4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      CD8+ γδ T cells correlate with favorable prognostic factors in childhood acute lymphoblastic leukemia

      letter

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Acute lymphoblastic leukemia (ALL) is the most common cancer in children, adolescents, and young adults and remains the leading cause of cancer related death among the pediatric group of patients [1]. Thus finding early predictive biomarkers is still important to detect children with poor outcomes, for whom quickly altered treatment plans are vital. Gamma-delta (γδ) T cells are a recent topic of growing interest in the field of prediction of a favorable outcome in numerous malignancies. Most of the studies have shown that the amount of γδ T cells infiltrating solid tumors is a strong biomarker of good prognosis for cancer patients [2, 3]. On the other hand, there are single reports demonstrating their pro-tumor role and strong correlation with advanced tumor stages, lymph node metastasis or poor outcome [4]. To our knowledge, no data have been reported to date on γδ T cell counts among pediatric patients with acute leukemia at diagnosis. Similarly, no evidence has been presented previously about lymphocytes and their correlation with already known risk factors in childhood ALL. Due to these facts, we decided to evaluate these associations to verify the potential use of selected subsets of γδ T cells (CD3+γδ , CD4+γδ, CD8+γδ) as a novel and early biomarker of childhood leukemia severity. This study was approved by the local research ethics committee. All samples were obtained under written informed consent. Nineteen patients (9 male and 10 female) aged 2 to 18 years were recruited to the study. Diagnosis of acute lymphoblastic B-cell leukemia was verified via cytological, cytochemical, and immunophenotyping methods. Blood samples were collected before induction following protocol IA according to ALL IC BFM 2009. In one of the patients BCR/ABL mutation was detected. At the end of the protocol, 13 of the patients were classified in the intermediate risk (IR) group, 5 in the high risk (HR) group, and 1 patient in the standard risk (SR) group. Data regarding hematological parameters were obtained from medical records. Due to the small group of patients, we could not analyze correlations between γδ T cells and cytogenetic, immunophenotypic, and central nervous system (CNS) status. The control group consisted of 19 healthy people, aged 2–18 years (11 male and 8 female). Children with active infection, acute/chronic diseases, receiving immunosuppressive therapy or with oncological history were excluded. Freshly obtained EDTA whole blood was stained using antibody cocktails as follows: TCRγδ FITC (clone, IMMU510)/TCRαβ PE (clone, IP26A)/CD4 APC (clone, 13B8.2)/CD8 AF700 (clone, B9.11)/CD3 Krome Orange (clone, UCHT1). Samples were then lysed with the Immunoprep Reagent Kit and TQPrep Workstation, measured with a Navios flow cytometer, and analyzed with Kaluza software (all from Beckman Coulter, USA). For proper gating fluorescence the minus one approach was used. First, lymphocytes were gated according to FSc/SSc, and then CD3+/CD4+ and CD3+/CD8+ T lymphocytes were identified. Finally, for both T CD4+ and T CD8+ lymphocytes, the percentage of TCRγδ+/TCRαβ– was noted. Statistical analysis was performed using IBM SPSS 25. Depending on the distribution of the variable, the nonparametric Mann-Whitney U test, Wilcoxon test, or parametric Student’s t-test was used to compare the differences between the normal control and leukemic patient group as well as differences among study groups. The correlation between γδ and prognostic factors was analyzed by correlation coefficients (Spearman’s, Pearson’s). A value of p < 0.05 indicated statistical significance. We evaluated the association of γδ T cells with a series of clinical and hematological agents. Interestingly, we observed differences in the percentage of CD8+ γδ depending on age in leukemic patients (R = –0.67, p < 0.00) (Figure 1), but not in healthy controls (p = 0.58). The same investigation showed no statistically significant differences in the percentages of CD3+ γδ and CD4+ γδ lymphocytes between leukemic patients and healthy controls. Figure 1 Correlation of CD8+ γδ T cells with age among leukemic patients before treatment We did observe a significant negative correlation between CD8+ γδ T cells at presentation with a crucial prognostic factor in childhood ALL: minimal residual disease R = –0.53, p = 0.018 (Figure 2). Figure 2 Correlation of CD8+ γδ T cells with MRD before treatment The same investigation showed no significant differences between CD3+ and CD4+ γδ lymphocytes and the same risk factors. Due to only 1 patient being classified in the standard risk group, he was excluded from the evaluation. The percentage of CD8+ γδ T cells at diagnosis was definitely higher in the IR group relative to the HR group (median IR = 1.07 vs. median HR = 0.26, p = 0.03) (Figure 3). Figure 3 CD8+ γδ T cells at diagnosis in the IR group vs. the HR group Gamma-delta (γδ) T cells are a topic of growing interest due to their prognostic signature of favorable outcome in numerous cancers [2]. To our knowledge, no data have been reported to date on γδ T cell counts among pediatric patients with acute leukemia at diagnosis. Similarly, no evidence has been presented previously about lymphocytes and their correlation with already known risk factors in childhood ALL. Thus far, γδ T cell counts have been examined in children with ALL following hematopoietic stem cell transplantation (HSCT). The results of the study argued in support of a favorable prognostic role for γδ T cells. γδ T cells have been found with increased frequency in patients who proceed to become free of disease after HSCT compared to patients with normal or decreased numbers of γδ T cells [5]. In our study we observed a higher percentage of CD8+ γδ T cells in younger patients. This correlation was not observed in the control group. Taking into account the fact that the explanation for the better outcome during the age of 1–6 and worse during adolescence is still unclear, it could be a good introduction to further research on lymphocytes’ involvement in the age-related response to leukemia treatment [6]. Apart from that, we found a strong negative correlation between CD8+ γδ T cells and minimal residual disease (MRD), which is a key prognostic factor reflecting the number of lymphoblasts in bone marrow on day 15 of treatment. The amount of CD8+ γδ T cells in peripheral blood was increased in those who achieved a lower percentage of bone marrow blasts on day 15 of chemotherapy. Additionally, an interesting finding was definitely the higher percentage of CD8+ γδ T cells in the group of patients allocated to the IR group relative to the HR group. In conclusion, our data showed a higher percentage of CD8+ γδ T lymphocytes in patients with favorable prognostic factors. We suppose that circulating CD8+ γδ T cells may act as a novel early biomarker of good prognosis in childhood ALL in future. Conflict of interest The authors declare no conflict of interest.

