{"title":"AML的免疫靶点。","authors":"Jerome Ritz","doi":"10.1158/2643-3230.BCD-23-0161","DOIUrl":null,"url":null,"abstract":"<p><strong>Summary: </strong>In this issue of Blood Cancer Discovery, Nelde and colleagues used a sensitive mass spectrometry-based immunopeptidomics approach to characterize the antigenic landscape of acute myeloid leukemia (AML) and were able to identify immunogenic peptides presented by both leukemia stem cells (LSC) and bulk primary AML blasts. These immunogenic peptides elicit primarily CD4 T-cell responses and the diversity of the HLA class II immunopeptidome and presence of CD4 memory T-cell responses were both associated with improved clinical outcome. See related article by Nelde et al., p. 468 (1) .</p>","PeriodicalId":29944,"journal":{"name":"Blood Cancer Discovery","volume":" ","pages":"430-432"},"PeriodicalIF":11.5000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618716/pdf/","citationCount":"0","resultStr":"{\"title\":\"Immunologic Targets in AML.\",\"authors\":\"Jerome Ritz\",\"doi\":\"10.1158/2643-3230.BCD-23-0161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Summary: </strong>In this issue of Blood Cancer Discovery, Nelde and colleagues used a sensitive mass spectrometry-based immunopeptidomics approach to characterize the antigenic landscape of acute myeloid leukemia (AML) and were able to identify immunogenic peptides presented by both leukemia stem cells (LSC) and bulk primary AML blasts. These immunogenic peptides elicit primarily CD4 T-cell responses and the diversity of the HLA class II immunopeptidome and presence of CD4 memory T-cell responses were both associated with improved clinical outcome. See related article by Nelde et al., p. 468 (1) .</p>\",\"PeriodicalId\":29944,\"journal\":{\"name\":\"Blood Cancer Discovery\",\"volume\":\" \",\"pages\":\"430-432\"},\"PeriodicalIF\":11.5000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618716/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Cancer Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1158/2643-3230.BCD-23-0161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Cancer Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1158/2643-3230.BCD-23-0161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Summary: In this issue of Blood Cancer Discovery, Nelde and colleagues used a sensitive mass spectrometry-based immunopeptidomics approach to characterize the antigenic landscape of acute myeloid leukemia (AML) and were able to identify immunogenic peptides presented by both leukemia stem cells (LSC) and bulk primary AML blasts. These immunogenic peptides elicit primarily CD4 T-cell responses and the diversity of the HLA class II immunopeptidome and presence of CD4 memory T-cell responses were both associated with improved clinical outcome. See related article by Nelde et al., p. 468 (1) .
期刊介绍:
The journal Blood Cancer Discovery publishes high-quality Research Articles and Briefs that focus on major advances in basic, translational, and clinical research of leukemia, lymphoma, myeloma, and associated diseases. The topics covered include molecular and cellular features of pathogenesis, therapy response and relapse, transcriptional circuits, stem cells, differentiation, microenvironment, metabolism, immunity, mutagenesis, and clonal evolution. These subjects are investigated in both animal disease models and high-dimensional clinical data landscapes.
The journal also welcomes submissions on new pharmacological, biological, and living cell therapies, as well as new diagnostic tools. They are interested in prognostic, diagnostic, and pharmacodynamic biomarkers, and computational and machine learning approaches to personalized medicine. The scope of submissions ranges from preclinical proof of concept to clinical trials and real-world evidence.
Blood Cancer Discovery serves as a forum for diverse ideas that shape future research directions in hematooncology. In addition to Research Articles and Briefs, the journal also publishes Reviews, Perspectives, and Commentaries on topics of broad interest in the field.