{"title":"用于预测免疫疗法反应的免疫组化技术","authors":"Alexander Haragan","doi":"10.1016/j.mpdhp.2024.08.002","DOIUrl":null,"url":null,"abstract":"<div><div>For almost a decade predicting the response of malignant tumours to treatment with immunotherapies has been dependent on PD-L1 expression by immunohistochemistry. Much has been learned about the uniquely challenging application of PD-L1 immunohistochemistry which is utilized in a constantly expanding array of tumour types and clinical contexts. More recently, other predictive biomarkers have acquired clinical validation including tumour mismatch repair deficiency. In this short review, I will assess the strengths and weaknesses of PD-L1 immunohistochemistry, including pre-analytics, analytics and post-analytics in the context of the complex underlying biology. In doing so, I hope to provide some practical guidance that will help optimize its application in routine practice. I will also highlight the various contexts in which immunohistochemistry for PD-L1 and mis-match repair is used to predict response to immunotherapies and how ongoing developments of novel immunohistochemistry based biomarkers might assist in strengthening the ability to predict response to immunotherapies.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"30 11","pages":"Pages 604-612"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Immunohistochemistry for prediction of response to immunotherapy\",\"authors\":\"Alexander Haragan\",\"doi\":\"10.1016/j.mpdhp.2024.08.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>For almost a decade predicting the response of malignant tumours to treatment with immunotherapies has been dependent on PD-L1 expression by immunohistochemistry. Much has been learned about the uniquely challenging application of PD-L1 immunohistochemistry which is utilized in a constantly expanding array of tumour types and clinical contexts. More recently, other predictive biomarkers have acquired clinical validation including tumour mismatch repair deficiency. In this short review, I will assess the strengths and weaknesses of PD-L1 immunohistochemistry, including pre-analytics, analytics and post-analytics in the context of the complex underlying biology. In doing so, I hope to provide some practical guidance that will help optimize its application in routine practice. I will also highlight the various contexts in which immunohistochemistry for PD-L1 and mis-match repair is used to predict response to immunotherapies and how ongoing developments of novel immunohistochemistry based biomarkers might assist in strengthening the ability to predict response to immunotherapies.</div></div>\",\"PeriodicalId\":39961,\"journal\":{\"name\":\"Diagnostic Histopathology\",\"volume\":\"30 11\",\"pages\":\"Pages 604-612\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diagnostic Histopathology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1756231724001312\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostic Histopathology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1756231724001312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Immunohistochemistry for prediction of response to immunotherapy
For almost a decade predicting the response of malignant tumours to treatment with immunotherapies has been dependent on PD-L1 expression by immunohistochemistry. Much has been learned about the uniquely challenging application of PD-L1 immunohistochemistry which is utilized in a constantly expanding array of tumour types and clinical contexts. More recently, other predictive biomarkers have acquired clinical validation including tumour mismatch repair deficiency. In this short review, I will assess the strengths and weaknesses of PD-L1 immunohistochemistry, including pre-analytics, analytics and post-analytics in the context of the complex underlying biology. In doing so, I hope to provide some practical guidance that will help optimize its application in routine practice. I will also highlight the various contexts in which immunohistochemistry for PD-L1 and mis-match repair is used to predict response to immunotherapies and how ongoing developments of novel immunohistochemistry based biomarkers might assist in strengthening the ability to predict response to immunotherapies.
期刊介绍:
This monthly review journal aims to provide the practising diagnostic pathologist and trainee pathologist with up-to-date reviews on histopathology and cytology and related technical advances. Each issue contains invited articles on a variety of topics from experts in the field and includes a mini-symposium exploring one subject in greater depth. Articles consist of system-based, disease-based reviews and advances in technology. They update the readers on day-to-day diagnostic work and keep them informed of important new developments. An additional feature is the short section devoted to hypotheses; these have been refereed. There is also a correspondence section.