Intravascular large B-cell lymphoma (IVLBCL) is a rare subtype of diffuse large B-cell lymphoma (DLBCL) that lacks lymphadenopathy and extranodal tumors.1 For diagnosis, bone marrow biopsies (BMB) and random skin biopsies (RSB) are usually performed. However, due to the small tumor cell content, false negative findings are not uncommon. In recent reports, cell-free DNA (cfDNA) could be helpful for identifying tumor-specific mutations in a variety of neoplasms including malignant lymphomas.2 Given the difficulties of diagnosis via conventional biopsies, IVLBCL may be a good candidate to which cfDNA analysis is applied to assist diagnosis. The majority of IVLBCL cases are reportedly non-germinal center B-cell-like (non-GCB).1 Thus, mutations are likely to be frequent in genes involved in the B-cell receptor (BCR)-signaling pathway, the Toll-like receptor/Interleukin-1 receptor (TLR/IL-1R) pathway, and the nuclear factor kappa B (NFκB) pathway.2–6 Here, we report that a mutational analysis of genes via liquid biopsy resulted in high diagnostic yields and effective monitoring of IVLBCL.
This study included 27 IVLBCL patients with archived samples, who were diagnosed with IVLBCL from January 2005 to May 2017 in the participating institutions. Diagnosis of IVLBCL was made at the pathology department of each institution. The study was approved by the institutional review boards of each institution, and conducted according to the Declaration of Helsinki. Tissue-derived DNAs (tdDNAs) were available in 26 out of 27 patients (Online Supplementary Figure S1). Paired cfDNAs were also available in 9 out of the 26 patients with tdDNAs. Reference genomic DNAs (gDNAs) were available in 8 out of the 9 patients. In 1 patient, only cfDNA was available.
Targeted sequencing for 8 genes (B2M, BTG2, CARD11, CD79B, MYD88, PIM1, PRDM1, and TNFAIP3) was done in 9 IVLBCL patients with paired samples based on literature data (Online Supplementary Table S1) using the Ion Torrent Personal Genome Machine (Thermo Fisher Scientific). Mutational analysis to detect MYD88 mutation c.794T>C, p.Leu265Pro, (L265P MYD88) was performed using droplet digital PCR (ddPCR) assays (Bio-Rad) for 46 samples collected from 27 patients. See Online Supplementary Methods for further information.
Patient characteristics are summarized in Table 1 and described in more detail in Online Supplementary Table S2. All cases were categorized as the non-GCB according to Hans classification (Online Supplementary Table S3). The diagnostic yield of initial RSB was 78.9% (16/21). For 1 patient with a negative result at the initial biopsy, a second RSB was performed, which led to the diagnosis of IVLBCL. Initial BMB detected infiltration of lymphoma cells in 48.1% (13/27) patients, but repetition of BMB increased successful detection rate up to 66.7% (18/27). Sensitivity of conventional diagnostic tests in our cohort largely followed the results of a prior report except for a lower detection rate in bone marrow aspiration.7 FDG PET/CT (18F-fluorodesoxyglucose positron emission tomography/computed tomography) demonstrated increased FDG uptake in 78.6% (11/14) patients.
Table 1.
We extracted cfDNAs from 10 plasma and 28 serum samples at various time points (Online Supplementary Table S4). The median concentrations were 91.3 ng/ml (range, 19.1–2900.0 ng/ml). Nine cfDNAs from 4 plasma and 5 serum samples obtained at diagnosis were analyzed in targeted sequencing.
Targeted sequencing for 8 genes in 9 patients demonstrated at least 1 mutation in CD79B, MYD88, PIM1, PRDM1, or BTG2 in both tdDNAs and cfDNAs, or only in cfDNAs (Figure 1A, 1B, and Online Supplementary Table S5). Sequencing coverage of ≥ ×100 in cfDNAs, that of ≥ ×500 in tdDNAs, and that of ≥ ×100 in reference gDNAs were 78.3–88.8%, 82.9–90.6%, and 83.1–91.5%, respectively (Online Supplementary Table S6). We identified 3 missense CD79B mutations (p.Tyr196Cys, p.Tyr196His, and p.Leu199Pro) in 6 out of 9 (66.7%) patients. All MYD88 mutations, which were found in 5 of 9 (55.6%) patients, were L265P. Sixteen missense PIM1 mutations, 2 nonsense/2 missense PRDM1 mutations, and 2 missense BTG2 mutations were each seen in 6 (66.7%), 4 (44.4%), and 2 (22.2%) patients, respectively. Mutation enrichment in WRCY motifs and/or C:G base pair implied that the PIM1 mutations were associated with aberrant somatic hypermutations (aSHM) (Online Supplementary Table S7). Importantly, variant allele frequencies (VAFs) were significantly higher in cfDNAs than in tdDNAs (mean, 39.8 % vs. 2.6%; P<0.001) (Figure 1C). In 5 patients, 15 variants were called in cfDNAs, but not in tdDNAs (Figure 1D). On the other hand, all variants detected in tdDNAs were confirmed in cfDNAs.
