Scolaris Content Display Scolaris Content Display

Anthracyclines‐containing regimens for treatment of follicular lymphoma in adults

Esta versión no es la más reciente

Contraer todo Desplegar todo

Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To compare the efficacy of anthracycline‐containing regimens to other chemotherapy regimens, in the treatment of follicular lymphoma.

Background

Description of the condition

Follicular lymphoma (FL) is the most common indolent and the second most common non‐Hodgkin's lymphoma (NHL) sub type in the Western world. It constitutes up to 30% of all NHL (NHLCP 1997), and its incidence has risen in the last decades and is currently 3.3‐3.8 cases per 100,000 patient years, in the white US population (Morton 2006). It is defined as a group of malignancies composed of follicle center cells, usually a mixture of centrocytes (cleaved cells) and centroblasts (large noncleaved cells) (Vitolo 2008).

The Revised European‐American Classification of Lymphoid Neoplasms (REAL classification) (Harris 1994), and more recently the updated World Health Organization (WHO) classification (Swerdlow 2008) propose the term follicle center lymphoma, and divide it into grades 1, 2, 3a, 3b. The grades are distinguished by the presence of predominantly small, mixed small and large, and large cells, respectively. Pathologically, according to the "Berard Criteria", the grades are defined by the number of centroblasts per high power field (Mann 1983). In grade 3a centrocytes are still present, while grade 3b involves centroblasts only. Grade 3 FL is biologically distinct from grades 1 and 2 in its clinical behavior and response to chemotherapy and is treated as aggressive lymphoma. Due to imprecision in differentiating between grade 3a and 3b, its relative infrequency and the nature of the trials involved, it is difficult to assess its natural history. Yet, some consider FL grades 1, 2, 3a as a single histologic entity, and keep it apart from grade 3b, which is treated closely to diffuse large B‐cell lymphoma (Chau 2003; Ganti 2006; Vitolo 2008). FL encompasses most malignancies previously classified as nodular lymphoma in the Working Formulation, most tumors classified as follicular center cell lymphoma in the Lukes‐Collins classification, and all cases in Kiel classification category of centroblastic/centrocytic follicular or follicular centroblastic lymphoma (Vitolo 2008).

The molecular hallmark of FL is the acquisition of translocation t(14;18) by pre‐B cells during an abnormal immunoglobulin rearrangement in the bone marrow, and the overexpression of bcl2 protein, which protects cells from apoptosis (Bendandi 2008). However, only 70% to 95% of FL patients are t(14;18) positive (Vitolo 2008), and t(14;18)‐positive cells may also be found in healthy individuals and patients with other malignancies. Staging of FL is done according to the Ann Arbor system, according to number of involved lymph‐node regions, presence of extra‐lymphatic involvement and presence of B symptoms. Stages I/II are considered early disease, while stages III/IV are considered advanced. Advanced disease is present in more than 80% of FL patients, and bone marrow involvement in more than 60% (Vitolo 2008).

Contemporary scoring systems specific for FL are the Italian Lymphoma Intergroup Index (ILI) (Federico 2000) and the more widely accepted Follicular Lymphoma International Prognostic Index (FLIPI) (Solal‐Celigny 2004). The FLIPI designates prognostic groups as having low, intermediate, or high risk based on the presence or absence of five adverse prognostic factors: age > 60 years, Ann Arbor stage III/IV, hemoglobin level < 12 g/dL, involvement of more than four nodal sites, and elevated serum LDH level. The risk of transformation is higher in patients with advanced stage and higher FLIPI. Recently, another scoring system was offered by the same group, FLIPI2, which is intended to stratify risk in the era of immunotherapy, and takes progression free survival as the principal outcome measure. It takes into account β2‐microglobulin higher than the upper limit of normal, longest diameter of the largest involved node longer than 6 cm, bone marrow involvement, hemoglobin level lower than 12 g/dL, and age older than 60 years (Federico 2009). FL has had over the years a median survival of eight to 10 years. Its course is largely unpredictable, and it may undergo more aggressive histologic and clinical transformation to aggressive lymphoma at a rate of 3%/y (Bendandi 2008), which is usually poorly responsive to chemotherapy. The median survival from transformation is about one year (Vitolo 2008). 

Treatment for FL is considered separately for early versus advanced stage disease and for newly diagnosed versus relapsed or resistant disease. Historically, advanced FL was considered incurable, with no difference in overall survival between early treatment and 'watch and wait' approach, and with relapse as a rule (Bendandi 2008). However, in recent years, new treatment approaches, and specifically the introduction of rituximab – a monoclonal anti‐CD20 antibody, have decreased transformation rate (Montoto 2007) and improved survival (Tilly 2008). Thus, the first challenge, especially in newly diagnosed patients with FL, is distinguishing those most likely to benefit from an aggressive, curative‐intent approach.

