Epithelial ovarian cancer

TOP2A modulates signaling via the AKT/mTOR pathway to promote ovarian cancer cell proliferation

Ovarian cancer (OC) is a form of gynecological malignancy that is associated with worse patient outcomes than any other cancer of the female reproductive tract. Topoisomerase II α (TOP2A) is commonly regarded as an oncogene that is associated with malignant disease progression in a variety of cancers, its mechanistic functions in OC have yet to be firmly established. We explored the role of TOP2A in OC through online databases, clinical samples, in vitro and in vivo experiments. And initial analyses of public databases revealed high OC-related TOP2A expression in patient samples that was related to poorer prognosis. This was confirmed by clinical samples in which TOP2A expression was elevated in OC relative to healthy tissue. Kaplan-Meier analyses further suggested that higher TOP2A expression levels were correlated with worse prognosis in OC patients. In vitro, TOP2A knockdown resulted in the inhibition of OC cell proliferation, with cells entering G1 phase arrest and undergoing consequent apoptotic death. In rescue assays, TOP2A was confirmed to regulate cell proliferation and cell cycle through AKT/mTOR pathway activity. Mouse model experiments further affirmed the key role that TOP2A plays as a driver of OC cell proliferation. These data provide strong evidence supporting TOP2A as an oncogenic mediator and prognostic biomarker related to OC progression and poor outcomes. At the mechanistic level, TOP2A can control tumor cell growth via AKT/mTOR pathway modulation. These preliminary results provide a foundation for future research seeking to explore the utility of TOP2A inhibitor-based combination treatment regimens in platinum-resistant recurrent OC patients.

The emerging role of circular RNAs in cisplatin resistance in ovarian cancer: From molecular mechanism to future potential

Ovarian cancer (OC) is the most common cause of death in female cancers. The prognosis of OC is very poor due to delayed diagnosis and identification of most patients in advanced stages, metastasis, recurrence, and resistance to chemotherapy. As chemotherapy with platinum-based drugs such as cisplatin (DDP) is the main treatment in most OC cases, resistance to DDP is an important obstacle to achieving satisfactory therapeutic efficacy. Consequently, knowing the different molecular mechanisms involved in resistance to DDP is necessary to achieve new therapeutic approaches. According to numerous recent studies, non-coding RNAs (ncRNAs) could regulate proliferation, differentiation, apoptosis, and chemoresistance in many cancers, including OC. Most of these ncRNAs are released by tumor cells into human fluid, allowing them to be used as tools for diagnosis. CircRNAs are ncRNA family members that have a role in the initiation, progression, and chemoresistance regulation of various cancers. In the current study, we investigated the roles of several circRNAs and their signaling pathways on OC progression and also on DDP resistance during chemotherapy.

CST2 promotes cell proliferation and regulates cell cycle by activating Wnt-β-catenin signalling pathway in serous ovarian cancer

BACKGROUND

Cystatin SA (CST2) plays multiple roles in different types of malignant tumours; however, its role in serous ovarian cancer (SOC) remains unclear. Therefore, we aimed to investigate the expression levels, survival outcomes, immune cell infiltration, proliferation, cell cycle, and underlying molecular mechanisms associated with the CST2 signature in SOC.

METHODS

The Cancer Genome Atlas database was used to acquire clinical information and CST2 expression profiles from patients with SOC. Wilcoxon rank-sum tests were used to compare CST2 expression levels between SOC and normal ovarian tissues. A prognostic assessment of CST2 was conducted using Cox regression analysis and the Kaplan-Meier method. Differentially expressed genes were identified using functional enrichment analysis. Immune cell infiltration was examined using a single-sample gene set enrichment analysis. Cell cycle characteristics and proliferation were assessed using a colony formation assay, flow cytometry, and a cell counting kit-8 assay. Western blots and quantitative reverse transcription PCR analyses were employed to examine CST2 expressions and related genes involved in the cell cycle and the Wnt-β-catenin signalling pathway.

RESULTS

Our findings revealed significant upregulation of CST2 in SOC, and elevated CST2 expression was correlated with advanced clinicopathological characteristics and unfavourable prognoses. Pathway enrichment analysis highlighted the association between the cell cycle and the Wnt signalling pathway. Moreover, increased CST2 levels were positively correlated with immune cell infiltration. Functionally, CST2 played vital roles in promoting cell proliferation, orchestrating the G1-to-S phase transition, and driving malignant SOC progression through activating the Wnt-β-catenin signalling pathway.

CONCLUSIONS

The elevated expression of CST2 may be related to the occurrence and progression of SOC by activating the Wnt-β-catenin pathway. Additionally, our findings suggest that CST2 is a promising novel biomarker with potential applications in therapeutic, prognostic, and diagnostic strategies for SOC.

miR-21 Responsive Nanocarrier Targeting Ovarian Cancer Cells

In recent years, DNA origami-based nanocarriers have been extensively utilized for efficient cancer therapy. However, developing a nanocarrier capable of effectively protecting cargos such as RNA remains a challenge. In this study, we designed a compact and controllable DNA tubular origami (DTO) measuring 120 nm in length and 18 nm in width. The DTO exhibited appropriate structural characteristics for encapsulating and safeguarding cargo. Inside the DTO, we incorporated 20 connecting points to facilitate the delivery of cargoes to various ovarian and normal epithelial cell lines. Specifically, fluorescent-labeled DNA strands were attached to these sites as cargoes. The DTO was engineered to open upon encountering miR-21 through RNA/DNA strand displacement. Significantly, for the first time, we inhibited fluorescence using the compact DNA nanotube and observed dynamic fluorescent signals, indicating the controllable opening of DTO through live-cell imaging. Our results demonstrated that the DTO remained properly closed, exhibited effective internalization in ovarian cancer cells in vitro, showcasing marked differential expression of miR-21, and efficiently opened with short-term exposure to miR-21. Leveraging its autonomous behavior and compact design, the DTO emerges as a promising nanocarrier for various clinically relevant materials. It holds significant application prospects in anti-cancer therapy and the development of flexible biosensors.

Metformin combined with cisplatin reduces anticancer activity via ATM/CHK2-dependent upregulation of Rad51 pathway in ovarian cancer

Ovarian cancer (OC) is the deadliest malignancy of the female reproductive system. The standard first-line therapy for OC involves cytoreductive surgical debulking followed by chemotherapy based on platinum and paclitaxel. Despite these treatments, there remains a high rate of tumor recurrence and resistance to platinum. Recent studies have highlighted the potential anti-tumor properties of metformin (met), a traditional diabetes drug. In our study, we investigated the impact of met on the anticancer activities of cisplatin (cDDP) both in vitro and in vivo. Our findings revealed that combining met with cisplatin significantly reduced apoptosis in OC cells, decreased DNA damage, and induced resistance to cDDP. Furthermore, our mechanistic study indicated that the resistance induced by met is primarily driven by the inhibition of the ATM/CHK2 pathway and the upregulation of the Rad51 protein. Using an ATM inhibitor, KU55933, effectively reversed the cisplatin resistance phenotype. In conclusion, our results suggest that met can antagonize the effects of cDDP in specific types of OC cells, leading to a reduction in the chemotherapeutic efficacy of cDDP.

Molecular mechanisms of cisplatin resistance in ovarian cancer

Ovarian cancer is one of the most common malignant tumors of the female reproductive system. The majority of patients with advanced ovarian cancer are mainly treated with cisplatin-based chemotherapy. As the most widely used first-line anti-neoplastic drug, cisplatin produces therapeutic effects through multiple mechanisms. However, during clinical treatment, cisplatin resistance has gradually emerged, representing a challenge for patient outcome improvement. The mechanism of cisplatin resistance, while known to be complex and involve many processes, remains unclear. We hope to provide a new direction for pre-clinical and clinical studies through this review on the mechanism of ovarian cancer cisplatin resistance and methods to overcome drug resistance.

