Navneeta Bansal, Manoj Kumar, S N Sankhwar, Ashish Gupta
{"title":"Relevance of emerging metabolomics-based biomarkers of prostate cancer: a systematic review.","authors":"Navneeta Bansal, Manoj Kumar, S N Sankhwar, Ashish Gupta","doi":"10.1017/erm.2022.20","DOIUrl":null,"url":null,"abstract":"<p><p>Prostate cancer (PC) presents great challenges in early diagnosis and often leads to unnecessary invasive procedures as well as over diagnosis and treatment, thus highlighting the need for promising early diagnostic biomarkers. The aim of this review is to provide an up-to-date summary of chronologically existing metabolomics PC biomarkers, their potential to improve clinical PC diagnosis and to reduce the proliferation and monitoring of PC. The systematic research was conducted on PubMed in accordance with PRISMA guidelines to report PC biomarkers. The majority of the studies distinguished malignant from benign prostate and few explored the biomarkers associated with the progression of PC. The present review summarises the primary outcomes of most significant studies to extend our knowledge of PC metabolomics biomarkers. We observed divergent inter-laboratory technical procedures employing different statistical approaches produced abundant information regarding PC metabolites perturbation. Since PC metabolomics is still in its early phase, it is vital that we dig out the most specific, sensitive and accurate metabolic signatures and conduct more studies with milestone findings with comparable sample sizes to validate and corroborate the findings.</p>","PeriodicalId":50462,"journal":{"name":"Expert Reviews in Molecular Medicine","volume":" ","pages":"e25"},"PeriodicalIF":4.5000,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Reviews in Molecular Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/erm.2022.20","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 2
Abstract
Prostate cancer (PC) presents great challenges in early diagnosis and often leads to unnecessary invasive procedures as well as over diagnosis and treatment, thus highlighting the need for promising early diagnostic biomarkers. The aim of this review is to provide an up-to-date summary of chronologically existing metabolomics PC biomarkers, their potential to improve clinical PC diagnosis and to reduce the proliferation and monitoring of PC. The systematic research was conducted on PubMed in accordance with PRISMA guidelines to report PC biomarkers. The majority of the studies distinguished malignant from benign prostate and few explored the biomarkers associated with the progression of PC. The present review summarises the primary outcomes of most significant studies to extend our knowledge of PC metabolomics biomarkers. We observed divergent inter-laboratory technical procedures employing different statistical approaches produced abundant information regarding PC metabolites perturbation. Since PC metabolomics is still in its early phase, it is vital that we dig out the most specific, sensitive and accurate metabolic signatures and conduct more studies with milestone findings with comparable sample sizes to validate and corroborate the findings.
期刊介绍:
Expert Reviews in Molecular Medicine is an innovative online journal featuring authoritative and timely Reviews covering gene therapy, immunotherapeutics, drug design, vaccines, genetic testing, pathogenesis, microbiology, genomics, molecular epidemiology and diagnostic techniques. We especially welcome reviews on translational aspects of molecular medicine, particularly those related to the application of new understanding of the molecular basis of disease to experimental medicine and clinical practice.