Early stage FL is curable in 30% to 40% of patients, and is usually treated with localized radiotherapy, with even better results with combined‐modality therapy (Bendandi 2008), especially in patients with high‐tumor burden (Vitolo 2008). In newly diagnosed advanced FL, observation is still an option, especially in high‐risk patients and provided there are no high tumor burden features (Horning 1984). In this case, usual indications for treatment in advanced FL are symptomatic disease, hematopoietic impairment, bulky disease or rapid lymphoma progression. Specific criteria have been established to guide initiation of therapy, such as the Groupe d'Etute des Lymphomes Folliculire (GELF) criteria (Solal‐Celigny 1993). However, at least in principal, eradication should be the initial goal in the management of most patients. In relapsing or resistant FL, salvage therapy includes chemoimmunotherapy regimens not used in first‐line therapy, radioimmunotherapy and stem cell transplantation (SCT) (Bendandi 2008; Greb 2008; Vitolo 2008).

There are no standard guidelines for the initial treatment of advanced FL. The choice of chemotherapy largely depends on many factors such as: patient’s age and performance status, comorbidity, the pace of disease, and the aim of the treatment, i.e. palliation or attempt to cure. Chemotherapy regimens may include: alkylating agents, anthracycline‐based chemotherapies, purine analogues, and regimens resembling the cyclophosphamide, vincristine, prednisone (CVP) like regimens (Vitolo 2008). The combination of rituximab with nearly any chemotherapy regimen is superior to the same chemotherapy regimen alone (Tilly 2008) as was shown in many randomized trials, and summarized in a meta‐analysis published in The Cochrane Library (Schulz 2007). Thus, the concomitant administration of rituximab and a chemotherapy regimen has rapidly become the first‐line standard of treatment in FL. It also has a role in maintenance therapy as well as in relapsed, recurrent or resistant patients (Vidal 2009). According to the National LymphoCare Study (NLCS), most FL patients in the US (regardless of staging) were treated by chemotherapy and rituximab combination, 55% of whom with rituximab, cyclophosphamide, vincristine, adriamycin, prednisone regimen (R‐CHOP), 23% with R‐CVP and 15% with fludarabine‐based regimens (Friedberg 2009). High‐dose chemotherapy followed by autologous stem cell transplantation is still a controversial modality in first‐line treatment of FL.

Response to therapy is monitored through history, physical examination, CT or FDG‐PET, and bone marrow biopsy is some patients. Complete response (CR) has been achieved when: there is no clinical evidence of disease or disease‐related symptoms; all lymph nodes are normal sized on CT scan; spleen and liver are non‐palpable and without nodules; previously involved bone marrow is negative on repeat biopsy. Partial response is defined as decrease in nodal size by at least 50% and no progression otherwise (Cheson 1999; Cheson 2007). These patients are treated as refractory disease. Molecular response, detecting minimal residual disease, by using PCR for bcl‐2/IgH translocation and clonally rearranged IgH genes, correlates well with outcome as shown by several prospective studies. It is still unclear, however, whether eradicating the t(14;18)‐bearing clone is an important goal of therapy, and is not routinely preformed (Vitolo 2008).

Description of the intervention

We are going to assess the role of anthracyclines in the treatment of follicular lymphoma.  

Anthracyclines are antibiotic drugs that are among the most important antitumor agents. They include doxorubicin (adriamycin) and daunorubicin, and the analogs idarubicin and epirubicin. Mitoxantrone is an anthracenedione, but is practically considered in this group. These drugs intercalate with DNA, directly affecting transcription and replication. Moreover, they form a tripartite complex with topoisomerase II and DNA, and inhibit the re‐ligation of broken DNA strands leading to apoptosis. They also generate free radicals that damage DNA (Goodman 2006). 

The toxic manifestations of these agents include: myelotoxicity; stomatitis; alopecia; GI disturbances; and dermatological manifestations such as "adriamycin flare" at the site of injection, facial flushing, conjunctivitis and lacrimation. Cardiac toxicity is a unique and the most important adverse event. Two types of cardiomyopathy may occur. An acute form, develops within 24 hours of treatment, and is characterized by abnormal ECG findings and even transient reduction in ejection fraction, elevation of troponin, and pericardial effusion. A subacute/chronic, cumulative dose‐related toxicity (usually above 550 mg/m2) is manifested as congestive heart failure. Its incidence ranges widely, but is approximately 7.5% at a cumulative dose above 550 mg/m2. Elderly, females, children and patients with a history of cardiac disease are at increased risk, as are patients treated with chest irradiation, and with the administration of high‐ dose cyclophosphamide or another anthracycline, and concomitant trastuzumab or paclitaxel (Outomuro 2007). 

