Mutational signatures and kataegis in pediatric B-cell precursor acute lymphoblastic leukemia

IF 14.6 2区 医学 Q1 HEMATOLOGY
HemaSphere Pub Date : 2025-05-19 DOI:10.1002/hem3.70136
Rebeqa Gunnarsson, Minjun Yang, Andrea Biloglav, Kristina B. Lundin-Ström, Henrik Lilljebjörn, Anders Castor, Thoas Fioretos, Linda Olsson-Arvidsson, Kajsa Paulsson, Bertil Johansson
{"title":"Mutational signatures and kataegis in pediatric B-cell precursor acute lymphoblastic leukemia","authors":"Rebeqa Gunnarsson,&nbsp;Minjun Yang,&nbsp;Andrea Biloglav,&nbsp;Kristina B. Lundin-Ström,&nbsp;Henrik Lilljebjörn,&nbsp;Anders Castor,&nbsp;Thoas Fioretos,&nbsp;Linda Olsson-Arvidsson,&nbsp;Kajsa Paulsson,&nbsp;Bertil Johansson","doi":"10.1002/hem3.70136","DOIUrl":null,"url":null,"abstract":"<p>Mutational single base substitution (SBS) and insertion/deletion (indel; ID) signatures are characteristic patterns of somatic mutations in cancer that may reflect underlying etiologic factors or pathogenetic mechanisms,<span><sup>1</sup></span> for example, deamination of 5-methylcytosine to thymine (SBS1), activity of the APOBEC family of cytidine deaminases (SBS2, SBS13), DNA damage caused by reactive oxygen species (ROS; SBS18), and defects of DNA replication and repair (ID1) (https://cancer.sanger.ac.uk/cosmic/signatures). In recent years, sequencing studies of B-cell precursor acute lymphoblastic leukemias (BCP ALL) have identified SBS signatures of etiological/pathogenetic importance.<span><sup>2-8</sup></span> However, much remains to be ascertained, such as ID signatures and differences in signatures between major and minor clones.</p><p>We performed whole genome sequencing (WGS) of 84 pediatric BCP ALLs with high hyperdiploidy (HeH; <i>n</i> = 23), <i>ETV6</i>::<i>RUNX1</i> (<i>n</i> = 23), <i>TCF3</i>::<i>PBX1</i> (<i>n</i> = 9), and B-other (<i>n</i> = 29) to identify SBS/ID signatures and to explore differences between major clones and minor subclones. In addition, WGS and RNA-seq were used to detect fusion genes, single gene rearrangements, single-nucleotide variants (SNVs), indels, expression patterns of gene fusions and gene mutations, and kataegic regions (i.e., localized hypermutations defined by a minimum of at least six mutations with an intermutation distance of ≤1000 bp)<span><sup>9, 10</sup></span> (Supporting Information and Table S1).</p><p>The WGS analysis revealed 230 structural variants (SVs; translocations, inversions, and deletions; Table S2): 105 were in-frame fusions (including all <i>ETV6</i>::<i>RUNX1</i> and <i>TCF3</i>::<i>PBX1</i> fusions; Figure S1), 52 out-of-frame gene fusions, and 73 single gene rearrangements. In total, 44 novel in-frame gene fusions were identified (e.g., three involving <i>PAX5</i> fused to <i>MECOM</i>, <i>RBM39</i>, and <i>STIM2</i>, respectively) (Figure S2 and Table S3). As expected, all the <i>ETV6</i>::<i>RUNX1</i> and <i>TCF3</i>::<i>PBX1</i> fusions were expressed; in contrast, only ~50% of the other in-frame fusions were transcribed, as ascertained by RNA-seq (Supporting Information and Table S2). Of the 104,618 SNVs (median 1082/case) and 1987 indels (median 21/case) identified, 791 (0.8%) SNVs and 74 (3.7%) indels occurred in exonic/splice site regions. The numbers of genomic and exonic/splice site SNVs and indels per case were highly correlated (<i>p</i> &lt; 0.0001; Figure S3), suggesting that the latter SNVs/indels are random and that many of them are “passengers.” In fact, ~30% of the exonic/splice site SNVs were considered benign by SIFT and PolyPhen, only ~20% of them were expressed, and most (77%) genes targeted by exonic/splice site SNVs/indels were non-recurrent (Table S4). Of the 128 recurrently mutated genes, <i>PAX5</i>, <i>KRAS</i>, <i>NRAS, IKZF1</i>, <i>FLT3</i>, and <i>CREBBP</i> were most frequent (Figures S4 and S5), in agreement with previous studies.<span><sup>4, 5</sup></span> Most (24/31) <i>PAX5</i> alterations (<i>PAX5</i>alt) were truncated gene fusions, frameshift indels, or larger intragenic deletions (Figure S2), emphasizing the importance of PAX5 haploinsufficiency in BCP ALL.<span><sup>11</sup></span></p><p>The most common substitution type was C &gt; T (46%), followed by C &gt; A (16%), C &gt; G (14%), T &gt; C (11%), T &gt; A (8%), and T &gt; G (5%). Their distributions did not differ significantly among the genetic subtypes, but the frequency of SNVs was higher in <i>ETV6</i>::<i>RUNX1</i> than in the other genetic subtypes and the numbers of SNVs increased by age in all subtypes except <i>TCF3</i>::<i>PBX1</i> (Figures S6–S8). Most of the indels were 1 bp deletions and ≥5 bps insertions (Figure S9).