Paclitaxel sensitizes homologous recombination-proficient ovarian cancer cells to PARP inhibitor via the CDK1/BRCA1 pathway.

OBJECTIVE: An effective treatment strategy for epithelial ovarian cancer (EOC) with homologous recombination (HR)-proficient (HRP) phenotype has not been established, although poly (ADP-ribose) polymerase inhibitors (PARPi) impact the disease course with HR-deficient (HRD) phenotype. Here, we aimed to clarify the cellular effects of paclitaxel (PTX) on the DNA damage response and the therapeutic application of PTX with PARPi in HRP ovarian cancer. METHODS: Two models with different PTX dosing schedules were established in HRP ovarian cancer OVISE cells. Growth inhibition and HR activity were analyzed in these models with or without PARPi. BRCA1 phosphorylation status was examined in OVISE cells by inhibiting CDK1, which was reduced by PTX treatment. CDK1 expression was evaluated in EOC patients treated with PTX-based neoadjuvant chemotherapy. RESULTS: PTX suppressed CDK1 expression resulting in impaired BRCA1 phosphorylation in OVISE cells. The reduced CDK1 activity by PTX could decrease HR activity in response to DNA damage and therefore increase the sensitivity to PARPi. Immunohistochemistry showed that CDK1 expression was attenuated in samples collected after PTX-based chemotherapy compared to those collected before chemotherapy. The decrease in CDK1 expression was greater with dose-dense PTX schedule than with the conventional PTX schedule. CONCULSIONS: PTX could act synergistically with PARPi in HRP ovarian cancer cells, suggesting that the combination of PTX with PARPi may be a novel treatment strategy extending the utility of PARPi to EOC. Our findings provide cules for future translational clinical trials evaluating the efficacy of PTX in combination with PARPi in HRP ovarian cancer.

REToma: a cancer subtype with a shared driver oncogene.

RET (REarranged during Transfection), which encodes a receptor tyrosine kinase for members of the glial cell line-derived neurotrophic factor, plays a role as driver oncogene in a variety of human cancers. Fusion of RET with several partner genes has been detected in papillary thyroid, lung, colorectal, pancreatic and breast cancers, and tyrosine kinase inhibitors (TKIs) for RET (particularly RET-specific inhibitors) show promising therapeutic effects against such cancers. Oncogenic mutations within the extracellular cysteine-rich and intracellular kinase domains of RET drive medullary thyroid carcinogenesis; the same mutations are also observed in a small subset of diverse cancers such as lung, colorectal and breast cancers. Considering the oncogenic nature of RET mutants, lung, colorectal and breast cancers are predicted to respond to RET TKIs in a manner similar to medullary thyroid cancer. In summary, cancers carrying oncogenic RET alterations as a driver mutation could be collectively termed 'REToma' and treated with RET TKIs in a tissue-agnostic manner.

Bevacizumab increases the sensitivity of olaparib to homologous recombination-proficient ovarian cancer by suppressing CRY1 via PI3K/AKT pathway.

PARP inhibitors have changed the management of advanced high-grade epithelial ovarian cancer (EOC), especially homologous recombinant (HR)-deficient advanced high-grade EOC. However, the effect of PARP inhibitors on HR-proficient (HRP) EOC is limited. Thus, new therapeutic strategy for HRP EOC is desired. In recent clinical study, the combination of PARP inhibitors with anti-angiogenic agents improved therapeutic efficacy, even in HRP cases. These data suggested that anti-angiogenic agents might potentiate the response to PARP inhibitors in EOC cells. Here, we demonstrated that anti-angiogenic agents, bevacizumab and cediranib, increased the sensitivity of olaparib in HRP EOC cells by suppressing HR activity. Most of the γ-H2AX foci were co-localized with RAD51 foci in control cells. However, most of the RAD51 were decreased in the bevacizumab-treated cells. RNA sequencing showed that bevacizumab decreased the expression of CRY1 under DNA damage stress. CRY1 is one of the transcriptional coregulators associated with circadian rhythm and has recently been reported to regulate the expression of genes required for HR in cancer cells. We found that the anti-angiogenic agents suppressed the increase of CRY1 expression by inhibiting VEGF/VEGFR/PI3K pathway. The suppression of CRY1 expression resulted in decrease of HR activity. In addition, CRY1 inhibition also sensitized EOC cells to olaparib. These data suggested that anti-angiogenic agents and CRY1 inhibitors will be the promising candidate in the combination therapy with PARP inhibitors in HR-proficient EOC.

Novel Calcium-Binding Ablating Mutations Induce Constitutive RET Activity and Drive Tumorigenesis.