In FL, anthracycline‐based regimens are the most frequently employed first‐line treatment in the USA, and are considerably utilized even in early stage disease (Friedberg 2009), yet there is no proof of their superiority over regimens without anthracyclines. Even trials comparing single‐agent versus combination chemotherapy including anthracyclines have not consistently shown a benefit in response, relapse rate or survival to combination therapy (Lister 1978). In some, a benefit was significant only in higher grade FL (Peterson 2003) or in elderly patients (Coiffier 1999). Furthermore, it is undetermined whether the benefit may be attributed to anthracyclines, other drugs or the combination in itself.

In a retrospective study, 633 FL patients treated with anthracycline‐containing regimens (ACR) were compared to 128 comparable patients treated with combination chemotherapy not containing anthracyclines. The former group had better complete remission, overall five‐year survival and failure‐free survival (Rigacci 2003). This stands in contrast to previous survival data of patients with low‐grade lymphoma entered to Southwest Oncology Group (SWOG) lymphoma trials, where doxorubicin‐containing treatment did not prolong the median overall survival, in comparison to less aggressive programs (Dana 1993). Most other data come from indirect comparisons, comparing treatment arms from different trials (Brandt 2001; Bendandi 2008; Tilly 2008; Vitolo 2008; Siddhartha 2009). An analysis of five consecutive studies at M.D. Anderson Cancer Center, involving advanced FL patients has shown improvement in overall and failure‐free survival over a 25‐year period (Liu 2006). The fact that all protocols involved anthracyclines underscores the methodological difficulty in comparing outcome rates in one trial with previous trials or historical cohorts, with versus without anthracyclines as is often done. Previous studies suggested that ACR are advantageous specifically among patients with grade 3 FL (Wendum 1997; Chau 2003; Ganti 2006), and show a plateau in failure‐free survival (FFS) following ACR (Bartlett 1994). As a result, the recommended treatment for patients with Grade 3 FL (both 3a and 3b) is now R‐CHOP, even in early stage disease (Buske 2008).

Why it is important to do this review

Follicular lymphoma is the most common indolent NHL, yet there is no standard guideline for its management. It has been considered an incurable progressive disease, but in recent years, implementation of combination therapy and treatment with rituximab have prolonged survival and decreased transformation rate. Anthracycline‐containing regimens are of the most prevalent first‐line therapies, especially in advanced disease, but also in limited or relapsed cases. There is no proof, however, that they are superior to other, non‐anthracycline containing regimens, or even single agent therapy. Observational studies show conflicting results and other data is based on indirect comparisons that are not reliable. However, the optimal design for assessment of interventions are randomized controlled trials. Anthracycline use is often limited to younger patients with more advanced or high grade disease, due to concern of their adverse effects, especially cardiotoxicity, although it may be diminished in face of preventive strategies (Van Dalen 2009).

In this systematic review we will assess the evidence on the role of anthracyclines in the treatment of follicular lymphoma. This question is still important in rituximab era, since the preferred combination chemotherapy used with it has not been elucidated.

Objectives

To compare the efficacy of anthracycline‐containing regimens to other chemotherapy regimens, in the treatment of follicular lymphoma.

Methods

Criteria for considering studies for this review

Types of studies

We will consider any published or unpublished randomized controlled clinical trials eligible for inclusion in this review, without language restriction.

Types of participants

We will include adult patients over 18 years, with a histologically confirmed diagnosis of follicular lymphoma, without gender or ethnicity restriction. If the trial will recruit patients with FL in addition to patients with other types of lymphoma, we will include the study and extract data for patients with FL separately. In case that data is not provided separately for FL, we will include the study and report the number of patients with FL. We will perform sensitivity analysis that will exclude studies in which the percentage of patients with FL is < 70% of evaluated patients.

We will consider all stages and grades of follicular lymphoma. We will include both trials assessing treatment‐naive patients and previously treated patients (with or without relapse). In a subgroup analysis, we will separate initial treatment from second‐line treatment.

Types of interventions

The main intervention will be an anthracycline containing regimen compared to a non‐anthracycline containing regimen, including any chemotherapy or immunochemotherapy.

We will define the interventions as follows:

  • Intervention: anthracycline containing regimens (ACR), regardless of additional agents, with or without radiotherapy.

  • Control: non‐anthracycline containing regimens (non‐ACR), as a single agent or multiple agents, regardless of dose.

