· web viewchina is an endemic area of hbv infection where the prevalence of hepatitis b virus...
TRANSCRIPT
Distinct clinical characteristics and poor prognosis for diffuse large B-cell
lymphoma patients with hepatitis B virus infection in China: a systematic review
and meta-analysis
Minyue Zhang1*, Fei Gao2*, Guiqi Zhu3, Yanwei Zhao4, Beiwen Ni1, Honghui Huang1,
Jian Hou1
1. Division of Hematology, Renji Hospital, School of Medicine, Shanghai Jiaotong
University, 160 Pu Jian Road, Shanghai, 200127, China
2. College of Pharmacy, Chengdu University of Traditional Chinese Medicine,
Chengdu, 611730, China
3. Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032,
China; State Key Laboratory of Genetic Engineering, Fudan University, Shanghai,
200032, China
4. Division of Hospitalist, Shanghai Jiahui International Hospital, 689 Quiping Road,
Shanghai, 200233, China
*Co-first authors, these authors contributed equally to this work
Corresponding author: Honghui Huang, Email: [email protected]
Jian,Hou, Email: [email protected]
Abstract
Background: China is an endemic area of hepatitis B virus (HBV) infection. Plenty
of studies showed that HBV infection was associated with diffuse large B-cell
lymphoma (DLBCL). However, no clear consensus was reached on the impact of
HBV infection on DLBCL patients’ clinical features and outcomes. We therefore
performed a systematic review and meta-analysis to explore the clinical
characteristics and survival of DLBCL patients with HBV infection (Hepatitis B virus
surface antigen positive, HBsAg+) in the Chinese population.
Methods: PubMed, Embase and Cochrane Library database were searched for
retrospective study up to Apr 30, 2018. Hazard ratio (HR) or odds ratio (OR)
corresponding to 95% confidence interval (CI) were calculated to estimate the
outcomes. Publication biases were assessed by Egger's test, Begg's test and funnel
plots. Statistical analyses were performed by the software RevMan 5.2 and Stata
version 10.0.
Results: Total 8 studies were included in the current review, comprising of 493
HBsAg+ DLBCL patients and 1779 HBsAg– DLBCL patients. Compared with
HBsAg– DLBCL patients, significantly shorter overall survival (HR 1.62; 95% CI
1.36~1.93, P<0.00001) and progress-free survival (HR 2.04; 95% CI 1.64~2.53,
P<0.00001) were demonstrated in HBsAg+ DLBCL patients. The treatment response
in HBsAg– DLBCL patients was slightly better than that in HBsAg+ DLBCL
patients. Furthermore, HBsAg+ patients were characterized by a younger age of
disease onset (OR 3.35; 95% CI 2.23~5.02, P<0.00001), advanced disease stages (OR
1.88; 95% CI 1.50~2.36, P<0.00001), higher level of LDH (OR 1.46; 95% CI
1.18~1.80, P=0.0005) and more frequent involvement of spleen (OR 3.40; 95% CI
2.40~4.80, P<0.00001) at diagnosis in comparison to HBsAg– DLBCL patients.
However, no significant difference was found in International Prognostic Index scores
between two groups.
Conclusions: The current study showed that DLBCL patients with HBV infection
displayed distinct clinical features and inferior prognosis thereby indicating HBV-
associated DLBCL can be categorized as a separated subtype of DLBCLs.
Key words: diffuse large B-cell lymphoma, HBV infection, prognosis, meta-analysis
Background
Diffuse large B-cell lymphoma (DLBCL) is an aggressive lymphoid malignancy
characterized by heterogeneous clinical and genetic features, representing about 30-
40% of non-Hodgkin’s lymphoma (NHL) worldwide [1]. Increasing evidences
suggested that viral infection contributed to the pathogenesis of different subtypes of
lymphoma, such as Epstein-Barr virus (EBV) in Hodgkin disease or Burkitt’s
lymphoma, human T-cell leukemia virus type 1 (HTLV-1) in adult T cell leukemia
and lymphoma, hepatitis C virus (HCV) in marginal zone lymphoma [2-4]. According
to the 2016 revision of the World Health Organization classification of lymphoid
neoplasms, EBV-positive DLBCL, human herpesvirus type-8 (HHV-8)-positive
DLBCL, have been classified as separated subtypes of DLBCL[5]. These new
categories strongly suggested that DLBCL patients with specific infection displayed a
distinct clinical manifestations and prognosis.