</p><p>SBS and ID signatures were identified based on the patterns of the substitutions and indels using COSMIC 3.4 (https://cancer.sanger.ac.uk/cosmic/signatures). The top mutational signatures overall, based on their absolute contributions, were SBS1, SBS13, SBS2, SBS8, SBS18, SBS40, ID9, and ID19 (Figures 1 and S10). SBS1, a clock-like signature characterized by C &gt; T transitions occurring during DNA replication, was the only signature that increased with age (Figure S11). SBS2 and SBS13 reflect increased APOBEC activity, and SBS18 is associated with ROS-induced DNA damage; the latter signature was recently reported to be enriched in core binding factor acute myeloid leukemias.<span><sup>12, 13</sup></span> The etiologies of SBS8 and SBS40 are unknown, but they are known to be common in lung cancer (https://cancer.sanger.ac.uk/cosmic/signatures). Little is known about ID signatures in hematologic malignancies, and no previous studies of BCP ALL have ascertained such signatures (https://cancer.sanger.ac.uk/signatures/id/). In this study, we show that ID9 and ID19 signatures were the only common ones in BCP ALL (Figure S10). These two are characterized by deletions of single bps and insertions of five or more bps, respectively. The etiologies of these signatures are unknown, but they are enriched in lung cancer (ID9) and hematologic malignancies and sarcomas (ID19).</p><p>In contrast to some previous studies (Table S5) reporting a high frequency of SBS5 (clock-like) in BCP ALL, this signature was not among the common ones in our study. There are several reasons for discrepancies among studies regarding signatures detected, such as the number of SNVs/cases included in the different studies, usage of restricted catalogs of SBS signatures, continuous updates of signatures in the COSMIC database, and differences in methods used for extracting and fitting the SNV trinucleotides to the signatures.<span><sup>14</sup></span> We and others<span><sup>7, 8</sup></span> used the R package MutationalPatterns (version 3.14.0) to extract signatures, whereas some studies used the SigProfilerExtractor<span><sup>4</sup></span> or the SigProfilerSingleSample.<span><sup>5, 6</sup></span> When applying the latter tool, SBS5 was enriched in our cases as well (data not shown).</p><p>The frequencies of the SBS signatures differed to some extent among the genetic subtypes (Figure 1). The most common in HeH were SBS1, SBS8, SBS18, SBS3, SBS5, and SBS40 (Figure 1). The clock-like signature SBS1 was prominent in this genetic subtype, suggesting that spontaneous, age-related mutations might play an important role in HeH. It has been reported that the ultraviolet light-associated SBS7a signature is typical for HeH and that this could be due to ultraviolet light exposure of preleukemic HeH cells in dermal blood;<span><sup>5, 6</sup></span> however, we did not find this signature to be enriched in our HeH cases. As mentioned, this may be due to different tools for extraction and fitting of signatures.</p><p>In the <i>ETV6</i>::<i>RUNX1</i> group, the most common signatures were SBS13, SBS2, SBS1, SBS8, SBS39, and SBS40 (Figure 1). SBS13 and SBS2, associated with increased activity of the APOBEC family of cytidine deaminases, have been reported to be enriched in this genetic subtype in several previous studies (Table S5). APOBEC promotes mutagenesis<span><sup>15</sup></span> and this most likely explains the higher frequency of SNVs/indels in <i>ETV6</i>::<i>RUNX1</i> (Figure S7).</p><p>The top signatures in <i>TCF3</i>::<i>PBX1</i> were SBS1, SBS40, SBS18, SBS5, SBS17b, and SBS 30 (Figure 1). There was a relatively low absolute SBS contribution in this genetic subtype, which may be explained by the fact that frequencies of SNVs in <i>TCF3</i>::<i>PBX1</i> were generally lower than in the other subtypes (Figures S7). This is also in line with the low number of driver mutations in <i>TCF3</i>::<i>PBX1</i>.<span><sup>5</sup></span> A few previous studies (Table S5) have also reported that SBS1 and SB5 are common in this subtype.</p><p>In the B-other group, SBS1, SBS18, SBS13, SBS2, and SBS40 were the most frequent signatures (Figure 1). However, considering that this group is genetically, clinically, and most likely etiologically highly heterogenous,<span><sup>16</sup></span> the overall mutational signature patterns are of less interest. Indeed, prior studies (Table S5) have reported somewhat different patterns of SBS signatures in B-other, with SBS7a (UV light exposure), SBS18 (ROS), and SBS9 (mutations induced during replication by polymerase eta) being common in some studies. Brady et al.