Role of Immune Microenvironmental Factors for Improving the IPI-related Risk Stratification of Aggressive B Cell Lymphoma

• Published in: Biomedical and environmental sciences Vol. 30; no. 7; pp. 492 - 500
• Main Authors: GONG, Yi, CHEN, Rui, ZHANG, Xi, ZOU, Zhong Min, CHEN, Xing Hua
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.07.2017; Department of Hematology-oncology, Chongqing Cancer Institute/Hospital, Chongqing 400030, China%Department of Pathology, Chongqing Cancer Institute/Hospital, Chongqing 400030, China%Department of Hematology, Xinqiao Hospital, The Third Military Medical University, Chongqing 400037, China%Institute of Toxicology, School of Preventive Medicine, The Third Military Medical University, Chongqing 400038, China; Department of Hematology, Xinqiao Hospital, The Third Military Medical University, Chongqing 400037, China
• Subjects: Adult; Aggressive B cell lymphoma; Biomarkers, Tumor; B细胞淋巴瘤; Gene Expression Regulation, Neoplastic - immunology; Humans; IPI; logistic回归分析; Lymphoma, B-Cell - classification; Lymphoma, B-Cell - pathology; PD-1; PD-L1; Prognosis; Retrospective Studies; Risk stratification; Survival Analysis; Tumor microenvironment; Tumor-infiltrating lymphocytes; 侵袭性; 免疫; 危险; 环境因素; 血清乳酸脱氢酶; Aggressive B cell lymphoma; IPI; Tumor microenvironment; Tumor-infiltrating lymphocytes; Risk stratification; PD-L1; PD-1
• ISSN: 0895-3988; 2214-0190
• DOI: 10.3967/bes2017.065

Objective To investigate the risk stratification of aggressive B cell lymphoma using the immune microenvironment and clinical factors. Methods A total of 127 patients with aggressive B cell lymphoma between 2014 and 2015 were enrolled in this study. CD4, Foxp3, CDS, CD68, CD163, PD-1, and PD-L1 expression levels were evaluated in paraffin-embedded lymphoma tissues to identify their roles in the risk stratification. Eleven factors were identified for further evaluation using analysis of variance, chi-square, and multinomial logistic regression analysis. Results Significant differences in 11 factors （age, Ann Arbor stage, B symptom, ECOG performance status, infiltrating CD8＋ T cells, PD-L1 expression, absolute blood monocyte count, serum lactate dehydrogenase, serum iron, serum albumin, and serum l~2-microglobulin） were observed among patient groups stratified by at least two risk stratification methods [International Prognostic Index （IPI）, revised IPI, and NCCN-IPI models] （P 〈 0.05）. Concordance rates were high （81.4%-100.0%） when these factors were used for the risk stratification. No difference in the risk stratification results was observed with or without the Ann Arbor stage data. Conclusion We developed a convenient and inexpensive tool for use in risk stratification of aggressive B cell lymphomas, although further studies on the role of immune microenvironmental factors are needed.