Real-World Performance of Integrative Clinical Genomics in Pediatric Precision Oncology.

Despite significant improvement in the survival of pediatric patients with cancer, treatment outcomes for high-risk, relapsed, and refractory cancers remain unsatisfactory. Moreover, prolonged survival is frequently associated with long-term adverse effects due to intensive multimodal treatments. Accelerating the progress of pediatric oncology requires both therapeutic advances and strategies to mitigate the long-term cytotoxic side effects, potentially through targeting specific molecular drivers of pediatric malignancies.

Dataset of DNA methylation profiles of 189 pediatric central nervous system, soft tissue, and bone tumors.

Alterations in DNA methylation profiles belong to important mechanisms in cancer development, and their assessment can be utilized for rapid and precise diagnostics. Therefore, establishing datasets of methylation profiles can improve and deepen our understanding of the role of epigenetic changes in cancer development as well as improve our diagnostic capabilities. In this dataset, we generated NGS data for 189 samples of pediatric CNS, soft tissue, and bone tumors.

MDM2SNP309 does not associate with elevated MDM2 protein expression or breast cancer risk.

Objectives: SNP309 polymorphism (T-G) at the promoter region of MDM2 has been reported to cause increased binding affinity of transcriptional activator Sp1 followed by increased MDM2 both in mRNA and protein level. This model was proposed in vitro in the small panel of cell lines that indicated an on average 8-fold higher level of MDM2 mRNA in cells bearing the GG genotype.

Methods: The incidence of SNP309 was determined in a cohort of 158 breast, 17 endometrium, 13 cervix and 45 ovarian cancer tissues by PCR-RFLP.

Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.

Introduction: Microarray-based gene expression profiling represents a major breakthrough for understanding the molecular complexity of breast cancer. cDNA expression profiles cannot detect changes in activities that arise from post-translational modifications, however, and therefore do not provide a complete picture of all biologically important changes that occur in tumors. Additional opportunities to identify and/or validate molecular signatures of breast carcinomas are provided by proteomic approaches.