SMARCD1 is a "Goldilocks" metastasis modifier.
Christina RossLi-Yun GongLisa M JenkinsNgoc-Han HaMegan MajochaKent W HunterPublished in: bioRxiv : the preprint server for biology (2024)
Breast cancer is the most frequently diagnosed cancer worldwide, constituting around 15% of all diagnosed cancers in 2023. The predominant cause of breast cancer-related mortality is metastasis to distant essential organs, and a lack of metastasis-targeted therapies perpetuates dismal outcomes for late-stage patients. However, through our use of meiotic genetics to study inherited transcriptional network regulation, we have identified a new class of "Goldilocks" genes that are promising candidates for the development of metastasis-targeted therapeutics. Building upon previous work that implicated the CCR4-NOT RNA deadenylase complex in metastasis, we now demonstrate that the RNA-binding proteins (RNA-BPs) NANOS1, PUM2, and CPSF4 also regulate metastatic potential. Using cell lines, 3D culture, mouse models, and clinical data, we pinpoint Smarcd1 mRNA as a key target of all three RNA-BPs. Strikingly, both high and low expression of Smarcd1 is associated with positive clinical outcomes, while intermediate expression significantly reduces the probability of survival. Applying the theory of "essential genes" from evolution, we identify an additional 50 genes that span several cellular processes and must be maintained within a discrete window of expression for metastasis to occur. In the case of Smarcd1 , small perturbations in its expression level significantly reduce metastasis in laboratory mouse models and alter splicing programs relevant to the ER+/HER2-enriched breast cancer subtype. The identification of subtype-specific "Goldilocks" metastasis modifier genes introduces a new class of genes and potential catalogue of novel targets that, when therapeutically "nudged" in either direction, may significantly improve late-stage patient outcomes.
Keyphrases
- poor prognosis
- genome wide
- bioinformatics analysis
- mouse model
- small cell lung cancer
- binding protein
- gene expression
- ejection fraction
- genome wide identification
- end stage renal disease
- lymph node
- public health
- dna methylation
- cardiovascular disease
- risk assessment
- insulin resistance
- drug delivery
- cardiovascular events
- peritoneal dialysis
- transcription factor
- young adults
- human health
- glycemic control
- heat shock
- oxidative stress
- genome wide analysis
- big data