{"title":"Liquid-liquid phase separation-related gene can predict prognosis and influence immune microenvironment in acute myeloid leukemia.","authors":"Xiaoyue Ren, Lijie Zhang, Linli Zhou, Shuqi Zhao","doi":"10.1080/1750743X.2026.2743429","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Acute myeloid leukemia (AML) is a hematopoietic malignant tumor whose growth and metastasis have been found to be closely correlated with Liquid-liquid phase separation (LLPS); however, the molecular mechanisms underlying and the immunological value of LLPS in AML have not been reported.</p><p><strong>Methods: </strong>In this study, we aimed to develop a precise prognostic risk model based on LLPS-associated key genes in AML. We analyzed differentially expressed genes from AML versus control samples (GSE9476), intersected these with LLPS genes to identify differentially expressed LLPS-related genes, and used univariate Cox regression to find those linked to prognosis. Candidate genes were identified by overlapping prognostic differentially expressed LLPS-related genes with inter-subtype differentially expressed genes.</p><p><strong>Results: </strong>We used the least absolute selection and shrinkage operator to pinpoint three key genes-SLC4A1, SCRN1, and HOPX-for the prognostic risk model, which proved effective in assessing AML prognosis. A nomogram incorporating risk score, age, and AML risk category was developed showing promising potential for clinical utility. Immune analysis revealed variations in certain immune cells across risk groups. Drug sensitivity tests highlighted significant differences in the efficacy of several drugs among these groups.</p><p><strong>Conclusion: </strong>This model integrating the three key genes offers a novel insight into AML prognosis prediction.</p>","PeriodicalId":13328,"journal":{"name":"Immunotherapy","volume":" ","pages":"1-13"},"PeriodicalIF":2.3000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Immunotherapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/1750743X.2026.2743429","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: Acute myeloid leukemia (AML) is a hematopoietic malignant tumor whose growth and metastasis have been found to be closely correlated with Liquid-liquid phase separation (LLPS); however, the molecular mechanisms underlying and the immunological value of LLPS in AML have not been reported.
Methods: In this study, we aimed to develop a precise prognostic risk model based on LLPS-associated key genes in AML. We analyzed differentially expressed genes from AML versus control samples (GSE9476), intersected these with LLPS genes to identify differentially expressed LLPS-related genes, and used univariate Cox regression to find those linked to prognosis. Candidate genes were identified by overlapping prognostic differentially expressed LLPS-related genes with inter-subtype differentially expressed genes.
Results: We used the least absolute selection and shrinkage operator to pinpoint three key genes-SLC4A1, SCRN1, and HOPX-for the prognostic risk model, which proved effective in assessing AML prognosis. A nomogram incorporating risk score, age, and AML risk category was developed showing promising potential for clinical utility. Immune analysis revealed variations in certain immune cells across risk groups. Drug sensitivity tests highlighted significant differences in the efficacy of several drugs among these groups.
Conclusion: This model integrating the three key genes offers a novel insight into AML prognosis prediction.
期刊介绍:
Many aspects of the immune system and mechanisms of immunomodulatory therapies remain to be elucidated in order to exploit fully the emerging opportunities. Those involved in the research and clinical applications of immunotherapy are challenged by the huge and intricate volumes of knowledge arising from this fast-evolving field. The journal Immunotherapy offers the scientific community an interdisciplinary forum, providing them with information on the most recent advances of various aspects of immunotherapies, in a concise format to aid navigation of this complex field.
Immunotherapy delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for this vitally important area of research. Unsolicited article proposals are welcomed and authors are required to comply fully with the journal''s Disclosure & Conflict of Interest Policy as well as major publishing guidelines, including ICMJE and GPP3.