Immunogenetic analysis in CLL: biological and clinical relevance
Pivotal studies from the 1990s offered the first pieces of evidence for the role of immunoglobulin (IG) receptors and antigen stimulation in the natural history of chronic lymphocytic leukemia (CLL). These studies revealed the pronounced skewing of the IG gene repertoire in CLL, strongly implying a role for antigen selection in disease development.1, 2, 3, 4 In addition, they showed that the presence and load of somatic hypermutation (SHM) within the rearranged IG heavy variable (IGHV) genes of the clonotypic B-cell receptor (BcR) IG dichotomizes CLL into two broad categories: the first includes cases with no or limited SHM (‘unmutated’ CLL, U-CLL), while the second includes cases with a significant SHM load (‘mutated’ CLL, M-CLL).1, 3 Of note, within the clinical arena, IGHV mutation burden enabled the accurate prediction of the clinical course of the disease based on the level of SHM within the expressed IGHV genes.5, 6 It has subsequently been shown that U-CLL is markedly different from M-CLL not only regarding the clinical course, but also in terms of biological features: the former is associated with adverse prognostic genomic aberrations, increased BcR signaling capacity, shorter time to progression and an overall inferior outcome compared to M-CLL.7
In hindsight, these studies represent true landmarks in the understanding of CLL, forming the cornerstone for an immunologically oriented view of CLL ontogeny and evolution. Indeed, rather than focusing only on genomic lesions, as is the norm for most cancers including almost all other lymphoid malignancies, these studies highlighted the critical role of the BcR IG, thus opening new directions for research into CLL-microenvironment interactions that have led to a more comprehensive appreciation of the biological heterogeneity of CLL.8, 9, 10
An important milestone in the timeline of CLL-focused immunogenetic research was the observation that one-third of CLL patients carry (quasi)identical, also refered to as stereotyped BcR IGs, and can be classified into subsets defined by distinctive sequence motifs within the IG variable heavy complementarity-determining region 3 (VH CDR3).11, 12, 13 Mounting evidence suggests that patients assigned to the same subset have similar biological features (for example, signaling capacity14, 15 and genomic aberration profiles16, 17, 18, 19) and clinical course, often differing significantly from other patients within the same SHM category.20, 21, 22 On these grounds, it has been proposed that patient classification based on BcR IG stereotypy can supersede the more generic categorization into U-CLL versus M-CLL, at least for major subsets. For instance, stereotyped subset #2 (IGHV3-21/IGLV3-21) has emerged as a prototype of aggressive disease independently of the SHM load.23
Additional evidence for the importance of immunogenetic analysis in CLL was provided by three recent independent studies demonstrating that the SHM status of the IGHV genes was associated with a particular clinical response to chemoimmunotherapy regimens in both clinical trials and general practice, such as the FCR (fludarabine/cyclophosphamide/rituximab) combination. More specifically, fit M-CLL patients treated with FCR (especially those lacking del(17p) and/or del(11q)) experienced more prolonged responses, delayed progression and a significant improvement in overall survival compared to U-CLL patients who received the same treatment.24, 25, 26 Determining the SHM level is therefore important, not only for general assessment of the disease course in CLL, but also for guiding treatment decisions: put simply, it is not only a prognostic test, but also a predictive test for the use of certain therapies, such as FCR. This will likely have important implications in the near future due to the emergence of novel treatments and will impact the clinical management of patients with CLL.
Setting standards for immunogenetic analysis in CLL: past and ongoing ERIC initiatives
ERIC, the European Research Initiative on CLL (www.ericll.org) has been at the forefront of immunogenetic research in CLL. The first ERIC recommendations for the determination of IGHV gene mutational status in CLL were published in 2007.27 They were subsequently complemented by instructions detailing how to handle analytically challenging cases or cases difficult to categorize.28 In addition, since 2007, ERIC provides the community with an expert online forum (www.ericll.org/services/) to discuss general queries on IG gene sequence interpretation in CLL, or to analyze and provide advice about actual IG gene rearrangement sequences that can be difficult to interpret in everyday practice. More recently, ERIC participated in the development of the ARResT/AssignSubsets bioinformatics tool, which is freely available online, and enables one to robustly and easily determine whether a particular IGHV-IGHD-IGHJ gene rearrangement belongs to one of the so-called ‘major’ (that is, largest) CLL stereotyped subsets.29
To improve the quality of IG gene sequence analysis in CLL within the international research community, ERIC has organized educational workshops on the topic (2009–2016: Uppsala, Paris, Thessaloniki, Stresa, Brno, Uppsala). Furthermore, it has established the IG Network with the main objective of harmonizing IG gene sequence analysis in CLL to ensure that results are reliable and comparable among different laboratories, hence promoting optimal patient care (www.ericll.org/pages/networks/ignetwork). In this context, very recently, ERIC also started periodic (biannual) rounds of certification of IG gene sequence analysis in CLL to disseminate expertise in reliable IG sequence analysis (www.ericll.org/pages/ighv-certification). Thirty-seven diagnostic laboratories from 17 different countries in Europe and Australia have already participated in the first certification round and passed this test.
