Title |
Worse outcome and distinct mutational pattern in follicular lymphoma with anti-HBc positivity
|
---|---|
Published in |
Blood Advances, January 2022
|
DOI | 10.1182/bloodadvances.2021005316 |
Pubmed ID | |
Authors |
Concepción Fernández-Rodríguez, Juan José Rodríguez-Sevilla, Lierni Fernández-Ibarrondo, Blanca Sánchez-González, Joan Gibert, Leire Bento, Juan Fernando García, Juan Manuel Sancho, Ramón Diez-Feijóo, Laura Camacho, Montserrat García-Retortillo, Eva Gimeno, Luis Colomo, Antonio Gutiérrez, Beatriz Bellosillo, Antonio Salar |
Abstract |
Epidemiological studies have demonstrated the association between hepatitis B virus (HBV) infection and B-cell non-Hodgkin lymphomas (NHL), mainly for diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). We studied a cohort of 121 FL patients for HBV infection status, clinical features and gene mutational profile. Anti-HBc was detectable in sixteen patients (13.2%), although all had undetectable HBV DNA. Anti-HBc+ cases presented with older age at diagnosis than anti-HBc- cases (68.1 vs. 57.2 years, P=0.007) and higher β2-microglobulin (56.3% vs. 28.9%, P=0.04). All patients included in the study fulfilled criteria for treatment and received therapy with rituximab or rituximab-containing chemotherapy. There were no episodes of HBV reactivation or HBV-hepatitis during treatment and/or maintenance. Remarkably, anti-HBc+ patients had significantly lower 10-year PFS (12.9% vs 58.3%; P<0.0001) and OS (22.0% vs. 86.2%, P<0.0001), that remained at multivariate analysis. Gene mutational profiling of all cases showed that anti-HBc+ cases had higher incidence of ARID1A mutations and absence of EP300 mutations, two key epigenetic regulators in FL. Overall, our study shows that FL patients with resolved HBV infection have a worse outcome independently of other well-known clinical risk factors and a distinct gene mutational profile. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 57% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 18% |
Researcher | 2 | 18% |
Lecturer > Senior Lecturer | 1 | 9% |
Student > Master | 1 | 9% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 27% |
Medicine and Dentistry | 3 | 27% |
Unknown | 5 | 45% |