On the basis of the current research status,more exploration of cancer organoids through technical advancements is required to improve reproducibility and scalability.Moreover,given the natural characteristics of organoids,greater attention must be paid to ethical considerations.Here,we summarize recent advances in cancer organoid biobanking research,encompassing rectal,gastric,pancreatic,breast,and glioblastoma cancers.Living cancer biobanks that contain cancerous tissues and matched organoids with different genetic backgrounds,subtypes,and individualized characteristics will eventually contribute to the understanding of cancer and ultimately facilitate the development of innovative treatments.
文摘Digital Pathology is becoming more and more important to achieve the goal of precision medicine.Advances in whole-slide imaging,software integration,and the accessibility of storage solutions have changed the pathologists’clinical practice,not only in terms of laboratory workflow but also for diagnosis and biomarkers analysis.In parallel with the pathology setting advancement,translational medicine is approaching the unprecedented opportunities unrevealed by artificial intelligence(AI).Indeed,the increased usage of biobanks’datasets in research provided new challenges for AI applications,such as advanced algorithms,and computer-aided techniques.In this scenario,machine learning-based approaches are being propose in order to improve biobanks from biospecimens collection repositories to computational datasets.To date,evidence on how to implement digital biobanks in translational medicine is still lacking.This viewpoint article summarizes the currently available literature that supports the biobanks’role in the digital pathology era,and to provide possible practical applications of digital biobanks.
文摘The coronavirus disease 2019(COVID-19)pandemic has highlighted the practice of infectious diseases biobanking,as well as existing challenges and opportunities.Thus,the future of infectious diseases biobanking in the post-pandemic era,shall not be an“entry-level version”of its counterpart in non-communicable diseases and large population cohorts,but incorporate the lessons learned.Biobanks constitute a critical research infrastructure supported by harmonized practices through the implementation of international standards,and perceived within the broader scope of healthcare's intersection with research.This perspective paper considers the barriers in biobanking and standardization of practices,as well as the emerging opportunities in the field.
文摘The journey to implement cancer genomic medicine(CGM)in oncology practice began in the 1980s,which is considered the dawn of genetic and genomic cancer research.At the time,a variety of activating oncogenic alterations and their functional significance were unveiled in cancer cells,which led to the development of molecular targeted therapies in the 2000s and beyond.Although CGM is still a relatively new discipline and it is difficult to predict to what extent CGM will benefit the diverse pool of cancer patients,the National Cancer Center(NCC)of Japan has already contributed considerably to CGM advancement for the conquest of cancer.Looking back at these past achievements of the NCC,we predict that the future of CGM will involve the following:1)A biobank of paired cancerous and non-cancerous tissues and cells from various cancer types and stages will be developed.The quantity and quality of these samples will be compatible with omics analyses.All biobank samples will be linked to longitudinal clinical information.2)New technologies,such as whole-genome sequencing and artificial intelligence,will be introduced and new bioresources for functional and pharmacologic analyses(e.g.,a patient-derived xenograft library)will be systematically deployed.3)Fast and bidirectional translational research(bench-to-bedside and bedside-to-bench)performed by basic researchers and clinical investigators,preferably working alongside each other at the same institution,will be implemented;4)Close collaborations between academia,industry,regulatory bodies,and funding agencies will be established.5)There will be an investment in the other branch of CGM,personalized preventive medicine,based on the individual's genetic predisposition to cancer.
