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  1. De Los Reyes EVA, Rivera DI, Santos HM, Carlos RM
    Malays J Pathol, 2018 Aug;40(2):175-183.
    PMID: 30173236
    INTRODUCTION: Intracranial teratomas account for 0.5% of all intracranial tumours and 2-4% of intracranial tumours in children. However, in terms of tumours of the pineal area, the exact incidence is not ascertained. Although, it is noted that 50-60% of central nervous system (CNS) germ cell tumours are found in the pineal gland. The degree of difficulty in the sampling of lesions in the pineal gland during biopsy emphasizes the importance of correlating the imaging studies, histopathologic findings, and serum and cerebrospinal fluid (CSF) tumour markers.

    CASE REPORT: This case report is that of a 9-year-old male who presented with frontal headache of eight days, with associated photophobia, nausea and vomiting, and diplopia. Biopsy with intraoperative navigation was done and the specimen was referred for histopathologic evaluation. The biopsy showed findings consistent with a mature teratoma with no histologic findings of an immature component or secondary somatic malignancy. Comparison of the pre-operative and post-operative multiaxial cranial CT scan showed findings that was consistent with a residual lesion. This was correlated with the pre-operative serum tumour markers which showed alpha-fetoprotein of 22.5 ng/mL and beta-HCG of 1.0 mIU/mL(IU/L), and the post-operative tumour markers of the cerebrospinal fluid that showed alpha-fetoprotein of 3.28 ng/mL and beta-HCG of 18.9 mIU/mL (IU/L).

    CONCLUSION: A review of the literature and comparison with current case in relation to the histopathologic, serum and CSF findings, and imaging studies was done to better understand the mechanism of this lesion.

  2. Parsons MT, Tudini E, Li H, Hahnen E, Wappenschmidt B, Feliubadaló L, et al.
    Hum Mutat, 2019 Sep;40(9):1557-1578.
    PMID: 31131967 DOI: 10.1002/humu.23818
    The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification.
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