Genomic Features of Interstitial Deletions of Chromosome 9q in Acute Myeloid Leukemia (2024)

Associated Data

Data Availability Statement

Abstract

Interstitial deletion in the long arm of chromosome 9 [del(9q)] is a fairly common cytogenetic finding associated with acute myeloid leukemia (AML), seen in approximately 2–5% of AML patients. However, the genomic features of the deletion remain largely unknown. Using chromosome analysis, single nucleotide polymorphism microarray, and next-generation sequencing, we characterized del(9q)s and other genomic alterations in 9 AML patients. We found several distinct features of the del(9q)s. The proximal breakpoints of the deletions are clustered within a 2.5-Mb region (chr9: 68,513,625–70,984,372; GRCh37) enriched with segmental duplications, which may represent a “hotspot” for genomic rearrangements. However, the distal breakpoints of the deletions vary significantly. In addition, the overall deleted region could be divided into a 14.4-Mb proximal constitutional region (chr9: 70,950,015–85,397,699; 9q21.11q21.32) and a 24.0-Mb distal oncogenic region (chr9: 85,397,700–109,427,261; 9q21.32q31.1). We further identified a 6.8-Mb common overlapped deletion region (CODR) in the distal region (chr9: 90,590,650–97,366,400). This CODR carries multiple genes that are reportedly involved in cancer pathogenesis. The prognostic value of the del(9q) in AML apparently depends on additional genomic alterations in the patients.

Keywords: Acute myeloid leukemia, Deletion of 9q, Genomic analyses, Common overlapped deletion region, Cancer-related genes

Introduction

Interstitial deletion in the long arm of chromosome 9 [del(9q)] is a recurrent finding in acute myeloid leukemia (AML). The deletion has been reported to occur predominantly in myeloid disorders, frequently in AMLs with t(8;21) translocation. It can occur solely or with other abnormalities as a primary or secondary event. However, the pathogenic role of del(9q) is unclear despite numerous studies of the deletion [Mecucci et al., 1984; Akashi et al., 1992; Kwong et al., 1993; Peniket et al., 2005; Balk et al., 2019]. In addition, the genomic features of the deletion remain mostly undefined, hindering further understanding of the pathogenic significance of the deletion. Integrated genomic analyses, including chromosome analysis, single-nucleotide polymorphism microarray (SNP array), and next-generation sequencing (NGS), make it possible to delineate genomic abnormalities in detail. Using these technologies, we characterized del(9q)s along with other genomic alterations in 9 patients with AML. Our studies revealed distinct genomic features of the deletions, which have not been described previously. These features include clustered proximal and variable distal breakpoints, proximal constitutional and distal oncogenic regions, and a common overlapped deletion region (CODR) that carries known cancer-related genes. In addition, we also detected various additional genomic alterations in these patients, which may affect the prognostic value of the del(9q).

Materials and Methods

Results

Interstitial 9q deletions were detected by chromosome analysis in all 9 AML patients. The deletions were confirmed and their sizes and breakpoints were defined by SNP array (Table ​(Table1).1). All deletions were located between 9q13 and 9q33.1, ranging from 18.2 to 50.2 Mb in size. However, the proximal and distal breakpoints of the deletions apparently showed different genomic features. The vast majority of the proximal breakpoints were clustered within a 2.5-Mb region (chr9: 68,513,625–70,984,372) which is enriched with segmental duplications; whereas, the distal breakpoints varied significantly (Fig. ​(Fig.11).

By reviewing literature and our internal constitutional microarray database, we found multiple constitutional interstitial del(9q)s that were located within an approximately 14.4-Mb region between 9q21.11 and 9q21.32 (chr9: 70,950,015–85,397,699) [Boudry-Labis et al., 2013; Genesio et al., 2015]. These constitutional deletions completely overlap with the proximal region of the AML-associated del(9q)s in this study (Fig. ​(Fig.1).1). However, no neoplastic phenotypes were reported in the individuals with the constitutional deletions, suggesting that this proximal deletion region may not play a pathogenic role in AML. Excluding the proximal constitutional deletion region, the potential oncogenic part of the del(9q)s could be narrowed down to the remaining 24.0-Mb distal deletion region (chr9:85,397,700–109,427,261) within 9q21.32q31.1 (Fig. ​(Fig.1),1), consistent with a previously reported common deleted region of del(9q)s in AML [Peniket et al., 2005]. In addition, we identified a 6.8-Mb CODR (chr9: 90,590,650–97,366,400) within the distal deletions in all 9 patients. The CODR contains 118 known genes, including cancer-related genes GADD45G, WNK2, MIRLET7A1, MIRLET7D, and MIRLET7F1 (https://dosage.clinicalgenome.org). Loss of function or reduction of expression of these 5 genes have been reported to be associated with cancer pathogenesis (see Discussion).

In addition, all 9 patients in this study also carried additional genomic alterations, including chromosomal abnormalities, genomic copy number alterations, copy number neutral loss of heterozygosities, and gene sequence pathogenic variants (Table ​(Table1).1). The occurring order of the additional abnormalities in relation to del(9q) could not be determined in most of the patients, except for patient 2, in which del(9q) was a secondary genomic alteration based on chromosomal findings (Table ​(Table11).

