Systemic treatment of newly diagnosed advanced epithelial ovarian cancer: From chemotherapy to precision medicine

Research waste among randomized controlled trials in ovarian cancer: A cross-sectional study

OBJECTIVE

To examine the association between trial characteristics and research waste in randomized controlled trials (RCTs) on ovarian cancer over the past two decades.

METHODS

ClinicalTrials.gov was searched for RCTs registered between 2000 and 2020 using the keyword ovarian cancer. Publication status of RCTs was determined through systematic searches of the PubMed and Google Scholar databases. Reporting adequacy was evaluated using the CONSORT checklist. Design limitations were assessed based on the risk of bias and whether a relevant systematic review was cited in the manuscript. The primary outcome was research waste, defined as an RCT that was unpublished, inadequately reported, or had avoidable design limitations.

RESULTS

Among the 117 RCTs evaluated, 89 (76.1 %) were published as of February 14, 2024. Published RCTs were more likely to be pharmacological, conducted in North America or Europe, have a multicenter or multinational design, have a larger sample size (over 200 participants), and receive external funding (P < 0.05). Among the published RCTs, 73 (82.0 %) and 24 (27.0 %) were considered adequately reported and free from design limitations, respectively. Overall, 96 of the 117 RCTs (82.1 %) were associated with research waste. Factors independently associated with research waste were an open-label design and smaller sample size (P < 0.05).

CONCLUSION

Over 80 % of the RCTs on ovarian cancer demonstrated at least one feature of research waste. Future efforts should focus on minimizing the potential waste in unblinded small-scale RCTs.

The Role of Interleukin 6 (IL6), Cancer Antigen-125 (CA-125), and Human Epididymis Protein 4 (HE4) to predict tumor resectability in the advanced epithelial ovarian cancer patients

INTRODUCTION

A study of tumor resectability in pre-operative patients with advanced epithelial ovarian cancer is required to predict primary surgical benefits accurately. This study aims to investigate IL6, CA-125 and HE4 to predict tumor resectability in the pre-operative patients with advanced epithelial ovarian cancer.

METHODS

This cross-sectional study was conducted in the polyclinic, oncology and gynecology inpatient room of Dr. M. Jamil Padang Hospital from June until December 2022. Advanced epithelial ovarian cancer stage based on histology result from FIGO stages IIIB-IVA. IL6, CA-125, and HE4 were measured using ECLIA (electrochemiluminescence immunoassay). Categorical data were assessed using Chi-square and Mann-Whitney tests. Numerical variable correlations were analyzed using Pearson Correlation tests. While the correlation between numerical and nominal variables was analyzed using the Eta correlation test. A p-value of <0,05 was considered a significant correlation. The cut-off value of serum IL6, CA-125, and HE4 was determined with a ROC curve. The sensitivity and specificity of each clinical parameter were calculated.

RESULTS

There was a significant difference in IL-6 (1328 vs 752 pg/ml; p<0,001), CA-125 (1260,5 vs 819,5 U/ml; p<0,001), and HE4 levels (1320 vs 760 pmol/L; p<0,001) between patients with tumor resectability of > 1 cm (suboptimal) vs < 1 cm (optimal). There was a correlation between IL6 (r = 0,832), CA-125 (r = 0,716), and HE4 (r = 0,716) with tumor resectability.

CONCLUSION

Measuring IL6, CA-125, and HE4 levels is useful for clinicians to predict tumor resectability in pre-operative patients with advanced epithelial ovarian cancer.

New trends in diagnosing and treating ovarian cancer using nanotechnology

Ovarian cancer stands as the fifth most prevalent cancer among women, causing more mortalities than any other disease of the female reproductive system. There are numerous histological subtypes of ovarian cancer, each of which has distinct clinical characteristics, risk factors, cell origins, molecular compositions, and therapeutic options. Typically, it is identified at a late stage, and there is no efficient screening method. Standard therapies for newly diagnosed cancer are cytoreductive surgery and platinum-based chemotherapy. The difficulties of traditional therapeutic procedures encourage researchers to search for other approaches, such as nanotechnology. Due to the unique characteristics of matter at the nanoscale, nanomedicine has emerged as a potent tool for creating novel drug carriers that are more effective and have fewer adverse effects than traditional treatments. Nanocarriers including liposomes, dendrimers, polymer nanoparticles, and polymer micelles have unique properties in surface chemistry, morphology, and mechanism of action that can distinguish between malignant and normal cells, paving the way for targeted drug delivery. In contrast to their non-functionalized counterparts, the development of functionalized nano-formulations with specific ligands permits selective targeting of ovarian cancers and ultimately increases the therapeutic potential. This review focuses on the application of various nanomaterials to the treatment and diagnosis of ovarian cancer, their advantages over conventional treatment methods, and the effective role of controlled drug delivery systems in the therapy of ovarian cancer.

