Identification of novel fusion genes with 28S ribosomal DNA in hematologic malignancies
- Authors:
- Published online on: February 5, 2014 https://doi.org/10.3892/ijo.2014.2291
- Pages: 1193-1198
Abstract
Introduction
Fusion genes are frequently observed in hematologic malignancies and soft tissue sarcomas (1). These fusion genes are usually associated with chromosome abnormalities such as translocations, inversions, and deletions, but have also been identified in cryptic chromosome abnormalities. Fusion genes have also been identified in various solid tumors, including ETS-family fusion genes in prostate cancer (2), ETV6-NTRK3 in secretory breast cancer (3), and ALK fusion genes in lung cancer (4). Many of these fusion genes create in-frame fusion transcripts that result in the production of fusion proteins, and some of which aid tumorigenesis. These fusion proteins are often associated with disease phenotype and clinical outcome, and act as markers for minimal residual disease and indicators of therapeutic targets. However, several fusion genes that do not create in-frame fusion transcripts have also been identified. Oncogenic rearrangements of immunoglobulin (IG) or T-cell receptor (TCR) genes are well-known fusion genes, and some of these create fusion transcripts, such as 1GH-BACH2 by t(6;14)(q15;q32) in B-cell lymphoma/leukemia (5), IGH-MMSET by t(4;14)(p16.3;q32.3) (6) and Cα-IRTA1 by t(1;14)(q21;q32) (7) in multiple myeloma, and BCL11B-TRDC by inv(14)(q11.2q32.31) in T-cell acute lymphoblastic leukemia (8). Furthermore, chromosome abnormalities led to fusion transcripts in the non-coding gene PVT1 such as PVT1-NBEA and PVT1-WWOX in multiple myeloma (9), PVT1-CHD7 in small-cell lung carcinoma (10), and PVT1-MYC and PVT1-NDRG1 in medulloblastoma (11). The role of PVT1-fusions is uncertain, but they may represent another type of fusion transcript in cancer cells and possibly in normal cells.
In the present study, we unexpectedly identified additional fusion genes involving 28S ribosomal DNA (RN28S1) in hematologic malignancies.
Materials and methods
Clinical sample and cell lines
Leukemic cells from a 15-year-old boy with mixed-lineage (T/myeloid) acute leukemia having t(6;14)(q25;q32) were analyzed after obtaining informed consent from the patient’s parents. In addition, 14 B-cell non-Hodgkin’s lymphoma, 11 multiple myeloma, 4 B-cell precursor acute lymphoblastic leukemia cell lines, and 3 EB virus-transformed B-cell lines from normal healthy volunteers were analyzed; the cell lines were as described previously (5). The Institutional Review Board of Kyoto Prefectural University of Medicine approved this study.
cDNA bubble PCR
cDNA bubble PCR was used to detect the fusion partner of BCL11B, as described previously (Fig. 1) (12). Total RNA was used to generate double-stranded cDNA. Primers used were: NVAMP-1 and BCL11B-4A for first-round PCR, and NVAMP-2 and BCL11B-3A-1 for second-round PCR (Fig. 1 and Table I).
Reverse transcription (RT)-PCR
RT-PCR analysis was performed as described previously (5). Primers used for the detection of BCL11B-RN28S1 fusion transcripts were BCL11B-3A-2 and RN28S1-GA1 for first-round PCR, and BCL11B-3A-1 and RN28S1-GA2 for second-round PCR; those for IGKV3-20-RN28S1 were IGKV3-20-2F and RN28S1-GA1; and those for COG1-RN28S1 were COG1-11F and RN28S1-GA1 (Table I).
Nucleotide sequencing
Nucleotide sequences of PCR products and, if necessary, subcloned PCR products were analyzed as previously described (5).
Results
Identification of RN28S1-BCL11B fusion transcript by cDNA bubble PCR method
Leukemic cells from a patient with mixed-lineage acute leukemia having t(6;14)(q25;q32) were analyzed using fluorescence in situ hybridization analysis, and rearrangement of the B-cell leukemia/lymphoma 11B (BCL11B) gene was suggested (Fig. 2). Thus, we performed cDNA bubble PCR to identify the gene on chromosome 6q25 that was fused to the BCL11B gene on 14q32. Sequence analysis of multiple products amplified by second-round PCR of bubble PCR detected a product that contained a 34-bp sequence of BCL11B exon 3 fused to an unknown 96-bp sequence (Fig. 3A). A BLAST search revealed that the unknown sequence was 28S ribosomal DNA (RN28S1) (Fig. 4A). This fusion transcript was confirmed by RT-PCR (Fig. 3B). The transcriptional directions of the contributing genes in the fusion transcript were opposed, and the fusion point of BCL11B was within the exon (Fig. 4A). No sequences from chromosome 6q25 were identified.