Discussion

The 9q deletions in AML apparently carry unique genomic features that have not been reported. The proximal breakpoints of the deletions are clustered in an approximately 2.5-Mb region which is enriched with short segmental duplications (Fig. ​(Fig.1).1). Such condensed segmental duplications may facilitate nonallelic hom*ologous recombination, resulting in increased risk for del(9q)s with relatively uniform proximal breakpoints. This region may represent a “hotspot” for genomic rearrangements in the human genome. However, the distal breakpoints of the deletions may occur at various loci through different mechanisms. Interestingly, patient 1 of this study carried 2 different del(9q)s with the same proximal breakpoint but different distal breakpoints (Fig. ​(Fig.1).1). The deletions could result from a proximal chromosome breakage followed by different distal breakages on separate sister chromatids during mitosis.

We identified a proximal deletion region in the AML-related 9q deletions, which overlaps with reported constitutional del(9q)s. The common phenotypic features associated with this deletion region include mental retardation with speech delay, epilepsy, autistic behavior, and moderate facial dysmorphology [Boudry-Labis et al., 2013]. However, the AML patients apparently did not show such constitutional phenotypic abnormalities. This could be explained by the fact that the AML-associated deletions would only occur in hematopoietic cells, and other cells/tissues of the AML patients were unaffected. Thus, these patients would not show the constitutional phenotypic abnormalities.

It is hypothesized that haploinsufficiency of critical gene(s) within del(9q)s plays a role in AML pathogenesis. Herold et al. [2017] demonstrated a significant impact of haploinsufficiency of del(9q), but were unable to detect pathogenic variants in the genes within the del(9q) region by exome sequencing. Nonetheless, efforts have been made to search for a critical region within 9q deletions, which is responsible for the pathogenesis of AML. Sweetser et al. [2005] identified a 2.4-Mb minimal common deletion region in 43 AML cases with del(9q), but they did not identify recurrent pathogenic variants in all 13 genes within/adjacent to this region either. A similar region was also reported by Naarmann-de Vries et al. [2019]. Our study suggests that the overall region involved in the del(9q)s can be divided into a proximal constitutional region and a distal oncogenic region. The latter contains a 6.8-Mb CODR that is approximately 3.0 Mb distal to the previously reported minimal common deletion region [Sweetser et al., 2005; Naarmann-de Vries et al., 2019]. The CODR carries 5 reported cancer-related genes. Among these genes, GADD45G encodes a DNA damage inducible protein in p53 signaling pathway associated with cell cycle arrest. Defects in the GADD45G pathway appear to be involved in initiation and progression of malignancies [Tamura et al., 2012]. WNK2 has been identified as a tumor suppressor in hepatocellular carcinoma, glioma, and pancreatic ductal adenocarcinoma [Zhou et al., 2019]. MIRLET7A1, MIRLET7D, and MIRLET7F1 are microRNAs that were reported to negatively regulate HRAS, KRAS, and NRAS oncogenes. Reduced expression of these microRNAs was associated with adverse prognosis independent of disease stage in lung cancer [Takamizawa et al., 2004]. Further investigation of these and other genes involved in del(9q)s may lead to a better understanding of the pathogenesis and progression of AML with del(9q)s.

Sole del(9q) seen in AML is believed to be an early event in leukemogenesis and associated with an intermediate risk [Peniket et al., 2005; Herold et al., 2017]. However, additional genomic alterations frequently occur with del(9q)s, as seen in this study (Table ​(Table1).1). When that happens, the prognostic significance of del(9q) seems to depend on the features of the additional alterations. Patients with del(9q) may have good prognosis when favorable genomic alterations coexist, as reported previously [Peniket et al., 2005; Balk et al., 2019]. The patients 1–4 in this study carried known favorable alterations, including t(15;17)(q24;q21), PML-RARA; t(8;21)(q22;q22.1), RUNX1-RUNX1T1, and biallelic pathogenic variants of CEBPA. Favorable prognoses were observed in these patients who stayed in complete remission until the last available follow-up (Fig. ​(Fig.1;1; Table ​Table1).1). On the other hand, adverse prognoses may occur when del(9q)s coexist with genomic alterations of unknown or adverse diagnostic values. Reduced 5-year survival rates in AML with del(9q)and additional chromosome abnormalities have been reported [Peniket et al., 2005; Balk et al., 2019]. We further noticed that additional submicroscopic genomic alterations, including copy number alterations, copy number neutral loss of heterozygosities, and gene pathogenic variants, may also negatively affect the prognosis of AML with del(9q)s. The patients 5–7 and 9 in this study carried such additional alterations and showed a relatively short survival time (≤15 months) after standard AML chemotherapy regimens (Fig. ​(Fig.1;1; Table ​Table1).1). The prognostic effects of the co-existing abnormalities are unknown. They might represent interactions between del(9q) and the co-existing genomic abnormalities or alteration of the treatment responses resulting from the co-existing abnormalities. This study also demonstrated the importance and advantage of using new technologies, such as SNP array and NGS, in cancer genomic analysis.

Statement of Ethics

All patient-related data were collected retrospectively and anonymously. This study was conducted according to the guidelines in the Declaration of Helsinki; it was reviewed and approved by the Institutional Review Board of University of California San Francisco (IRB-10-01080).

Conflict of Interest Statement

The authors have no conflicts of interest to declare.

Funding Sources

The authors have no funding sources to declare.

Author Contributions

Zhongxia Qi: study design, data analysis and interpretation, drafting of the manuscript. Kwun Wah Wen: study design, data analysis, critical revision of the manuscript for important intellectual content. Anita Ki: data acquisition and analysis. Sonam Prakash and Scott Kogan: study design, critical revision of the manuscript for important intellectual content. Jingwei Yu: study design, supervision, drafting and editing the manuscript.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgement

The authors would like to thank Jinna Shu for her excellent technical assistance.

Funding Statement

The authors have no funding sources to declare.

References