<span><sup>5</sup></span> ascertained signatures in different subtypes of B-other and reported, for example, enrichment of SBS18 (ROS) in <i>PAX5</i>alt and <i>MEF2D</i>-rearranged cases (Table S5). We also found enrichment of SBS18 in <i>PAX5</i>alt (Figure 1), but in contrast to Brady et al.,<span><sup>5</sup></span> we found no evidence that the SBS18 signature increased by age in our patient cohort. Interestingly, the SBS18 signature was not particularly common in HeH, <i>ETV6</i>::<i>RUNX1</i>, and <i>TCF3</i>::<i>PBX1</i> cases with <i>PAX5</i>alt (Figure 1), indicating that ROS-induced DNA damage is context-dependent. Two of the B-other cases without <i>PAX5</i>alt (#68 and 80) were characterized by a high contribution of SBS2 and SBS13, similar to the <i>ETV6</i>::<i>RUNX</i>1 cases (Figure 1). Indeed, case 68 was shown by RNA-seq to be <i>ETV6</i>::<i>RUNX1</i>-like.<span><sup>17</sup></span> Unfortunately, gene expression analysis could not be performed in case 80 due to the lack of RNA; however, this case did not harbor any <i>ETV6</i> and <i>IKZF1</i> aberrations, which are frequent in <i>ETV6</i>::<i>RUNX1</i>-like cases.<span><sup>17</sup></span></p><p>We next compared SBS signatures between major and minor clones in the cases with <i>ETV6::RUNX1</i>, <i>TCF3::PBX1</i>, and B-other (Supporting Information and Figure S12); such comparisons have not been reported previously. These analyses revealed that the major clones of <i>PAX</i>5alt B-other cases were enriched for SBS18 (Figure S13), suggesting that ROS-induced DNA damage occurs early in such cases, whereas the minor subclones of <i>ETV6::RUNX1</i> had a high contribution of the SBS2 and SBS13 signatures (Figure S14), indicating that increased activity of the APOBEC family occurs later in the leukemogenic process of this subtype. Previously, van der Ham et al.<span><sup>8</sup></span> reported that the frequencies of some SBS signatures vary between diagnostic and relapse samples of BCP ALL. Together with the present data, this shows that signatures differ among major clones and minor subclones both at diagnosis and during disease progression.</p><p>None of the 84 BCP ALL cases displayed any signs of chromothripsis; thus, large numbers of localized copy number states alternations seem to be rare in BCP ALL. However, kataegic regions were detected in six (7%) of the cases (#30, 38, 41, 46, 68, and 80; Figures 2 and S15). It is noteworthy that all these cases were characterized by enrichment of the APOBEC-associated SBS2 and SBS13 signatures and that five of them were <i>ETV6::RUNX1</i> or <i>ETV6::RUNX1</i>-like (#30, 38, 41, 46, and 68). Thus, kataegis was found in five (21%) of 24 <i>ETV6::RUNX1</i>/<i>ETV6::RUNX1</i>-like cases. APOBEC-induced mutagenesis is a likely cause of regional hypermutation in these cases, as has been proposed in other cancers.<span><sup>9, 15</sup></span> Taken together, <i>ETV6</i>::<i>RUNX1</i> and <i>ETV6</i>::<i>RUNX1</i>-like cases not only have similar gene expression profiles and favorable outcomes,<span><sup>16, 17</sup></span> but the present findings show that they are also characterized by similar mutational signatures and a high frequency of kataegic regions, suggesting that their etiologies and underlying pathogenetic mechanisms may be similar.</p><p>Rebeqa Gunnarsson planned and performed research and wrote the article. Minjun Yang performed the bioinformatic analyses and wrote the article. Andrea Biloglav, Henrik Lilljebjörn, Linda Olsson-Arvidsson, Kristina B. Lundin-Ström, Thoas Fioretos, and Kajsa Paulsson performed research. Anders Castor provided patient samples and clinical data. Bertil Johansson planned the research and wrote the article. The article was reviewed and approved by all the authors.</p><p>The authors declare no conflicts of interest.</p><p>This study was funded by the Swedish Cancer Society (23 2694 Pj), the Swedish Childhood Cancer Foundation (PR2020-0033, TJ2020-0024, PR2024-0002, and PR2024-0058), the Crafoord Foundation (20230778 and 20240747), and Governmental Funding of Clinical Research within the National Health Service.</p>","PeriodicalId":12982,"journal":{"name":"HemaSphere","volume":"9 5","pages":""},"PeriodicalIF":14.6000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hem3.70136","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HemaSphere","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hem3.70136","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Mutational single base substitution (SBS) and insertion/deletion (indel; ID) signatures are characteristic patterns of somatic mutations in cancer that may reflect underlying etiologic factors or pathogenetic mechanisms,1 for example, deamination of 5-methylcytosine to thymine (SBS1), activity of the APOBEC family of cytidine deaminases (SBS2, SBS13), DNA damage caused by reactive oxygen species (ROS; SBS18), and defects of DNA replication and repair (ID1) (https://cancer.sanger.ac.uk/cosmic/signatures). In recent years, sequencing studies of B-cell precursor acute lymphoblastic leukemias (BCP ALL) have identified SBS signatures of etiological/pathogenetic importance.2-8 However, much remains to be ascertained, such as ID signatures and differences in signatures between major and minor clones.