Update of the ERIC recommendations for immunogenetic analysis in CLL
Capitalizing on many years of active involvement in this field combined with the experience gained from the activities mentioned above, we recently critically discussed all aspects of immunogenetics for diagnostic purposes in CLL, bearing in mind new knowledge available, and reached a consensus on the essential requirements necessary for reliable and reproducible IG gene analysis and interpretation of CLL-specific IGHV-IGHD-IGHJ gene rearrangements. The updated ERIC recommendations are listed in Tables 1 and 2. In the sections that follow, we will focus on the most critical revisions and additions to the original recommendations from 2007.27
Primers
Only the use of leader primers allows for the amplification of the entire sequence of the rearranged IGHV gene, thus enabling the true and complete level of SHM to be determined, and is the recommended choice. The use of primers annealing to the VH FR1 or even more downstream parts of the VH domain (for example, the VH FR2 or VH FR3) is not acceptable for determining the SHM status: in these cases, an insufficient portion of the IG gene rearrangement will be amplified, thus potentially obscuring or preventing the true level of SHM from being determined since the total number of IGHV SHMs may be underestimated. That said, in rare cases when leader primers are unsuccessful at providing a product that can be sequenced and VH FR1 primers are used (not generally recommended), the report should indicate that the use of VH FR1 primers might underestimate the total number of IGHV SHMs.
Sequence alignment and annotation
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1
Alignment tool and database. The user sequence is analyzed using IMGT/V-QUEST, the analysis tool for rearranged nucleotide sequences of IMGT, the international ImMunoGeneTics information system (www.imgt.org). IMGT/V-QUEST (up to 50 per batch online) provides the identification of the closest germ line V and J genes and alleles, and comprises the results of the integrated IMGT/JunctionAnalysis for the detailed analysis of the junction and the identification of the D genes and alleles for IGH gene rearrangements.
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2
Nomenclature. The IMGT/V-QUEST reference directory against which the user sequences are analyzed includes the sequences of the germ line IMGT V, D and J genes and alleles, approved by the Human Gene Nomenclature Committee, endorsed by NCBI and at the origin of Immunoinformatics (journal.frontiersin.org/article/10.3389/fimmu.2014.00022/full).
IMGT/V-QUEST terms and standards for CLL sequence analysis interpretation are detailed in Supplementary Material.
Reporting the results of immunogenetic analysis in CLL
As for every diagnostic test, rigorous standards and meticulous attention to details are of utmost importance. Therefore, every laboratory report should:
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1
List the identified IGHV, IGHD and IGHJ genes and alleles. Occasionally, reliable IGHD gene assignment is difficult or impossible, especially in rearrangements with short VH CDR3 sequences and/or due to multiple SHM; this should be clearly stated in the report (‘IGHD gene and allele assignment: not possible’), but without raising any concern or flagging as an important detail.
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2
State whether the particular IGHV-IGHD-IGHJ gene rearrangement is productive or unproductive. Essential criteria for considering a rearrangement as productive include the utilization of a functional IGHV gene and an in-frame VDJ junction bearing the anchors of the VH CDR3, namely cysteine C104 (2nd-CYS) and tryptophan W118 (J-TRP) (the latter part of the W-G-X-G motif of the J-REGION in VH FR4). For unproductive rearrangements, the underlying reason (for example, out-of-frame junction or stop codon) should be mentioned. Before reporting an unproductive rearrangement as a definitive result in clinical routine, one should take particular attention to carefully review the flow cytometry result for the presence of surface immunoglobulin, as well as the sequence at the nucleotide level and the chromatogram, and make additional attempts on either the same or different starting material using the same or different primer sets to exclude technical flaws during the initial amplification, sequencing or immunoinformatic analytical steps.
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3
Specify the percentage of identity of the identified rearranged IGHV gene and allele to its closest germ line counterpart.