A quinoline-2-thione derivative as a novel chemotherapy drug candidate displays anti-tumor activity in vitro and in vivo

Ovarian cancer is the fifth most prevalent cancer in women. Chemotherapy is a major treatment option for patients with advanced ovarian cancer (OC). Quinoline-2-thione and its derivatives are potential candidates for tumor therapy. In this study, we investigated the anticancer activity of the quinoline-2-thione derivative KA3D against ovarian cancer. The effect of KA3D on the viability of ovarian cancer cells was evaluated using MTT assay, and its effects on apoptosis and the cell cycle were detected using flow cytometry. Western blotting was performed to identify apoptosis-and cell cycle-related proteins altered by KA3D treatment. A xenograft model was used to verify the inhibitory effect of KA3D in vivo. H&E staining, biochemical indicator detection, and blood cell counts were used to observe the toxicity and side effects of KA3D. KA3D treatment impeded cell viability, induced apoptosis, and impeded the G2 phase of the cell cycle in ovarian cancer cells. Mechanistically, we found that KA3D enhanced the expression of proapoptotic molecules such as BAX and Caspase 3, while antiapoptotic proteins such as BCL2 were inhibited. The G0/G1 phase-related protein cyclin D1 was reduced and the G2 phase-related protein cyclin B1 was upregulated. In vivo, KA3D displayed potent anticancer activity, with no apparent toxicity in BABLC/c nude mice bearing SKOV3 cells. KA3D demonstrated remarkable chemotherapeutic drug efficacy in terms of significant cancer suppression in vitro and in vivo with low toxicity.

LncRNA LINC00261 associates with chemoresistance and clinical prognosis in patients with epithelial ovarian cancer

OBJECTIVE

The purpose of this experiment is to explore the role of long intergenic noncoding RNA 261 (LINC00261) gene in the chemoresistance and clinical prognosis of epithelial ovarian cancer (EOC).

METHODS

We used matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry to detect the methylation levels of the LINC00261 promoter region in EOC patient specimens. The expression levels of LINC00261, miR-545-3p, and MT1M in EOC patients were evaluated by quantitative real-time reverse transcriptase PCR (RT-qPCR). Spearman's correlation analysis was used for relevance analyses and clinical prognosis was counted by Kaplan-Meier analysis. Stable overexpressed LINC00261 SKOV3 cells were established to test the influence of LINC00261 on proliferation, platinum sensitivity, migration, and invasion.

RESULTS

The promoter region methylation level of the LINC00261 was hypermethylated and LINC00261 was significantly downregulated in platinum-resistant EOC tissues. The methylation level of LINC00261was significantly negative correlated with its RNA expression in EOC. Moreover, hypermethylation and lower expression of LINC00261 in EOC patients were related to shorter progression-free survival (PFS) and overall survival (OS). Furthermore, Spearman's correlation analysis showed that the expression of miR-545-3p had a negative relevance with LINC00261. According to the website prediction, MT1M might be the downstream target gene of LINC00261. Expression of MT1M was negatively correlated with miR-545-3p and positively with LINC00261 in EOC tissues. And lower MT1M mRNA expression was correlated with chemotherapy resistance and worse prognosis. In vitro, overexpression of LINC00261 could inhibit cisplatin resistance, proliferation, and suppression of migration and invasion in SKOV3 cells.

CONCLUSIONS

This research indicates that the aberrant hypermethylation and low expression of LINC00261 were associated with platinum resistance and adverse outcomes in EOC patients.

Aging affects regrowth of stealthperitoneal dissemination of advanced ovarian cancer: a multicenter retrospective cohort study

Ovarian cancer (OvCa) is one of the most lethal gynecological malignancies, and most patients are diagnosed at advanced stage with peritoneal dissemination. Although age at diagnosis is considered an independent prognostic factor, its impact on peritoneal recurrence after combined cytoreductive surgery and chemotherapy is not clear. The objective of this study was to investigate the impact of aging on peritoneal recurrence from stealth dissemination and gain insight of the pathophysiology of OvCa in elderly patients. A total of 243 patients with pT2b-pT3 epithelial ovarian who achieved complete surgery, no-residual tumor at first surgery, were selected to be analyzed the risk of peritoneal seeding and recurrence. We found that age over 65 years was independently associated with an increased risk of peritoneum-specific (PS) recurrence (. Furthermore, pT3 stages and positive ascites cytology also worsen the PS-relapse-free survival. Collectively, our findings suggest that age, especially over 65 years, predicts reduced peritoneum-specific tumor recurrence in patients with advanced ovarian cancer after complete cytoreduction surgery, particularly those with pT3 tumors and positive ascites cytology.

SLC45A4 is involved in malignant progression of ovarian cancer through glycolytic metabolic reprogramming

Tumor cells promote malignant behaviors such as proliferation, invasion, and metastasis of cancer cells through glucose metabolic reprogramming, but the role of the H-dependent sugar cotransporter SLC45A4 in regulating metabolic reprogramming in ovarian cancer (OC) remains largely unknown. This study aimed to investigate the effects of SLC45A4 silencing on the transcriptome spectrum of ovarian cancer cells (OCC), glucose uptake, lactic acid production, intracellular ATP levels, and the expression and activity of HIF-α glycolysis signaling pathway. The results showed that SLC45A4 is overexpressed in OC and its elevated expression correlates with adverse clinical outcomes in OC patients. Silencing of SLC45A4 significantly inhibited the proliferation, invasion, and metastasis of OCC by suppressing glucose uptake and glycolysis, and it also reduced the expression of HIF-α glycolysis signaling pathway in OC tissues. In vivo experiments using shRNA to knock down SLC45A4 in xenograft models in nude mice demonstrated a significant inhibition of tumor growth. These findings suggest that SLC45A4 silencing can restrain the malignant progression of OC by inhibiting glucose uptake in OCC and affecting the reprogramming of glycolytic energy metabolism, indicating that SLC45A4 may serve as a potential therapeutic target for OC intervention.

GD2 and GD3 gangliosides as prognostic biomarkers in high grade serous ovarian cancer

OBJECTIVE

Gangliosides GD2 and GD3 have been proposed to be of significance in diagnosis of ovarian masses. We aim to study serum GD2 and GD3 gangliosides as predictors of oncological outcomes among high grade serous (HGS) ovarian cancer (OC).

MATERIALS AND METHODS

A retrospective study including biobanked serum samples of HGS OC treated between 2005 and 2016. Serum GD2 and GD3 concentrations were quantified using indirect ELISA and analyzed with respect to survival.

RESULTS

Sixty patients were included. Patients with GD3>12.8 ng/mL had shorter PFS when compared to patients with lower level; median 31 vs. 67 months, p = 0.005. Patients with GD2> 7.1 ng/mL had shorter median PFS than those with lower level of (23 vs. 52 months, p = 0.024.) Patients with GD3>14.5 ng/mL had shorter OS vs. patients with lower level (median 31 vs. 70 months, p = 0.002). In a Cox regression, following adjustment for age, CA-125, disease stage and age, serum elevated GD3 was independently associated with short PFS (adjusted hazard ratio 2.0, 95 % CI 1.1-3.8, p=.024). In a separate Cox regression, elevated GD2 was independently associated with PFS (adjusted hazard ratio3.0 (1.2-7.7). p=.019. High serum GD3 and GD2 were independently associated with short OS as well.

CONCLUSIONS

High levels of serum GD2 and GD3 in HGS OC were associated with shorter PFS and OS. GD3 is superior to GD2 as a biomarker for prognosis.

Plant-based diet indices and their interaction with ambient air pollution on the ovarian cancer survival: A prospective cohort study

BACKGROUND

Ambient air pollution might serve as a prognostic factor for ovarian cancer (OC) survival, yet the relationships between plant-based diet indices (PDIs) and OC survival remain unclear. We aimed to investigate the associations of comprehensive air pollution and PDIs with OC survival and explored the effects of air pollution-diet interactions.

