Age and comorbidity are determining factors in the overall and relative survival of patients with follicular lymphoma

R-CHOP treatment for patients with advanced follicular lymphoma: Over 15-year follow-up of JCOG0203

Anti-CD20 antibody in combination with chemotherapy extends overall survival (OS) in untreated advanced-stage follicular lymphoma (FL), yet the optimal associated therapy is unclear. Data on the cumulative incidence of secondary malignancies postrelapse after conventional immunochemotherapy are scarce. A long-term analysis of rituximab combined with cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) as first-line treatment was conducted in a randomised clinical trial. A six-cycle R-CHOP regimen was administered every 2 or 3 weeks without rituximab maintenance. A prespecified evaluation was conducted 15 years after the completion of enrolment, following initial analysis results that showed no significant differences in outcomes at the 3-year mark. In-depth analyses were performed on the cohort of 248 patients with FL who were allocated to the two treatment arms. With a median follow-up period of 15.9 years, the 15-year OS was 76.2%. There were no protocol treatment-related deaths, nor were there any fatal infections attributable to subsequent lymphoma treatment. At 15 years, the cumulative incidence of non-haematological and haematological malignancies was 12.8% and 3.7% respectively. Histological transformation appeared after a median of 8 years. R-CHOP maintains safety and efficacy in patients with advanced FL over extended follow-up, making it a viable first-line option for patients with advanced-stage FL.

Novel targeted drugs for follicular and marginal zone lymphoma: a comprehensive review

Although mostly incurable, indolent non-Hodgkin lymphomas (iNHL) are chronic diseases with a median overall survival approaching 20 years. In recent years, important advances in the knowledge of the biology of these lymphomas have led to the development of new drugs, mostly chemotherapy-free, with promising outcomes. With a median age of around 70 years at diagnosis, many patients with iNHL suffer from comorbid conditions that may limit treatment options. Therefore, nowadays, in the transition towards personalized medicine, several challenges lie ahead, such as identifying predictive markers for the selection of treatment, the adequate sequencing of available therapies, and the management of new and accumulated toxicities. In this review, we include a perspective on recent therapeutic advances in follicular and marginal zone lymphoma. We describe emerging data on approved and emerging novel therapies, such as targeted therapies (PI3K inhibitors, BTK inhibitors, EZH2 inhibitors), monoclonal antibodies and antibody-drug conjugates. Finally, we describe immune-directed approaches such as combinations with lenalidomide or the even more innovative bispecific T-cell engagers and chimeric antigen receptor T-cell therapy, which can achieve a high rate of durable responses with manageable toxicities, further obviating the need for chemotherapy.

Past, present and future of prognostic scores in follicular lymphoma

Although most follicular lymphoma (FL) patients have prolonged survival, the identification of those at risk of early progression, multiple relapses or histological transformation is essential for the improvement of long-term outcomes. In this sense, a plethora of prognostic indexes have been developed in the last decades. However, determining which one is more accurate and clinically meaningful remains a challenge. Key factors for the external validity of available indexes include characteristics of the study population, treatment intervention, and design of the study. While initial risk scores were composed of clinical, biochemical, and hematological variables, genomic and imaging data have been incorporated in recent years. Despite an obvious step forward in the knowledge of the natural history and biology of FL, predictions remain inaccurate. Further research will likely incorporate information from circulating tumor DNA and artificial intelligence models to refine the prognostic classification of the heterogeneous FL population.