Investigator

Hirofumi Nakaoka

Assistant Professor · National Institute of Genetics, Human Genetics Laboratory

HNHirofumi Nakaoka
Papers(4)
Genomic profiling of …SLFN11 is a …Clonal lineage from n…APOBEC mediated mutag…
Collaborators(10)
Kosuke YoshiharaKazuaki SudaRyo TamuraManako YamaguchiMasahiro KagabuMasashi UedaNozomi YachidaRose Maria MathewShujiro OkudaSosuke Adachi
Institutions(4)
Sasaki InstituteNiigata UniversityIwate Medical Univers…Kyoto Medical Center

Papers

Genomic profiling of meiotic errors and early malignant transformation events in ovarian mature teratoma

Abstract Ovarian mature teratoma (OMT) exhibits copy-neutral loss of heterozygosity (CN-LOH) derived from meiotic errors. Studies have classified OMT into five types using these CN-LOH patterns. However, tumor purity issues have hindered accurate classification and molecular characterization. Moreover, the relationship between OMT genomic abnormalities and malignant transformation remains unclear. Here, we used laser microdissection to selectively collect 29 epithelial regions from 22 OMT cases and 1 carcinoma in situ (CIS) region from a squamous cell carcinoma case arising from OMT. We then conducted whole-exome sequencing. Copy number analysis enabled classification according to the established system. In cases with multi-regional sampling, the CN-LOH patterns were identical within the same tumor, while bilateral tumors showed distinct patterns, indicating that each tumor originated independently. Among the type II OMTs, which are believed to result from meiosis II error, 2 cases exhibited a chromosomal gain. Assessment of heterozygosity suggested that these cases had meiosis I error before meiosis II error. Somatic mutation analysis revealed an extremely low mutation burden, with 1 case harboring a PIK3CA mutation. In the CIS region, additional copy number alterations were present alongside the underlying CN-LOH pattern. TP53 mutations and loss of the wild-type allele were detected. The tumor mutation burden of CIS was 6.2 mutations per megabase. Mutational signature analysis showed enrichment of apolipoprotein B mRNA editing enzyme catalytic subunit-associated signatures. This study suggests novel perspectives on the mechanisms of OMT tumor development and malignant transformation.

SLFN11 is a BRCA Independent Biomarker for the Response to Platinum-Based Chemotherapy in High-Grade Serous Ovarian Cancer and Clear Cell Ovarian Carcinoma

Abstract BRCA1/2 mutations are robust biomarkers for platinum-based chemotherapy in epithelial ovarian cancers. However, BRCA1/2 mutations in clear cell ovarian carcinoma (CCC) are less frequent compared with high-grade serous ovarian cancer (HGSC). The discovery of biomarkers that can be applied to CCC is an unmet need in chemotherapy. Schlafen 11 (SLFN11) has attracted attention as a novel sensitizer for DNA-damaging agents including platinum. In this study, we investigated the utility of SLFN11 in HGSC and CCC for platinum-based chemotherapy. SLFN11 expression was analyzed retrospectively by IHC across 326 ovarian cancer samples. The clinicopathologic significance of SLFN11 expression was analyzed across 57 advanced HGSC as a discovery set, 96 advanced HGSC as a validation set, and 57 advanced CCC cases, all of whom received platinum-based chemotherapy. BRCA1/2 mutation was analyzed using targeted-gene sequencing. In the HGSC cohort, the SLFN11-positive and BRCA mutation group showed significantly longer whereas the SLFN11-negative and BRCA wild-type group showed significantly shorter progression-free survival and overall survival. Moreover, SLFN11-positive HGSC shrunk significantly better than SLFN11-negative HGSC after neoadjuvant chemotherapy. Comparable results were obtained with CCC but without consideration of BRCA1/2 mutation due to a small population. Multivariate analysis identified SLFN11 as an independent factor for better survival in HGSC and CCC. The SLFN11-dependent sensitivity to platinum and PARP inhibitors were validated with genetically modified non-HGSC ovarian cancer cell lines. Our study reveals that SLFN11 predicts platinum sensitivity in HGSC and CCC independently of BRCA1/2 mutation status, indicating that SLFN11 assessment can guide treatment selection in HGSC and CCC.

Clonal lineage from normal endometrium to ovarian clear cell carcinoma through ovarian endometriosis

AbstractClear cell carcinoma of the ovary is thought to arise from endometriosis. In addition, retrograde menstruation of shed endometrium is considered the origin of endometriosis. However, little evidence supports cellular continuity from uterine endometrium to clear cell carcinoma through endometriosis at the genomic level. Here, we performed multiregional whole‐exome sequencing to clarify clonal relationships among uterine endometrium, ovarian endometriosis and ovarian clear cell carcinoma in a 56‐year‐old patient. Many somatic mutations including cancer‐associated gene mutations in ARID1A, ATM, CDH4, NRAS and PIK3CA were shared among epithelium samples from uterine endometrium, endometriotic lesions distant from and adjacent to the carcinoma, and the carcinoma. The mutant allele frequencies of shared mutations increased from uterine endometrium to distant endometriosis, adjacent endometriosis, and carcinoma. Although a splice site mutation of ARID1A was shared among the four epithelium samples, a frameshift insertion in ARID1A was shared by adjacent endometriosis and carcinoma samples, suggesting that the biallelic mutations triggered malignant transformation. Somatic copy number alterations, including loss of heterozygosity events at PIK3CA and ATM, were identified only in adjacent endometriosis and carcinoma, suggesting that mutant allele‐specific imbalance is another key factor driving malignant transformation. By reconstructing a clonal evolution tree based on the somatic mutations, we showed that the epithelium samples were derived from a single ancestral clone. Although the study was limited to a single patient, the results from this illustrative case could suggest the possibility that epithelial cells of ovarian endometriosis and clear cell carcinoma were descendants of uterine endometrial epithelium.

APOBEC mediated mutagenesis drives genomic heterogeneity in endometriosis

Endometriosis is a benign gynecologic condition, acting as a precursor of certain histological subtypes of ovarian cancers. The epithelial cells of endometriotic tissues and normal uterine endometrium accumulated somatic mutations in cancer-associated genes such as phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) and Kirsten rat sarcoma (KRAS) proto-oncogene. To determine the genomic characteristic of endometriotic epithelial cells and normal uterine endometrium and to identify the predominant mutational process acting on them, we studied the somatic mutation profiles obtained from whole exome sequencing of 14 endometriotic epithelium and 11 normal uterine endometrium tissues and classified them into mutational signatures. We observed that single base substitutions 2/13 (SBS), attributed to Apolipoprotein B mRNA Editing Enzyme Catalytic Subunit (APOBEC) induced mutagenesis, were significant in endometriotic tissues, but not in the normal uterine endometrium. Additionally, the larger number and wider allele frequency distribution of APOBEC signature mutations, compared to cancer-associated driver mutations in endometriotic epithelium suggested APOBEC mutagenesis as an important source of mutational burden and heterogeneity in endometriosis. Further, the relative risk of enriched APOBEC signature mutations was higher in endometriosis patients who were carriers of APOBEC3A/3B germline deletion, a common polymorphism in East Asians which involves the complete loss of APOBEC3B coding region. Our results illustrate the significance of APOBEC induced mutagenesis in driving the genomic heterogeneity of endometriosis.

82Works
4Papers
22Collaborators
Ovarian NeoplasmsHyperuricemiaBiomarkers, TumorEndometriosisMeiosisNeoplasm ProteinsDisease Progression

Positions

Assistant Professor

National Institute of Genetics · Human Genetics Laboratory