Citations

Abstract Introduction: Mitochondria are intracellular organelles that play an important role in energy metabolism, reactive oxygen species generation, and apoptosis. They possess their own haploid genome distinct from nuclear DNA, and mutations in mitochondrial DNA (mtDNA) have previously been linked to cancer risk, disease progression, and treatment response for multiple tumor types. However, the spectrum of mtDNA variation in epithelial ovarian carcinoma (EOC) and associations with clinical characteristics have not been fully explored. Methods: We extracted mtDNA from fresh frozen EOC tumors of women diagnosed with primary invasive epithelial ovarian, fallopian tube, or peritoneal carcinoma, and performed targeted sequencing using the Illumina MiSeq Reporter mtDNA workflow. Homoplasmic and heteroplasmic SNVs and indels were called using an in-house bioinformatics pipeline. We estimated mtDNA haplogroup using Haplogrep and compared to results from available germline mtDNA SNP genotyping. We derived regional weighted variant burden scores based on mtDNA functional domains, accounting for underlying haplogroup, heteroplasmic fraction, and predicted functional impact. To assess potential differences in variant burden by histotype, we compared burden scores using Kruskal-Wallis testing. Among high-grade serous tubo-ovarian cases, we explored associations with overall survival (OS) using Cox proportional hazards regression. After quality control filtering, 389 mitochondrial genomes were analyzed, including those from 320 tubo-ovarian high-grade serous tumors, 42 endometrioid tumors, and 18 clear cell tumors. Results: Accounting for predicted haplogroup, we identified a median count of two global private heteroplasmies per tumor (range: 0-9). Elevated mutation rates were identified in the regulatory control region as well as among the various mt-tRNAs (>3 per 10kb per sample) relative to the remainder of the mtDNA. The majority of recurrent variants across tumors were also identified in the mtDNA control region. We did not observe an association with overall mtDNA variant burden and patient age at diagnosis. Regional mtDNA burden scores revealed a significant association with histotype (P<0.001) for the oxidative phosphorylation complex IV genes, with higher burden in tubo-ovarian high-grade serous and clear-cell tumors relative to endometrioid tumors. For patients with tubo-ovarian high-grade serous tumors, increased variant burden in MT-CO1 (cytochrome C oxidase I) was associated with improved OS (HR = 0.32; 95% CI = [0.14,0.70], LRT P = 0.001) after adjustment for age, stage, and debulking status. Conclusions: We demonstrate a wide range of tumor mtDNA variant patterns in the largest known collection of EOC patients. This work provides the first extensive evaluation of mtDNA variation in these diseases and highlights the potential prognostic relevance of mitochondrial dysfunction. Citation Format: Nicholas B. Larson, Stacey J. Winham, Chen Wang, Jared M. Evans, Sebastian M. Armasu, Bryan M. McCauley, Sean J. Yoder, Lan Min Zhang, Catherine M. Phelan, Ellen L. Goode. Targeted deep sequencing of mitochondrial DNA in epithelial ovarian carcinomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 420.

Transforming growth factor beta (TGF-β) signaling has pleiotropic functions regulating cancer initiation, development, and metastasis, and also plays important roles in the interaction between stromal and cancer cells, making the pathway a potential therapeutic target. LY2157299 monohydrate (LY), an inhibitor of TGF-β receptor I (TGFBRI), was examined for its ability to inhibit ovarian cancer (OC) growth both in high-grade serous ovarian cancer (HGSOC) cell lines and xenograft models. Immunohistochemistry, qRT-PCR, and Western blot were performed to study the effect of LY treatment on expression of cancer- and fibroblast-derived genes. Results showed that exposure to TGF-β1 induced phosphorylation of SMAD2 and SMAD3 in all tested OC cell lines, but this induction was suppressed by pretreatment with LY. LY alone inhibited the proliferation, migration, and invasion of HGSOC cells in vitro. TGF-β1-induced fibroblast activation was blocked by LY. LY also delayed tumor growth and suppressed ascites formation in vivo. In addition, independent of tumor inhibition, LY reduces ascites formation in vivo. Using OVCAR8 xenograft specimens we confirmed the inhibitory effect of LY on TGF-β signaling and tumor stromal expression of collagen type XI chain 1 (COL11A1) and versican (VCAN). These observations suggest a role for anti-TGF-β signaling-directed therapy in ovarian cancer.

Objectives: To develop and validate an unbiased, accurate, convenient, and inexpensive means of determining when an osseous defect has healed and recovered sufficient strength to allow weight bearing. Methods: A novel image processing software algorithm was created to analyze the radiographic images and produce a metric designed to reflect the bone strength. We used a rat femoral segmental defect model that provides a range of healing responses from complete union to nonunion. Femora were examined by x-ray, micro–computed tomography and mechanical testing. Accurate simulated radiographic images at different incident x-ray beam angles were produced from the micro–computed tomography data files. Results: The software-generated metric (SC) showed high levels of correlation with both the mechanical strength (τMech) and the polar moment of inertia (pMOI), with the mechanical testing data having the highest association. The optimization analysis yielded optimal oblique angles θB of 125 degrees for τMech and 50 degrees for pMOI. The Pearson R2 values for the optimized model were 0.71 and 0.64 for τMech and pMOI, respectively. Further validation using true radiographs also demonstrated that the metric was accurate and that the simulations were realistic. Conclusions: The preliminary findings suggest a very promising methodology to assess bone fracture healing using conventional radiography. With radiographs acquired at appropriate incident angles, it proved possible to accurately calculate the degree of healing and the mechanical strength of the bone. Further research is necessary to refine this approach and determine whether it translates to the human clinical setting.