Elsevier

Blood Reviews

Volume 41, May 2020, 100643
Blood Reviews

Review
The evolving role of translocation t(11;14) in the biology, prognosis, and management of multiple myeloma

https://doi.org/10.1016/j.blre.2019.100643Get rights and content

Abstract

Cytogenetic changes in multiple myeloma (MM) have emerged as one of the most important prognostic factors. Translocations of chromosomes 4 and 14 [t(4;14)], chromosomes 14 and 16 [t(14;16)] and deletion of chromosome 17p [del(17p)] have been incorporated in the Revised International Staging System as a measure of adverse disease biology. Ongoing research is unveiling a complex genomic landscape in MM, with new cytogenetic abnormalities important for prognosis identified and the significance of known cytogenetic changes revisited. In studies conducted before the novel agent era, t(11;14) was shown to carry standard risk for patients with MM. Findings from more recent retrospective reviews have shown that t(11;14) is associated with intermediate outcomes in patients treated with novel agents as compared with patients who have standard- or high-risk cytogenetic aberrations. MM cells with t(11;14) have a unique biology, with relatively higher expression of the antiapoptotic protein BCL2 and lower expression of MCL1, in contrast to MM cells without this translocation. Translocation t(11;14) has emerged as the first predictive marker in MM, indicating susceptibility to BCL2 inhibition. Future studies will be needed to explore if the combination of novel agents with BCL2 inhibitors can improve the prognosis of patients with t(11;14). In this article, current data on the evolving role of t(11;14) in the biology, prognosis, and treatment of MM are reviewed.

Introduction

Multiple myeloma (MM) is a plasma cell dyscrasia characterized by clonal proliferation of plasma cells and secretion of a monoclonal protein. MM is the second most common hematologic malignancy, with approximately 30,000 new cases diagnosed yearly in the United States [1]. Substantial improvements have been made in the understanding of the disease biology and in diagnosis and prognostication of MM [[2], [3], [4]]. In particular, risk stratification with the revised International Staging System (R-ISS) including cytogenetic abnormalities has become a standard prognostic tool at diagnosis [5]. Despite this, risk-adaptive or targeted therapies have remained elusive.

At the same time, outcomes for patients with MM have improved vastly during the last decade because of the advent of novel agent therapies including proteasome inhibitors (PIs) and immunomodulatory agents (IMiDs) and, more recently, monoclonal antibodies (mAbs) [[6], [7], [8], [9], [10], [11], [12], [13], [14]]. Drugs targeting prosurvival proteins of the BCL2 family have shown significant promise in the treatment of hematologic malignancies [15,16]. Venetoclax has strong biologic rationale for its use to target MM with translocation of chromosomes 11 and 14 [t(11;14)], known to have higher dependence of antiapoptotic protein BCL2 [17,18]. Here, we review the evolving role of the prognostic significance of t(11;14) and its role in the biology of MM, with a particular focus on the BCL2 family and subsequent therapeutic implications.

Section snippets

The classification of cytogenetic aberrations in MM

MM is clinically and genetically a heterogeneous disease. Primary cytogenetic changes leading to oncogenesis in MM can be broadly divided into hyperdiploidy of odd numbered chromosomes and translocations involving chromosome 14. These genetic aberrations take place during B-lymphocyte differentiation in the germinal center during class switch recombination and less commonly in pro-B cells through Dh-Jh recombination activation gene-mediated mechanisms [19]. Translocation of chromosome 14 places

Role of the BCL2 family of proteins in MM

The discovery that increased expression of the oncogene BCL2 could prevent cell death and that it is an important factor in tumor survival subsequently led to the understanding of the importance of the BCL2 family of proteins in the regulation of apoptosis at the mitochondrial membrane [[49], [50], [51]]. Programmed cell death through the intrinsic apoptotic pathway is governed by a balance between antiapoptotic (BCL2, BCLXL, BCLW, and MCL1) and proapoptotic (BAX, BAK, BIM, and BAD) proteins [52

Predictive value of t(11:14) in MM

Human myeloma cell lines and primary myeloma cells demonstrate heterogeneity with respect to BCL2, BCLXL, or MCL dependence [18,66,74]. Identification of BCL2 dependence by BH3 profiling demonstrated in vitro sensitivity to BH3 mimetics [18,74], in particular to drugs like venetoclax (ABT-199)—an oral selective BCL2 inhibitor. In one study, sensitivity of venetoclax was restricted to human myeloma cell lines carrying CCND1 translocation, with increased sensitivity corresponding to higher BCL2

Conclusions and futures directions

MM is a heterogenous disease. Increased knowledge of the heterogeneity of the underlying genetic abnormalities, clinical presentation, and the response to treatment has resulted in a paradigm shift in the understanding of MM. Approximately 15% to 20% of MM patients harbor t(11;14), which is currently classified as a standard-risk abnormality; however, this classification has been challenged in the past few years because of emerging data showing inferior outcomes observed in these patients when

Practice points

  • High-risk cytogenetic aberrations t(4;14), del(17p), and t(14;16) adversely impact prognosis of MM and are included in the Revised International Staging System

  • t(11;14) was considered to confer standard risk in studies conducted prior to novel agent use

  • In the era of novel agents, patients with t(11;14) have PFS and OS intermediate of patients with standard- and high-risk cytogenetics

  • The BCL2 protein family plays a critical role in the apoptosis of clonal plasma cells

  • MM cells harboring t(11;14)

Research agenda

1. Molecular mechanism of BCL-2 inhibition in MM and its impact on the clonal evolution.

2. Studies looking at the safety, efficacy, and optimal combinations of BCL-2 inhibitors in MM.

Author contributions

All authors contributed equally to the conception, design, and writing of the review article.

Disclosures

Agne Paner receives consulting fees and honoraria from Celgene, Takeda, Amgen, Janssen, AbbVie, Cellectar, and Oncopeptides.

Pritesh Patel receives consulting fees and honoraria from Celgene, Amgen, and Janssen.

Binod Dhakal receives honoraria from Celgene and serves on the advisory board of Takeda and Amgen.

Acknowledgments

The authors received editorial support from Swati Ghatpande, PhD and Mary Wiggin, BA of Bio Connections LLC, funded by AbbVie.

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