We performed whole genome sequencing (WGS) of 84 pediatric BCP ALLs with high hyperdiploidy (HeH; n = 23), ETV6::RUNX1 (n = 23), TCF3::PBX1 (n = 9), and B-other (n = 29) to identify SBS/ID signatures and to explore differences between major clones and minor subclones. In addition, WGS and RNA-seq were used to detect fusion genes, single gene rearrangements, single-nucleotide variants (SNVs), indels, expression patterns of gene fusions and gene mutations, and kataegic regions (i.e., localized hypermutations defined by a minimum of at least six mutations with an intermutation distance of ≤1000 bp)9, 10 (Supporting Information and Table S1).

The WGS analysis revealed 230 structural variants (SVs; translocations, inversions, and deletions; Table S2): 105 were in-frame fusions (including all ETV6::RUNX1 and TCF3::PBX1 fusions; Figure S1), 52 out-of-frame gene fusions, and 73 single gene rearrangements. In total, 44 novel in-frame gene fusions were identified (e.g., three involving PAX5 fused to MECOM, RBM39, and STIM2, respectively) (Figure S2 and Table S3). As expected, all the ETV6::RUNX1 and TCF3::PBX1 fusions were expressed; in contrast, only ~50% of the other in-frame fusions were transcribed, as ascertained by RNA-seq (Supporting Information and Table S2). Of the 104,618 SNVs (median 1082/case) and 1987 indels (median 21/case) identified, 791 (0.8%) SNVs and 74 (3.7%) indels occurred in exonic/splice site regions. The numbers of genomic and exonic/splice site SNVs and indels per case were highly correlated (p < 0.0001; Figure S3), suggesting that the latter SNVs/indels are random and that many of them are “passengers.” In fact, ~30% of the exonic/splice site SNVs were considered benign by SIFT and PolyPhen, only ~20% of them were expressed, and most (77%) genes targeted by exonic/splice site SNVs/indels were non-recurrent (Table S4). Of the 128 recurrently mutated genes, PAX5, KRAS, NRAS, IKZF1, FLT3, and CREBBP were most frequent (Figures S4 and S5), in agreement with previous studies.4, 5 Most (24/31) PAX5 alterations (PAX5alt) were truncated gene fusions, frameshift indels, or larger intragenic deletions (Figure S2), emphasizing the importance of PAX5 haploinsufficiency in BCP ALL.11

The most common substitution type was C > T (46%), followed by C > A (16%), C > G (14%), T > C (11%), T > A (8%), and T > G (5%). Their distributions did not differ significantly among the genetic subtypes, but the frequency of SNVs was higher in ETV6::RUNX1 than in the other genetic subtypes and the numbers of SNVs increased by age in all subtypes except TCF3::PBX1 (Figures S6–S8). Most of the indels were 1 bp deletions and ≥5 bps insertions (Figure S9).

SBS and ID signatures were identified based on the patterns of the substitutions and indels using COSMIC 3.4 (https://cancer.sanger.ac.uk/cosmic/signatures). The top mutational signatures overall, based on their absolute contributions, were SBS1, SBS13, SBS2, SBS8, SBS18, SBS40, ID9, and ID19 (Figures 1 and S10). SBS1, a clock-like signature characterized by C > T transitions occurring during DNA replication, was the only signature that increased with age (Figure S11). SBS2 and SBS13 reflect increased APOBEC activity, and SBS18 is associated with ROS-induced DNA damage; the latter signature was recently reported to be enriched in core binding factor acute myeloid leukemias.12, 13 The etiologies of SBS8 and SBS40 are unknown, but they are known to be common in lung cancer (https://cancer.sanger.ac.uk/cosmic/signatures). Little is known about ID signatures in hematologic malignancies, and no previous studies of BCP ALL have ascertained such signatures (https://cancer.sanger.ac.uk/signatures/id/). In this study, we show that ID9 and ID19 signatures were the only common ones in BCP ALL (Figure S10). These two are characterized by deletions of single bps and insertions of five or more bps, respectively. The etiologies of these signatures are unknown, but they are enriched in lung cancer (ID9) and hematologic malignancies and sarcomas (ID19).