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4
State whether the identified productive IG gene rearrangement leads to membership of a major stereotyped subset. Considering ever-increasing evidence about the clinical implications of BcR IG stereotypy, at least for certain major stereotyped subsets,10, 11, 12 the IG Network advises everyone to analyze the clonal IGHV-IGHD-IGHJ gene rearrangement for possible membership in aggressive (major) subsets. Particular attention should be given to the identification of subset #2 (IGHV3-21/IGL3-21) as most cases belonging to this subset would be otherwise reported as M-CLL, given the presence of a moderate level of SHM, usually leading to an identity to the germ line below the 98% cutoff. It is now well established that patients belonging to subset #2 have an inferior outcome, similar to U-CLL patients and patients with TP53 aberrations.12 Membership in other major stereotyped subsets can also be explicitly reported, namely the aggressive #1 (IGHV clan I genes/IGKV1(D)-39) and #8 (IGHV4-39/IGKV1(D)-39), the latter also associated with the highest risk for Richter’s transformation among all CLL, as well as subset #4 (IGHV4-34) that includes a subgroup of patients with a particularly indolent form of CLL and rarely in need of treatment, which might be relevant for both patients and physicians alike.10 Membership to any of these subsets can be investigated using the ARResT/AssignSubsets tool, whereby users submit their FASTA sequences and a report is generated with IMGT/V-QUEST results and subset assignment along with an assignment confidence level ranging from ‘borderline’ to ‘extreme’. Users are urged to use caution and their best judgement, or ask for advice, especially for clinical use of, for example, ‘borderline’- or ‘low’-confidence assignments. The tool together with comprehensive background and instructions are available at http://tools.bat.infspire.org/arrest/assignsubsets/.
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5
Provide a concise overall assessment of the clinical implications of the immunogenetic results; several examples and templates are provided as Supplementary Material. The following issues merit special consideration:
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i
Cases with a single unproductive rearrangement, apparent double rearrangements or lacking VH CDR3 anchors (overall frequency: ~3% of cases).28 In these instances, the report should include a relevant statement, depending on the particular type of ‘issue’, following the published ERIC recommendations for reliable interpretation of problematic cases28, 30 and/or by consulting the online ERIC Review Board (www.ericll.org/services/).
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ii
Cases with IGHV gene rearrangements with ‘borderline’ identity to the closest germ line counterpart. Classification into the M-CLL or U-CLL category should always be based on the established 98% cutoff value for identity to the germ line (M-CLL: <98%; U-CLL: 98–100%). That notwithstanding, for cases close to the cutoff (for example, 97–97.99%), caution is warranted regarding the precise prognostic implications31 and a statement to this effect should be included in the report (for example, ‘Following the 98% cutoff value for discriminating between IG-mutated or IG-unmutated CLL cases, the SHM status of this particular rearranged IGHV gene is borderline. The clinical implications remain to be elucidated’).
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i
Concluding remarks
The BcR IG sequence is the ideal clonal marker for CLL: it is present from the birth of every CLL clone and in contrast to other markers, most notably genomic aberrations, remains stable over time and unaffected by disease evolution. Recent evidence has reinforced the important prognostic/predictive value of immunogenetic analysis in CLL, while also highlighting the need to move from the mere determination of IGHV gene mutational status to a more comprehensive assessment of the IGHV-IGHD-IGHJ gene rearrangement including stereotyped subset assignment, at least in for certain cases.
ERIC has pioneered the adoption of good practices and will continue to strive to ensure reliable immunogenetic analysis in CLL for the benefit of patients. That said, this topic is far from being exhausted, especially due to the advent of novel analytical approaches, that is, high-throughput sequencing, necessitating further efforts for standardization, currently an unmet need and the focus of an ongoing initiative within ERIC.
Change history
24 May 2017
The supplementary information has been updated since Advance Online Publication
References
Fais F, Ghiotto F, Hashimoto S, Sellars B, Valetto A, Allen SL et al. Chronic lymphocytic leukemia B cells express restricted sets of mutated and unmutated antigen receptors. J Clin Invest 1998; 102: 1515–1525.
Johnson TA, Rassenti LZ, Kipps TJ . Ig VH1 genes expressed in B cell chronic lymphocytic leukemia exhibit distinctive molecular features. J Immunol 1997; 158: 235–246.
Schroeder HW Jr, Dighiero G . The pathogenesis of chronic lymphocytic leukemia: analysis of the antibody repertoire. Immunol Today 1994; 15: 288–294.