Hepatitis B virus (HBV) is primary hepatotrophic virus and is well known for
contributing to the development of hepatic cirrhosis and hepatocellular carcinoma.
Moreover, HBV was also found to infect peripheral blood mononuclear cells and
lymphoblastoid cell lines[6]. High level of HBV-DNA could be detected in tumour
biopsies from B-cell lymphoma patients with HBV infection [7], hence indicating that
HBV was also lymphotropic. A recent meta-analysis has also provided quantitative
evidence that HBV infection can lead to a 2.06-fold increased risk of developing
DLBCL[8]. Nevertheless, the pathogenesis and clinical characteristic of HBV-
associated lymphoma is still undefined.
China is an endemic area of HBV infection where the prevalence of Hepatitis B
virus surface antigen (HBsAg) seropositive is 7.2% nationwide [9]. Therefore, arising
clinical attention to the association of HBV infection and the clinical outcomes of
DLBCL patients in China was paid[10-15]. However, no clear consensus has been
reached about the impact of HBV infection on DLBCL patients’ clinical
manifestation and survival based on existing retrospective studies with small sample
size. In view of the limitations of previous studies, we hereby performed a systematic
review and meta-analysis aiming to evaluate the clinical features and prognosis in
DLBCL patients with HBV infection.
Materials and methods
Identification of relevant studies
To identify all studies that explored the impact of HBV infection on the clinical
characteristics and outcome of DLBCL patients, a literature search of PubMed,
Embase and Cochrane Library database up to Apr 30, 2018 was conducted. The
search strategy was based on combinations of the following keywords and search
terms: (“lymphoma” [MeSH] or “Lymphoma, Non-Hodgkin” [MeSH] or
“Lymphoma, Large B-Cell, Diffuse” [MeSH] or Non-Hodgkin lymphoma or diffuse
large B-cell lymphoma or NHL or DLBCL) AND (“hepatitis B” [MeSH] or hepatitis
B virus or HBV or Hep B virus or Hep B). The language of publication was limited to
English. We also screened the references of retrieved studies, meeting abstracts,
relevant meta-analyses and systematic reviews. Case reports, editorials and review
articles were excluded. When a publication overlapped with other publication of the
same trial, only the article with more details or the most recent article was retained.
Selection criteria
The studies included in the meta-analysis should satisfy all the following criteria: (1)
the study population was Chinese DLBCL patients; (2) two groups (i.e. HBsAg+ and
HBsAg–) of DLBCL patients were included; (3) clinical features and survivals
between two groups of patients were compared. Exclusion criteria were: (1) patients
had co-infection with human immunodeficiency virus (HIV) or other hepatitis viruses
(HCV, hepatitis D virus [HDV]); (2) patients with an occult HBV infection [HBsAg
negative and hepatitis B core antibody (HBcAb) positive] as case group; (3) patients
with other types of lymphoma. When the relevant data was not reported in paper, we
contacted the author to get the relevant information by e-mail or telephone.
The primary outcome was survival outcome, including overall survival (OS) and
progress-free survival (PFS). OS was defined as the time from diagnosis to death from
any causes or last follow-up. PFS was defined as the time from the date of diagnosis
to the date of first progression, death from any causes or last follow-up. The
secondary outcome measured treatment response, including rate of complete response
(CR) and overall response (ORR), and clinical characteristic including age of onset,
advanced disease stage (Ann Arbor staging III/IV), elevated LDH level, involvement
of spleen and International Prognostic Index (IPI) score (3~5 points).
