Qiaolin Zhou, Fang Xu, Jingjing Wen, Jing Yue, Ya Zhang, Lijun Du, Kun Kou, Jing Su, Yiping Liu, Xiaogong Liang
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Functional high risk (FHR) was evaluated based on this criterion.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>For the overall cohort, the median progression-free survival (PFS) and overall survival (OS) were not reached, but in the ER18 cohort, median OS was 24.8 months and median PFS was 10.8 months. Key factors linked to early relapse included elevated serum creatinine levels (> 156 μmol/L), presence of extramedullary disease, and lower percentage of Tregs at diagnosis. Multivariate analysis revealed that extramedullary disease and lower percentage of Tregs were significant predictors of early relapse. Factors such as age, elevated creatinine, extramedullary disease, and lower percentage of Tregs were associated with poorer PFS. Further analysis confirmed that extramedullary lesions, elevated creatinine, and lower percentage of Tregs significantly influenced PFS.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Overall, Tregs at diagnosis were found to be important for predicting early relapse and progression-free survival, highlighting their potential as a biomarker for functional high risk in multiple myeloma.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 11","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.70980","citationCount":"0","resultStr":"{\"title\":\"Tregs at Diagnosis as a Potential Biomarker for Predicting High-Risk Functionality in Newly Diagnosed Multiple Myeloma\",\"authors\":\"Qiaolin Zhou, Fang Xu, Jingjing Wen, Jing Yue, Ya Zhang, Lijun Du, Kun Kou, Jing Su, Yiping Liu, Xiaogong Liang\",\"doi\":\"10.1002/cam4.70980\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>This study investigated the role of regulatory T cells (Tregs) in newly diagnosed multiple myeloma (NDMM) patients, particularly in relation to early relapse and prognosis.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The analysis included clinical data from 70 NDMM patients, with Tregs measured at diagnosis. 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Tregs at Diagnosis as a Potential Biomarker for Predicting High-Risk Functionality in Newly Diagnosed Multiple Myeloma
Objective
This study investigated the role of regulatory T cells (Tregs) in newly diagnosed multiple myeloma (NDMM) patients, particularly in relation to early relapse and prognosis.
Methods
The analysis included clinical data from 70 NDMM patients, with Tregs measured at diagnosis. Early relapse was defined as relapse within 18 months (ER18), and posttransplant survival extending beyond 12 months. Functional high risk (FHR) was evaluated based on this criterion.
Results
For the overall cohort, the median progression-free survival (PFS) and overall survival (OS) were not reached, but in the ER18 cohort, median OS was 24.8 months and median PFS was 10.8 months. Key factors linked to early relapse included elevated serum creatinine levels (> 156 μmol/L), presence of extramedullary disease, and lower percentage of Tregs at diagnosis. Multivariate analysis revealed that extramedullary disease and lower percentage of Tregs were significant predictors of early relapse. Factors such as age, elevated creatinine, extramedullary disease, and lower percentage of Tregs were associated with poorer PFS. Further analysis confirmed that extramedullary lesions, elevated creatinine, and lower percentage of Tregs significantly influenced PFS.
Conclusion
Overall, Tregs at diagnosis were found to be important for predicting early relapse and progression-free survival, highlighting their potential as a biomarker for functional high risk in multiple myeloma.
期刊介绍:
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.