The ddPCR assay for L265P MYD88 was performed with all 46 samples including tdDNAs and cfDNAs. This revealed L265P MYD88 in 5/10 (50.0%) cfDNA samples and 19/36 (52.8%) tdDNA samples from 16/27 (59.3%) patients with IVLBCL (Online Supplementary Table S8). The mean VAF of L265P MYD88 in the mutation-positive samples was 49.3% (26.7–81.3%) in cfDNAs and 6.5% (0.21%–34.8%) in tdDNAs (Online Supplementary Figure S2).
Longitudinal analysis of cfDNAs was performed in 4 patients (Figure 2). L265P MYD88 was detectable in cfDNA from one patient (IVL2) 117 days before the definite diagnosis of IVLBCL, when BMB resulted in a negative pathological finding (Figure 2A). Symptoms in this patient disappeared spontaneously without any therapy after initial presentation. The mutation was also detected in cfDNAs collected during the afebrile period, although VAFs were much lower. Mutations were detectable in cfDNAs prior to definite diagnosis of relapse in 3 patients (Figure 2B–2D).
Comparative analysis of 6 cfDNA pairs extracted from serum and plasma samples (Online Supplementary Table S4) demonstrated higher concentrations and lower VAFs in serum (Online Supplementary Figure S3-S4).
Here, we described how gene mutations affecting the BCR/TLR/IL-1R/NFκB signaling pathways were frequent in patients with IVLBCL. L265P MYD88 was particularly frequent. This mutation has been detected in most cases of Waldenström macroglobulinemia1 and 22–32.5% of non-GCB type DLBCL.4,8,9 A higher rate of L265P MYD88 has been reported in some subtypes of extranodal DLBCL: primary central nervous system lymphoma (PCNSL, more than 50%), primary cutaneous DLBCL, leg-type (60%), primary testicular DLBCL, and primary breast DLBCL.1 The CD79B mutations, especially in p.Tyr196 (Y196 CD79B), were also recurrently found in our study, although the small number of samples tested limits the accuracy of an estimation of frequencies. These mutations have been reported in non-GCB nodal and extranodal DLBCL, similar to MYD88 L265P.1,8,9 PIM1 is known as a target of aberrant somatic hypermutation (aSHM), and its mutations have been reported in 43% of DLBCL.10
Our targeted sequencing data showed higher VAFs in cfDNAs than in tdDNAs. Correspondingly, the sensitivity of mutation detection with liquid biopsy was 100% for the samples from those whose tdDNAs showed positive results. Furthermore, 45% of variants (15/33) were detected only in cfDNAs, but not in tdDNAs, with targeted sequencing. In studies of liquid biopsy for both unselected DLBCL and PCNSL, tdDNA showed higher mean VAFs than cfDNA (mean VAFs in tdDNA vs. in cfDNA; 35% vs. 11% in DLBCL, 47% vs. 4.7% in PCNSL).11,12 Correspondingly, the sensitivity to detect tdDNA-identified mutations in cfDNA was lower than our current result (32% in PCNSL and 85% in DLBCL vs. 100% in IVLBCL).11,12 Based on this contrast, IVLBCL may be unusual in that cfDNA is a particularly excellent source of tumor cell-derived DNA, despite the fact that VAFs in tdDNAs were generally low due to the low tumor cell burden in the diagnostic specimens.
Because of the high sensitivity of liquid biopsy and possible high frequencies of L265P MYD88 and Y196 CD79B in IVLBCL, methods detecting these hotspot mutations in cfDNA could be highly useful diagnostic tools in the clinical setting. For example, differential diagnoses between B-cell lymphoma and other diseases are of particular value. Because these hotspots are also found in other B-cell lymphomas as described, the detection of these mutations only implies that the patient is likely to have B-cell lymphoma, without necessarily suggesting IVLBCL. However, discriminating IVLBCL from other B-cell lymphomas is often made easier by clinical manifestations including lack of lymphadenopathy and tumor formation.
In all the 3 patients, we were able to detect increasing VAFs in cfDNA prior to diagnosis of relapse (Figure 2B–2D), indicating the usefulness of liquid biopsy to monitor minimal residual disease (MRD) in some IVLBCL. Since mutation analysis via ddPCR seems to have higher sensitivity than that via next-generation sequencing,13 ddPCR may therefore enable early detection of MRD.