We will separate all analyses for trials in which the only difference between study arms is the addition of an anthracycline ("same" comparison) and trials where different chemotherapy regimens are used in the ACR and non‐ACR arms. We will included trials including rituximab, interferon or other novel chemo‐immunotherapy will be included only if the same comparison is performed. We will exclude trials in which the control‐arm includes one of the following: watchful waiting; radiotherapy alone; high‐ dose chemotherapy with stem cell transplantation.

Anthracyclines considered in this review will include doxorubicin (adriamycin), daunorubicin, idarubicin, epirubicin mitoxantrone and pixantrone.

Types of outcome measures

We based the outcomes of this review on the revised response criteria for malignant lymphoma published in 2007 (Cheson 2007). Given that data are likely to be reported heterogeneously, we will allow for deviations from these definitions and document the study definitions.

Primary outcomes

  • Overall survival, defined as the time from entry to study until death as a result of any cause (Cheson 2007) and assessed among all patients. In addition we will assess all‐cause mortality at five and 10 years.

Secondary outcomes

  • Progression‐free survival: defined as the time from entry into a study until lymphoma progression (including relapse) or death as a result of any cause (Cheson 2007). This outcome is analyzed for all patients. We will accept other outcome definitions (e.g. excluding non‐lymphoma related deaths) as long as all patients are accounted for. We will also try to extract the number of patients with progression (progression, relapse or death from any cause) at five years out of all patients.

  • Complete response (CR): we will accept CR definitions as defined in study. In this category we will include both documented and uncertain CR (CRu).

  • Overall response rate (ORR), defined as CR + CRu + partial response (PR), as defined in study.

  • Response duration: defined as the time when criteria for response (i.e., CR or PR) are met until the first documentation of relapse or progression (Cheson 2007). This outcome is analyzed for the subgroup of patients achieving remission. We will accept other outcome definitions counting the subgroup of patients achieving remission and defining events as progression, relapse, need for treatment or death (e.g. relapse‐free survival, event‐free interval).

  • Relapse: number of patients with relapse out of those achieving CR. We will extract preferentially relapse at five years, but will accept other time points and document these.

  • Quality of life assessed using validated questionnaires.

  • Adverse events which we will define as follows.

    • Cardiotoxicity ‐ clinical: defined in the basis of symptoms failure, confirmed by an abnormal diagnostic test; subclinical: defined as either histological abnormalities according to the Billingham‐score (Billingham 1978) on myocardial biopsy; or abnormalities in cardiac function measured by echocardiography or radionuclide ventriculography.

    • Myelosupression defined as number of patients developing grade III/IV neutropenia (Miller 1981).

    • Infections, as defined in study.

    • Alopecia (Miller 1981).

    • Stomatitis (Miller 1981).

Search methods for identification of studies

We will conduct a comprehensive search with the purpose of identifying all eligible trials regardless of language, year of publication or status of publication (published in peer review journal, conference proceeding, thesis or unpublished).

Electronic searches

We will search the electronic databases of Cochrane Central Register of Controlled Trials (CENTRAL, published in The Cochrane Library, Issue 6, 2010) and MEDLINE/PubMed (from 1996 to July 2010). We have provided the different search strategies in Appendix 1 and Appendix 2. We will also search the metaRegister of Controlled Trials (mRCT) for ongoing or unpublished trials.

Searching other resources

We will search conference proceedings available from 2004 to 2010 of the following: The American Society of Hematology (ASH); European Hematology Association (EHA); American Society of Clinical Oncology (ASCO). We will scan references of all included trials.

Data collection and analysis

Selection of studies

One review author (GI) will scan the results of the search. Two review authors (GI, MP) will independently apply inclusion and exclusion criteria for possibly relevant studies.

Data extraction and management

Two review authors will independently extract the data from included trials into an electronic table (GI, MP). We will extract the following data:

Trial characteristics

  • Trial design

  • Setting and dates

  • Total duration of study

  • Duration of study follow‐up

  • Exclusion criteria

  • Statistical methods

  • Publication status

  • Funding

  • Ethical committee approval and informed consent

Risk of bias

  • We will extract data to assess the risk of bias, as specific below

Patient characteristics

  • Mean age and sex

  • Age over 60 years

  • Histologic confirmation of follicular lymphoma

  • Grade and stage (including B‐symptoms and bulky disease)

  • Bone marrow involvement

  • IPI or FLIPI score

  • Indication for initiation of therapy

  • Performance status (ECOG, Karnofsky)

  • Time from diagnosis to first treatment

  • Previous treatment

  • Other medical conditions, specifically: cardiac, hepatic or renal dysfunction.