Data extraction and study quality
Two reviewers (Zhang M., and Gao F.) independently extracted data and outcomes
using an electronic standard form. The following information from each study was
summarized: (1) first author, (2) year of publication, (3) use of rituximab, (4)
frequency of HBV reactivation, (5) prophylactic interventions for HBV reactivation,
(6) follow-up duration, (7) number of patients with HBsAg seropositivity and
seronegativity, (8) patient’s characteristics including age of onset (<60 years old),
advanced disease stage (Ann Arbor staging III/IV), elevated LDH level, involvement
of spleen, IPI score (3~5 points), treatment response (CR and ORR), OS and PFS.
Any discrepancies amongst the two reviewers were resolved by an additional
investigator, Zhu G.
Quality assessment
Newcastle-Ottawa Quality Assessment Scale (NOS) was adopted to assess the
methodological quality of the included studies[16]. The following three items were
evaluated including: (1) patient selection, (2) comparability of interventions and
observations group, and (3) assessment of outcome.
Statistical analysis
Hazard ratio (HR) corresponding to 95% confidence interval (CI) were used to
appraise OS and PFS. If HRs and 95% CIs were not obtained from the original article,
Kaplan–Meier curves of the included studies were read and re-analyzed by software
Engauge digitizer which HRs and 95% CIs were indirectly calculated from Kaplan–
Meier curve using Tierney’s methods [17]. Odds ratio (OR) corresponding to 95% CI
were calculated to estimate other outcomes. Publication biases were assessed by
Egger's test, Begg's test and funnel plots. The methods of meta-analysis and
publication biases tests were detailed in our previous publication[18-21].
Statistical analysis was performed by software ReviewManager 5.2 (The Cochrane
Collaboration, Oxford, UK) and Stata version 10 (Stata Corp, College Station, Texas,
USA). All P-values were both-sided. P-value of <0.05 was considered significance.
Results
Characteristics of studies
Through the comprehensive search and selection based on the criteria above, 1703
articles were identified as potentially relevant publications. Upon further assessment
of the full text, 13 publications didn’t meet the inclusion criteria and were excluded.
Eventually, 8 articles[10-15, 22, 23] with a total of 2272 DLBCL patients, including
493 patients with HBsAg seropositive and 1779 patients with HBsAg seronegative,
were deemed suitable for the meta-analysis (Figure 1). The studies were published
between 2008 and 2018. Sample size was ranged from 81 to 587. The HRs with 95%
CIs could be directly obtained in 2 original studies. Detailed characteristics of the
eligible studies were outlined in Table 1. With regards to the methodological quality,
all the included studies had reliable quality as indicated by NOS scores > 6 points
(Table 1).
OS
A total of 8 studies, comprising of 493 DLBCL patients with HBsAg seropositive and
1779 DLBCL patients with HBsAg seronegative, were included for the assessment of
OS. The fixed-effects model was used to calculate the result due to non-significant
heterogeneity (P = 0.11). The result indicated that HBsAg+ patients had significantly
worse OS than HBsAg–patients (HR 1.62; 95% CI 1.36~1.93, P<0.00001) (Figure.
2A)
PFS
Among all 8 studies, only 4 studies (i.e. 250 DLBCL patients with HBsAg
seropositivity and 953 DLBCL patients with HBsAg seronegativity), were available
for PFS analysis. The fixed-effects model was used to calculate the result as there was
no significant heterogeneity (P = 0.33). Meta-analysis revealed that HBsAg+ patients
showed significantly reduced PFS as compared with the HBsAg– patients (HR 2.04;
95% CI 1.64~2.53, P<0.00001) (Figure. 2B).
Treatment response
Treatment responses including CR and ORR rate were analyzed by using random-
effects model as the heterogeneity tests suggested significant heterogeneity (P CR =
0.04, P ORR = 0.02). The combined results showed that there was a trend that HBsAg–
DLBCL patients achieved a slightly better treatment response than HBsAg+ DLBCL
patients (OR CR 0.60, 95% CI 0.34~1.04, P=0.07; OR ORR 0.60, 95% CI 0.34~1.05,
P=0.07) (Figure. 3A, B).