METHODS

The present study encompassed 658 patients diagnosed with OC. The overall plant-based diet index (PDI), the healthful PDI (hPDI), and the unhealthful PDI (uPDI) were evaluated by a self-reported validated food frequency questionnaire. In addition, an air pollution score (APS) was formulated by summing the concentrations of particulate matter with a diameter of 2.5 microns or less, ozone, and nitrogen dioxide. Cox proportional hazard models were applied to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs). The potential interactions of APS with PDIs in relation to overall survival (OS) were assessed on both multiplicative and additive scales.

RESULTS

Throughout a median follow-up of 37.60 (interquartile: 24.77-50.70) months, 123 deaths were confirmed. Comparing to the lowest tertiles, highest uPDI was associated with lower OS of OC (HR = 2.06, 95 % CI = 1.30, 3.28; P-trend < 0.01), whereas no significant associations were found between either overall PDI or hPDI and OC survival. Higher APS (HR for per interquartile range = 1.27, 95 % CI = 1.01, 1.60) was significantly associated with worse OC survival, and the association was exacerbated by adherence to uPDI. Notably, an additive interaction was identified between combined air pollution and uPDI (P < 0.005 for high APS and high uPDI). We also found that adherence to overall PDI aggravated associations of air pollution with OC survival (P-interaction = 0.006).

CONCLUSIONS

Joint exposure to various ambient air pollutants was significantly associated with lower survival among patients with OC, particularly for those who predominantly consumed unhealthy plant-based foods.

Recombinant humanized type III collagen inhibits ovarian cancer and induces protective anti-tumor immunity by regulating autophagy through GSTP1

Ovarian cancer (OC) is one of the leading causes of death from malignancy in women and lacks safe and efficient treatment. The novel biomaterial, recombinant humanized collagen type III (rhCOLIII), has been reported to have various biological functions, but its role in OC is unclear. This study aimed to reveal the function and mechanism of action of rhCOLIII in OC. We developed an injectable recombinant human collagen (rhCOL)-derived material with a molecular weight of 45 kDa, with a stable triple helix structure, high biocompatibility, water solubility and biosafety. The anti-tumor activity of rhCOLIII was comprehensively evaluated through in vitro and in vivo experiments. In vitro, our results showed that rhCOLIII inhibited the proliferation, migration, and invasion of ovarian cancer cells (OCCs), and induced apoptosis. In addition, rhCOLIII not only inhibited autophagy of OCCs but also increased the expression of MHC-1 molecule within OCCs. To further elucidate the mechanism of rhCOLIII in OC, we conducted joint analysis of RNA-Seq and proteomics, and found that rhCOLIII exerted anti-tumor function and autophagy inhibition by downregulating Glutathione S-transferase P1 (GSTP1). Furthermore, various rescue experiments were designed to demonstrate that rhCOLIII suppressed autophagy and proliferation of OCCs by mediating GSTP1. In vivo, we found that rhCOLIII could inhibit tumor growth and promote CD8+ T cell infiltration. Our results indicate that rhCOLIII has great anti-tumor potential activity in OC, and induces protective anti-tumor immunity by regulating autophagy through GSTP1. These findings illustrate the potential therapeutic prospects of rhCOLIII for OC treatment.

Annonaceae acetogenins: A potential treatment for gynecological and breast cancer

Breast and gynecological cancers are major health concerns due to their increasing incidence rates, and in some cases, their low survival probability. In recent years, multiple compounds of natural origin have been analyzed as alternative treatments for this disease. For instance, Acetogenins are plant secondary metabolites from the Annonaceae family, and its potential anticancer activity has been reported against a wide range of cancer cells both in vitro and in vivo. Several studies have demonstrated promising results of Acetogenins' antitumor capacity, given their selective activity of cellular inhibition at low concentrations. This review outlines the origin, structure, and antineoplastic activities in vitro and in vivo of Acetogenins from Annonaceae against breast cancer and gynecological cancers reported to date. Here, we also provide a systematic summary of the activity and possible mechanisms of action of Acetogenins against these types of cancer and provide references for developing future therapies based on Acetogenins and nanotechnologies.

Endometrioid ovarian carcinoma landscape: pathological and molecular characterization

Endometrioid ovarian cancers (EOvC) are usually managed as serous tumors. In this study, we conducted a comprehensive molecular investigation to uncover the distinct biological characteristics of EOvC. This retrospective multicenter study involved patients from three European centers. We collected clinical data and formalin-fixed paraffin-embedded (FFPE) samples for analysis at the DNA level using panel-based next-generation sequencing and array-comparative genomic hybridization. Additionally, we examined mRNA expression using NanoString nCounter® and protein expression through tissue microarray. We compared EOvC with other ovarian subtypes and uterine endometrioid tumors. Furthermore, we assessed the impact of molecular alterations on patient outcomes, including progression-free survival (PFS) and overall survival (OS). Preliminary analysis of clinical data from 668 patients, including 86 (12.9%) EOvC, revealed more favorable prognosis for EOvC compared with serous ovarian carcinoma (5-year OS of 60% versus 45%; P = 0.001) driven by diagnosis at an earlier stage. Immunohistochemistry and copy number alteration (CNA) profiles of 43 cases with clinical data and FFPE samples available indicated that EOvC protein expression and CNA profiles were more similar to endometrioid endometrial tumors than to serous ovarian carcinomas. EOvC exhibited specific alterations, such as lower rates of PTEN loss, mutations in DNA repair genes, and P53 abnormalities. Survival analysis showed that patients with tumors harboring loss of PTEN expression had worse outcomes (median PFS 19.6 months vs. not reached; P = 0.034). Gene expression profile analysis confirmed that EOvC differed from serous tumors. However, comparison to other rare subtypes of ovarian cancer suggested that the EOvC transcriptomic profile was close to that of ovarian clear cell carcinoma. Downregulation of genes involved in the PI3K pathway and DNA methylation was observed in EOvC. In conclusion, EOvC represents a distinct biological entity and should be regarded as such in the development of specific clinical approaches.

Frizzled 6 endows high-grade serous ovarian cancer with stem-like properties and chemoresistance

Stem-like properties contribute to tumor growth, metastasis, and chemoresistance. High-grade serous ovarian cancer (HGSOC) exhibits a very aggressive phenotype characterized by extensive metastasis, rapid progression, and therapy resistance. Frizzled 6 (FZD6) is overexpressed in HGSOC, and higher levels of FZD6 have been associated with shorter survival times in patients with HGSOC. Functionally, FZD6 promotes HGSOC growth and peritoneal metastasis. It endues HGSOC cells with stem-like properties by modulating POU5F1, ALDH1, and EPCAM. It can also desensitize HGSOC cells to certain chemical drugs. As a putative ligand for FZD6, WNT7B is also implicated in cell proliferation, stem-like properties, invasion and migration, and chemoresistance. SMAD7 is a downstream component of FZD6 signaling that is thought to mediate FZD6-associated phenotypes, at least in part. Therefore, FZD6/WNT7B-SMAD7 can be considered a tumor-promoting signaling pathway in HGSOC that may be responsible for tumor growth, peritoneal metastasis, and chemoresistance.

Current Science and Practice of Surgical and Nonsurgical Opportunities for Ovarian Cancer Prevention

Due to improved understanding of ovarian cancer pathogenesis, we have an unprecedented chance to decrease the burden of disease by maximizing opportunities for prevention. Innovations in surgical options for prevention stem from the discovery that many cases directly or indirectly arise from the fallopian tube. Surgical prevention with salpingectomy alone decreases risk by ≥50%. Effective hormonal and nonhormonal chemopreventive agents are also available. Risk stratification is key to ensuring that options for prevention are appropriately matched to individual risk profile. This evidence-based review provides a critical appraisal of the translational health research endeavors supporting ovarian cancer prevention in clinical practice.

