Proteogenomics and Hi-C reveal transcriptional dysregulation in high hyperdiploid childhood acute lymphoblastic leukemia

Determinants and role of chromatin organization in acute leukemia

DNA is compacted into higher order structures that have major implications in gene regulation. These structures allow for long-range interactions of DNA elements, such as the association of promoters with their cognate enhancers. In recent years, mutations in genes that control these structures, including the cohesin-complex and the insulator-binding protein CTCF, have been found in a spectrum of hematologic disorders, and especially in acute leukemias. Cohesin and CTCF are critical for mediating looping and establishing boundaries within chromatin. Cells that harbor mutations in these genes display aberrant chromatin architecture and resulting differences in gene expression that contribute to leukemia initiation and progression. Here, we provide detailed discussion of the nature of 3D interactions and the way that they are disrupted in acute leukemia. Continued research in this area will provide new insights into the mechanisms of leukemogenesis and may shed light on novel treatment strategies.

Recent advances in mass spectrometry based clinical proteomics: applications to cancer research

Cancer biomarkers have transformed current practices in the oncology clinic. Continued discovery and validation are crucial for improving early diagnosis, risk stratification, and monitoring patient response to treatment. Profiling of the tumour genome and transcriptome are now established tools for the discovery of novel biomarkers, but alterations in proteome expression are more likely to reflect changes in tumour pathophysiology. In the past, clinical diagnostics have strongly relied on antibody-based detection strategies, but these methods carry certain limitations. Mass spectrometry (MS) is a powerful method that enables increasingly comprehensive insights into changes of the proteome to advance personalized medicine. In this review, recent improvements in MS-based clinical proteomics are highlighted with a focus on oncology. We will provide a detailed overview of clinically relevant samples types, as well as, consideration for sample preparation methods, protein quantitation strategies, MS configurations, and data analysis pipelines currently available to researchers. Critical consideration of each step is necessary to address the pressing clinical questions that advance cancer patient diagnosis and prognosis. While the majority of studies focus on the discovery of clinically-relevant biomarkers, there is a growing demand for rigorous biomarker validation. These studies focus on high-throughput targeted MS assays and multi-centre studies with standardized protocols. Additionally, improvements in MS sensitivity are opening the door to new classes of tumour-specific proteoforms including post-translational modifications and variants originating from genomic aberrations. Overlaying proteomic data to complement genomic and transcriptomic datasets forges the growing field of proteogenomics, which shows great potential to improve our understanding of cancer biology. Overall, these advancements not only solidify MS-based clinical proteomics' integral position in cancer research, but also accelerate the shift towards becoming a regular component of routine analysis and clinical practice.

The 3D Genome as a Target for Anticancer Therapy

The role of 3D genome organization in the precise regulation of gene expression is well established. Accordingly, the mechanistic connections between 3D genome alterations and disease development are becoming increasingly apparent. This opinion article provides a snapshot of our current understanding of the 3D genome alterations associated with cancers. We discuss potential connections of the 3D genome and cancer transcriptional addiction phenomenon as well as molecular mechanisms of action of 3D genome-disrupting drugs. Finally, we highlight issues and perspectives raised by the discovery of the first pharmaceutical strongly affecting 3D genome organization.

Noncoding RNA transcription at enhancers and genome folding in cancer

Changes of nuclear localization of lineage-specific genes from a transcriptionally inert to permissive environment are a crucial step in establishing the identity of a cell. Noncoding RNA transcription-mediated genome folding and activation of target gene expression have been found in a variety of cell types. Noncoding RNA ThymoD (thymocyte differentiation factor) transcription at superenhancers is essential for mouse T-cell lineage commitment. The cessation of ThymoD transcription abolishes transcription-mediated demethylation, recruiting looping factors such as the cohesin complex, CCCTC-binding factor (CTCF), ultimately leading to the phenotype of severe combined immunodeficiency and T-cell leukemia/lymphoma. In this review, we describe the functional role of RNA polymerase II-mediated transcription at enhancers and in genome folding. We also highlight the involvement of faulty activation or suppression of enhancer transcription and enhancer-promoter interaction in cancer development.