Clinical characteristics
Clinical characteristics of DLBCL patients, including age of disease onset (<60 years
old), advanced disease stage (Ann Arbor staging III/IV), elevated LDH level,
involvement of spleen and IPI score (3~5 points) at diagnosis were also
comprehensively investigated between two groups of patients. The results of meta-
analysis were summarized in Figure. 4 A-E. DLBCL patients with HBsAg
seropositivity were associated younger age of onset (OR 3.35; 95% CI 2.23~5.02,
P<0.00001), more advanced disease stage (OR 1.88; 95% CI 1.50~2.36, P<0.00001),
higher level of LDH (OR 1.46; 95% CI 1.18~1.80, P=0.0005) and more frequent
involvement of spleen (OR 3.40; 95% CI 2.40~4.80, P<0.00001). However, there was
no significant difference in IPI score (OR 0.97; 95% CI 0.55~1.69, P=0.91) between
the two groups.
Sensitivity analysis
Due to the significant heterogeneity observed among the included studies in meta-
analysis of treatment response, sensitivity analysis was performed by a sequential
exclusion of individual studies to check the origin of the heterogeneity and specific
sensitivity of the findings. Sensitivity analysis showed the study of Deng et al[10]
was responsible for such heterogeneity, removal of which could not affect the overall
ORs. For IPI score outcome, the heterogeneity still existed even though studies were
excluded one by one.
Publication bias
We conducted Begg’s test and Egger's test to assess the publication bias. As was
shown in Table 2, no significant publication bias was observed for all the outcomes.
Furthermore, funnel plots of publication bias were symmetrical (figure not shown)
which also suggested the absence of publication bias.
Discussion
In this study, we performed a systematic review and meta-analysis to evaluate the
impact of HBV infection on Chinese DLBCL patients. The results indicated that in
comparison with HBsAg– DLBCL patients, HBsAg+ DLBCL patients had
significantly inferior survival, younger age of onset, more advanced disease stage,
higher level of LDH, more frequent involvement of spleen and slightly worse
treatment response.
Although substantial evidence has demonstrated the association between DLBCL
and HBV infection [8, 24-28], the pathogenic mechanism of HBV contributing to
DLBCL was still unclear. Two different models of HBV infection-driven DLBCL
were proposed [10, 13]. Deng et al suggested HBV-associated antigen stimulation as a
likely mechanism of HBV-associated DLBCL. It was evident by long history of
chronic HBV infection, frequent involvement spleen and retroperitoneal lymph nodes,
strongly biased usage of both Ig heavy and light chain genes, and high homology of
CDR3 sequence to specific antibodies for HBsAg [10]. On the other hand, Ren et al
considered HBV-driven mutagenesis in a hit-and-run manner as an alternative
mechanism of HBV-driven DLBCL [13], as supported by a distinctive molecular
profile of HBV-associated DLBCLs via whole-genome/exome and transcriptomic
sequencing. They have found that HBsAg+ DLBCL patients have enhanced mutation
activity. Several genes, such as BCL6, KLF2 and ZFP36L1 were preferentially
mutated in HBsAg+ DLBCL patients, which mainly affected p53 signaling, FOXO
signaling and immune evasion signaling pathway.
In our study, we found that HBsAg+ DLBCL patients showed a poorer outcome,
which was consistent with the results form two individual retrospective studies[10,
29]. The poor outcome of HBsAg+ DLBCL patients might be mainly due to early
disease progress[10]. In the era of rituximab, the treatment response and prognosis of
DLBCL patients have been significantly improved[30, 31]. However, can DLBCL
patients with HBV infection benefit from rituximab treatment? Based on the existing
studies, it revealed that rituximab-containing chemotherapy (R-CHOP) did not seem
to overcome the inferior outcome conferred by HBV infection when compared with
rituximab-absent chemotherapy (CHOP)[10, 29], as evidenced by no significant
difference of OS and PFS between HBsAg + DLBCL patients receiving R-CHOP and
CHOP chemotherapy. Therefore, new therapeutic strategies specific for these patient
subgroups is of crucial demand. On the other hand, BCL6 genetic alternations were
frequently observed in HBsAg+ tumors[13], and BCL-6 inhibitor, FX1, was
demonstrated to suppress the growth of DLBCL cells in vitro and in vivo[32].