In contrast to some previous studies (Table S5) reporting a high frequency of SBS5 (clock-like) in BCP ALL, this signature was not among the common ones in our study. There are several reasons for discrepancies among studies regarding signatures detected, such as the number of SNVs/cases included in the different studies, usage of restricted catalogs of SBS signatures, continuous updates of signatures in the COSMIC database, and differences in methods used for extracting and fitting the SNV trinucleotides to the signatures.14 We and others7, 8 used the R package MutationalPatterns (version 3.14.0) to extract signatures, whereas some studies used the SigProfilerExtractor4 or the SigProfilerSingleSample.5, 6 When applying the latter tool, SBS5 was enriched in our cases as well (data not shown).

The frequencies of the SBS signatures differed to some extent among the genetic subtypes (Figure 1). The most common in HeH were SBS1, SBS8, SBS18, SBS3, SBS5, and SBS40 (Figure 1). The clock-like signature SBS1 was prominent in this genetic subtype, suggesting that spontaneous, age-related mutations might play an important role in HeH. It has been reported that the ultraviolet light-associated SBS7a signature is typical for HeH and that this could be due to ultraviolet light exposure of preleukemic HeH cells in dermal blood;5, 6 however, we did not find this signature to be enriched in our HeH cases. As mentioned, this may be due to different tools for extraction and fitting of signatures.

In the ETV6::RUNX1 group, the most common signatures were SBS13, SBS2, SBS1, SBS8, SBS39, and SBS40 (Figure 1). SBS13 and SBS2, associated with increased activity of the APOBEC family of cytidine deaminases, have been reported to be enriched in this genetic subtype in several previous studies (Table S5). APOBEC promotes mutagenesis15 and this most likely explains the higher frequency of SNVs/indels in ETV6::RUNX1 (Figure S7).

The top signatures in TCF3::PBX1 were SBS1, SBS40, SBS18, SBS5, SBS17b, and SBS 30 (Figure 1). There was a relatively low absolute SBS contribution in this genetic subtype, which may be explained by the fact that frequencies of SNVs in TCF3::PBX1 were generally lower than in the other subtypes (Figures S7). This is also in line with the low number of driver mutations in TCF3::PBX1.5 A few previous studies (Table S5) have also reported that SBS1 and SB5 are common in this subtype.

In the B-other group, SBS1, SBS18, SBS13, SBS2, and SBS40 were the most frequent signatures (Figure 1). However, considering that this group is genetically, clinically, and most likely etiologically highly heterogenous,16 the overall mutational signature patterns are of less interest. Indeed, prior studies (Table S5) have reported somewhat different patterns of SBS signatures in B-other, with SBS7a (UV light exposure), SBS18 (ROS), and SBS9 (mutations induced during replication by polymerase eta) being common in some studies. Brady et al.5 ascertained signatures in different subtypes of B-other and reported, for example, enrichment of SBS18 (ROS) in PAX5alt and MEF2D-rearranged cases (Table S5). We also found enrichment of SBS18 in PAX5alt (Figure 1), but in contrast to Brady et al.,5 we found no evidence that the SBS18 signature increased by age in our patient cohort. Interestingly, the SBS18 signature was not particularly common in HeH, ETV6::RUNX1, and TCF3::PBX1 cases with PAX5alt (Figure 1), indicating that ROS-induced DNA damage is context-dependent. Two of the B-other cases without PAX5alt (#68 and 80) were characterized by a high contribution of SBS2 and SBS13, similar to the ETV6::RUNX1 cases (Figure 1). Indeed, case 68 was shown by RNA-seq to be ETV6::RUNX1-like.17 Unfortunately, gene expression analysis could not be performed in case 80 due to the lack of RNA; however, this case did not harbor any ETV6 and IKZF1 aberrations, which are frequent in ETV6::RUNX1-like cases.17

We next compared SBS signatures between major and minor clones in the cases with ETV6::RUNX1, TCF3::PBX1, and B-other (Supporting Information and Figure S12); such comparisons have not been reported previously. These analyses revealed that the major clones of PAX5alt B-other cases were enriched for SBS18 (Figure S13), suggesting that ROS-induced DNA damage occurs early in such cases, whereas the minor subclones of ETV6::RUNX1 had a high contribution of the SBS2 and SBS13 signatures (Figure S14), indicating that increased activity of the APOBEC family occurs later in the leukemogenic process of this subtype. Previously, van der Ham et al.8 reported that the frequencies of some SBS signatures vary between diagnostic and relapse samples of BCP ALL. Together with the present data, this shows that signatures differ among major clones and minor subclones both at diagnosis and during disease progression.