Somatic mutation of targeted sequencing identifies risk stratification in advanced ovarian clear cell carcinoma

BACKGROUND

Ovarian clear cell carcinoma (OCCC) is a unique subtype of epithelial ovarian cancer. Advanced OCCC display a poor prognosis. Therefore, we aimed to make risk stratification for precise medicine.

METHODS

We performed a large next generation sequencing (NGS) gene panel on 44 patients with OCCC in FIGO stage II-IV. Then, by machine learning algorithms, including extreme gradient boosting (XGBoost), random survival forest (RSF), and Cox regression, we screened for feature genes associated with prognosis and constructed a 5-gene panel for risk stratification. The prediction efficacy of the 5-gene panel was compared with FIGO stage and residual disease by receiver operating characteristic curve and decision curve analysis.

RESULTS

The feature mutated genes related to prognosis, selected by machine learning algorithms, include MUC16, ATM, NOTCH3, KMT2A, and CTNNA1. The 5-gene panel can effectively distinguish the prognosis, as well as platinum response, of advanced OCCC in both internal and external cohorts, with the predictive capability superior to FIGO stage and residual disease.

CONCLUSIONS

Mutations in genes, including MUC16, ATM, NOTCH3, KMT2A, and CTNNA1, were associated with the poor prognosis of advanced OCCC. The risk stratification according to these genes demonstrated acceptable prediction power of prognosis and platinum response, suggesting the potential to be a novel target for precision medicine.

Association between pre-diagnosis and post-diagnosis Alternate Mediterranean Diet and ovarian cancer survival: evidence from a prospective cohort study

BACKGROUND

There is currently a lack of comprehensive evidence regarding the correlation between Alternate Mediterranean Diet (AMED) and the survival of patients with ovarian cancer (OC). This prospective cohort study first assessed the association of AMED, not only pre-diagnosis and post-diagnosis but also the change from pre-diagnosis to post-diagnosis with OC survival.

METHODS

A total of 560 OC patients were included in the study, and their dietary intake was assessed using a reliable 111-item food frequency questionnaire. The overall survival (OS) of the patients was monitored through active follow-up and review of medical records until February 16th, 2023. Cox proportional hazard regression models were utilized to compute the hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs).

RESULTS

Out of the total 560 patients with OC, 211 (37.68%) succumbed during a median follow-up period of 44.40 months (interquartile range: 26.97-61.37). Comparative analysis indicated a significant association between the highest tertiles of pre-diagnosis (HR = 0.59; 95% CI 0.38-0.90; Ptrend < 0.05) and post-diagnosis (HR = 0.61; 95% CI 0.41-0.91; Ptrend < 0.05) AMED intake and improved OS as opposed to the lowest tertile. Additionally, a significant linear trend was observed for AMED and OC survival. Notably, decreased intake (more than 5% change) and significantly increased intake (more than 15% change) of AMED from pre-diagnosis to post-diagnosis were linked to worse and better OS, respectively, when compared to the stable intake group (change within 5%). Furthermore, patients displaying consistently higher AMED intake both before and after diagnosis experienced enhanced OS in comparison to those with consistently low AMED intake (HRHigh-High vs. Low-Low = 0.47; 95% CI 0.31-0.70).

CONCLUSION

High pre-diagnosis and post-diagnosis AMED was associated with an improved OS in patients with OC, suggesting that maintaining a consistently high intake of AMED could potentially benefit the prognosis of OC.

PSF-lncRNA interaction as a target for novel targeted anticancer therapies

The Polypyrimidine Tract-Binding Protein-Associated Splicing Factor (PSF), a component of the Drosophila Behavior/Human Splicing (DBHS) complex, plays a pivotal role in cancer pathogenesis. The epigenetic regulation mediated by PSF and long noncoding RNA (lncRNA), along with PSF's alternative splicing activity, has been implicated in promoting cancer cell proliferation, migration, invasion, metastasis, and drug resistance in various human cancers. Recent research highlights the therapeutic promise of targeting the PSF-lncRNA interaction to combat aggressive malignancies, making it a compelling target for cancer therapy. This review offers a detailed synthesis of the current understanding of PSF's role in oncogenic pathways and recent progress in identifying inhibitors of PSF-lncRNA interactions. Furthermore, it discusses the potential of using these inhibitors in cancer treatment strategies, especially as adjuncts to immune checkpoint blockade therapies to improve the efficacy of anti-PD-(L)1 treatments in Glioblastoma Multiforme (GBM). By outlining the interaction patterns of existing PSF-lncRNA inhibitors, this article aims to guide the development and refinement of future pharmacological interventions.

Protocol for quantifying drug sensitivity in 3D patient-derived ovarian cancer models

Three-dimensional (3D) ex vivo cultures allow the study of cancer progression and drug resistance mechanisms. Here, we present a protocol for measuring on-target drug sensitivity in a scaffold-free 3D culture system through quantification of apoptotic tumor cells. We provide detailed steps for sample processing, immunofluorescence staining, semi-high-throughput confocal imaging, and imaged-based quantification of 3D cultures. This protocol is versatile and can be applied in principle to any patient-derived material.

Efficacy and safety of PARP inhibitor maintenance therapy for ovarian cancer: a meta-analysis and trial sequential analysis of randomized controlled trials

Background

The landscape of poly (ADP-ribose) polymerase (PARP) inhibitor treatment for ovarian cancer (OC) is continually evolving. This research aimed to evaluate the efficacy and safety of PARP inhibitors compared to placebo as a maintenance therapy for OC patients.

Methods

We conducted a search of PubMed, Embase, Web of Science, and the Cochrane Library databases for randomized controlled trials (RCTs) involving the use of PARP inhibitors as maintenance therapy in OC patients, up to 16 June 2024. Data regarding progression-free survival (PFS), overall survival (OS), chemotherapy-free interval (CFI), time to first subsequent therapy or death (TFST), time to second subsequent therapy or death (TSST), and treatment-emergent adverse events (TEAEs) were aggregated. Pooled hazard ratio (HR) and their corresponding 95% confidence intervals (CI) were calculated for PFS, OS, CFI, TFST, and TSST. Additionally, the relative risk (RR) and 95% CI for TEAEs were determined.

Results

This meta-analysis encompassed 20 RCTs involving 7,832 participants. The overall analysis demonstrated that maintenance therapy with PARP inhibitors led to significant improvements in PFS (HR: 0.398, 95% CI = 0.339-0.467, 95% PI = 0.219-0.724), OS (HR: 0.677, 95% CI = 0.582-0.788, 95% PI = 0.546-0.839), CFI (HR: 0.417, 95% CI = 0.368-0.472, 95% PI = 0.265-0.627), TFST (HR: 0.441, 95% CI = 0.391-0.498, 95% PI = 0.308-0.632), and TSST (HR: 0.574, 95% CI = 0.507-0.649, 95% PI = 0.488-0.674) compared with placebo. Subgroup analyses further indicated that PARP inhibitor maintenance treatment significantly improved PFS, regardless of homologous recombination status (all p < 0.05). However, the risks of any grade (RR = 1.046, 95% CI = 1.032-1.059, 95% PI = 1.028-1.055) and grade ≥3 TEAEs (RR = 2.931, 95% CI = 2.641-3.253, 95% PI = 2.128-3.792) were increased by PARP inhibitor maintenance therapy compared to placebo.

Conclusion

Our research elucidated the benefits of maintenance therapy with PARP inhibitors in patients with OC, showing improvements in PFS, OS, CFI, TFST, and TSST. Vigilance regarding TEAEs is paramount for clinicians implementing PARP inhibitor maintenance therapy in clinical practice.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024560286.