Therefore, targeted therapy against BCL6 might serve as adjuvant therapy to improve
the clinical prognosis in HBV-infected DLBCL patients.
To the best of our current knowledge, this is the first study which systematically
assessing the clinical features of HBV-associated DLBCL. Hepatitis B virus is
endemic in China while DLBCLs display high genetic and ethnic heterogeneity,
leading us to focus on the Chinese DLBCL population. There have been in total eight
studies included for meta-analysis. The methodological quality of included studies
was moderate to high by NOS. Although the sample size in analysis was not large
enough, low heterogeneity and no publication bias were observed, supporting the
reliability of our results. However, there were three major limitations in this study.
Firstly, during the evaluation of OS and PFS, most HR and 95% CI of individual
studies could not be obtained from the original article hence they were indirectly
calculated from Kaplan–Meier curve. The results calculated by this method only
reflected the association between HBV infection and DLBCL patients’ survival. Other
risk factors (e.g. Ki-67 expression, MYC/BCL2 protein coexpression, usage of
rituximab) which could also predict DLBCL patient prognosis [33-35], could not be
taken into account for in-depth analysis. Wei et al reported that Therefore, based on
our results, whether HBV infection was an independent poor predictor of survival
remained elusive. Further Cox multivariate analysis with large sample size was
preferred for justification.
Secondly, hepatic dysfunction is a common complication of chemotherapy in
HBsAg+ DLBCL patients due to HBV reactivation. Hepatic dysfunction during
chemotherapy may terminate or delay chemotherapy. But whether it could lead to
inferior prognosis in HBsAg+ DLBCL patients remained unknown. Based on the
exiting study, no relevant data was available for analysis to clarify this issue.
Lastly, the impact of HBV occult infection on DLBCL failed to be evaluated in our
meta-analysis despite high incidence of occult HBV infection was found in B-NHL
patients[36]. Deng et al reported that there was a trend that occult HBV-infection
DLBCL patients had inferior survival compared with those without HBV
infection[10]. Therefore, the association study of occult HBV-infection and DLBCL
was required in the future.
Conclusions
This meta-analysis provided the compelling evidence about a direct link between
HBV infection and DLBCL, which led to a better understanding of the clinical
characteristic and survival of HBsAg+ DLBCL patients. Due to the unique clinical
and molecular features, HBV-associated DLBCL could be categorized as a subtype of
DLBCL.
Abbreviations
HBV: hepatitis B virus; DLBCL: diffuse large B cell lymphoma; NHL: non-
Hodgkin’s lymphoma; HBsAg: Hepatitis B virus surface antigen; HR: hazard ratio;
OR: odds ratio; CI: confidence interval; EBV: Epstein-Barr virus; HTLV-1: human T-
cell leukemia virus type 1; HCV: hepatitis C virus; HIV: human immunodeficiency
virus; HDV: hepatitis D virus; HBcAb: hepatitis B core antibody; OS: overall
survival; PFS: progress-free survival; CR: complete response; ORR: overall response;
IPI: International Prognostic Index; NOS: Newcastle-Ottawa Quality Assessment
Scale
Authors’ contributions
Ni B and Zhu G performed literature research. Zhang M, Gao F and Zhu G extracted
and analyzed the data, Zhang M, Zhao Y and Gao F wrote the manuscript; Huang H
and Hou J conceived and designed this study. All authors reviewed and approved the
final manuscript.
Competing interests
The authors declare that they have no competing interests.