Inflammation Control and Tumor Growth Inhibition of Ovarian Cancer by Targeting Adhesion Molecules of E-Selectin

Objective: The aim is to use E-selectin-binding peptide (ESBP) to actively recognize E-selectin, so allowing a drug delivery system to actively recognize the cells and inhibit the tumor growth of ovarian cancer by targeting adhesion molecules of E-selectin. An ovarian-cancer-directed drug delivery system was designed based on the high affinity of E-selectin-binding peptide (ESBP) to E-selectin. The effects and mechanisms of ESBP-bovine serum albumin (BSA) polymerized nanoparticles were investigated. Methods: BSA polymerized nanoparticles (BSANPs) and ESBP-BSANPs-paclitaxel (PTX) were prepared and their characteristics were measured. The in vitro targetability and cytotoxicity of ESBP-BSANPs-PTX were evaluated through in vitro drug uptake and MTT experiments. The mechanisms of ESBP-BSANPs-PTX were investigated via apoptosis, wound healing and immunohistochemistry assays. The in vivo targeting properties and drug effects were observed in a mouse tumor-bearing model. Results: In vitro experiments revealed an increase in the uptake of ESBP-BSANPs-FITC. The cytotoxicity of ESBP-BSANPs-PTX in A2780/CP70, HUVEC, RAW264.7 and ID8 cells was higher than that of PTX alone. ESBP-BSANPs-PTX increased cell apoptosis in a dose-dependent manner and exhibited a greater ability to inhibit cell migration than BSANPs-PTX. In vivo experiments demonstrated the targetability and good effects of ESBP-BSANPs. Conclusions: ESBP-BSANPs-PTX improve PTX targetability, provide tumor-specific and potent therapeutic activities, and show promise for the development of agents in preclinical epithelial ovarian cancer.

CircSETDB1 contributes to paclitaxel resistance of ovarian cancer cells by sponging miR-508-3p and regulating ABCC1 expression

Ovarian cancer is a gynecological tumor with a poor prognosis. The chemotherapy failure and recurrence induced by paclitaxel (Ptx) resistance are the main reason for the failure of ovarian cancer treatment. In this study, we aimed to explore the role of circular RNA (circRNA) in the regulation of Ptx resistance in ovarian cancer. Quantitative reverse transcription PCR was performed to detect the expression of circRNA SET domain bifurcated histone lysine methyltransferase 1 (circSETDB1), microRNA (miR)-508-3p and ATP-binding cassette subfamily C member 1 ( ABCC1 ) mRNA. The effects of circSETDB1 on Ptx resistance were explored by cell counting kit-8, 5-ethynyl-2'-deoxyuridine, and flow cytometry experiments in vitro . The protein level was assessed by western blot. Dual-luciferase reporter and RNA pull-down assays were carried out to confirm the interactions among circSETDB1, miR-508-3p, and ABCC1 . Xenograft tumor experiment was performed to investigate the effect of circSETDB1 on Ptx resistance in vivo . CircSETDB1 was highly expressed in Ptx-resistant ovarian cancer. CircSETDB1 knockdown inhibited cell proliferation viability, half maximal inhibitory concentration value of Ptx, cell cycle progression, and induced cell apoptosis in Ptx-resistant ovarian cancer cells. miR-508-3p was a target of circSETDB1, and inhibition of miR-508-3p overturned the effects of circSETDB1 knockdown on the Ptx resistance of ovarian cancer cells. miR-508-5p could bind to ABCC1 . Overexpression of ABCC1 reversed the effects of circSETDB1 knockdown on the Ptx resistance of ovarian cancer cells. CircSETDB1 knockdown also enhanced Ptx sensitivity in vivo . In conclusion, circSETDB1 regulated Ptx resistance of ovarian cancer by targeting miR-508-3p/ ABCC1 axis.

Mithplatins: Mithramycin SA-Pt(II) Complex Conjugates for the Treatment of Platinum-Resistant Ovarian Cancers

DNA coordinating platinum (Pt) containing compounds cisplatin and carboplatin have been used for the treatment of ovarian cancer therapy for four decades. However, recurrent Pt-resistant cancers are a major cause of mortality. To combat Pt-resistant ovarian cancers, we designed and synthesized a conjugate of an anticancer drug mithramycin with a reactive Pt(II) bearing moiety, which we termed mithplatin. The conjugates displayed both the Mg2+ -dependent noncovalent DNA binding characteristic of mithramycin and the covalent crosslinking to DNA of the Pt. The conjugate was three times as potent as cisplatin against ovarian cancer cells. The DNA lesions caused by the conjugate led to the generation of DNA double-strand breaks, as also observed with cisplatin. Nevertheless, the conjugate was highly active against both Pt-sensitive and Pt-resistant ovarian cancer cells. This study paves the way to developing mithplatins to combat Pt-resistant ovarian cancers.

