Purpose: Germline hSNF5/INI1 mutations are responsible for hereditary cases of rhabdoid tumors (RT) that constitute the rhabdoid predisposition syndrome (RPS). Our study provides the first precise overview of the prevalence of RPS within a large cohort of RT.
Experimental Design: hSNF5/INI1 coding exons were investigated by sequencing and by multiplex ligation-dependent probe amplification.
Results: Seventy-four constitutional DNAs from 115 apparently sporadic RT were analyzed from 1999 to 2009. Germline mutations were found in 26 patients (35%). Data from 9 individuals from 5 RPS families (siblings) were also studied. The median age at diagnosis was much lower (6 months) in patients with germline mutation (P < 0.01) than in patients without (18 months). Nevertheless, 7 of 35 patients with germline mutation (20%) developed the disease after 2 years of age. The mutation could be detected in only 1 parent whereas germline blood DNA was wild type in the 20 other parent pairs, therefore indicating the very high proportion of germ-cell mosaicism or of de novo mutations in RPS. The former hypothesis could be clearly documented in 1 case in which prenatal diagnosis was positive in a new pregnancy. Finally, the 2 years' overall survival was 7% in mutated and 29% in wild-type patients, mainly due to the worse outcome of RT in younger patients.
Conclusions: Our results show a high proportion of germline mutations in patients with RT that can be found at any age and up to 60% in the youngest patients. Genetic counseling is recommended given the low but actual risk of familial recurrence.
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http://dx.doi.org/10.1158/1078-0432.CCR-10-1795 | DOI Listing |
J Cell Mol Med
March 2025
Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Joubert syndrome (JS) is a rare neurodevelopmental disorder associated with mutations in genes involved in ciliary function. Germline variants in CPLANE1 have been implicated in JS. In this study, we investigated a family with three adverse pregnancies characterised by fetal malformations consistent with JS.
View Article and Find Full Text PDFPurpose Of Review: Genomic and transcriptomic sequencing technologies have revolutionized our ability to characterize prostate cancer at the molecular level. The underlying premise of next-generation sequencing technologies and their current and evolving applications in prostate cancer management are provided in the review.
Recent Findings: Improved methodologies are allowing timely sequencing of the coding regions or both the coding and noncoding regions of the genome to help identify potential mutations and structural variations in the prostate cancer genome, some of which are currently also targetable therapeutically.
Cureus
February 2025
Department of Breast Surgery, Osaka Rosai Hospital, Osaka, JPN.
and () mutation screening is recommended for patients with advanced breast cancer or early breast cancer suspected to have hereditary origins based on family history or tumor characteristics. Blood-based testing is the standard approach, but it is not feasible in patients who have undergone bone marrow transplantation due to the replacement of blood cells with donor-derived cells. We report a case of a patient who, following bone marrow transplantation, required an alternative to blood-based germline screening.
View Article and Find Full Text PDFBMC Med Genomics
March 2025
Department of Urology, The First Hospital of Shanxi Medical University, Taiyuan, China.
Background: Primary bilateral macronodular adrenal hyperplasia (PBMAH) is a rare cause of overt Cushing's syndrome (CS), which usually manifests as bilateral macronodular adrenal nodules and varying levels of cortisol secretion. Previous studies have shown that ARMC5 play a huge role in the occurrence of PBMAH, which may be inherited to family members and lead to more severe clinical symptoms. ARMC5 variants may be associated with meningiomas, which is also illustrated by our report.
View Article and Find Full Text PDFNat Commun
March 2025
Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
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