Acknowledgements
This work was supported by Health industry research projects of Pudong New Area
health and Family Planning Commission (PW2015E-1) and Project of Further
Accelerating Development of Traditional Chinese Medicine in Shanghai
(ZY3-CCCX-3-3037).
Reference
1. Sehn LH, Gascoyne RD. Diffuse large B-cell lymphoma: optimizing outcome in the context of clinical and biologic heterogeneity. Blood. 2015; 125: 22-32.2. de The G. Viruses and human cancers: challenges for preventive strategies. Environmental health perspectives. 1995; 103 Suppl 8: 269-73.3. Parsonnet J, Isaacson PG. Bacterial infection and MALT lymphoma. The New England journal of medicine. 2004; 350: 213-5.4. Armand M, Besson C, Hermine O, Davi F. Hepatitis C virus - Associated marginal zone lymphoma. Best practice & research Clinical haematology. 2017; 30: 41-9.
5. Swerdlow SH, Campo E, Pileri SA, Harris NL, Stein H, Siebert R, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016; 127: 2375-90.6. Pontisso P, Vidalino L, Quarta S, Gatta A. Biological and clinical implications of HBV infection in peripheral blood mononuclear cells. Autoimmunity reviews. 2008; 8: 13-7.7. Wang F, Yuan S, Teng KY, Garcia-Prieto C, Luo HY, Zeng MS, et al. High hepatitis B virus infection in B-cell lymphoma tissue and its potential clinical relevance. European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP). 2012; 21: 261-7.8. Li M, Gan Y, Fan C, Yuan H, Zhang X, Shen Y, et al. Hepatitis B virus and risk of non-Hodgkin lymphoma: An updated meta-analysis of 58 studies. Journal of viral hepatitis. 2018.9. Liang X, Bi S, Yang W, Wang L, Cui G, Cui F, et al. Reprint of: Epidemiological serosurvey of Hepatitis B in China--declining HBV prevalence due to Hepatitis B vaccination. Vaccine. 2013; 31 Suppl 9: J21-8.10. Deng L, Song Y, Young KH, Hu S, Ding N, Song W, et al. Hepatitis B virus-associated diffuse large B-cell lymphoma: unique clinical features, poor outcome, and hepatitis B surface antigen-driven origin. Oncotarget. 2015; 6: 25061-73.11. Law MF, Lai HK, Chan HN, Ha CY, Ng C, Yeung YM, et al. The impact of hepatitis B virus (HBV) infection on clinical outcomes of patients with diffuse large B-cell lymphoma. European journal of cancer care. 2015; 24: 117-24.12. Liu WP, Wang XP, Zheng W, Ping LY, Zhang C, Wang GQ, et al. Hepatitis B virus reactivation after withdrawal of prophylactic antiviral therapy in patients with diffuse large B cell lymphoma. Leukemia & lymphoma. 2016; 57: 1355-62.13. Ren W, Ye X, Su H, Li W, Liu D, Pirmoradian M, et al. Genetic landscape of hepatitis B virus-associated diffuse large B-cell lymphoma. Blood. 2018; 131: 2670-81.14. Wang F, Xu RH, Luo HY, Zhang DS, Jiang WQ, Huang HQ, et al. Clinical and prognostic analysis of hepatitis B virus infection in diffuse large B-cell lymphoma. BMC cancer. 2008; 8: 115.15. Zhao X, Guo X, Xing L, Yue W, Yin H, He M, et al. HBV infection potentiates resistance to S-phase arrest-inducing chemotherapeutics by inhibiting CHK2 pathway in diffuse large B-cell lymphoma. Cell death & disease. 2018; 9: 61.16. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. European journal of epidemiology. 2010; 25: 603-5.17. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007; 8: 16.18. Zhang MY, Chen FY, Zhong H. Meta-analysis of human leukocyte antigen genetic polymorphisms and susceptibility to chronic myelogenous leukemia in Chinese population. Leukemia research. 2011; 35: 1564-70.19. Zhang MY, Miao L, Li YS, Hu GY. Meta-analysis of the methylenetetrahydrofolate reductase C677T polymorphism and susceptibility to Alzheimer's disease. Neuroscience research. 2010; 68: 142-50.20. Zhang MY, Zhu GQ, Shi KQ, Zheng JN, Cheng Z, Zou ZL, et al. Systematic review with network meta-analysis: Comparative efficacy of oral nucleos(t)ide analogues for the prevention of chemotherapy-induced hepatitis B virus reactivation. Oncotarget. 2016; 7: 30642-58.21. Zhang MY, Zhu GQ, Zheng JN, Cheng Z, Van Poucke S, Shi KQ, et al. Nucleos(t)ide analogues for preventing HBV reactivation in immunosuppressed patients with hematological malignancies: a network meta-analysis. Expert review of anti-infective therapy. 2017; 15: 503-13.22. Liu Z, Li S, Guo W, Wang Y, Wang M, Bai O. MYC Gene Rearrangements Are Closely Associated with Poor Survival of Diffuse Large B Cell Lymphoma with Hepatitis B Virus Infection. BioMed research