  • Fulfillment of inclusion and exclusion criteria

Interventions

  • Setting

  • Type of chemotherapy, dose, number of cycles, possibility of dose reduction, addition of immunotherapy (type and dose) or radiation

  • Cumulative anthracycline dose, peak dose, infusion duration.

  • Administration and timing of GCSF

  • Compliance

  • Cross over and rate of completion

Outcomes

  • As defined above. We will document and report the definitions of time‐to‐event outcomes (including the population assessed, event definition and whether all‐cause or disease‐related deaths are included in the outcome).

Assessment of risk of bias in included studies

Two review authors will independently assess the risk of bias in included studies and extract the data into the electronic table. We will use a domain‐based evaluation as recommended by the Cochrane Handbook for
Systematic Reviews of Interventions
(Higgins 2009). Review authors will not be blinded to trial authors, its publication status or other study characteristics. We will assign each domain a low or high risk of bias, using the definitions provided in the Handbook (Higgins 2009). When there is insufficient information about the process, we will assign the domain an unclear risk of bias. We will assess the following domains for this review:

  • Sequence generation

  • Allocation concealment

  • Blinding of participants, personnel and outcome assessors.

  • Incomplete outcome data: we will assess the number of exclusions and attrition for the primary outcomes and define a‐priori high risk of bias when the number of randomized patients that were not included in outcome assessed was 30%.

  • Selective outcome reporting: we will assess this domain if the trial’s protocol is available and pre‐defined outcomes can be compared to those reported. In all other cases we will classify the domain as unclear, unless there is a discrepancy between the outcome results reported in the publication and those specified in its methods section (where an assignment of inadequate will be given)

  • Early stop of the trial

Measures of treatment effect

For dichotomous data (deaths, CR, adverse events) we will extract the number of patients with events and number of patients assessed, and compare study groups using risk ratios. For survival data we will extract the summary effect measures as reported in the primary study, preferably hazard ratios (HRs) with 95% confidence intervals. If HRs are not reported, we will try to calculate them from the values reported on survival curves. We will use the number of patients and events per group and P value to calculate the the HR with 95% confidence intervals, and the observed‐expected with variance (he latter to be used in the meta‐analysis). When a P value is not reported we will manually estimate the percentage of events for several time‐points (at least three) and calculate the same values from these data. This will be done using the excel spreadsheet developed by Sydes and Tierney (Tierney 2007), which is based on the methods described in Parmar 1998 and Williamson 2002.

Dealing with missing data

We will try to complement missing data regarding review‐defined outcomes and risk of bias assessment by correspondence with trial authors.

We will analyze outcomes with missing data for some patients using available data only, since we would not be able to impute missing values for time to event outcomes. For the dichotomous outcomes number of patients with progression and overall response rate, we will perform a sensitivity analysis considering all patients with missing outcome data as failed.

Assessment of heterogeneity

We will assess heterogeneity in each meta‐analysis using a Chi² test of heterogeneity and the I2 test of inconsistency. Given an expected small number of studies in each of the analyses, we will base the heterogeneity assessment mainly on the I2 test where a value greater than 50% will represent substantial heterogeneity. We will interpret the importance of the observed I2 value looking at the magnitude and the direction of effects.

Assessment of reporting biases

In analyses that include at least 10 trials we will draw funnel plots of effect estimates against study precision. We will inspect asymmetry visually and will indicate publication bias or other small study effects (Higgins 2009).

Data synthesis

We will pool risk ratios with 95% confidence intervals using a fixed effect model. Hazard ratios will be pooled according to Peto’s method. Analyses will be done in RevMan 5.

Subgroup analysis and investigation of heterogeneity

As detailed above, we will conduct a separate analysis for studies assessing directly the efficacy of anthracyclines by comparing the same chemotherapy regimens with or without the addition of an anthracycline. We will investigate heterogeneity in each analysis based on the following pre‐planned subgroup analyses.

  • FL grade 3

  • Age over 60 years

  • First‐line versus relapse or refractory

  • Regimens with or without monoclonal antibodies

  • Different anthracyclines

For the first three variables, we will also conduct meta‐regression analysis for the percentage of patients with FL grade 3 in the trial, patients' mean age and percentage of patients with relapsed or refractory disease, if enough trials will be available. Meta‐regression will be performed using Comprehensive Meta‐analysis.

Sensitivity analysis

  • Allocation concealment and blinding (see above), which have been shown to affect subjective outcomes most strongly (Wood 2008).

  • We will exclude studies in which the percentage of patients with FL is less than 70% of evaluated patients.

Given the anticipated paucity of included trials, we do not plan further sensitivity analyses.