The role of circular RNA targeting IGF2BPs in cancer-a potential target for cancer therapy

Circular RNAs (circRNAs) are an interesting class of conserved single-stranded RNA molecules derived from exon or intron sequences produced by the reverse splicing of precursor mRNA. CircRNAs play important roles as microRNA sponges, gene splicing and transcriptional regulators, RNA-binding protein sponges, and protein/peptide translation factors. Abnormal functions of circRNAs and RBPs in tumor progression have been widely reported. Insulin-like growth factor-2 mRNA-binding proteins (IGF2BPs) are a highly conserved family of RBPs identified in humans that function as post-transcriptional fine-tuners of target transcripts. Emerging evidence suggests that IGF2BPs regulate the processing and metabolism of RNA, including its stability, translation, and localization, and participate in a variety of cellular functions and pathophysiology. In this review, we have summarized the roles and molecular mechanisms of circRNAs and IGF2BPs in cancer development and progression. In addition, we briefly introduce the role of other RNAs and IGF2BPs in cancer, discuss the current clinical applications and challenges faced by circRNAs and IGF2BPs, and propose future directions for this promising research field.

Pixantrone as a novel MCM2 inhibitor for ovarian cancer treatment

BACKGROUND

Mini-chromosome maintenance protein 2 (MCM2) is a potential target for the development of cancer therapeutics. However, small molecule inhibitors targeting MCM2 need further investigation.

METHODS

Molecular dynamics simulation was performed to identify active pockets in the MCM2 protein structure (6EYC). The active pocket was used as a docking model to discover MCM2 inhibitors by using structure-based virtual screening and surface plasmon resonance (SPR) assay. Furthermore, the efficacy of pixantrone targeting MCM2 in ovarian cancer was evaluated in vitro and in vivo.

RESULTS

Pixantrone was identified as a novel inhibitor of MCM2 by virtual screening. SPR binding affinity analysis confirmed the direct binding of pixantrone to MCM2 protein. Pixantrone significantly reduced the viability of ovarian cancer cells A2780 and SKOV3 in a dose- and time-dependent manner. In addition, pixantrone inhibited DNA replication, and induced cell cycle arrest and apoptosis in ovarian cancer cells via targeting MCM2. Knockdown of MCM2 could attenuate the inhibitory activity of pixantrone in ovarian cancer cells. Furthermore, pixantrone significantly suppressed ovarian cancer growth in the A2780 cell xenograft mouse model and showed favorable safety.

CONCLUSION

These findings suggest that pixantrone may be a promising drug for ovarian cancer patients by targeting MCM2 in the clinic.

The synergistic mechanisms of propofol with cisplatin or doxorubicin in human ovarian cancer cells

BACKGROUND

Most ovarian cancer cases are diagnosed at an advanced stage, leading to poor outcomes and a relatively low 5-year survival rate. While tumor resection in the early stages can be highly effective, recurrence following primary treatment remains a significant cause of mortality. Propofol is a commonly used intravenous anesthetic agent in cancer resection surgery. Previous research has shown that propofol anesthesia was associated with improved survival in patients undergoing elective surgery for epithelial ovarian cancer. However, the underlying antitumor mechanisms are not yet fully understood.

METHODS

This study aimed to uncover the antitumor properties of propofol alone and combined with cisplatin or doxorubicin, in human SKOV3 and OVCAR3 ovarian cancer cells. We applied flowcytometry analysis for mitochondrial membrane potential, apoptosis, and autophagy, colony formation, migration, and western blotting analysis.

RESULTS

Given that chemotherapy is a primary clinical approach for managing advanced and recurrent ovarian cancer, it is essential to address the limitations of current chemotherapy, particularly in the use of cisplatin and doxorubicin, which are often constrained by their side effects and the development of resistance. First of all, propofol acted synergistically with cisplatin and doxorubicin in SKOV3 cells. Moreover, our data further showed that propofol suppressed colony formation, disrupted mitochondrial membrane potential, and induced apoptosis and autophagy in SKOV3 and OVCAR3 cells. Finally, the effects of combined propofol with cisplatin or doxorubicin on mitochondrial membrane potential, apoptosis, autophagy, and epithelial-mesenchymal transition were different in SKOV3 and OVCAR3 cells, depending on the p53 status.

CONCLUSION

In summary, repurposing propofol could provide novel insights into the existing chemotherapy strategies for ovarian cancer. It holds promise for overcoming resistance to cisplatin or doxorubicin and may potentially reduce the required chemotherapy dosages and associated side effects, thus improving treatment outcomes.

Patient-derived acellular ascites fluid affects drug responses in ovarian cancer cell lines through the activation of key signalling pathways

Malignant ascites is commonly produced in advanced epithelial ovarian cancer (EOC) and serves as unique microenvironment for tumour cells. Acellular ascites fluid (AAF) is rich in signalling molecules and has been proposed to play a role in the induction of chemoresistance. Through in vitro testing of drug sensitivity and by assessing intracellular phosphorylation status in response to mono- and combination treatment of five EOC cell lines after incubation with AAFs derived from 20 different patients, we investigated the chemoresistance-inducing potential of ascites. We show that the addition of AAFs to the culture media of EOC cell lines has the potential to induce resistance to standard-of-care drugs (SCDs). We also show that AAFs induce time- and concentration-dependent activation of downstream signalling to signal transducer and activator of transcription 3 (STAT3), and concomitantly altered phosphorylation of mitogen-activated protein kinase kinase (MEK), phosphoinositide 3-kinase (PI3K)-protein kinase B (AKT) and nuclear factor NF-kappa-B (NFκB). Antibodies targeting the interleukin-6 receptor (IL6R) effectively blocked phosphorylation of STAT3 and STAT1. Treatments with SCDs were effective in reducing cell viability in only a third of 30 clinically relevant conditions examined, defined as combinations of drugs, different cell lines and AAFs. Combinations of SCDs and novel therapeutics such as trametinib, fludarabine or rapamycin were superior in another third. Notably, we could nominate effective treatment combinations in almost all conditions except in 4 out of 30 conditions, in which trametinib or fludarabine showed higher efficacy alone. Taken together, our study underscores the importance of the molecular characterisation of individual patients' AAFs and the impact on treatment resistance as providing clinically meaningful information for future precision treatment approaches in EOC.

Immunotherapy for ovarian cancer: towards a tailored immunophenotype-based approach

Despite documented evidence that ovarian cancer cells express immune-checkpoint molecules, such as PD-1 and PD-L1, and of a positive correlation between the presence of tumour-infiltrating lymphocytes and favourable overall survival outcomes in patients with this tumour type, the results of trials testing immune-checkpoint inhibitors (ICIs) in these patients thus far have been disappointing. The lack of response to ICIs can be attributed to tumour heterogeneity as well as inherent or acquired resistance associated with the tumour microenvironment (TME). Understanding tumour immunobiology, discovering biomarkers for patient selection and establishing optimal treatment combinations remains the hope but also a key challenge for the future application of immunotherapy in ovarian cancer. In this Review, we summarize results from trials testing ICIs in patients with ovarian cancer. We propose the implementation of a systematic CD8+ T cell-based immunophenotypic classification of this malignancy, followed by discussions of the preclinical data providing the basis to treat such immunophenotypes with combination immunotherapies. We posit that the integration of an accurate TME immunophenotype characterization with genetic data can enable the design of tailored therapeutic approaches and improve patient recruitment in clinical trials. Lastly, we propose a roadmap incorporating tissue-based profiling to guide future trials testing adoptive cell therapy approaches and assess novel immunotherapy combinations while promoting collaborative research.

Comprehensive Analysis of CCAAT/Enhancer Binding Protein Family in Ovarian Cancer

Background

Ovarian cancer has brought serious threats to female health. CCAAT/enhancer binding proteins (C/EBPs) are key transcription factors involved in ovarian cancer. Therefore, comprehensive profiling C/EBPs in ovarian cancer is needed.