international. 2017; 2017: 1967648.23. Xie W, Zhou D, Hu K, Xiao X, Huang W, He J, et al. Clinical analysis and prognostic significance of hepatitis B virus infections for diffuse large B-cell lymphoma with or without rituximab therapy. Experimental and therapeutic medicine. 2013; 6: 109-14.24. Dalia S, Chavez J, Castillo JJ, Sokol L. Hepatitis B infection increases the risk of non-Hodgkin lymphoma: a meta-analysis of observational studies. Leukemia research. 2013; 37: 1107-15.25. Engels EA, Cho ER, Jee SH. Hepatitis B virus infection and risk of non-Hodgkin lymphoma in South Korea: a cohort study. The Lancet Oncology. 2010; 11: 827-34.26. Marcucci F, Mele A. Hepatitis viruses and non-Hodgkin lymphoma: epidemiology, mechanisms of tumorigenesis, and therapeutic opportunities. Blood. 2011; 117: 1792-8.27. Marcucci F, Spada E, Mele A, Caserta CA, Pulsoni A. The association of hepatitis B virus infection with B-cell non-Hodgkin lymphoma - a review. American journal of blood research. 2012; 2: 18-28.28. Nath A, Agarwal R, Malhotra P, Varma S. Prevalence of hepatitis B virus infection in non-Hodgkin lymphoma: a systematic review and meta-analysis. Internal medicine journal. 2010; 40: 633-41.29. Wei Z, Zou S, Li F, Cheng Z, Li J, Wang J, et al. HBsAg is an independent prognostic factor in diffuse large B cell lymphoma patients in rituximab era: result from a multicenter retrospective analysis in China. Medical oncology (Northwood, London, England). 2014; 31: 845.30. Fu K, Weisenburger DD, Choi WW, Perry KD, Smith LM, Shi X, et al. Addition of rituximab to standard chemotherapy improves the survival of both the germinal center B-cell-like and non-germinal center B-cell-like subtypes of diffuse large B-cell lymphoma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2008; 26: 4587-94.31. Gao G, Liang X, Jiang J, Zhou X, Huang R, Chu Z, et al. A systematic review and meta-analysis of immunochemotherapy with rituximab for B-cell non-Hodgkin's lymphoma. Acta oncologica (Stockholm, Sweden). 2010; 49: 3-12.32. Cardenas MG, Yu W, Beguelin W, Teater MR, Geng H, Goldstein RL, et al. Rationally designed BCL6 inhibitors target activated B cell diffuse large B cell lymphoma. The Journal of clinical investigation. 2016; 126: 3351-62.33. Park JH, Yoon DH, Kim DY, Kim S, Seo S, Jeong Y, et al. The highest prognostic impact of LDH among International Prognostic Indices (IPIs): an explorative study of five IPI factors among patients with DLBCL in the era of rituximab. Annals of hematology. 2014; 93: 1755-64.34. He X, Chen Z, Fu T, Jin X, Yu T, Liang Y, et al. Ki-67 is a valuable prognostic predictor of lymphoma but its utility varies in lymphoma subtypes: evidence from a systematic meta-analysis. BMC cancer. 2014; 14: 153.35. Hu S, Xu-Monette ZY, Tzankov A, Green T, Wu L, Balasubramanyam A, et al. MYC/BCL2 protein coexpression contributes to the inferior survival of activated B-cell subtype of diffuse large B-cell lymphoma and demonstrates high-risk gene expression signatures: a report from The International DLBCL Rituximab-CHOP Consortium Program. Blood. 2013; 121: 4021-31; quiz 250.36. Chen MH, Hsiao LT, Chiou TJ, Liu JH, Gau JP, Teng HW, et al. High prevalence of occult hepatitis B virus infection in patients with B cell non-Hodgkin's lymphoma. Annals of hematology. 2008; 87: 475-80.