Accidental detection of IGK-RN28S1 and COG1-RN28S1 fusion transcripts in B-cell malignancy cell lines
RN28S1 is one of three ribosomal DNAs encoding the 18S, 5.8S and 28S rRNAs, which exist in nucleolar organizer regions on the five acrocentric chromosomes (13p, 14p, 15p, 21p and 22p). Therefore, in this case, the RN28S1-BCL11B fusion transcript was considered not to be generated by the chromosome translocation of t(6;14)(q25;q32). Thus, we could infer that a mechanism other than chromosome abnormalities was involved in the creation of the RN28S1-BCL11B fusion transcript. To analyze whether the RN28S1-BCL11B fusion transcripts were expressed in other hematologic malignancy cell lines, RT-PCR using RN28S1 and BCL11B primers was performed. PCR products were detected in several cell lines. In the Burkitt lymphoma cell line HBL-5, a 367-bp PCR product (Fig. 3C), contained 119-bp of immunoglobulin κ variable 3-20 (IGKV3-20) exon 2 fused to an RN28S1 sequence (Fig. 4B). The multiple myeloma cell line KMS-18, amplified multiple PCR products (Fig. 3D) including a 441-bp product that resulted from a 62-bp sequence of the component of oligomeric Golgi complex 1 (COG1) gene fused to an RN28S1 sequence (Fig. 4C). These fusions both occurred within the exons of IGKV3-20 and COG1, as in the RN28S1-BCL11B fusion, and they were confirmed by RT-PCR using each specific primer (Fig. 3E and F).
Comparison of the sequence of BCL11B primer with those of IGKV3-20 and COG1 found similarities between them, with six mismatches in 20 nucleotides, suggesting that annealing of the primer to the similar sequences of IGK and COG1 made it possible to amplify these fusion genes by chance (Fig. 5). Other products amplified by RT-PCR for the detection of RN28S1-BCL11B were either the normal sequence of RN28S1 or non-specific sequences.
Discussion
In the present study, we identified three novel fusion transcripts involving RN28S1. Only one RN28S1-related fusion gene, RN28S1-BCL6, has been previously reported, and this was in a case of gastric lymphoma (13). RN28S1 is a gene that would not translate to protein, and the breakpoints in partner genes of RN28S1 were within the coding exons. Notably, BCL11B and RN28S1 were fused with opposite transcription directions. These findings suggest that fusion genes involving RN28S1 do not produce fusion proteins, but that disruption of the normal functions of fusion partners contribute to tumorigenesis in these cases.
Several studies have noted an association of ribosomal DNA (RNA) with tumorigenesis. rRNA transcription and ribosome biogenesis are controlled by several cancer-related genes through the PI3 kinase/mTOR, MYC or RAS/ERK pathways (14). Proto-oncoprotein MYC controls ribosome biogenesis through the regulation of transcription by all three RNA polymerases (15). Another cancer-related gene, nucleophosmin (NPM1), which is frequently mutated in acute myeloid leukemia with a normal karyotype and creates fusion genes with ALK in anaplastic large cell lymphoma with t(2;5) (p23;q35), is necessary for MYC-mediated rRNA synthesis (16). RN28S1 has three MYC-binding sites (17), and the breakpoints within RN28S1 in our cases were to the 5’ side of the MYC-binding sites (Fig. 6), suggesting that the RN28S1-fusion transcripts we detected are associated with tumorigenesis through the dysregulation of MYC-mediated rRNA synthesis. In other correlations of rDNA with tumorigenesis, a high frequency of rDNA rearrangements was noted in lung and colon cancers (18) and overexpression of rDNA was seen in prostatic cancer (19). The breakpoints of RN28S1 in our three cases were within an ∼600 bp region (Fig. 6); these may be related to recombinational hot spots in repetitive sequences.
The three genes fused to RN28S1 that we found in our study are related to tumorigenesis in certain types of malignancies. IGK is one of the immunoglobulin light chain genes that is frequently rearranged by chromosome translocations, such as t(2;8)(p11;q24) in B-cell malignancies (20). Rearrangement of the BCL11B gene locus is observed in T-cell malignancies, and three fusion transcripts involving BCL11B have been identified: TLX3-BCL11B fusion gene by cryptic t(5;14)(q35;q32.2) in T-ALL (21), BCL11B-TRDC by inv(14) (q11.2q32.31) in T-ALL (8) and HELIOS-BCL11B by t(2;14) (q34;q32) in adult T-cell leukemia (22). COG1 is a component of the conserved oligomeric Golgi (COG) complex, Golgi transport complex, that is involved in glycosylation reactions and vesicular transport (23). Although the COG1 gene has not been firmly associated with tumorigenesis to date, one COG family gene, COG5, was found fused to HMGA2 in uterine leiomyoma (24), suggesting a possible link with tumorigenesis. Although the fusion genes we identified in this study were not related to chromosome translocations, each gene is involved in tumorigenesis in some way, suggesting that RN28S1-related fusion genes play some roles in tumorigenesis.
Molecular analysis of ribosomal DNA is challenging due to its repetitive nature. In this study, we attempted to confirm the three fusions at the genomic level; however, genomic PCR was unsuccessful. A possible explanation for the failure of amplification of genomic junctions is the quantitative imbalance of genomic DNAs between partner genes and RN28S1 due to the ∼400 copies of ribosomal DNA in a diploid human genome. Whole-transcriptome analysis by next-generation sequencing is usually a powerful tool for the detection of fusion transcripts. However, detection of RN28S1 fusion transcripts using this method is difficult, because ribosomal RNAs, which comprises >95% of total RNA, is usually removed from total RNA prior to sequencing. While further analysis is needed to clarify the role of rDNA in tumorigenesis, our findings provide an important insight into the role of rDNA function in human genomic architecture and tumorigenesis.
Acknowledgements
We express appreciation to Akari Kazami for the outstanding technical assistance. This study was supported by a research program of the Project for Development of Innovative Research on Cancer Therapeutics (P-Direct), a Grant-in-Aid for Cancer Research from the Ministry of Health, Labor and Welfare of Japan, and a Grant-in-Aid for Scientific Research (C) from the Ministry of Education, Culture, Sports, Science and Technology of Japan.
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