Ghada Nouairia , Martin Cornillet , Hannes Jansson , Annika Bergquist , Ernesto Sparrelid
{"title":"血浆蛋白质组学分析用于疑似胆囊癌的精准医疗策略:一项初步研究","authors":"Ghada Nouairia , Martin Cornillet , Hannes Jansson , Annika Bergquist , Ernesto Sparrelid","doi":"10.1016/j.jhepr.2025.101365","DOIUrl":null,"url":null,"abstract":"<div><h3>Background & Aims</h3><div>Currently, preoperative diagnostic methods that can distinguish cancer from benign disease of the gallbladder are insufficient, and several surgical resections can be avoided if the pathology is known prior to surgery. This study aimed to assess whether preoperative plasma proteins can distinguish gallbladder cancer (GBC) from cholecystitis, with the main goal of identifying proteins for multivariate description of the postoperative diagnosis, before surgery.</div></div><div><h3>Methods</h3><div>Samples from 82 individuals with suspected GBC who underwent bisegmentectomy and lymphadenectomy at Karolinska University Hospital between 2009 and 2020 were included in this retrospective, observational, single-center study. Preoperative plasma samples were analyzed using a 7,500 proteomics panel from SomaScan®. High-dimensional statistical methods including machine learning regularization, were used to analyze the data.</div></div><div><h3>Results</h3><div>In our study, we identified and characterized a panel of 651 proteins that exhibited differential expression between GBC and cholecystitis. Through multivariate analysis, we demonstrated that circulating proteomics data provide valuable insights for diagnosing GBC before surgical intervention. Notably, we identified a subset of eight plasma proteins (PAHX, CD8A, HRG, CRIS2, Dynactin subunit 2, AT2A3, CSTN2, and DEPP) that effectively differentiated GBC from cholecystitis with a diagnostic accuracy of 94% when validated on a test set. These findings hold potential for clinical validation and could significantly aid in preoperative decision-making when GBC is suspected.</div></div><div><h3>Conclusions</h3><div>Our findings demonstrate that the preoperative assessment of plasma proteins can accurately differentiate cholecystitis from malignancy, supporting the potential development of a noninvasive test to assist preoperative decision-making when GBC is suspected.</div></div><div><h3>Impact and implications</h3><div>This study highlights the potential of plasma proteomic profiling to significantly improve the preoperative diagnostic accuracy of gallbladder cancer <em>vs.</em> cholecystitis. Using machine learning models, we identified biologically relevant plasma proteins associated with the diagnosis of gall bladder cancer. A noninvasive preoperative test based on selected plasma proteins could potentially enhance clinical decision-making, reduce unnecessary surgeries, and mitigate the associated risks for patients with suspected GBC, marking a step forward in precision medicine.</div></div>","PeriodicalId":14764,"journal":{"name":"JHEP Reports","volume":"7 6","pages":"Article 101365"},"PeriodicalIF":9.5000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards precision medicine strategies using plasma proteomic profiling for suspected gallbladder cancer: A pilot study\",\"authors\":\"Ghada Nouairia , Martin Cornillet , Hannes Jansson , Annika Bergquist , Ernesto Sparrelid\",\"doi\":\"10.1016/j.jhepr.2025.101365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background & Aims</h3><div>Currently, preoperative diagnostic methods that can distinguish cancer from benign disease of the gallbladder are insufficient, and several surgical resections can be avoided if the pathology is known prior to surgery. This study aimed to assess whether preoperative plasma proteins can distinguish gallbladder cancer (GBC) from cholecystitis, with the main goal of identifying proteins for multivariate description of the postoperative diagnosis, before surgery.</div></div><div><h3>Methods</h3><div>Samples from 82 individuals with suspected GBC who underwent bisegmentectomy and lymphadenectomy at Karolinska University Hospital between 2009 and 2020 were included in this retrospective, observational, single-center study. Preoperative plasma samples were analyzed using a 7,500 proteomics panel from SomaScan®. High-dimensional statistical methods including machine learning regularization, were used to analyze the data.</div></div><div><h3>Results</h3><div>In our study, we identified and characterized a panel of 651 proteins that exhibited differential expression between GBC and cholecystitis. Through multivariate analysis, we demonstrated that circulating proteomics data provide valuable insights for diagnosing GBC before surgical intervention. Notably, we identified a subset of eight plasma proteins (PAHX, CD8A, HRG, CRIS2, Dynactin subunit 2, AT2A3, CSTN2, and DEPP) that effectively differentiated GBC from cholecystitis with a diagnostic accuracy of 94% when validated on a test set. These findings hold potential for clinical validation and could significantly aid in preoperative decision-making when GBC is suspected.