Literature DB >> 35910501

An Approach to Diagnosis of Richter Transformation in Chronic Lymphocytic Leukemia.

Jackie Broadway-Duren1.   

Abstract

Richter transformation (RT) is the development of high-grade lymphoma in patients with B-cell chronic lymphocytic leukemia (CLL) and small lymphocytic lymphoma (SLL). CLL/SLL is a heterogenous disease with a highly variable clinical course. Disease progression in patients with CLL continues to occur even in the era of novel therapies. A small percentage of CLL patients will develop aggressive histologic transformation to diffuse large B-cell lymphoma (DLBCL), commonly known as RT. It is known that certain genetic aberrations predispose patients to RT, including mutations in NOTCH1, TP53, CDKN2A, and unmutated IGHV somatic mutations. Historically, challenges existed in making a definitive diagnosis of RT. More recently, clonal relationships between the underlying CLL and DLBCL-RT are primarily diagnosed by sequencing immunoglobulin genes. Yet, RT continues to present challenges to health-care providers in managing patients with CLL/SLL, even with novel agents. This article aims to increase advanced practitioner awareness of predictive factors for RT, clinical manifestations, and diagnostic criteria to promote early recognition and intervention. Advanced practitioners need to be cognizant of clinical signs of RT and of diagnostic criteria for an appropriate and rapid diagnosis. In doing so, the advanced practitioner can promote early diagnosis and intervention, which may improve patient outcomes, given the dismal prognosis of RT.
© 2022 Harborside™.

Entities:  

Year:  2022        PMID: 35910501      PMCID: PMC9328456          DOI: 10.6004/jadpro.2022.13.5.7

Source DB:  PubMed          Journal:  J Adv Pract Oncol        ISSN: 2150-0878


Chronic lymphocytic leukemia (CLL) is a chronic incurable heterogenous B-cell disease with a highly variable clinical course (Ding, 2018; Rosati et al., 2018; Khan et al., 2018). Richter transformation (RT) is defined as a histologic transformation of CLL to an aggressive lymphoma known as diffuse large B-cell lymphoma (DLBCL; Wang & Ding, 2020; Pula et al., 2019). Additionally, the 2008 World Health Organization (WHO) defined RT as the transformation of CLL into a more aggressive lymphoma. Richter transformation occurs due to dysregulation of signaling pathways of CLL cells (Khan et al., 2018; Kohlhaas et al., 2021). Based on histologic findings, two main types of RT are identified: DLBCL occurring in 80% to 90% of RT cases and classical Hodgkin lymphoma (Gángó et al., 2022). Gángó and colleagues (2022) also indicate rare instances where transformation to plasmablastic lymphoma may occur.

INCIDENCE

Wang and Ding (2020) suggest that approximately 2% to 10% of CLL patients will develop aggressive histologic transformation to DLBCL, which is known as RT. Wang and Ding (2020) further note that 3% to 25% of patients who are treated with novel agents develop RT. They theorize that TP53 disruption, genomic disequilibrium, and alterations in BCR signaling, coupled with an increased PD-L1 expression and T-cell consumption, are contributing factors in the development of RT in CLL patients treated with novel targeted agents. Pula and colleagues (2019) propose the increased transformation rate annually in CLL patients may be attributed to some patients having preexisting RT prior to initiation of novel therapies compared with all CLL patients. Historically, prior to novel agents such as the Bruton tyrosine kinase (BTK) inhibitor, ibrutinib (Imbruvica), and B-cell lymphoma 2 (BCL-2) inhibitor venetoclax (Venclexta), the reported transformation rate of RT was 0.5% to 1% per year (Ding, 2018). Pula and colleagues (2019) asserted the incidence of RT occurring in up to 10% of all CLL patients with an annual rate estimated at approximately 0.5% to 1%. Diffuse large B-cell lymphoma accounts for approximately 90% of RT cases, while Hodgkin lymphoma variants are also identified (Al-Sawaf et al., 2021; Gángó et al., 2022; Jamroziak et al., 2015). The incidence of RT for ibrutinib ranges from 0.8% to 8%, while a higher incidence of RT for venetoclax monotherapy was up to 16% (Pula et al., 2019). Median age at diagnosis was 69 years (Wang & Ding, 2020). Al-Sawaf and colleagues (2021) reported a pooled analysis of clinical, laboratory, and genetic data from the German CLL Study Group (GCLLSG). The reported data included frequency, characteristics, and patient outcomes in those with RT. The authors found that of 2,975 patients with advanced CLL who were reviewed for incidence of RT, 103 (3%) patients developed RT. Kaplan-Meier methodology was used to analyze data from time of initial diagnosis of CLL, initial front-line therapy, or transformation to Richter. Median overall survival after diagnosis of RT was 9 months. Median age at diagnosis was 69 years (Al-Sawaf et al., 2021).

