Letter to the Editor
Telomerase reverse transcriptase (TERT) plays a key role in the maintenance of chromosomal ends by adding telomeric repetitions (TTAGGG) and, thus, contributes to the preservation of chromosomal stability [1]. TERT expression is typically absent in normal somatic tissues. Notable exceptions are, besides spermatogonia, germinal center B-cells [2, 3]. In contrast to non-malignant tissues, telomerase activity is present and TERT is expressed in the majority of human cancers [4]. The regulatory mechanisms behind this feature are heterogeneous and at least partially interrelated. They include TERT promoter single nucleotide variants [5], TERT locus amplifications or rearrangements [6], TERT transcriptional activation via transcription factors such as ETS1 and ETS2 [7], and epigenetic changes at the TERT promoter and the TERT hypermethylated oncological region (THOR), a region upstream of the TERT core promoter (Fig. 1A) [8]. TERT promoter DNA methylation studies in solid tumors showed a correlation of TERT transcription with high DNA methylation of the THOR and low methylation at the TERT core promoter [8–11].
TERT expression and telomerase activity vary within and between different types of B-cell lymphomas [12]. However, despite the presence of structural variants activating TERT in B-cell lymphoma, there is little detailed knowledge available regarding the DNA methylation status at the TERT promoter and THOR in B-cell lymphomas. Thus, we here focused on the analysis of the TERT promoter and THOR DNA methylation pattern in a range of lymphomas, predominantly of B-cell origin.
For this purpose, we first analyzed available DNA methylation data generated with the Infinium® HumanMethylation450 (450 K) or MethylationEPIC (EPIC) BeadChips of 156 cell lines derived from various hematolymphoid neoplasms (137 published and 19 newly generated, Supplementary Tables 1 and 2).
We observed a profound DNA methylation heterogeneity between the two CpGs present on the array, one in the core promoter (cg10896616) and one in the THOR (cg11625005). We detected higher THOR methylation compared to core promoter methylation in BL, MM, and cHL (median beta values THOR: 0.62, 0.72, 0.96 respectively; median beta values core promoter: 0.23, 0.16, 0.52 respectively, for p-values compare Supplementary Table 3) (Fig. 1, Fig. S1). Moreover, compared to all other mature B-cell lymphoma entities, cHL cell lines showed significantly higher DNA methylation of both CpGs (Fig. 1B, Supplementary Table 3). A similar DNA methylation pattern is only observed in T-cell malignancies (Fig. 1B; median beta values core promoter: T-cell leukemia 0.54, ALCL 0.72; median beta values THOR region: T-cell leukemia 0.96, ALCL 0.96) (for p-values compare Supplementary Table 3). In contrast, LCLs, CLLs, and MCLs show comparably low DNA methylation in both regions (beta value < 0.5).
We further investigated 30 CpGs in the TERT core promoter and THOR in 43 cell lines (BS cohort: 40 lymphoma cell lines and 3 LCLs; Supplementary Table 4) using a targeted bisulfite NGS approach in order to determine if the methylation of the single CpG sites on the array represent DNA methylation at the entire TERT locus (Fig. 2A). The correlation between NGS and the array-based DNA methylation analysis is high with r = 0.79 (p < 0.0001; Fig. S2A).
Again, DNA methylation segregates the cell lines into two clusters with low DNA core promoter and THOR methylation in one group (most BL, DLBCL, LCLs, and most LBCLs, avg. DNA methylation < 0.05) and higher DNA methylation at both regions in the other group. Of note, the cluster displaying higher DNA methylation values is again enriched for cHL cell lines (8/14 samples are cHL cell lines in the cluster with higher DNA methylation, 57%) compared to the cluster with lower DNA methylation (2/29 cell lines are cHL cell lines, 7%, p < 0.001, Fisher’s exact test; Fig. 2B). Besides B-cell origin cHL, also both T-cell-origin cHL cell lines (HDML-2, L-540) were grouped in the cluster with higher DNA methylation, where the majority of cHL cell lines lie.
As cHL cell lines showed the highest DNA methylation at the TERT promoter and THOR, we next aimed to analyze TERT expression in an EBV-negative subset of 7 cHL cell lines (3 published, 4 newly generated). By RNA sequencing we detected low TERT expression to correlate inversely with DNA methylation values in these cell lines (Fig. S3, Supplementary Table 5).
We next expanded our analyses to 277 primary B-cell lymphomas (69 CLL/SLL, 4 MCL, 20 MZL, 30 MALT, 79 DLBCL, 25 PCNSL, 13 FL, 13 BL, 24 MM) and 110 samples from benign B-cell and progenitor populations (Supplementary Table 1). The core promoter CpG is unmethylated in the aforementioned populations which is in agreement with the lymphoma cell line data (Figs. S1, S4, and S5). RNA expression data in primary B-cell lymphomas showed a significantly higher expression of TERT in sporadic BL compared to DLBCL (Fig. S4B).
In order to explore a potential relationship between DNA methylation patterns and DNA sequence variants, we investigated SNPs related to ETS binding sites in the TERT promoter in the BS cell line cohort. We detected the alternative G allele of the SNP rs2853669, which disrupts an ETS binding site, in 20/43 cell lines by Sanger sequencing and BS, with the results of these two methods being in complete agreement. Interestingly, again the cHL subgroup stood out by carrying the alternative G allele at this SNP in 6/10 cHL cell lines being supposedly homozygous in 3/6 cHL cell lines. Considering parental allele counts, the alternative G allele was present in 9/20 alleles in cHL (allele frequency: 0.45) as compared to other B-cell lymphoma cell lines (allele frequency: 0.22) and the general population (GnomAD rs2853669 allele frequency: 0.24; Supplementary Table 6).