</div></div><div><h3>Conclusions</h3><div>Our findings demonstrate that the preoperative assessment of plasma proteins can accurately differentiate cholecystitis from malignancy, supporting the potential development of a noninvasive test to assist preoperative decision-making when GBC is suspected.</div></div><div><h3>Impact and implications</h3><div>This study highlights the potential of plasma proteomic profiling to significantly improve the preoperative diagnostic accuracy of gallbladder cancer <em>vs.</em> cholecystitis. Using machine learning models, we identified biologically relevant plasma proteins associated with the diagnosis of gall bladder cancer. A noninvasive preoperative test based on selected plasma proteins could potentially enhance clinical decision-making, reduce unnecessary surgeries, and mitigate the associated risks for patients with suspected GBC, marking a step forward in precision medicine.</div></div>\",\"PeriodicalId\":14764,\"journal\":{\"name\":\"JHEP Reports\",\"volume\":\"7 6\",\"pages\":\"Article 101365\"},\"PeriodicalIF\":9.5000,\"publicationDate\":\"2025-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JHEP Reports\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589555925000424\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JHEP Reports","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589555925000424","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
Towards precision medicine strategies using plasma proteomic profiling for suspected gallbladder cancer: A pilot study
Background & Aims
Currently, preoperative diagnostic methods that can distinguish cancer from benign disease of the gallbladder are insufficient, and several surgical resections can be avoided if the pathology is known prior to surgery. This study aimed to assess whether preoperative plasma proteins can distinguish gallbladder cancer (GBC) from cholecystitis, with the main goal of identifying proteins for multivariate description of the postoperative diagnosis, before surgery.
Methods
Samples from 82 individuals with suspected GBC who underwent bisegmentectomy and lymphadenectomy at Karolinska University Hospital between 2009 and 2020 were included in this retrospective, observational, single-center study. Preoperative plasma samples were analyzed using a 7,500 proteomics panel from SomaScan®. High-dimensional statistical methods including machine learning regularization, were used to analyze the data.
Results
In our study, we identified and characterized a panel of 651 proteins that exhibited differential expression between GBC and cholecystitis. Through multivariate analysis, we demonstrated that circulating proteomics data provide valuable insights for diagnosing GBC before surgical intervention. Notably, we identified a subset of eight plasma proteins (PAHX, CD8A, HRG, CRIS2, Dynactin subunit 2, AT2A3, CSTN2, and DEPP) that effectively differentiated GBC from cholecystitis with a diagnostic accuracy of 94% when validated on a test set. These findings hold potential for clinical validation and could significantly aid in preoperative decision-making when GBC is suspected.
Conclusions
Our findings demonstrate that the preoperative assessment of plasma proteins can accurately differentiate cholecystitis from malignancy, supporting the potential development of a noninvasive test to assist preoperative decision-making when GBC is suspected.
Impact and implications
This study highlights the potential of plasma proteomic profiling to significantly improve the preoperative diagnostic accuracy of gallbladder cancer vs. cholecystitis. Using machine learning models, we identified biologically relevant plasma proteins associated with the diagnosis of gall bladder cancer. A noninvasive preoperative test based on selected plasma proteins could potentially enhance clinical decision-making, reduce unnecessary surgeries, and mitigate the associated risks for patients with suspected GBC, marking a step forward in precision medicine.
期刊介绍:
JHEP Reports is an open access journal that is affiliated with the European Association for the Study of the Liver (EASL). It serves as a companion journal to the highly respected Journal of Hepatology.
The primary objective of JHEP Reports is to publish original papers and reviews that contribute to the advancement of knowledge in the field of liver diseases. The journal covers a wide range of topics, including basic, translational, and clinical research. It also focuses on global issues in hepatology, with particular emphasis on areas such as clinical trials, novel diagnostics, precision medicine and therapeutics, cancer research, cellular and molecular studies, artificial intelligence, microbiome research, epidemiology, and cutting-edge technologies.
In summary, JHEP Reports is dedicated to promoting scientific discoveries and innovations in liver diseases through the publication of high-quality research papers and reviews covering various aspects of hepatology.