Methods

A comprehensive analysis concerning C/EBPs in ovarian cancer was performed. Firstly, detailed expression of C/EBP family members was integrally retrieved and then confirmed using immunohistochemistry. The regulatory effects and transcription regulatory functions of C/EBPs were studied by using regulatory network analysis and enrichment analysis. Using survival analysis, receiver operating characteristic curve analysis, and target-disease association analysis, the predictive prognostic value of C/EBPs on survival and drug responsiveness was systematically evaluated. The effects of C/EBPs on tumor immune infiltration were also assessed.

Results

Ovarian cancer tissues expressed increased CEBPA, CEBPB, and CEBPG but decreased CEBPD when compared with normal control tissues. The overall alteration frequency of C/EBPs in ovarian cancer was approaching 30%. C/EBP family members formed a reciprocal regulatory network involving carcinogenesis and had pivotal transcription regulatory functions. C/EBPs could affect survival of ovarian cancer and correlated with poor survival outcomes (OS: HR = 1.40, P = .0053 and PFS: HR = 1.41, P = .0036). Besides, expression of CEBPA, CEBPB, CEBPD, and CEBPE could predict platinum and taxane responsiveness of ovarian cancer. C/EBPs also affected immune infiltration of ovarian cancer.

Conclusions

C/EBPs were closely involved in ovarian cancer and exerted multiple biological functions. C/EBPs could be exploited as prognostic and predictive biomarkers in ovarian cancer.

Anastomotic diversion rates following integration of indocyanine green fluorescence angiography in cytoreductive surgery for ovarian cancer

OBJECTIVE

To compare rates of diverting ileostomy in patients with ovarian cancer, undergoing cytoreduction with bowel resection before and after the acquisition of indocyanine green fluorescence angiographic scans for anastomotic perfusion assessment.

METHODS

A retrospective cohort study of patients with ovarian cancer undergoing bowel resection during cytoreductive surgery between 2010 and 2021. We evaluated whether using indocyanine green fluorescence angiography impacted rates of diverting ileostomy. Baseline characteristics and rates of diversion were compared between those who had indocyanine green fluorescence assessment and those with bowel resection without anastomotic fluorescence assessment.

RESULTS

Overall, 181 patients were included. Of whom, 84 (46%) underwent anastomotic fluorescence assessment following bowel resection, and 97 (54%) had bowel resection without assessment. Mean age of the cohort was 58.2 years and 132 (73%) had stage III disease. There was no difference between groups in rates of diverting ileostomy (41% vs 41%, p=1.0). In a univariable logistic regression, the odds of having an ileostomy were 2.92 times higher in patients undergoing primary surgery than in patients undergoing interval cytoreductive surgery (95% CI 1.25 to 6.85, p=0.013). The use of fluorescence angiography did not predict performing diverting ileostomy (OR=0.97, 95% CI (0.53 to 1.76), p=0.92).

CONCLUSION

In this cohort, the simple introduction of indocyanine green fluorescence angiography had no impact on the rates of anastomotic diversion. Developing a systematic, reproducible diversion protocol with selection criteria that include fluorescence angiography is needed to assess the impact of this surgically innovative tool on the rates of anastomotic diversion in patients with advanced ovarian cancer.

Biomarker-driven targeted therapy in patients with recurrent platinum-resistant epithelial ovarian cancer (BRIGHT): protocol for an open-label, multicenter, umbrella study

BACKGROUND

Platinum-resistant, recurrent ovarian cancer has an abysmal prognosis with limited treatment options. Poly-(ADP-ribose)-polymerase (PARP), angiogenesis, and immune checkpoint inhibitors might improve the outcomes of platinum-resistant, recurrent ovarian cancer, but accurate patient selections for those therapies remain a significant clinical challenge.

PRIMARY OBJECTIVE

To evaluate the efficacy and safety of biomarker-driven combinatorial therapies of pamiparib, tislelizumab, bevacizumab, and nab-paclitaxel in platinum-resistant, recurrent ovarian cancer.

STUDY HYPOTHESIS

A precision medicine combination of PARP inhibitors, anti-angiogenic therapy, immunotherapy, and chemotherapy will improve disease outcomes of platinum-resistant, recurrent ovarian cancer by accounting for genomic and immunologic features.

TRIAL DESIGN

The BRIGHT Trial is a prospective, open-label, multicenter, phase II, umbrella study planning to enroll 160 patients with serous, endometrioid, or clear cell platinum-resistant, recurrent ovarian cancer from 11 clinical centers in China. Patients are assigned to one of three experimental arms based on biomarkers. Patients with BRCA1/2 mutations will receive pamiparib plus bevacizumab (arm 1, n=40) regardless of CD8+ tumor-infiltrating lymphocytes count. Patients with wild-type BRCA1/2 (BRCAwt) and ≥3 CD8+ tumor-infiltrating lymphocytes count will receive the combination of tislelizumab, bevacizumab, and nab-paclitaxel (arm 2, n=50), while BRCAwt patients with <3 CD8+ tumor-infiltrating lymphocytes count will receive bevacizumab plus dose-dense nab-paclitaxel (arm 3, n=50). After completing patient enrollment in arm 2, another 20 BRCAwt patients with ≥3 CD8+ tumor-infiltrating lymphocytes count will be included as an arm 2 expansion. Treatment will continue until disease progression or intolerable toxicity, and all adverse events will be recorded.

MAJOR INCLUSION/EXCLUSION CRITERIA

Eligible patients include those aged ≥18 with serous, endometrioid, or clear cell ovarian cancer, platinum-resistant recurrence, and Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1.

PRIMARY ENDPOINT

Objective response rate (ORR) assessed by the investigators by the RECIST 1.1 criteria.

SAMPLE SIZE

160 patients.

ESTIMATED DATES FOR COMPLETING ACCRUAL AND PRESENTING RESULTS

Recruitment is estimated to be completed by 2024 and results may be published by 2027.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT05044871.

Next-generation chemotherapy treatments based on black hole algorithms: From cancer remission to chronic disease management

PROBLEM

Therapeutic planning strategies have been developed to enhance the effectiveness of cancer drugs. Nevertheless, their performance is highly limited by the inefficient biological representativeness of predictive tumor growth models, which hinders their translation to clinical practice.

OBJECTIVE

This study proposes a disruptive approach to oncology based on nature-inspired control using realistic Black Hole physical laws, in which tumor masses are trapped to experience attraction dynamics on their path to complete remission or to become a chronic disease. This control method is designed to operate independently of individual patient idiosyncrasies, including high tumor heterogeneities and highly uncertain tumor dynamics, making it a promising avenue for advancing beyond the limitations of the traditional survival probabilistic paradigm.

DESIGN

Here, we provide a multifaceted study of chemotherapy therapeutic planning that includes: (1) the design of a pioneering controller algorithm based on physical laws found in the Black Holes; (2) investigation of the ability of this controller algorithm to ensure stable equilibrium treatments; and (3) simulation tests concerning tumor volume dynamics using drugs with significantly different pharmacokinetics (Cyclophosphamide and Atezolizumab), tumor volumes (200 mm3 and 12 732 mm3) and modeling characterizations (Gompertzian and Logistic tumor growth models).

RESULTS

Our results highlight the ability of this new astrophysical-inspired control algorithm to perform effective chemotherapy treatments for multiple tumor-treatment scenarios, including tumor resistance to chemotherapy, clinical scenarios modelled by time-dependent parameters, and highly uncertain tumor dynamics.

CONCLUSIONS

Our findings provide strong evidence that cancer therapy inspired by phenomena found in black holes can emerge as a disruptive paradigm. This opens new high-impacting research directions, exploring synergies between astrophysical-inspired control algorithms and Artificial Intelligence applied to advanced personalized cancer therapeutics.

Patient and clinician priorities for information on treatment outcomes for advanced ovarian cancer: a Delphi exercise

OBJECTIVE

Patients with advanced ovarian cancer face a range of treatment options, and there is unwarranted variation in treatment decision-making between UK providers. Decision support tools that produce data on treatment outcomes as a function of individual patient characteristics, would help both patients and clinicians to make informed, preference- and values-based choices. However, data on treatment outcomes to include in such tools are lacking.