Hashimoto S, Dono M, Wakai M, Allen SL, Lichtman SM, Schulman P et al. Somatic diversification and selection of immunoglobulin heavy and light chain variable region genes in IgG+ CD5+ chronic lymphocytic leukemia B cells. J Exp Med 1995; 181: 1507–1517.
Damle RN, Wasil T, Fais F, Ghiotto F, Valetto A, Allen SL et al. Ig V gene mutation status and CD38 expression as novel prognostic indicators in chronic lymphocytic leukemia. Blood 1999; 94: 1840–1847.
Hamblin TJ, Davis Z, Gardiner A, Oscier DG, Stevenson FK . Unmutated Ig V(H) genes are associated with a more aggressive form of chronic lymphocytic leukemia. Blood 1999; 94: 1848–1854.
Vardi A, Agathangelidis A, Sutton LA, Ghia P, Rosenquist R, Stamatopoulos K . Immunogenetic studies of chronic lymphocytic leukemia: revelations and speculations about ontogeny and clinical evolution. Cancer Res 2014; 74: 4211–4216.
Burger JA, Chiorazzi N . B cell receptor signaling in chronic lymphocytic leukemia. Trends Immunol 2013; 34: 592–601.
Packham G, Krysov S, Allen A, Savelyeva N, Steele AJ, Forconi F et al. The outcome of B-cell receptor signaling in chronic lymphocytic leukemia: proliferation or anergy. Haematologica 2014; 99: 1138–1148.
Sutton LA, Rosenquist R . The complex interplay between cell-intrinsic and cell-extrinsic factors driving the evolution of chronic lymphocytic leukemia. Semin Cancer Biol 2015; 34: 22–35.
Agathangelidis A, Darzentas N, Hadzidimitriou A, Brochet X, Murray F, Yan XJ et al. Stereotyped B-cell receptors in one-third of chronic lymphocytic leukemia: a molecular classification with implications for targeted therapies. Blood 2012; 119: 4467–4475.
Messmer BT, Albesiano E, Efremov DG, Ghiotto F, Allen SL, Kolitz J et al. Multiple distinct sets of stereotyped antigen receptors indicate a role for antigen in promoting chronic lymphocytic leukemia. J Exp Med 2004; 200: 519–525.
Stamatopoulos K, Belessi C, Moreno C, Boudjograh M, Guida G, Smilevska T et al. Over 20% of patients with chronic lymphocytic leukemia carry stereotyped receptors: pathogenetic implications and clinical correlations. Blood 2007; 109: 259–270.
Gounari M, Ntoufa S, Apollonio B, Papakonstantinou N, Ponzoni M, Chu CC et al. Excessive antigen reactivity may underlie the clinical aggressiveness of chronic lymphocytic leukemia stereotyped subset #8. Blood 2015; 125: 3580–3587.
Ntoufa S, Papakonstantinou N, Apollonio B, Gounari M, Galigalidou C, Fonte E et al. B cell anergy modulated by TLR1/2 and the miR-17 approximately 92 cluster underlies the indolent clinical course of chronic lymphocytic leukemia stereotyped subset #4. J Immunol 2016; 196: 4410–4417.
Mansouri L, Sutton LA, Ljungstrom V, Bondza S, Arngarden L, Bhoi S et al. Functional loss of IkappaBepsilon leads to NF-kappaB deregulation in aggressive chronic lymphocytic leukemia. J Exp Med 2015; 212: 833–843.
Navrkalova V, Young E, Baliakas P, Radova L, Sutton LA, Plevova K et al. ATM mutations in major stereotyped subsets of chronic lymphocytic leukemia: enrichment in subset #2 is associated with markedly short telomeres. Haematologica 2016; 101: e369–e373.
Rossi D, Spina V, Bomben R, Rasi S, Dal-Bo M, Bruscaggin A et al. Association between molecular lesions and specific B-cell receptor subsets in chronic lymphocytic leukemia. Blood 2013; 121: 4902–4905.
Sutton LA, Young E, Baliakas P, Hadzidimitriou A, Moysiadis T, Plevova K et al. Different spectra of recurrent gene mutations in subsets of chronic lymphocytic leukemia harboring stereotyped B-cell receptors. Haematologica 2016; 101: 959–967.
Baliakas P, Hadzidimitriou A, Sutton LA, Minga E, Agathangelidis A, Nichelatti M et al. Clinical effect of stereotyped B-cell receptor immunoglobulins in chronic lymphocytic leukaemia: a retrospective multicentre study. Lancet Haematol 2014; 1: e74–e84.