RISK FACTORS

An increased risk of RT is associated with many clinical and molecular factors. Prior treatment with purine analogs has been theorized to contribute to RT, as well as with alemtuzumab (Campath, Lemtrada) therapy. In addition, some biological factors such as enlarged lymph node size ≥ 3 cm, absence of deletion 13q14, unmutated IGHV, and the expression of ZAP-70 and CD38 in CLL/SLL contribute to increased risk of developing RT (Gángó et al., 2022). Other risk factors for consideration include: (1) advanced Rai stage disease (III–V) or Binet stage C, (2) del(17p), (3) trisomy 12, (4) NOTCH1, (5) c-MYC, (6) germline genetics, and (7) certain aspects of CLL phase biology (Kohlhass et al., 2021; Khan et al. 2018). Gángó and colleagues (2022) describe clonal relatedness as the most important prognostic factor in RT as compared with clonally unrelated lymphomas. Clonal relatedness refers to the presence of diverse subpopulations within a tumor that possess uniqueness in their molecular characteristics, growth kinetics, and response to therapy (Gutierrez & Wu, 2019). Clonal relatedness has become more apparent through next-generation sequencing, which allows for identification of subclonal populations within the CLL cells (Gutierrez & Wu, 2019).

ASSOCIATED MOLECULAR FEATURES

Richter transformation that develops in the era of novel agents is commonly associated with adverse molecular aberrations, such as TP53 disruption (60% to 80%), and generally have poor survival outcomes (Wang & Ding, 2020; Gángó et al., 2022). Other genetic alterations that may contribute to RT include NOTCH1 (30%) mutation, CDKN2A (30%), MYC (30%), and generally unmutated somatic hypermutations (Pula et al., 2019; Rosati et al., 2018). Mutations in NOTCH1 are characterized by trisomy 12 activating NOTCH1 mutations (Rosati et al., 2018; Hampel et al., 2020). Gain-of-function NOTCH1 mutations occur in approximately 30% of CLL patients and lead to prolonged signaling (Arruga et al., 2020). SF3B1 is commonly associated with non-RT in CLL (Ding, 2018; Khan et al., 2018). Loss of CDKN2A/B occurs with or without MYC abnormalities. CDKN2A gene encodes p161NK4A causing dysregulation of TP53 (Rosati et al., 2018; Ding, 2018, Chakraborty et al., 2020). TP53 disruption is most commonly found in clonally-related RT cases (Wang & Ding, 2020; Rosati et al., 2018). Even so, unmutated IGHV status usually represents clonally-related RT in CLL (Gángó et al., 2022). Additionally, c-MYC activation results from deregulation in signaling by other genetic events (Ding, 2018). Lastly, BCL2/BCL6 rearrangements are identified in de novo RT (Khan et al., 2018). Trisomy 12 is known to contribute to RT (Abruzzo et al., 2018; Ding, 2018; Wang & Ding, 2020; Rosati et al., 2018).

