GLI1 confers resistance to PARP inhibitors by activating the DNA damage repair pathway.

Identifying the mechanisms of action of anticancer drugs is an important step in the development of new drugs. In this study, we established a comprehensive screening platform consisting of 68 oncogenes (MANO panel), encompassing 243 genetic variants, to identify predictive markers for drug efficacy. Validation was performed using drugs that targeted EGFR, BRAF, and MAP2K1, which confirmed the utility of this functional screening panel. Screening of a BRCA2-knockout DLD1 cell line (DLD1-KO) revealed that cells expressing SMO and GLI1 were resistant to olaparib. Gene set enrichment analysis identified genes associated with DNA damage repair that were enriched in cells overexpressing SMO and GLI1. The expression of genes associated with homologous recombination repair (HR), such as the FANC family and BRCA1/2, was significantly upregulated by GLI1 expression, which is indicative of PARP inhibitor resistance. Although not all representative genes of the nucleotide excision repair (NER) pathway were upregulated, NER activity was enhanced by GLI1. The GLI1 inhibitor was effective against DLD1-KO cells overexpressing GLI1 both in vitro and in vivo. Furthermore, the combination therapy of olaparib and GLI1 inhibitor exhibited a synergistic effect on DLD1-KO, suggesting the possible clinical application of GLI1 inhibitor targeting cancer with defective DNA damage repair. This platform enables the identification of biomarkers associated with drug sensitivity, and is a useful tool for drug development.

A molecular glue RBM39-degrader induces synthetic lethality in cancer cells with homologous recombination repair deficiency.

E7820 and Indisulam (E7070) are sulfonamide molecular glues that modulate RNA splicing by degrading the splicing factor RBM39 via ternary complex formation with the E3 ligase adaptor DCAF15. To identify biomarkers of the antitumor efficacy of E7820, we treated patient-derived xenograft (PDX) mouse models established from 42 patients with solid tumors. The overall response rate was 38.1% (16 PDXs), and tumor regression was observed across various tumor types. Exome sequencing of the PDX genome revealed that loss-of-function mutations in genes of the homologous recombination repair (HRR) system, such as ATM, were significantly enriched in tumors that responded to E7820 (p = 4.5 × 103). Interestingly, E7820-mediated double-strand breaks in DNA were increased in tumors with BRCA2 dysfunction, and knockdown of BRCA1/2 transcripts or knockout of ATM, ATR, or BAP1 sensitized cancer cells to E7820. Transcriptomic analyses revealed that E7820 treatment resulted in the intron retention of mRNAs and decreased transcription, especially for HRR genes. This induced HRR malfunction probably leads to the synthetic lethality of tumor cells with homologous recombination deficiency (HRD). Furthermore, E7820, in combination with olaparib, exerted a synergistic effect, and E7820 was even effective in an olaparib-resistant cell line. In conclusion, HRD is a promising predictive biomarker of E7820 efficacy and has a high potential to improve the prognosis of patients with HRD-positive cancers.

The development of a custom RNA-sequencing panel for the identification of predictive and diagnostic biomarkers in glioma.

PURPOSE: Various molecular profiles are needed to classify malignant brain tumors, including gliomas, based on the latest classification criteria of the World Health Organization, and their poor prognosis necessitates new therapeutic targets. The Todai OncoPanel 2 RNA Panel (TOP2-RNA) is a custom-target RNA-sequencing (RNA-seq) using the junction capture method to maximize the sensitivity of detecting 455 fusion gene transcripts and analyze the expression profiles of 1,390 genes. This study aimed to classify gliomas and identify their molecular targets using TOP2-RNA. METHODS: A total of 124 frozen samples of malignant gliomas were subjected to TOP2-RNA for classification based on their molecular profiles and the identification of molecular targets. RESULTS: Among 55 glioblastoma cases, gene fusions were detected in 11 cases (20%), including novel MET fusions. Seven tyrosine kinase genes were found to be overexpressed in 15 cases (27.3%). In contrast to isocitrate dehydrogenase (IDH) wild-type glioblastoma, IDH-mutant tumors, including astrocytomas and oligodendrogliomas, barely harbor fusion genes or gene overexpression. Of the 34 overexpressed tyrosine kinase genes, MDM2 and CDK4 in glioblastoma, 22 copy number amplifications (64.7%) were observed. When comparing astrocytomas and oligodendrogliomas in gene set enrichment analysis, the gene sets related to 1p36 and 19q were highly enriched in astrocytomas, suggesting that regional genomic DNA copy number alterations can be evaluated by gene expression analysis. CONCLUSIONS: TOP2-RNA is a highly sensitive assay for detecting fusion genes, exon skipping, and aberrant gene expression. Alterations in targetable driver genes were identified in more than 50% of glioblastoma. Molecular profiling by TOP2-RNA provides ample predictive, prognostic, and diagnostic biomarkers that may not be identified by conventional assays and, therefore, is expected to increase treatment options for individual patients with glioma.