Literature DB >> 35615322

Post-therapy B Regulatory Cells Might early Predict Relapse in Hodgkin Lymphoma.

Valentina Giudice1,2, Luca Pezzullo2, Giuseppe Ciancia3, Matteo D'Addona2, Francesca D'Alto2, Marisa Gorrese2, Bianca Cuffa2, Carmine Selleri1,2.   

Abstract

Entities:  

Keywords:  B regulatory cells; Hodgkin lymphoma; Immune system

Year:  2022        PMID: 35615322      PMCID: PMC9083938          DOI: 10.4084/MJHID.2022.042

Source DB:  PubMed          Journal:  Mediterr J Hematol Infect Dis        ISSN: 2035-3006            Impact factor:   3.122


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To the editor. B regulatory cells (Breg), a B cell subset with anti-inflammatory functions, play a central role in the pathogenesis of autoimmune disorders and can produce high amounts of interleukin(IL)-10 that inhibits the differentiation of naïve T cells while induces Breg survival and expansion.1 Breg can also expand Treg and Natural Killer cells (NK) through IL-10 and transforming growth factor(TGF)-β secretion or by decreasing Th17 cells, ultimately leading to inhibition of CD8+ T cytotoxic lymphocytes (CTLs).2 Moreover, Breg can induce CTL anergy, apoptosis of antigen-presenting cells, and inhibition of monocytes and macrophages with reduced production of nitric oxide, tumor necrosis factor(TNF)α, and interferon(INF)-γ.1–2 Circulating Breg are frequently decreased in autoimmune disorders and immune-mediated hematological diseases. Usually, the reduction is more profound in severe conditions, such as in idiopathic thrombocytopenic purpura (ITP) patients with very low platelet count (< 50,000/μL), in relapsing-remitting multiple sclerosis (MS), or in very severe acquired aplastic anemia (AA).3–6 Breg can also migrate from lymph nodes and bone marrow (BM) to the site of inflammation, such as the central nervous system in MS, as supported by enrichment of switched memory B cells in cerebrospinal fluid of MS patients.5 Based on known biological functions of the Breg in health and autoimmune diseases, we hypothesized that the frequency of these cells might be impaired in Hodgkin lymphoma (HL), a clonal hematological disorder characterized by the presence of Hodgkin and Reed-Sternberg (HRS) cells, the neoplastic counterpart of germinal center B cells, surrounded by an inflammatory infiltrate.7 In this retrospective case series of 24 consecutive HL patients, we investigated perturbations of circulating Breg and other immune cell subsets to provide additional evidence of the role of B cells in HL pathogenesis. Patients were diagnosed with HL based on 2008 World Health Organization criteria8 at the Hematology and Transplant Center, University Hospital “San Giovanni di Dio e Ruggi d’Aragona,” Salerno, Italy, from June 2013 to July 2014. Patients’ characteristics are summarized in Table 1. Flow cytometry immunophenotyping was performed on 200 μL of fresh heparinized whole peripheral blood (PB) or BM specimens obtained at diagnosis, at the end of the second cycle of ABVD (interim PET evaluation, iPET), at the end of treatment, and at follow-up (+3 or +12 months). Briefly, five-color staining cytofluorimetry was carried out with the following antibodies according to manufacturers’ instructions: CD3-phycoerythrin (PE)-Cyanine 5 (PC5), PE-Texas-Red (ECD), or PC5.5; CD4-PE; CD8-ECD; CD19-ECD; CD24-PE; CD25-PC5; CD27-PE-Cyanine 7 (PC7); CD38-PC7; CD45-fluorescein isothiocyanate (FITC); and CD56-PE (all from Beckman Coulter, Brea, CA, US). Sample acquisition was performed on a five-color FC500 cell analyzer cytometer equipped with blue (488 nm) and red (633 nm) lasers and with a CXP (Beckman Coulter) or FlowJo (BD Biosciences, Franklin Lakes, NJ, USA) software for data analysis. The presence of CD4+ and CD8+ T cells, CD19+ B lymphocytes, and FoxP3+ T regulatory cells (Treg) in lymph nodes from HL patients was confirmed by immunohistochemistry.
Table 1

Patients’ characteristics.

Clinical featureHLN = 24
Median age, years (range)37 (12–62)
Sex, M/F16/8/
Stage (%)
I2 (8%)
II13 (54%)
III8 (34%)
IV1 (4%)
Categories (%)
A13 (54%)
B11 (46%)
Histological subtypes
NS20 (84%)
LR2 (8%)
MC2 (8%)
IPS
112 (50%)
28 (34%)
34 (16%)
Median WBC, cells/μL (range)9,870 (1,570–23,800)
Median ALC, cells/μL (range)1,556 (581–2,720)
Median Hb, g/dL (range)13.1 (10.4–16.5)
Median platelets/μL (range)291,000 (19,000–485,000)
Median albumin g/dL (range)4 (2.9–4.9)
Median ESR, mm (range)35 (4–80)
Median LDH, IU/L (range)438 (245–800)
SUV max (range)10 (3.3–20.3)
First line therapy ABVD/ddABVD24/24
Median no. cycles (range)5 (4–8)
Second line therapy5/24
IGEV4/5
BeGEV1/5
Auto-HSCT5/24
Median follow-up, years (range)5.9 (0.31–8.07)