CLINICAL FEATURES OF RT

Patients with concern for RT will often present with some or all of the B CLL constitutional symptoms including fever, significant fatigue, drenching night sweats, and unexplained weight loss (Khan et al., 2018). As clinicians, it is important to recognize that progressive B symptoms may represent suspicion for RT. It is equally important to proceed with a thorough history and physical examination where significantly enlarged lymph nodes (> 3 cm) are generally found. Advanced clinical manifestations in RT are described in Table 1.
Table 1

Clinical Features Suggestive of Richter Transformation

Physical featuresLaboratory features
Unexplained feverElevated LDH
Weight lossAnemia
Rapidly enlarging bulky lymph nodes ≥ 3 cmThrombocytopenia
SplenomegalyHypercalcemia
Shortness of breathBone marrow involvement

DIAGNOSTIC CRITERIA

Patients with CLL who present with unfavorable genetic aberrations on initial presentation are at risk for RT after having received therapy with chemoimmunotherapy and newer agents such as the BTK inhibitors (Wang & Ding, 2020). The 2018 International Workshop on Chronic Lymphocytic Leukemia (iwCLL) guidelines suggest testing of biomarkers on or prior to initial evaluation for RT. When RT is suspected, a series of diagnostic tests are needed to confirm the diagnosis. While flow cytometry of tissue obtained from a fine needle aspiration is suggested by some, the standard approach is a CT-guided interventional excisional biopsy of a specified lymph node (Pula et al., 2019). Whenever suspicion for RT exists, a PET-CT scan is indicated using 18F-fluorodeoxyglucose uptake prior to biopsy to determine the most appropriate nodal biopsy site, preferably with a maximum standardized uptake value (SUVmax) ≥ 10 (Al-Sawaf et al., 2021; Pula et al., 2019; Wang & Ding, 2020). Diagnosis of RT is solely confirmed through histopathologic examination of tissue biopsied from a suspected lymph node (Khan et al., 2018; Wang & Ding, 2020; Pula et al., 2019). Diagnostic criteria are summarized in Figure 1. Other etiology such as accelerated CLL and prolymphocytic leukemia may mimic RT and should be considered as differential diagnoses with suspicion of RT (Pula et al., 2019).
Figure 1

A diagnostic approach to Richter transformation. CLL = chronic lymphocytic leukemia; PLL = prolymphocytic leukemia; H&P = history and physical; CBC = complete blood count; CMP = comprehensive metabolic panel; NGS = next-generation sequencing; BM = bone marrow; IGHV = immunoglobulin heavy chain; 18FDG = 18F-fluorodeoxyglucose; SUV = standardized uptake values.

A diagnostic approach to Richter transformation. CLL = chronic lymphocytic leukemia; PLL = prolymphocytic leukemia; H&P = history and physical; CBC = complete blood count; CMP = comprehensive metabolic panel; NGS = next-generation sequencing; BM = bone marrow; IGHV = immunoglobulin heavy chain; 18FDG = 18F-fluorodeoxyglucose; SUV = standardized uptake values.

CONCLUSION

Richter transformation occurs in approximately 2% to 10% of CLL/SLL patients, particularly in those with prior treatments. The need remains for additional research on the incidence and prevalence of RT in patients treated with novel agents. The presence of certain genetic aberrations in CLL patients has shown to be predictive for transformation to Richter. It is imperative that early clinical evaluation is instituted when suspicion of RT is present. Advanced practitioners have the unique opportunity to impact patient outcomes through early recognition and diagnosis of RT.
  13 in total

Review 1.  Richter transformation in the era of novel agents.

Authors:  Wei Ding
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

Review 2.  Richter transformation of chronic lymphocytic leukemia in the era of novel agents.

Authors:  Yucai Wang; Wei Ding
Journal:  Clin Adv Hematol Oncol       Date:  2020-06

3.  Bidirectional linkage between the B-cell receptor and NOTCH1 in chronic lymphocytic leukemia and in Richter's syndrome: therapeutic implications.