We next analyzed DNA methylation at CpGs 25–26 neighboring the ETS recognition site (Fig. S6) that is disrupted by the alternative G allele of rs2853669 in the BS cohort. In line with the results reported above, BL, DLBCL, most LBCL, and LCL cell lines showed low DNA methylation of the CpGs 25–26 independent of the presence of the G allele at rs2853669 (Fig. 2 and Supplementary Table 7). Apart from the cell line U-HO1 which was lowly methylated throughout the TERT promoter region (avg. DNA methylation value: 0.01), cHL cell lines showed high methylation at the CpGs 25–26 (Fig. 2, Supplementary Table 7). The high prevalence of the ETS site-disrupting allele along with higher DNA methylation at the neighboring CpGs in cHL cell lines prompted us to investigate the allelic DNA methylation in each of the two parts of the TERT promoter in cell lines carrying rs2853669. As shown in Fig. S7, cHL cell lines with DNA methylation values higher than 0.1 demonstrate differential allelic methylation in the TERT promoter region, with the alternative G allele showing elevated DNA methylation compared to the reference allele (Fig. S7, Supplementary Table 8).
Taken together, we observe that normal benign B-cells look similar to most of the lymphomas with respect to TERT promoter methylation (Fig. S4). Outliers are BL, which shows low methylation throughout the whole TERT promoter accompanied by activated TERT transcription compared to DLBCL and cHL, which are highly methylated, especially at THOR but show lower TERT expression (Figs. S1, S3, S4, and S5). Thus, the proposal that THOR DNA hypermethylation is a prerequisite for active TERT transcription in solid cancers [11] does not translate to BL or cHL.
Sequence variants that create ETS-family transcription factor binding motifs are reported as a mechanism for the reactivation of telomerase in solid cancers, i.e., melanoma [5]. Further studies on hepatocellular cancers show that TERT mutations, especially when occurring in combination with rs28553669, are associated with high TERT promoter methylation, leading to high TERT expression and poor prognosis [13]. DNA methylation data on solid tumors containing rs2853669 but lacking further TERT promoter mutations showed low methylation of THOR in the area surrounding this SNP [11]. Contrastingly, we here observed the presence of the alternative G allele of rs28553669 among all lymphoma subentities and no obvious correlation with TERT methylation or TERT expression. Nevertheless, there seemed to be an enrichment of the alternative G allele in cHL cell lines.
Both the locus-specific DNA methylation analyses as well as the allele-specific DNA methylation analyses presented herein do not provide an unambiguous correlation between sequence variants that interfere with ETS-family transcription factor motifs and TERT promoter methylation. ETS1 is known to be downregulated in cHL [14] and upregulated in many DLBCL [15]. Thus, it is intriguing to speculate that ETS family transcription factor expression levels dominate the DNA methylation status at the TERT promoter independent of sequence variants in lymphoid neoplasms, with high ETS levels correlating in a classic “inverse” way with low DNA methylation and vice versa.
In conclusion, as compared to the TERT THOR methylation patterns and their interplay with single nucleotide variants of the TERT promoter published in solid cancers, we did not observe similar patterns in B-cell lymphomas. Therefore, we believe that TERT regulation in B-cell lymphoma is a complex process governed by many different factors of both, genetic and epigenetic origin, which likely differ from solid cancers. This might be due to the fact, that TERT expression also physiologically occurs in mature B-cells and, thus, needs to be tightly regulated during B-cell differentiation.
Supplementary information
Acknowledgements
This work has been supported by the Baden-Württemberg Stiftung gGmbH (AllEpi, ID09, S.B., and A.J.). We thank the current and former members of the tumor genetic and epigenetic groups of the Institute of Human Genetics in Ulm and Kiel, in particular Anke Bauer, Martina Maushart, Nnamdi Okeke, and Birgit Schmoll, as well as the members of the MMML and ICGC MMML-Seq networks.
Author contributions
A.G.K. generated and analyzed Sanger sequencing data, and B.S. data and interpreted results. A.F. analyzed DNA methylation array data and interpreted and visualized the results. N.R., P.B., and A.J. contributed to the development of the technology for targeted bisulfite sequencing. H.K. wrote the script for the BS data analysis and participated in the writing of the paper. E.C. analyzed RNA-Seq data. S.G., J.K., and O.A. generated cell line DNA methylation array data. S.M. generated RNA-Seq data. H.O. and H.G.D. provided reagents for this project. S.B. and R.S. conceptualized the study, interpreted the results, and supervised the work. A.G.K., A.F., R.S., and S.B. wrote the paper. All others revised and approved the final version for submission.
Competing interests
The authors declare no competing interests.
Ethics declarations
The ICGC MMML-Seq study has been approved by the Institutional Review Board of the Medical Faculty of the University of Kiel (A150/10) and Ulm (349/11), and of the recruiting centers and includes the genomic and epigenomic study of lymphoma cell lines.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Alexandra G. Kouroukli, Anja Fischer.
Supplementary information
The online version contains supplementary material available at 10.1038/s41408-023-00872-0.
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