Distinguishing oncogenic mutations from variants of unknown significance (VUS) is critical for precision cancer medicine. Here, computational modeling of 71,756 RET variants for positive selection together with functional assays of 110 representative variants identified a three-dimensional cluster of VUSs carried by multiple human cancers that cause amino acid substitutions in the calmodulin-like motif (CaLM) of RET. Molecular dynamics simulations indicated that CaLM mutations decrease interactions between Ca2+ and its surrounding residues and induce conformational distortion of the RET cysteine-rich domain containing the CaLM. RET-CaLM mutations caused ligand-independent constitutive activation of RET kinase by homodimerization mediated by illegitimate disulfide bond formation. RET-CaLM mutants possessed oncogenic and tumorigenic activities that could be suppressed by tyrosine kinase inhibitors targeting RET. This study identifies calcium-binding ablating mutations as a novel type of oncogenic mutation of RET and indicates that in silico-driven annotation of VUSs of druggable oncogenes is a promising strategy to identify targetable driver mutations. SIGNIFICANCE: Comprehensive proteogenomic and in silico analyses of a vast number of VUSs identify a novel set of oncogenic and druggable mutations in the well-characterized RET oncogene.

Interleukin-6 as an enhancer of anti-angiogenic therapy for ovarian clear cell carcinoma.

Ovarian clear cell carcinoma (OCCC) is a subtype of epithelial ovarian cancer (EOC) that is associated with elevated interleukin-6 (IL-6) expression, resistance to chemotherapy, and increased mortality. Although bevacizumab (Bev) is a widely used anti-angiogenic agent for EOC, the efficacy of Bev and the role of IL-6 in modulating angiogenesis in OCCC are unknown. We performed tube formation assays using human umbilical vein endothelial cells (HUVEC) cultured in OCCC cell-conditioned medium and using cells directly co-cultured with OCCC cells. We observed that IL-6 inhibition significantly mitigated the ability of Bev to impede tube formation in both cases. Furthermore, IL-6 blockade disrupted the anti-angiogenic efficacy of Bev and its concomitant anti-tumor activity. In addition, IL-6 inhibition resulted in a significant increase in angiopoietin-1 (Ang1) secretion and decreased vascular endothelial growth factor (VEGF) expression. Clinical specimens also exhibited this reciprocal relationship between IL-6 and Ang1 expression. Finally, depletion of Ang1 abrogated the effects of IL-6 inhibition on Bev activity, demonstrating that IL-6 supports the anti-angiogenic activity of Bev by suppressing Ang1 expression and promoting dependence on VEGF for angiogenesis. Altogether, our data suggest that OCCC tumors with high IL-6 levels are candidates for Bev therapy.

Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers. EXPERIMENTAL DESIGN: Overall, 334 patients with epithelial ovarian cancer (EOC) and 101 patients with benign ovarian tumors were randomly assigned to "training" and "test" cohorts. Seven supervised machine learning classifiers, including Gradient Boosting Machine (GBM), Support Vector Machine, Random Forest (RF), Conditional RF (CRF), Naïve Bayes, Neural Network, and Elastic Net, were used to derive diagnostic and prognostic information from 32 parameters commonly available from pretreatment peripheral blood tests and age. RESULTS: Machine learning techniques were superior to conventional regression-based analyses in predicting multiple clinical parameters pertaining to EOC. Ensemble methods combining weak decision trees, such as GBM, RF, and CRF, showed the best performance in EOC prediction. The values for the highest accuracy and area under the ROC curve (AUC) for segregating EOC from benign ovarian tumors with RF were 92.4% and 0.968, respectively. The highest accuracy and AUC for predicting clinical stages with RF were 69.0% and 0.760, respectively. High-grade serous and mucinous histotypes of EOC could be preoperatively predicted with RF. An ordinal RF classifier could distinguish complete resection from others. Unsupervised clustering analysis identified subgroups among early-stage EOC patients with significantly worse survival. CONCLUSIONS: Machine learning systems can provide critical diagnostic and prognostic prediction for patients with EOC before initial intervention, and the use of predictive algorithms may facilitate personalized treatment options through pretreatment stratification of patients.

Polypoid endometriosis of the ovary and müllerianosis of pelvic lymph nodes mimicking an ovarian carcinoma with lymph node metastasis.

Polypoid endometriosis is a distinctive variant of endometriosis with histological features simulating those of endometrial polyps. Müllerianosis is characterized by the presence of lesions at any site containing admixtures of endosalpingiosis, endometriosis, and endocervicosis. Here, we report a rare case of polypoid endometriosis of the ovary with müllerianosis of the pelvic lymph nodes in a 44-year-old woman without a past history of pelvic surgery. Magnetic resonance imaging revealed an ovarian tumor containing papillary nodules up to 3.0 cm in diameter and left pelvic lymph node enlargement. Nodules in ovarian tumor showed heterogeneous high intensity on T2-weighted image and high intensity on diffusion-weighted image and were mildly enhanced by gadolinium contrast material. Enlarged lymph node was markedly enhanced by gadolinium. We considered polypoid endometriosis in the differential diagnosis according to the results of the magnetic resonance imaging, and polypoid endometriosis was included in intraoperative consultation, however, ovarian carcinoma with lymph node metastasis could not be denied. According to histological examination, the final diagnosis was determined as polypoid endometriosis with glandular hyperplasia of the left ovary and müllerianosis in the obturator lymph nodes. To the best of our knowledge, this is the first report of polypoid endometriosis and müllerianosis of the pelvic lymph node.