Table 1. Baseline characteristics of included studies
Author Year Number of patients Median follow-up
month (range)
Use of rituximab % HBV reactivation % HBV reactivation
prophylaxis
NOS Hazard ratio
HBsAg+ HBsAg– HBsAg+ HBsAg- HBsAg+ HBsAg-
Deng LJ 2015 81 506 41 (1-135) 40.7 53.6 6.2 0 Yes 8 Extrapolated
Law MF 2015 16 65 47.8 (1.1–188) 50 48 - - LAM 9 Reported
Liu WP 2016 46 61 24.8 (2.57-62.8) 63 90.2 21.7 0 LAM, ENT, TDF, ADV 8 Extrapolated
Liu ZH 2017 30 51 26.4 (3-65) 43.3 64.7 10 0 LAM, ENT 9 Reported
Ren WC 2018 56 219 - - - - - - 7 Extrapolated
Wang F 2008 81 181 - <10 <10 - - LAM 7 Extrapolated
Xie WZ 2013 90 361 27 (1-76) 54.4 68.1 - - LAM 8 Extrapolated
Zhao XY 2018 93 335 - 53.8 64.8 - - - 8 Extrapolated
LAM = lamivudine; ETV = entecavir; ADV = adefovir; TDF = tenofovir;
Table 2. Results of Begg’s test and Egger’s test
Outcome P Begg’s test P Egger’s test
OS 0.900 0.455
PFS 1.000 0.319
CR 0.734 0.604
ORR 0.806 0.467
Age of onset 1.000 0.970
Advanced disease stage 0.711 0.380
Elevated LDH level 1.000 0.947
Spleen involvement 0.734 0.394
IPI score 0.452 0.529
Figure legend:
Figure 1. Literature search and selection.
Figure 2. Meta-analysis of the association between status of HBsAg and survival of
DLBCL patients. (A) OS and (B) PFS.
Figure 3. Meta-analysis of the association between status of HBsAg and treatment
response of DLBCL patients. (A) CR rate and (B) ORR rate.
Figure 4. Meta-analysis of the association between status of HBsAg and clinical
characteristic of DLBCL patients. (A) Age of disease onset (< 60 years old); (B) IPI
score (3~5); (C) Involvement of spleen; (D) Advanced disease stage (Ann Arbor
staging III/IV); and (E) Elevated LDH level.
Figure 1. Literature search and selection.
Figure 2. Meta-analysis of the association between status of HBsAg and survival of
DLBCL patients. (A) OS and (B) PFS.
Figure 3. Meta-analysis of the association between status of HBsAg and treatment
response of DLBCL patients. (A) CR rate and (B) ORR rate.
Figure 4. Meta-analysis of the association between status of HBsAg and clinical
characteristic of DLBCL patients. (A) Age of disease onset (< 60 years old); (B) IPI
score (3~5); (C) Involvement of spleen; (D) Advanced disease stage (Ann Arbor
staging III/IV); and (E) Elevated LDH level.