Stamatopoulos K, Agathangelidis A, Rosenquist R, Ghia P . Antigen receptor stereotypy in chronic lymphocytic leukemia. Leukemia 2017; 31: 282–291.
Strefford JC, Sutton LA, Baliakas P, Agathangelidis A, Malcikova J, Plevova K et al. Distinct patterns of novel gene mutations in poor-prognostic stereotyped subsets of chronic lymphocytic leukemia: the case of SF3B1 and subset #2. Leukemia 2013; 27: 2196–2199.
Baliakas P, Agathangelidis A, Hadzidimitriou A, Sutton LA, Minga E, Tsanousa A et al. Not all IGHV3-21 chronic lymphocytic leukemias are equal: prognostic considerations. Blood 2015; 125: 856–859.
Fischer K, Bahlo J, Fink AM, Goede V, Herling CD, Cramer P et al. Long-term remissions after FCR chemoimmunotherapy in previously untreated patients with CLL: updated results of the CLL8 trial. Blood 2016; 127: 208–215.
Rossi D, Terzi-di-Bergamo L, De Paoli L, Cerri M, Ghilardi G, Chiarenza A et al. Molecular prediction of durable remission after first-line fludarabine-cyclophosphamide-rituximab in chronic lymphocytic leukemia. Blood 126: 1921–1924.
Thompson PA, Tam CS, O'Brien SM, Wierda WG, Stingo F, Plunkett W et al. Fludarabine, cyclophosphamide, and rituximab treatment achieves long-term disease-free survival in IGHV-mutated chronic lymphocytic leukemia. Blood 2016; 127: 303–309.
Ghia P, Stamatopoulos K, Belessi C, Moreno C, Stilgenbauer S, Stevenson F et al. ERIC recommendations on IGHV gene mutational status analysis in chronic lymphocytic leukemia. Leukemia 2007; 21: 1–3.
Langerak AW, Davi F, Ghia P, Hadzidimitriou A, Murray F, Potter KN et al. Immunoglobulin sequence analysis and prognostication in CLL: guidelines from the ERIC review board for reliable interpretation of problematic cases. Leukemia 2011; 25: 979–984.
Bystry V, Agathangelidis A, Bikos V, Sutton LA, Baliakas P, Hadzidimitriou A et al. ARResT/AssignSubsets: a novel application for robust subclassification of chronic lymphocytic leukemia based on B cell receptor IG stereotypy. Bioinformatics 2015; 31: 3844–3846.
Belessi CJ, Davi FB, Stamatopoulos KE, Degano M, Andreou TM, Moreno C et al. IGHV gene insertions and deletions in chronic lymphocytic leukemia: ‘CLL-biased’ deletions in a subset of cases with stereotyped receptors. Eur J Immunol 2006; 36: 1963–1974.
Davis Z, Forconi F, Parker A, Gardiner A, Thomas P, Catovsky D et al. The outcome of chronic lymphocytic leukaemia patients with 97% IGHV gene identity to germline is distinct from cases with <97% identity and similar to those with 98% identity. Br J Haematol 2016; 173: 127–136.
Sanchez ML, Almeida J, Gonzalez D, Gonzalez M, Garcia-Marcos MA, Balanzategui A et al. Incidence and clinicobiologic characteristics of leukemic B-cell chronic lymphoproliferative disorders with more than one B-cell clone. Blood 2003; 102: 2994–3002.
Acknowledgements
This study was supported by grants from the Swedish Cancer Society, the Swedish Research Council, Uppsala University, Uppsala University Hospital, the Lion’s Cancer Research Foundation (Uppsala), and Selander’s Foundation, Uppsala; the Ministry of Health of the Czech Republic, grant no. 16-34272A; H2020 ‘AEGLE, An analytics framework for integrated and personalized healthcare services in Europe’ and H2020 ‘MEDGENET, Medical Genomics and Epigenomics Network’ (no. 692298), both funded by the European Commission; and HARMONY, funded by the IMI2.
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Rosenquist, R., Ghia, P., Hadzidimitriou, A. et al. Immunoglobulin gene sequence analysis in chronic lymphocytic leukemia: updated ERIC recommendations. Leukemia 31, 1477–1481 (2017). https://doi.org/10.1038/leu.2017.125
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DOI: https://doi.org/10.1038/leu.2017.125
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