METHODS

Following a literature review, a questionnaire was designed for use in a Delphi process to establish which treatment outcomes are important to both patients and clinicians in decision-making for treatment for advanced ovarian cancer. Patient and clinician panels were established.

RESULTS

Following 2 Delphi rounds, consensus was achieved for 7/11 items in the patient panel and 8/11 items in the clinician panel. Consensus across both panels was achieved for inclusion of both overall survival and progression free survival as important items in the decision-making process, although there remained differences of opinion as to whether these should be presented as relative or absolute values.

CONCLUSION

Information needs for treatment decision-making in ovarian cancer differ between and within patient and clinician groups. Whilst overall survival and progression free survival are universally accepted as important data items, decision support tools will need to be nuanced to allow presentation of a range of outcomes and associated probabilities, and in a range of formats, that can be tailored to the preferences of clinician and patients.

The impact of laterality on the incidence and prognosis of epithelial ovarian cancer

INTRODUCTION

Epithelial ovarian cancer (EOC) is the most prevalent type of ovarian cancer, yet the impact of ovarian laterality has received limited attention.

MATERIALS AND METHODS

We conducted a comprehensive investigation into the impact of laterality (left-right and bilateral-unilateral) on EOC incidence and prognosis, focusing on distinct subtypes. Binomial tests and Pearson's χ2 tests were employed to compare occurrence rates among laterality groups. Cox regression analyses were used to create a proportional hazards model for tumor prognosis. Nomograms were developed and validated, including internal validation via bootstrapping.

RESULTS

Our study encompassed 20,790 EOC patients, revealing disparities in incidence and prognosis between unilateral and bilateral cases. Unilateral tumor development was notably predominant in clear cell, endometrioid, brenner, and mucinous subtypes, while bilateral involvement was more frequent in serous ovarian cancer. Laterality differences, reflecting disparities between the left and right sides, were chiefly evident in the incidence rates across various stages and in the prognosis of specific subtypes. Notably, mucinous ovarian cancer exhibited significantly better prognosis on the right side compared to the left (right tumors: HR = 0.745, p = 0.015, CI: 0.587-0.945).

CONCLUSION

These findings emphasize the importance of considering ovarian laterality -both left-right and bilateral-unilateral aspects -as a critical factor influencing EOC incidence and prognosis, necessitating attention in clinical practice.

Prediction of postoperative residual primary ovarian neoplasm or metastatic lesion close to rectum of serous ovarian carcinoma based on clinical and MR T1-DEI features

BACKGROUND

The optimal primary debulking surgery outcome of serous ovarian carcinoma (SOC) is greatly affected by primary ovarian neoplasm or metastatic lesion close to the rectum.

PURPOSE

To study the risk factors affecting postoperative residual primary ovarian neoplasm or metastatic lesion close to the rectum of SOC.

MATERIAL AND METHODS

The clinical and MRI data of 164 patients with SOC eligible from institution A (training and test groups) and 36 patients with SOC eligible from institution B (external validation group) were collected and retrospectively analyzed. The clinical data included age, serum carbohydrate antigen 125 (CA-125), human epididymis protein 4, and neutrophil-to-lymphocyte ratio (NLR). Magnetic resonance imaging (MRI) data included ovarian mass distribution, maximum diameter of ovarian mass, ovarian mass features, degree of rectal invasion of the primary ovarian neoplasm or metastatic lesion, and amount of ascites. A model was established using multivariate logistic regression.

RESULTS

By univariate and multivariate logistic regressions, CA-125 (P = 0.024, odds ratio [OR] = 3.798, 95% confidence interval [CI] = 1.24-13.32), NLR (P = 0.037, OR = 3.543, 95% CI = 1.13-12.72), and degree of rectal invasion of the primary ovarian neoplasm or metastatic lesion (P < 0.001, OR = 37.723, 95% CI = 7.46-266.88) were screened as independent predictors. The area under the curve values of the model in the training, test, and external validation groups were 0.860, 0.764, and 0.778, respectively.

CONCLUSION

The clinical-radiological model based on T1-weighted dual-echo MRI can be used non-invasively to predict postoperative residual ovarian neoplasm or metastasis close to SOC in the rectum.

Germline BRCA pathogenic variants in patients with ovarian cancer and post-poly (ADP-ribose) polymerase inhibitor myeloid neoplasms

BACKGROUND

Among patients with advanced high-grade ovarian carcinoma (aHGOC) treated with poly (ADP-ribose) polymerase (PARP) inhibitors (PARPis), the presence of a germline BRCA pathogenic variant (gBRCA-PV) may increase the risk of bone marrow mutagenesis resulting in postcytotoxic therapy myelodysplastic neoplasms (MDS-pCT) or acute myeloid leukemia (AML-pCT), as it is expressed in heterozygosity also by hematopoietic progenitors. We aimed to investigate the occurrence of post-PARPi MDSs/AMLs-pCTs according to gBRCA-PV status.

PATIENTS AND METHODS

We conducted a retrospective single-center study to evaluate MDS/AML-pCT in patients with aHGOC and a known gBRCA-PV status receiving at least 8 weeks of maintenance PARPi, in any line of therapy, from February 2017 to December 2022. The endpoint was the proportion of patients who experienced MDSs-pCT and AMLs-pCT during and after treatment with PARPi, in gBRCA-PV carriers and non-carriers.

RESULTS

A total of 166 patients were included: 95 (57%) had a gBRCA-PV and 72% received PARPi for recurrent disease. The number of lines of chemotherapies before and after PARPi, median overall survival, and median follow-up were comparable between gBRCA-PV carriers and non-carriers. After a median follow-up of 40.0 (95% confidence interval: 35.7-44.3) months, 10 (6%) patients were diagnosed with an MDS-pCT and 4 (2%) with an AML-pCT. A higher proportion of MDSs/AMLs-pCT (10% versus 2%; P = 0.16) and, in particular, of MDSs-pCT (9% versus 1%; P = 0.04) was observed among gBRCA-PV carriers.

CONCLUSIONS

The presence of a gBRCA-PV is associated with a higher risk of MDS-pCT and possibly of myeloid neoplasms after PARPi in patients with aHGOC who received PARPi, especially in the setting of recurrent disease.

The selenoenzyme type I iodothyronine deiodinase: a new tumor suppressor in ovarian cancer

The selenoenzyme type I iodothyronine deiodinase (DIO1) catalyzes removal of iodine atoms from thyroid hormones. Although DIO1 action is reported to be disturbed in several malignancies, no work has been conducted in high-grade serous ovarian carcinoma (HGSOC), the most lethal gynecologic cancer. We studied DIO1 expression in HGSOC patients [The Cancer Genome Atlas (TCGA) data and tumor tissues], human cell lines (ES-2 and Kuramochi), normal Chinese hamster ovarian cells (CHO-K1), and normal human fallopian tube cells (FT282 and FT109). To study its functional role, DIO1 was overexpressed, inhibited [by propylthiouracil (PTU)], or knocked down (KD), and cell count, proliferation, apoptosis, cell viability, and proteomics analysis were performed. Lower DIO1 levels were observed in HGSOC compared to normal cells and tissues. TCGA analyses confirmed that low DIO1 mRNA expression correlated with worse survival and therapy resistance in patients. Silencing or inhibiting the enzyme led to enhanced ovarian cancer proliferation, while an opposite effect was shown following DIO1 ectopic expression. Proteomics analysis in DIO1-KD cells revealed global changes in proteins that facilitate tumor metabolism and progression. In conclusion, DIO1 expression and ovarian cancer progression are inversely correlated, highlighting a tumor suppressive role for this enzyme and its potential use as a biomarker in this disease.

