Striker, S. | Search bioRxiv

bioRxiv2026

CNSigs: An R Package for the Identification of Copy Number Mutational Signatures

Copy number aberrations (CNAs) are gains and losses of large genomic segments present across most cancer types and are a hallmark of cancer genomic alterations. However, the processes underlying CNAs and characteristic patterns of CNAs are poorly understood. Bioinformatic advances have identified underlying single nucleotide variant mutational signatures resulting from distinct mutational processes, yet development of algorithms able to uncover similar signatures for CNAs remains less advanced. Using segmented data files from DNA sequencing, six copy number features are extracted for signature determination: segment size, breakpoints, copy number oscillation, changepoint size, copy number, and breakpoints per chromosome arm, along with ploidy. Mixed model approaches and non-negative matrix factorization are utilized to derive CNA signatures across cancer types. The full methodology was packaged in a publicly available, robust R package, CNSigs. To verify reproducibility, we derived five signatures from two independent breast cancer datasets (total n>3000), demonstrating high accuracy (average cosine similarity = 0.89). Pan-cancer application of CNSigs in TCGA resulted in derivation of 13 pan-cancer signatures which were significantly associated with disease-specific survival. Benchmarking CNSigs to two other CNA signature approaches within TCGA demonstrated non-overlapping signatures and favorable compute speed for CNSigs. We evaluated n=24 pairs of tumor and circulating tumor DNA (ctDNA) that demonstrated that CNSigs are detectable and reproducible via ctDNA, with significant association of CNSig11 with metastatic triple-negative breast cancer progression-free survival specifically for taxane chemotherapy. CNSigs association with immunophenotype was evaluated in low-grade glioma and CNSig3 was found to be highly prognostic yet complementary to immune features. The CNSigs allows researchers to easily analyze their own samples to derive copy number signatures and evaluate clinical associations. We demonstrate its potential application in ctDNA and association with treatment response. The development of this package allows further investigation of underlying processes that may be responsible for CNA fingerprints.

bioinformatics↗

bioRxiv2023

Landscape of super-enhancers in small cell carcinoma of the ovary, hypercalcemic type and efficacy of targeting with natural product triptolide

PurposeSmall cell carcinoma of the ovary-hypercalcemic type (SCCOHT) is a rare form of ovarian cancer affecting young women and girls. SCCOHT is driven by loss of both SWI/SNF ATPases SMARCA4 and SMARCA2, having major effects on enhancer landscapes. Super-enhancers are a distinct subset of enhancer clusters frequently associated with oncogenes in cancer. Experimental DesignSCCOHT cell lines and PDX models were interrogated for super-enhancer landscape with H3K27ac CUT&RUN integrated with RNAseq data for associated oncogene analysis. IHC staining and drug efficacy studies in PDX models demonstrate clinical translatability. ResultsHere we discovered key distinctions between SWI/SNF chromatin occupancy following SMARCA4 restoration at enhancer vs. super-enhancer sites and characterized putative oncogene expression driven by super-enhancer activity. SCCOHT super-enhancer target genes were particularly enriched in developmental processes, most notably nervous system development. We found high sensitivity of SCCOHT cell lines to triptolide, a small molecule that targets the XPB subunit of the transcription factor II H (TFIIH) complex, found at super-enhancers. Triptolide inhibits expression of many super-enhancer associated genes, including oncogenes. Notably, SALL4 expression is significantly decreased following short triptolide treatment, and its RNA expression was high in SCCOHT tumors relative to other ovarian cancers. In SCCOHT patient-derived xenograft models, triptolide and its prodrug derivative minnelide are particularly effective in inhibiting tumor growth. ConclusionsThese results demonstrate the key oncogenic role of super-enhancer activity following epigenetic dysfunction in SCCOHT, which can be effectively targeted through inhibition of its functional components, such as TFIIH inhibition with triptolide. Statement of Translational RelevanceThis work identifies a potential therapeutic strategy for small cell carcinoma of the ovary-hypercalcemic type (SCCOHT), a rare and aggressive ovarian cancer affecting young women and children. This study highlights the role of the loss of SWI/SNF ATPase SMARCA4 in altering super-enhancers to promote high oncogene expression. We discovered that SCCOHT cells exhibited high sensitivity to triptolide, a small molecule derived from Tripterygium wilfordii, which targets the XPB subunit of the transcription factor II H (TFIIH) complex found at super-enhancers. Triptolide inhibits the expression of super-enhancer-associated genes, including oncogenes like SALL4, which is highly expressed in SCCOHT. Moreover, in SCCOHT patient-derived xenograft models, triptolide and its derivative minnelide effectively inhibited tumor growth. These findings suggest that targeting super-enhancer activity could be a promising therapeutic approach for SCCOHT, offering potential clinical benefits to patients who currently face limited treatment options and poor outcomes.

cancer biology↗