Reduced protein levels of SMARCB1 (a.k.a. BAF47, INI1, SNF5) have long been observed in synovial sarcoma (SS). Here, we show that combined Smarcb1 genetic loss with SS18-SSX expression in mice synergized to produce aggressive tumors with histomorphology, transcriptomes, and genome-wide BAF-family complex distributions distinct from SS18-SSX alone, indicating a defining role for SMARCB1 in SS. Smarcb1 silencing alone in mesenchyme modeled epithelioid sarcomagenesis. In mouse and human SS cells, SMARCB1 was identified within PBAF and canonical BAF (CBAF) complexes, co-incorporated with SS18-SSX in the latter. Recombinant expression of CBAF components in human cells reconstituted CBAF sub-complexes that contained equal levels of SMARCB1, regardless of SS18 or SS18-SSX inclusion. In vivo, SS18-SSX expression led to whole-complex CBAF degradation, rendering increases in the relative prevalence of other BAF-family subtypes, PBAF and GBAF complexes, over time. Thus, SS18-SSX alters BAF subtypes levels/balance and genome distribution, driving synovial sarcomagenesis.Research.
Background: Although the cause of rotator cuff tearing is likely multifactorial and a genetic predisposition has been proposed, the biochemical basis remains unknown. Purpose: To determine gene expression profiles in torn rotator cuff tendon tissue through use of RNA sequencing. Study Design: Controlled laboratory study. Methods: The supraspinatus tendon edge was biopsied in 24 patients undergoing arthroscopic rotator cuff repair for full-thickness supraspinatus rotator cuff tears. The supraspinatus tendon was also biopsied in 9 patients undergoing open reduction and internal fixation for a proximal humeral fracture (controls). Total RNA was extracted and sequenced. Differential gene expression was analyzed between the tear and control groups, and a secondary analysis was conducted between groups defined by an unbiased clustering. Results: Tear and control transcriptomes demonstrated significant differential expression in more than 3000 genes. The identified differential genes were highlighted in pathways involved in inflammation in control patients and extracellular matrix generation in patients with tears. Secondary analysis using unsupervised and thus unbiased hierarchical clustering revealed 2 clusters (c2 and c3). Cluster c3 contained smaller ( P < .001) and less retracted ( P = .018) tears (ie, tears earlier in the progression of rotator cuff disease) with increased expression of hypoxia target genes. Cluster c2 contained larger, more retracted tears (ie, tears further in the progression of rotator cuff disease) with increased expression of endothelial cell markers and chronic inflammation target genes. Tears in c2 had significantly worse healing rates compared with tears in c3 (0% vs 89%; P = .007). Conclusion: Smaller, less retracted tears had increased expression of hypoxia target genes and improved healing, whereas larger, more retracted tears were associated with endothelial cell markers and worse healing. Thus, hypoxia may be the inciting event for tear development, whereas with tear enlargement, a chronic, inflammatory, angiogenic process may predominate. Clinical Relevance: Identification of differential gene expression in rotator cuff tears may be a reliable tool to predict repair healing in the future.
Sarcoma comprises a group of malignancies that includes over 100 individual disease entities. Type‐specific genetic events initiate each tumor, occurring within a specific cellular context or circumstance. All sarcomas share a relationship with mesenchymal tissues of origin. Conceptual models for each specific route towards sarcomagenesis have developed over the years as clinical, cellular, and increasingly molecular observations have advanced hypotheses to be tested in the forward or reverse direction in experimental systems, often genetically engineered model organisms. This review considers the history of these discoveries in the context of technologies available at the time each was made and provides a comprehensive summary of the current knowledge of sarcoma genetics, including characteristic translocations, oncogene activation and loss of tumor suppressor gene events, and their putative cells of origin. Also considered are the interrelatedness of molecular clinical observations and genetic experiments in model systems to move this field of knowledge forward, as well as their implications for diagnostic and therapeutic paradigms for sarcoma. © 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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