Abbreviations. ABVD, adriamycin [doxorubicin], bleomycin, vinblastine, dacarbazine; ddABVD, dose-dense ABVD; ALC, absolute lymphocyte count; auto-HSCT, autologous hematopoietic stem cell transplantation; BeGEV, bendamustine, gemcitabine, vinorelbine; ESR, erythrocyte sedimentation rate; Hb, hemoglobin; HL, Hodgkin lymphoma; IGEV, ifosfamide, gemcitabine, vinorelbine, and prednisolone; IPS, International Prognostic Score; LDH, lactate dehydrogenase; LR, lymphocyte rich; MC, mixed cellularity; NS, nodular sclerosis; SUV, standard uptake value; WBC, white blood cells.

Frequencies of immune cells were compared between HL patients at diagnosis (N = 18) and patients in complete remission (CR) 3 months (N = 10) or more than one year (N = 6) after chemotherapy completion (HL follow-up). Breg frequencies were significantly decreased at diagnosis compared to follow-up (mean±SD, 0.34±0.3% vs 1.3±1.5%, newly diagnosed HL vs HL follow-up; P = 0.0117; unpaired t-test performed), as well as CTLs (mean±SD, 3.09±1.8% vs 5.96±5.3%, newly diagnosed HL vs HL follow-up; P = 0.0384). No differences were found for Treg (P = 0.4380), NK (P = 0.1765), and NKT cells (P = 0.8226). Moreover, HL patients at follow-up displayed a significantly lower Treg/Breg ratio (mean±SD, 3.92±3.4 vs 1.31±1.3, newly diagnosed HL vs HL follow-up; P = 0.0072). Differences in immune cell frequencies from diagnosis to >1-year follow-up were explored by oneway analysis of variance (ANOVA) with Tukey’s test for multiple comparisons. Breg significantly increased after the end of chemotherapy (N = 11) and in long survivors compared to patients at diagnosis (P = 0.0163), as subjects at diagnosis and at iPET (N = 13) showed the lowest circulating Breg levels, especially compared to patients at 1-year follow up (P = 0.0194 or P = 0.0332, respectively) (Figure 1A). CTLs tended to increase at the end of treatment, reaching a plateau during the follow-up (diagnosis vs end of treatment, P = 0.0886). NK cell frequencies were at the lowest level after the second cycle of therapy and tended to normalize during follow-up, especially after 1-year (P = 0.0592). No significant differences were described for Treg (P = 0.7910), NKT cells (P = 0.1120), or Treg/Breg ratio (P = 0.9387) between time points. We showed that Breg were markedly decreased at diagnosis and after the second cycle of standard chemotherapy, while they started to increase at the end of treatment and normalized after at least one year from achieving a CR. CTLs and NK also displayed similar kinetics, while Treg and NKT cells did not show significant variations from diagnosis to follow-up. These preliminary results confirmed the different kinetics of B and T cell compartment perturbations during chemotherapy, as B and CD4+ T cells are rapidly depleted, while CD8+ T cells are not effectively removed by chemotherapy.9 In autoimmune disorders, immunosuppressive therapies can cause a further reduction of circulating Breg, the B cell-depletion phase, that might interrupt a pathologic crosstalk between B and T regulatory cells, eventually blocking Treg expansion followed by reconstitution of functionally competent Breg.1 Our case series confirmed that the chemotherapy induced the early B cell-depletion phase with a marked Treg/Breg ratio amplification that normalized during follow-up.
Figure 1

Frequencies of immune cells in Hodgkin lymphoma (HL).

(A) Percentage of immune cells at diagnosis were compared to those at interim PET (iPET; e.g., end of second ABVD), end of treatment (End), 3-month (3mo) and >1-year follow-up. Percentages of B regulatory cells (Breg), cytotoxic CD8+ T cells (CTL), Natural Killer cells (NK), T regulatory cells (Treg), NK T cells (NKT) are reported as mean+SD. The ratio between % of Treg and % of Breg is also shown. (B) Frequencies of Breg at the end of treatment between relapsed and no relapsed patients. (C) Using a % Breg < 0.4 as a cut-off, progression-free survival (PFS) between patients with Breg at the end of treatment lower or higher than the cut-off was compared. Data are reported as mean±SD. **, P < 0.05.