None of the 84 BCP ALL cases displayed any signs of chromothripsis; thus, large numbers of localized copy number states alternations seem to be rare in BCP ALL. However, kataegic regions were detected in six (7%) of the cases (#30, 38, 41, 46, 68, and 80; Figures 2 and S15). It is noteworthy that all these cases were characterized by enrichment of the APOBEC-associated SBS2 and SBS13 signatures and that five of them were ETV6::RUNX1 or ETV6::RUNX1-like (#30, 38, 41, 46, and 68). Thus, kataegis was found in five (21%) of 24 ETV6::RUNX1/ETV6::RUNX1-like cases. APOBEC-induced mutagenesis is a likely cause of regional hypermutation in these cases, as has been proposed in other cancers.9, 15 Taken together, ETV6::RUNX1 and ETV6::RUNX1-like cases not only have similar gene expression profiles and favorable outcomes,16, 17 but the present findings show that they are also characterized by similar mutational signatures and a high frequency of kataegic regions, suggesting that their etiologies and underlying pathogenetic mechanisms may be similar.

Rebeqa Gunnarsson planned and performed research and wrote the article. Minjun Yang performed the bioinformatic analyses and wrote the article. Andrea Biloglav, Henrik Lilljebjörn, Linda Olsson-Arvidsson, Kristina B. Lundin-Ström, Thoas Fioretos, and Kajsa Paulsson performed research. Anders Castor provided patient samples and clinical data. Bertil Johansson planned the research and wrote the article. The article was reviewed and approved by all the authors.

The authors declare no conflicts of interest.

This study was funded by the Swedish Cancer Society (23 2694 Pj), the Swedish Childhood Cancer Foundation (PR2020-0033, TJ2020-0024, PR2024-0002, and PR2024-0058), the Crafoord Foundation (20230778 and 20240747), and Governmental Funding of Clinical Research within the National Health Service.