Authors:  Francesca Arruga; Valeria Bracciamà; Nicoletta Vitale; Tiziana Vaisitti; Katiuscia Gizzi; Alison Yeomans; Marta Coscia; Giovanni D'Arena; Gianluca Gaidano; John N Allan; Richard R Furman; Graham Packham; Francesco Forconi; Silvia Deaglio
Journal:  Leukemia       Date:  2019-08-29       Impact factor: 11.528

4.  Clonal dynamics in chronic lymphocytic leukemia.

Authors:  Catherine Gutierrez; Catherine J Wu
Journal:  Blood Adv       Date:  2019-11-26

5.  Incidental Richter transformation in chronic lymphocytic leukemia patients during temporary interruption of ibrutinib.

Authors:  Paul J Hampel; Hua-Jay J Cherng; Timothy G Call; Wei Ding; Mahsa Khanlari; Ellen D McPhail; Roberto N Miranda; Pei Lin; Hussein A Tawbi; Alessandra Ferrajoli; William G Wierda; Nitin Jain; Sameer A Parikh
Journal:  Blood Adv       Date:  2020-09-22

Review 6.  Richter syndrome in chronic lymphocytic leukemia: updates on biology, clinical features and therapy.

Authors:  Krzysztof Jamroziak; Tamar Tadmor; Tadeusz Robak; Aaron Polliack
Journal:  Leuk Lymphoma       Date:  2015-01-21

7.  Active Akt signaling triggers CLL toward Richter transformation via overactivation of Notch1.

Authors:  Vivien Kohlhaas; Stuart James Blakemore; Mona Al-Maarri; Nadine Nickel; Martin Pal; Andreas Roth; Nadine Hövelmeyer; Stephan C Schäfer; Gero Knittel; Philipp Lohneis; Milos Nikolic; Janica L Wiederstein; Marek Franitza; Theodoros Georgomonolis; Nina Reinart; Marco Herling; Carmen Herling; Elena M Hartmann; Andreas Rosenwald; Wolfram Klapper; Reinhard Büttner; Riccardo Moia; Davide Rossi; Renzo Boldorini; Gianluca Gaidano; Lukas P Frenzel; Hans Christian Reinhardt; Jens C Brüning; Michael Hallek; Marcus Krüger; Martin Peifer; Christian P Pallasch; F Thomas Wunderlich
Journal:  Blood       Date:  2021-02-04       Impact factor: 22.113

8.  Richter transformation in chronic lymphocytic leukemia (CLL)-a pooled analysis of German CLL Study Group (GCLLSG) front line treatment trials.

Authors:  O Al-Sawaf; S Robrecht; J Bahlo; A M Fink; P Cramer; J V Tresckow; E Lange; M Kiehl; M Dreyling; M Ritgen; J Dürig; E Tausch; C Schneider; S Stilgenbauer; C M Wendtner; K Fischer; M Hallek; B Eichhorst
Journal:  Leukemia       Date:  2020-03-17       Impact factor: 11.528

9.  Trisomy 12 chronic lymphocytic leukemia expresses a unique set of activated and targetable pathways.

Authors:  Lynne V Abruzzo; Carmen D Herling; George A Calin; Christopher Oakes; Lynn L Barron; Haley E Banks; Vikram Katju; Michael J Keating; Kevin R Coombes
Journal:  Haematologica       Date:  2018-07-05       Impact factor: 9.941

Review 10.  NOTCH1 Aberrations in Chronic Lymphocytic Leukemia.

Authors:  Emanuela Rosati; Stefano Baldoni; Filomena De Falco; Beatrice Del Papa; Erica Dorillo; Chiara Rompietti; Elisa Albi; Franca Falzetti; Mauro Di Ianni; Paolo Sportoletti
Journal:  Front Oncol       Date:  2018-06-27       Impact factor: 6.244

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