Timothy G. Whitsett

Supplementary Tables from Loss of SMARCA4 Leads to Intron Retention and Generation of Tumor-Associated Antigens in Small Cell Carcinoma of the Ovary, Hypercalcemic Type

Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT), is a rare, deadly form of ovarian cancer that uniformly harbors mutations in SMARCA4, a member of the SWI/SNF chromatin remodeling complex. SWI/SNF impacts RNA splicing, and dysregulation of splicing can generate immunogenic tumor antigens. In this study, we explored the relationship between SMARCA4 loss and RNA splicing dysregulation. SCCOHT primary tumors harbored tumor-associated outlier splicing events compared with normal tissues. Many of the tumor events were retained introns encoding novel peptides predicted to bind to MHC-I complexes. Immune cells were observed in primary SCCOHT tumors, suggesting a potentially immune-reactive tumor microenvironment. Mutations in several switch/sucrose nonfermenting (SWI/SNF) subunits were associated with higher rates of outlier retained introns across tumor types in The Cancer Genome Atlas data. Interestingly, RNA sequencing of isogenic SCCOHT cell lines demonstrated a role for SMARCA4 in intron retention (IR). Distinct protein–protein interactions between splicing factors identified in SCCOHT cell lines supported a role for SMARCA4 in splicing regulation. Furthermore, SWI/SNF localized to genes, which were differentially spliced. Mass spectrometry analyses confirmed expression of some of these novel peptides, and a subset of these are predicted to bind to MHC-I complexes. A pool of these novel peptides derived from retained introns in SCCOHT triggered proliferation and expression of TNFα and INFγ in primary human T cells. Together, these data suggest that SMARCA4 loss in SCCOHT leads to IR. Furthermore, T-cell activation by novel peptides encoded by these tumor-specific splicing events suggests IR could be a source of tumor-associated antigens in SCCOHT. Significance: SCCOHT, a rare ovarian cancer, features splicing dysregulation due to SMARCA4 loss that generates immunostimulatory peptides linked to potential immune responses and therapeutic avenues, challenging traditional views of the role of SMARCA4.

Alzheimer’s disease (AD), due to its multifactorial nature and complex etiology, poses challenges for research, diagnosis, and treatment, and impacts millions worldwide. To address the need for minimally invasive, repeatable measures that aid in AD diagnosis and progression monitoring, studies leveraging RNAs associated with extracellular vesicles (EVs) in human biofluids have revealed AD-associated changes. However, the validation of AD biomarkers has suffered from the collection of samples from differing points in the disease time course or a lack of confirmed AD diagnoses. Here, we integrate clinical diagnosis and postmortem pathology data to form more accurate experimental groups and use small RNA sequencing to show that EVs from plasma can serve as a potential source of RNAs that reflect disease-related changes. Importantly, we demonstrated that these changes are identifiable in the EVs of preclinical patients, years before symptom manifestation, and that machine learning models based on differentially expressed RNAs can help predict disease conversion or progression. This research offers critical insight into early disease biomarkers and underscores the significance of accounting for disease progression and pathology in human AD studies.

PDF file - 159K, Mcl-1 and Fn14 gene expressions correlate in squamous cell lung carcinoma.