Abstract Image

儿童b细胞前体急性淋巴细胞白血病的突变特征和kataegis
突变单碱基替换(SBS)和插入/删除(indel;ID)特征是癌症中体细胞突变的特征性模式,可能反映潜在的病因或发病机制,例如,5-甲基胞嘧啶脱氨为胸腺嘧啶(SBS1),胞嘧啶脱氨酶APOBEC家族的活性(SBS2, SBS13),活性氧(ROS)引起的DNA损伤;SBS18),以及DNA复制和修复缺陷(ID1) (https://cancer.sanger.ac.uk/cosmic/signatures)。近年来,对b细胞前体急性淋巴母细胞白血病(BCP ALL)的测序研究已经确定了SBS的病因学/病理学意义。然而,仍有许多问题有待确定,例如ID签名以及主要克隆和次要克隆之间签名的差异。我们对84例高高二倍体(HeH;n = 23)、ETV6::RUNX1 (n = 23)、TCF3::PBX1 (n = 9)和B-other (n = 29)来识别SBS/ID签名,并探索主要克隆和次要亚克隆之间的差异。此外,WGS和RNA-seq还用于检测融合基因、单基因重排、单核苷酸变异(snv)、索引、基因融合和基因突变的表达模式,以及kataegic区域(即至少6个突变定义的局部超突变,突变间隔≤1000bp) 9,10(支持信息和表S1)。WGS分析发现230个结构变异(SVs;易位、倒位和缺失;表S2):帧内融合105例(包括所有ETV6::RUNX1和TCF3::PBX1融合;图S1), 52个框外基因融合,73个单基因重排。总共鉴定出44个新的框架内基因融合(例如,三个涉及PAX5分别与MECOM, RBM39和STIM2融合)(图S2和表S3)。如预期的那样,所有的ETV6::RUNX1和TCF3::PBX1融合表达;相比之下,通过RNA-seq确定,只有约50%的其他框内融合被转录(支持信息和表S2)。在104,618个snv(中位1082/例)和1987个索引(中位21/例)中,791个(0.8%)snv和74个(3.7%)索引发生在外显子/剪接位点区域。每个病例的基因组和外显子/剪接位点snv数量与索引高度相关(p &lt; 0.0001;图S3),表明后面的snv /索引是随机的,其中许多是“过客”。事实上,约30%的外显子/剪接位点snv被SIFT和PolyPhen认为是良性的,只有约20%的snv被表达,大多数(77%)外显子/剪接位点snv /indels靶向的基因是非复发性的(表S4)。在128个重复突变基因中,PAX5、KRAS、NRAS、IKZF1、FLT3和CREBBP是最常见的(图S4和S5),与以往的研究一致。4,5大多数(24/31)PAX5改变(PAX5alt)是截断基因融合、移码插入或较大的基因内缺失(图S2),强调了PAX5单倍不足在BCP all中的重要性。11最常见的替代类型是C &gt; T(46%),其次是C &gt; A(16%)、C &gt; G(14%)、T &gt; C(11%)、T &gt; A(8%)和T &gt; G(5%)。snv在不同遗传亚型间的分布无显著差异,但snv在ETV6::RUNX1中的频率高于其他遗传亚型,且snv的数量在除TCF3::PBX1外的所有亚型中均随年龄增长而增加(图S6-S8)。大多数索引是1 bp缺失和≥5 bps插入(图S9)。利用COSMIC 3.4 (https://cancer.sanger.ac.uk/cosmic/signatures)根据替换和索引的模式识别SBS和ID签名。根据它们的绝对贡献,总体上排名靠前的突变签名是SBS1、SBS13、SBS2、SBS8、SBS18、SBS40、ID9和ID19(图1和S10)。SBS1是一种以DNA复制过程中发生的C &gt; T转变为特征的时钟样特征,是唯一随着年龄增长而增加的特征(图S11)。SBS2和SBS13反映APOBEC活性增加,SBS18与ros诱导的DNA损伤有关;后一种特征最近被报道在核心结合因子急性髓性白血病中富集。12,13 SBS8和SBS40的病因不明,但已知它们在肺癌中很常见(https://cancer.sanger.ac.uk/cosmic/signatures)。对血液恶性肿瘤的ID特征知之甚少,而且之前没有BCP ALL的研究确定了这样的特征(https://cancer.sanger.ac.uk/signatures/id/)。在本研究中,我们发现ID9和ID19特征是BCP ALL中仅有的常见特征(图S10)。这两种基因的特征分别是单个bps的缺失和五个或更多bps的插入。这些特征的病因尚不清楚,但它们在肺癌(ID9)和血液恶性肿瘤和肉瘤(ID19)中丰富。 与之前的一些研究(表S5)报道BCP ALL中SBS5(时钟样)的高频率相反,该特征在我们的研究中并不常见。关于检测到的特征,研究之间存在差异的原因有几个,例如不同研究中包含的SNV /病例数量,SBS特征的限制目录的使用,COSMIC数据库中特征的不断更新,以及提取和拟合SNV三核苷酸的方法的差异我们和其他人使用R包MutationalPatterns(3.14.0版本)来提取签名,而一些研究使用SigProfilerExtractor4或SigProfilerSingleSample。5,6在应用后一种工具时,SBS5在我们的案例中也得到了丰富(数据未显示)。SBS特征的频率在遗传亚型之间存在一定程度的差异(图1)。在HeH中最常见的是SBS1、SBS8、SBS18、SBS3、SBS5和SBS40(图1)。时钟样特征SBS1在这种遗传亚型中很突出,这表明自发的、与年龄相关的突变可能在HeH中起重要作用。据报道,紫外光相关的SBS7a特征是HeH的典型特征,这可能是由于皮肤血液中白血病前期HeH细胞暴露在紫外光下所致;然而,我们没有发现HeH病例中这种特征丰富。如前所述,这可能是由于提取和拟合签名的工具不同。在ETV6::RUNX1组中,最常见的签名是SBS13、SBS2、SBS1、SBS8、SBS39和SBS40(图1)。SBS13和SBS2与胞苷脱氨酶APOBEC家族活性增加有关,在之前的几项研究中已报道在该遗传亚型中富集(表S5)。APOBEC促进诱变15,这很可能解释了ETV6::RUNX1中snv /indel的频率较高(图S7)。TCF3::PBX1的前几位签名分别是SBS1、SBS40、SBS18、SBS5、SBS17b和sbs30(图1)。在该遗传亚型中,SBS的绝对贡献相对较低,这可能是由于TCF3::PBX1中snv的频率普遍低于其他亚型(图S7)。这也与TCF3::PBX1.5中驱动突变的数量较少相一致。之前的一些研究(表S5)也报道了SBS1和SB5在该亚型中很常见。在B-other组中,SBS1、SBS18、SBS13、SBS2和SBS40是最常见的签名(图1)。然而,考虑到这一群体在遗传上、临床上和很可能在病因上都是高度异质的,总的突变特征模式就不那么有趣了。