Breg variations are differently related to responsiveness to therapies; as in AA, Breg is higher in non-responders to immunosuppressive therapies than responders.3 In our case series, five patients had a disease relapse with a median of 13.1 months from diagnosis (12.8–45.7 months) and were treated with a second-line therapy followed by autologous hematopoietic stem cell transplantation (HSCT). Three of them achieved a CR and are alive at the time of writing. The other two patients received a second auto-HSCT, and one of them died after nine days from transplant because of septic shock. The entire cohort’s 5-year overall survival (OS) was 95.7%, 1-year progression-free survival (PFS) was 91%, and 5-year PFS was 77.7%. Circulating Breg levels at diagnosis were compared to those documented at the end of treatment between patients without disease relapse and patients who relapsed. Significant higher Breg levels were described in relapsed patients at the end of treatment compared to those who did not relapse (mean±SD, 0.24±0.3% vs. 1.68±1.1%, no relapse vs. relapse; P = 0.0062) (Figure 1B). The lowest value of circulating Breg in the relapse group (0.4%) was used as a cut-off for stratifying patients, and PFS was compared between groups by Log-rank (Mantel-Cox) test (Figure 1C). Subjects with higher Breg at the end of treatment (N = 5) had a 13.1 months PFS compared to those with lower Breg (N = 6; 1-year PFS, 100%; P = 0.0068; hazard ratio, 17.36; 95% confidential interval, 2.194-137.4); however, the number of censored subjects was small to draw conclusive assumptions. As reported in MS and AA,3,5 relapsed HL patients had significantly higher circulating Breg levels at the end of treatment, suggesting that those patients might not have a complete B-cell depletion and an efficient subsequent immunological reset. Our study has several limitations: the small number of patients retrospectively selected and the presence of rare variants; some heterogeneity of distribution in A/B categories, stages, or prognostic scores; and the lack of further Breg characterization or measurement of circulating interleukins not routinely performed in the diagnostic setting. Strengths of our study are: investigation of immune cell subset perturbations in HL at diagnosis and at short- and long-term (>1-year after the end of treatment) follow-up in a real-world study; patients homogeneously treated with ABVD as first-line therapy; simple staining for immunophenotyping of lymphocyte subsets with regulatory functions in a diagnostic setting; and we have reported for the first time Breg variations in HL. In conclusion, we showed that Breg might be decreased at diagnosis in HL patients, and their normalization together with a normal immune reconstitution might indicate a restored immune tolerance and surveillance that might be related to long-last disease remission. However, our preliminary results need further validation in larger prospective studies, investigating frequencies and perturbations of immune cells in the site of inflammation (e.g., lymph nodes in HL) to support the hypothesis that the Breg migrate from peripheral blood to tissues and enrich at the site of disease.
  9 in total

1.  Reduction in IL-10 producing B cells (Breg) in multiple sclerosis is accompanied by a reduced naïve/memory Breg ratio during a relapse but not in remission.

Authors:  Stephanie Knippenberg; Evelyn Peelen; Joost Smolders; Mariëlle Thewissen; Paul Menheere; Jan Willem Cohen Tervaert; Raymond Hupperts; Jan Damoiseaux
Journal:  J Neuroimmunol       Date:  2011-09-21       Impact factor: 3.478

Review 2.  Hodgkin lymphoma.

Authors:  Joseph M Connors; Wendy Cozen; Christian Steidl; Antonino Carbone; Richard T Hoppe; Hans-Henning Flechtner; Nancy L Bartlett
Journal:  Nat Rev Dis Primers       Date:  2020-07-23       Impact factor: 52.329

3.  Human CD19(+)CD25(high) B regulatory cells suppress proliferation of CD4(+) T cells and enhance Foxp3 and CTLA-4 expression in T-regulatory cells.

Authors:  Aharon Kessel; Tharwat Haj; Regina Peri; Ayelet Snir; Doron Melamed; Edmond Sabo; Elias Toubi
Journal:  Autoimmun Rev       Date:  2011-12-02       Impact factor: 9.754

4.  Therapeutic B cell depletion impairs adaptive and autoreactive CD4+ T cell activation in mice.

Authors:  Jean-David Bouaziz; Koichi Yanaba; Guglielmo M Venturi; Yaming Wang; Roland M Tisch; Jonathan C Poe; Thomas F Tedder
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-19       Impact factor: 11.205

5.  Defective regulatory B-cell compartment in patients with immune thrombocytopenia.

Authors:  Xiaojuan Li; Hui Zhong; Weili Bao; Nayla Boulad; Jessie Evangelista; Muhammad Anis Haider; James Bussel; Karina Yazdanbakhsh
Journal:  Blood       Date:  2012-08-02       Impact factor: 22.113

6.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

Authors: 
Journal:  JAMA       Date:  2013-11-27       Impact factor: 56.272

Review 7.  Immune regulatory function of B cells.

Authors:  Claudia Mauri; Anneleen Bosma
Journal:  Annu Rev Immunol       Date:  2012-01-03       Impact factor: 28.527

Review 8.  Advances of Regulatory B Cells in Autoimmune Diseases.

Authors:  Qiugang Zhu; Ke Rui; Shengjun Wang; Jie Tian
Journal:  Front Immunol       Date:  2021-04-15       Impact factor: 7.561

9.  Deficit of circulating CD19+ CD24hi CD38hi regulatory B cells in severe aplastic anaemia.

Authors:  Yoshitaka Zaimoku; Bhavisha A Patel; Sachiko Kajigaya; Xingmin Feng; Lemlem Alemu; Diego Quinones Raffo; Emma M Groarke; Neal S Young
Journal:  Br J Haematol       Date:  2020-04-20       Impact factor: 8.615

  9 in total

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