Previous studies reported significantly higher cfDNA concentrations in serum than in plasma during the clotting process in collection tubes.14 Lower VAFs in serum could be explained by the contamination of gDNAs from circulating leukocytes.
If these mutations were frequent in healthy, aged individuals, the risk of false positivity would have to be considered. However, this is unlikely because, in a large-scale study, L265P MYD88 and Y196 CD79B were found only in 1/12380 and 0/12380 with the cut-off value of 2%.15 Because our sequencing analysis was not comprehensive, it is possible that more suitable for mutational analysis could be found. However, we describe the prevalence of mutations in genes involved in BCR/TLR/IL-1R/NFκB signaling pathways in IVLBCL. Furthermore, our analysis suggests that tumor cell-derived DNA is abundant in serum/plasma. Therefore, liquid biopsy to detect mutations of L265P MYD88 and Y196 CD79B may provide a powerful tool for approaching diagnosis of IVLBCL.
Supplementary Material
Footnotes
Information on authorship, contributions, and financial & other disclosures was provided by the authors and is available with the online version of this article at www.haematologica.org.
References
- 1.Swerdlow SH, Campo E, Harris NL, et al. WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues. Revised 4th ed. Lyon, France: IARC, 2017. [Google Scholar]
- 2.Scherer F, Kurtz DM, Newman AM, et al. Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA. Sci Transl Med. 2016;8(364):364ra155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Davis RE, Ngo VN, Lenz G, et al. Chronic active B-cell-receptor signalling in diffuse large B-cell lymphoma. Nature. 2010;463(7277):88–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Ngo VN, Young RM, Schmitz R, et al. Oncogenically active MYD88 mutations in human lymphoma. Nature. 2011;470(7332):115–119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Compagno M, Lim WK, Grunn A, et al. Mutations of multiple genes cause deregulation of NF-kappaB in diffuse large B-cell lymphoma. Nature. 2009;459(7247):717–721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Lenz G, Davis RE, Ngo VN, et al. Oncogenic CARD11 mutations in human diffuse large B cell lymphoma. Science. 2008;319(5870):1676–1679. [DOI] [PubMed] [Google Scholar]
- 7.Matsue K, Asada N, Odawara J, et al. Random skin biopsy and bone marrow biopsy for diagnosis of intravascular large B cell lymphoma. Ann Hematol. 2011;90(4):417–421. [DOI] [PubMed] [Google Scholar]
- 8.Kim Y, Ju H, Kim DH, et al. CD79B and MYD88 mutations in diffuse large B-cell lymphoma. Hum Pathol. 2014;45(3):556–564. [DOI] [PubMed] [Google Scholar]
- 9.Kraan W, Horlings HM, van Keimpema M, et al. High prevalence of oncogenic MYD88 and CD79B mutations in diffuse large B-cell lymphomas presenting at immune-privileged sites. Blood Cancer J. 2013;3:e139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Pasqualucci L, Neumeister P, Goossens T, et al. Hypermutation of multiple proto-oncogenes in B-cell diffuse large-cell lymphomas. Nature. 2001;412(6844):341–346. [DOI] [PubMed] [Google Scholar]
- 11.Bohers E, Viailly PJ, Dubois S, et al. Somatic mutations of cell-free circulating DNA detected by next-generation sequencing reflect the genetic changes in both germinal center B-cell-like and activated B-cell-like diffuse large B-cell lymphomas at the time of diagnosis. Haematologica. 2015;100(7):e280–284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fontanilles M, Marguet F, Bohers E, et al. Non-invasive detection of somatic mutations using next-generation sequencing in primary central nervous system lymphoma. Oncotarget. 2017;8(29):48157–48168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Camus V, Sarafan-Vasseur N, Bohers E, et al. Digital PCR for quantification of recurrent and potentially actionable somatic mutations in circulating free DNA from patients with diffuse large B-cell lymphoma. Leuk Lymphoma. 2016;57(9):2171–2179. [DOI] [PubMed] [Google Scholar]
- 14.El Messaoudi S, Rolet F, Mouliere F, Thierry AR. Circulating cell free DNA: Preanalytical considerations. Clin Chim Acta. 2013;424:222–230. [DOI] [PubMed] [Google Scholar]
- 15.Genovese G, Kahler AK, Handsaker RE, et al. Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N Engl J Med. 2014;371(26):2477–2487. [DOI] [PMC free article] [PubMed] [Google Scholar]
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