Development and Verification of an Autophagy-Related lncRNA Signature to Predict Clinical Outcomes and Therapeutic Responses in Ovarian Cancer

Objective: Long noncoding RNAs (lncRNAs) are key regulators during ovarian cancer initiation and progression and are involved in mediating autophagy. In this study, we aimed to develop a prognostic autophagy-related lncRNA signature for ovarian cancer.

Methods: Autophagy-related abnormally expressed lncRNAs were screened in ovarian cancer with the criteria values of |correlation coefficient| > 0.4 and p < 0.001. Based on them, a prognostic lncRNA signature was established. The Kaplan–Meier overall survival analysis was conducted in high- and low-risk samples in the training, verification, and entire sets, followed by receiver operating characteristics (ROCs) of 7-year survival. Multivariate Cox regression analysis was used for assessing the predictive independency of this signature after adjusting other clinical features. The associations between the risk scores and immune cell infiltration, PD-L1 expression, and sensitivity of chemotherapy drugs were assessed in ovarian cancer.

Results: A total of 66 autophagy-related abnormally expressed lncRNAs were identified in ovarian cancer. An autophagy-related lncRNA signature was constructed for ovarian cancer. High-risk scores were indicative of poorer prognosis compared with the low-risk scores in the training, verification, and entire sets. ROCs of 7-year survival confirmed the well-predictive efficacy of this model. Following multivariate Cox regression analysis, this model was an independent prognostic factor. There were distinct differences in infiltrations of immune cells, PD-L1 expression, and sensitivity of chemotherapy drugs between high- and low-risk samples.

Conclusions: This study constructed an autophagy-related lncRNA signature that was capable of predicting clinical outcomes and also therapeutic responses for ovarian cancer.

Identification of solute-carrier family 27A molecules (SCL27As) as a potential biomarker of ovarian cancer based on bioinformatics and experiments

Background

Ovarian cancer is one of the 3 major gynecological malignancies with high mortality, poor prognosis, and lack of specific diagnostic and prognostic markers. Solute-carrier family 27A molecules (SCL27As) play a crucial role in multiple malignant tumors via the regulation of long-chain fatty acid uptake and subsequent regulation of lipid metabolism. To date, the specific mechanisms and roles of SCL27As in epithelial ovarian cancer (EOC) have remained unclear.

Methods

The Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases and the Kaplan-Meier plotter were used to explore the differential expression and the prognostic value of SCL27As in EOC. The expression of SCL27A6 in 20 normal ovarian tissues and 120 ovarian cancer tissues was detected by immunohistochemistry (IHC). Cell Counting Kit-8 (CCK8) assay and colony-forming experiments were conducted to evaluate the role of SCL27A6 in the proliferation of ovarian cancer cells, so as to verify the clinical application value of SCL27A6 in the diagnosis and prognosis of ovarian cancer. We extracted the data of SCL27A6 for multiple bioinformatics analysis to identify the potential regulatory mechanism of SLC27A6.

Results

The expression levels of SLC27A1 and SLC27A6 were significantly decreased in ovarian cancer tissues. Prognostic analysis showed that SLC27A2, SLC27A4, SLC27A5, and SLC27A6 expression levels were significantly correlated with overall survival (OS) in EOC patients. Moreover, the expression of the SLC27A6 protein was decreased in EOC tissues, which was related to the prognosis. Additionally, knocking down the expression of SLC27A6 could significantly enhance the malignant biological behavior of ovarian cancer cells. The SLC27A6 gene may be involved in the proteasome, cell cycle, Hippo signaling pathway, and so on.

Conclusions

This study revealed the abnormal expression and prognostic value of SLC27As in EOC. In addition, it was highlighted that SLC27A6 may be a novel biomarker for the diagnosis and prognostication of EOC patients.

Differential gene expression identifies a transcriptional regulatory network involving ER-alpha and PITX1 in invasive epithelial ovarian cancer

Background

The heterogeneous subtypes and stages of epithelial ovarian cancer (EOC) differ in their biological features, invasiveness, and response to chemotherapy, but the transcriptional regulators causing their differences remain nebulous.

Methods

In this study, we compared high-grade serous ovarian cancers (HGSOCs) to low malignant potential or serous borderline tumors (SBTs). Our aim was to discover new regulatory factors causing distinct biological properties of HGSOCs and SBTs.