事实上,先前的研究(表S5)报道了B-other中SBS特征的不同模式,其中SBS7a(紫外线照射)、SBS18 (ROS)和SBS9(聚合酶eta在复制过程中诱导的突变)在一些研究中很常见。Brady等人5确定了B-other不同亚型的特征,并报道了SBS18 (ROS)在PAX5alt和mef2d重排病例中的富集(表S5)。我们还发现了PAX5alt中SBS18的富集(图1),但与Brady等人不同的是,5我们没有发现SBS18特征随年龄增加的证据。有趣的是,SBS18特征在HeH、ETV6::RUNX1和TCF3::PBX1合并PAX5alt的病例中并不特别常见(图1),这表明ros诱导的DNA损伤与环境有关。没有PAX5alt的两个B-other病例(#68和80)的特征是SBS2和SBS13的高贡献,类似于ETV6::RUNX1病例(图1)。事实上,病例68通过RNA-seq显示为ETV6:: runx1 -like不幸的是,由于缺乏RNA,在病例80中无法进行基因表达分析;然而,本病例没有任何ETV6和IKZF1畸变,这在ETV6:: runx1样病例中很常见。17接下来,我们比较了ETV6::RUNX1、TCF3::PBX1和B-other情况下主要克隆和次要克隆之间的SBS特征(支持信息和图S12);这样的比较以前没有报道过。这些分析表明,PAX5alt B-other病例的主要克隆富集了SBS18(图S13),这表明ros诱导的DNA损伤在这些病例中发生得较早,而ETV6::RUNX1的次要亚克隆对SBS2和SBS13特征的贡献很高(图S14),表明APOBEC家族活性的增加发生在该亚型的白血病发生过程中较晚。先前,van der Ham等人8报道了一些SBS特征的频率在BCP ALL的诊断和复发样本之间有所不同。结合目前的数据,这表明在诊断和疾病进展期间,主要克隆和次要亚克隆的特征是不同的。84例BCP ALL病例均未出现任何脱色迹象;因此,大量局部拷贝数状态改变在BCP ALL中似乎很少见。 然而,在6例(7%)病例中检测到kataeic区域(#30、38、41、46、68和80;图2和S15)。值得注意的是,所有这些病例的特征都是apobecc相关的SBS2和SBS13特征的富集,其中5个是ETV6::RUNX1或ETV6::RUNX1样(#30、38、41、46和68)。因此,在24例ETV6::RUNX1/ETV6::RUNX1样病例中,有5例(21%)发现kataegis。在这些病例中,apobecc诱导的诱变可能是区域高突变的原因,正如在其他癌症中提出的那样。9,15综上所述,ETV6::RUNX1和ETV6::RUNX1样病例不仅具有相似的基因表达谱和良好的预后,16,17而且目前的研究结果表明,它们还具有相似的突变特征和高频率的kataeic区域,这表明它们的病因和潜在的发病机制可能相似。丽贝卡·贡纳松计划并执行了研究,并撰写了这篇文章。杨敏君进行了生物信息学分析并撰写了这篇文章。Andrea Biloglav, Henrik Lilljebjörn, Linda Olsson-Arvidsson, Kristina B. Lundin-Ström, Thoas Fioretos和Kajsa Paulsson进行了研究。Anders Castor提供了患者样本和临床数据。Bertil Johansson策划了这项研究并撰写了这篇文章。这篇文章得到了所有作者的审阅和认可。作者声明无利益冲突。该研究由瑞典癌症协会(23 2694 Pj)、瑞典儿童癌症基金会(PR2020-0033、TJ2020-0024、PR2024-0002和PR2024-0058)、Crafoord基金会(20230778和20240747)和国家卫生服务机构临床研究政府基金资助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
HemaSphere
HemaSphere Medicine-Hematology
CiteScore
6.10
自引率
4.50%
发文量
2776
审稿时长
7 weeks
期刊介绍: HemaSphere, as a publication, is dedicated to disseminating the outcomes of profoundly pertinent basic, translational, and clinical research endeavors within the field of hematology. The journal actively seeks robust studies that unveil novel discoveries with significant ramifications for hematology. In addition to original research, HemaSphere features review articles and guideline articles that furnish lucid synopses and discussions of emerging developments, along with recommendations for patient care. Positioned as the foremost resource in hematology, HemaSphere augments its offerings with specialized sections like HemaTopics and HemaPolicy. These segments engender insightful dialogues covering a spectrum of hematology-related topics, including digestible summaries of pivotal articles, updates on new therapies, deliberations on European policy matters, and other noteworthy news items within the field. Steering the course of HemaSphere are Editor in Chief Jan Cools and Deputy Editor in Chief Claire Harrison, alongside the guidance of an esteemed Editorial Board comprising international luminaries in both research and clinical realms, each representing diverse areas of hematologic expertise.
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