          Related collections

          Most cited references6

          • Record: found
          • Abstract: found
          • Article: not found

          The prognostic landscape of genes and infiltrating immune cells across human cancers.

          Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of clinical outcomes. However, existing data sets are fragmented and difficult to analyze systematically. Here we present a pan-cancer resource and meta-analysis of expression signatures from ∼18,000 human tumors with overall survival outcomes across 39 malignancies. By using this resource, we identified a forkhead box MI (FOXM1) regulatory network as a major predictor of adverse outcomes, and we found that expression of favorably prognostic genes, including KLRB1 (encoding CD161), largely reflect tumor-associated leukocytes. By applying CIBERSORT, a computational approach for inferring leukocyte representation in bulk tumor transcriptomes, we identified complex associations between 22 distinct leukocyte subsets and cancer survival. For example, tumor-associated neutrophil and plasma cell signatures emerged as significant but opposite predictors of survival for diverse solid tumors, including breast and lung adenocarcinomas. This resource and associated analytical tools (http://precog.stanford.edu) may help delineate prognostic genes and leukocyte subsets within and across cancers, shed light on the impact of tumor heterogeneity on cancer outcomes, and facilitate the discovery of biomarkers and therapeutic targets.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Acute Lymphoblastic Leukemia in Children.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Key Features of Gamma-Delta T-Cell Subsets in Human Diseases and Their Immunotherapeutic Implications

              The unique features of gamma-delta (γδ) T cells, related to their antigen recognition capacity, their tissue tropism, and their cytotoxic function, make these cells ideal candidates that could be targeted to induce durable immunity in the context of different pathologies. In this review, we focus on the main characteristics of human γδ T-cell subsets in diseases and the key mechanisms that could be explored to target these cells.
                Bookmark

                Author and article information

                Journal
                Arch Med Sci
                Arch Med Sci
                AMS
                Archives of Medical Science : AMS
                Termedia Publishing House
                1734-1922
                1896-9151
                26 February 2021
                2021
                : 17
                : 2
                : 561-563
                Affiliations
                [1 ]Department of Pediatrics, Hematology and Oncology, Medical University of Gdansk, Gdansk, Poland
                [2 ]Department of Clinical Immunology and Transplantology, Medical University of Gdansk, Gdansk, Poland
                Author notes
                Corresponding author: Dorota Pawlik-Gwozdecka MD, Department of Pediatrics, Hematology and Oncology, Medical University of Gdansk, Gdansk, Poland. Phone: +48 583 492 880. E-mail: dorota.pawlik-gwozdecka@ 123456gumed.edu.pl
                Article
                132316
                10.5114/aoms/132316
                7959043
                24cdae76-28eb-4c39-8a3e-e0930156e98f
                Copyright: © 2021 Termedia & Banach

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.

                History
                : 09 October 2020
                : 10 January 2021
                Categories
                Letter to the Editor

                Medicine
                Medicine

                Comments

                Comment on this article