Results

In a discovery dataset, we identified 11 differentially expressed genes (DEGs) between SBTs and HGSOCs. Their expression correctly classified 95% of 267 validation samples. Two of the DEGs, TMEM30B and TSPAN1, were significantly associated with worse overall survival in patients with HGSOC. We also identified 17 DEGs that distinguished stage II vs. III HGSOC. In these two DEG promoter sets, we identified significant enrichment of predicted transcription factor binding sites, including those of RARA, FOXF1, BHLHE41, and PITX1. Using published ChIP-seq data acquired from multiple non-ovarian cell types, we showed additional regulatory factors, including AP2-gamma/TFAP2C, FOXA1, and BHLHE40, bound at the majority of DEG promoters. Several of the factors are known to cooperate with and predict the presence of nuclear hormone receptor estrogen receptor alpha (ER-alpha). We experimentally confirmed ER-alpha and PITX1 presence at the DEGs by performing ChIP-seq analysis using the ovarian cancer cell line PEO4. Finally, RNA-seq analysis identified recurrent gene fusion events in our EOC tumor set. Some of these fusions were significantly associated with survival in HGSOC patients; however, the fusion genes are not regulated by the transcription factors identified for the DEGs.

Conclusions

These data implicate an estrogen-responsive regulatory network in the differential gene expression between ovarian cancer subtypes and stages, which includes PITX1. Importantly, the transcription factors associated with our DEG promoters are known to form the MegaTrans complex in breast cancer. This is the first study to implicate the MegaTrans complex in contributing to the distinct biological trajectories of malignant and indolent ovarian cancer subtypes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08276-8.

Efficacy of a Covalent Microtubule Stabilizer in Taxane-Resistant Ovarian Cancer Models

Ovarian cancer often has a poor clinical prognosis because of late detection, frequently after metastatic progression, as well as acquired resistance to taxane-based therapy. Herein, we evaluate a novel class of covalent microtubule stabilizers, the C-22,23-epoxytaccalonolides, for their efficacy against taxane-resistant ovarian cancer models in vitro and in vivo. Taccalonolide AF, which covalently binds β-tubulin through its C-22,23-epoxide moiety, demonstrates efficacy against taxane-resistant models and shows superior persistence in clonogenic assays after drug washout due to irreversible target engagement. In vivo, intraperitoneal administration of taccalonolide AF demonstrated efficacy against the taxane-resistant NCI/ADR-RES ovarian cancer model both as a flank xenograft, as well as in a disseminated orthotopic disease model representing localized metastasis. Taccalonolide-treated animals had a significant decrease in micrometastasis of NCI/ADR-RES cells to the spleen, as detected by quantitative RT-PCR, without any evidence of systemic toxicity. Together, these findings demonstrate that taccalonolide AF retains efficacy in taxane-resistant ovarian cancer models in vitro and in vivo and that its irreversible mechanism of microtubule stabilization has the unique potential for intraperitoneal treatment of locally disseminated taxane-resistant disease, which represents a significant unmet clinical need in the treatment of ovarian cancer patients.

An Italian National Survey on Ovarian Cancer Treatment at first diagnosis. There's None so Deaf as those who will not Hear

Objective: Epithelial ovarian cancer (EOC) is the most lethal gynecological malignancy, crucial prognostic factors are no gross residual disease and centralization of cases. To evaluate the centralization of EOC patients, we report the results of a survey that shows the daily management of EOC patients in Italy.

Methods: A 49-items electronic unblinded survey assessing demographics, practice characteristics, current opinions and approach to managing advanced EOC at first diagnosis was sent both to general gynecologists (GG) and gynecologic oncologists (GO). Differences in frequency distribution of answers between gynecologists with different expertise were evaluated using Fisher exact test. Multivariable analyses were performed applying generalized linear models.

Results: 84/192 (44%) GG and 108/192 (56%) GO from all Italian regions answered to our survey. GOs declared to perform fertility sparing surgery in early EOC more frequently than GG (p=0.002).

GOs can perform a frozen section and have both a gynecopathologist and a dedicated general surgeon. 89% of GOs consider as “optimal debulking” no gross residual disease and 81% achieve this at upfront cytoreduction in more than 40% of patients. Use of neoadjuvant chemotherapy decreases in higher volume centers (p<0.001) while it is lower in the group of GOs than in the GGs group (p<0.001).

Conclusions: EOC patients are still treated by GGs. GOs perform more upfront surgery and achieve optimal debulking in a greater percentage of patients than GGs. In Italy an adequate centralization of cases has not yet been achieved, and this may have detrimental effects on the quality of treatment.