PpIX-enabled fluorescence-based detection and photodynamic priming of platinum-resistant ovarian cancer cells under fluid shear stress

Over 75% percent of ovarian cancer patients are diagnosed with advanced-stage disease characterized by unresectable intraperitoneal dissemination and the presence of ascites, or excessive fluid build-up within the abdomen. Conventional treatments include cytoreductive surgery followed by multi-line platinum and taxane chemotherapy regimens. Despite an initial response to treatment, over 75% of patients with advanced-stage ovarian cancer will relapse and succumb to platinum-resistant disease. Recent evidence suggests that fluid shear stress (FSS), which results from the movement of fluid such as ascites, induces epithelial-to-mesenchymal transition and confers resistance to carboplatin in ovarian cancer cells. This study demonstrates, for the first time, that FSS-induced platinum resistance correlates with increased cellular protoporphyrin IX (PpIX), the penultimate downstream product of heme biosynthesis, the production of which can be enhanced using the clinically approved pro-drug aminolevulinic acid (ALA). These data suggest that, with further investigation, PpIX could serve as a fluorescence-based biomarker of FSS-induced platinum resistance. Additionally, this study investigates the efficacy of PpIX-enabled photodynamic therapy (PDT) and the secretion of extracellular vesicles under static and FSS conditions in Caov-3 and NIH:OVCAR-3 cells, two representative cell lines for high-grade serous ovarian carcinoma (HGSOC), the most lethal form of the disease. FSS induces resistance to ALA-PpIX-mediated PDT, along with a significant increase in the number of EVs. Finally, the ability of PpIX-mediated photodynamic priming (PDP) to enhance carboplatin efficacy under FSS conditions is quantified. These preliminary findings in monolayer cultures necessitate additional studies to determine the feasibility of PpIX as a fluorescence-based indicator, and mediator of PDP, to target chemoresistance in the context of FSS.

Constraint-based modelling predicts metabolic signatures of low and high-grade serous ovarian cancer

Ovarian cancer is an aggressive, heterogeneous disease, burdened with late diagnosis and resistance to chemotherapy. Clinical features of ovarian cancer could be explained by investigating its metabolism, and how the regulation of specific pathways links to individual phenotypes. Ovarian cancer is of particular interest for metabolic research due to its heterogeneous nature, with five distinct subtypes having been identified, each of which may display a unique metabolic signature. To elucidate metabolic differences, constraint-based modelling (CBM) represents a powerful technology, inviting the integration of 'omics' data, such as transcriptomics. However, many CBM methods have not prioritised accurate growth rate predictions, and there are very few ovarian cancer genome-scale studies. Here, a novel method for CBM has been developed, employing the genome-scale model Human1 and flux balance analysis, enabling the integration of in vitro growth rates, transcriptomics data and media conditions to predict the metabolic behaviour of cells. Using low- and high-grade ovarian cancer, subtype-specific metabolic differences have been predicted, which have been supported by publicly available CRISPR-Cas9 data from the Cancer Cell Line Encyclopaedia and an extensive literature review. Metabolic drivers of aggressive, invasive phenotypes, as well as pathways responsible for increased chemoresistance in low-grade cell lines have been suggested. Experimental gene dependency data has been used to validate areas of the pentose phosphate pathway as essential for low-grade cellular growth, highlighting potential vulnerabilities for this ovarian cancer subtype.

Investigating the timing and site of recurrence for ovarian clear cell carcinoma: Analysis of the JGOG/GCIG trial-JGOG 3017-A3

BACKGROUND

This study was conducted to determine the optimal monitoring after initial treatment of ovarian clear cell carcinoma (OCCC) using data from patients enrolled in the Japanese Gynecologic Oncology Group (JGOG) 3017 study. The JGOG study evaluated the efficacy of an irinotecan and cisplatin combination regimen compared with that of a paclitaxel and carboplatin regimen for OCCC patients who underwent primary surgery.

METHODS

Yielding 619 total patients in this study, to analyze progression-free and overall survival, the hazards over time were estimated using kernel smoothing curves to identify the peak of event occurrence. The number of progression events was summed by progression site, and the cumulative incidence proportion was estimated for the major progression sites, considering competing risks.

RESULTS

The peak hazard for progression or death was observed at 12 months post-treatment, and most events were observed by 24 months. The hazard for death peaked at 18 months post-treatment, with most events being observed by 48 months. The hazard for lung, liver, and spleen metastases remained constant for 18 months post-treatment, with a decreasing trend thereafter; most events were observed by 18 months. The hazard for peritoneal dissemination was constant for 12 months, with a decreasing trend thereafter, with most exacerbations observed by 24 months. The risk of pelvic recurrence peaked at 6 months, with most exacerbations observed by 24 months.

DISCUSSION

The incidence of progression events for OCCC peaked at 12 months and most progression events occurred within 24 months. Close follow-up for the initial 24 months post-treatment and fewer visits thereafter may be acceptable. However, closely monitoring symptoms and examining patients based on differences in progression rates at different sites may be important.

FXN targeting induces cell death in ovarian cancer stem-like cells through PRDX3-Mediated oxidative stress

Ovarian cancer stem cells (OCSCs) significantly impact the prognosis, chemoresistance, and treatment outcomes in OC. While ferroptosis has been proven effective against OCSCs, the intricate relationship between ferroptosis and OCSCs remains incompletely understood. Here, we enriched ovarian cancer stem-like cells (OCSLCs) through mammosphere culture, as an OCSC model. OCSLCs displayed heightened ferroptosis susceptibility, correlating with elevated FXN levels compared to non-stem OC cells. FXN has recently emerged as a potential regulator in ferroptosis. FXN knockdown diminished stemness marker nanog, sphere-forming ability, increased reactive oxygen species (ROS) generation, and attenuated OCSLCs viability. FXN overexpression exacerbated ferroptosis resistance and reduced RSL3-induced cell death. FXN knockdown impeded OCSLC xenograft tumor growth and exacerbated the degeneration of peroxiredoxin 3 (PRDX3), a mitochondrial antioxidant protein participates in oxidative stress. Thus, elevated FXN in OCSLCs suppresses ROS accumulation, fostering ferroptosis resistance, and regulates the antioxidant protein PRDX3. FXN emerges as a potential therapeutic target for OC.

Current HRD assays in ovarian cancer: differences, pitfalls, limitations, and novel approaches

Ovarian carcinoma (OC) still represents an insidious and fatal malignancy, and few significant results have been obtained in the last two decades to improve patient survival. Novel targeted therapies such as poly (ADP-ribose) polymerase inhibitors (PARPi) have been successfully introduced in the clinical management of OC, but not all patients will benefit, and drug resistance almost inevitably occurs. The identification of patients who are likely to respond to PARPi-based therapies relies on homologous recombination deficiency (HRD) tests, as this condition is associated with response to these treatments. This review summarizes the genomic and functional HRD assays currently used in clinical practice and those under evaluation, the clinical implications of HRD testing in OC, and their current pitfalls and limitations. Special emphasis will be placed on the functional HRD assays under development and the use of machine learning and artificial intelligence technologies as novel strategies to overcome the current limitations of HRD tests for a better-personalized treatment to improve patient outcomes.

Predicting progression-free survival in patients with epithelial ovarian cancer using an interpretable random forest model

Prognostic models play a crucial role in providing personalised risk assessment, guiding treatment decisions, and facilitating the counselling of patients with cancer. However, previous imaging-based artificial intelligence models of epithelial ovarian cancer lacked interpretability. In this study, we aimed to develop an interpretable machine-learning model to predict progression-free survival in patients with epithelial ovarian cancer using clinical variables and radiomics features. A total of 102 patients with epithelial ovarian cancer who underwent contrast-enhanced computed tomography scans were enrolled in this retrospective study. Pre-surgery clinical data, including age, performance status, body mass index, tumour stage, venous blood cancer antigen-125 (CA125) level, white blood cell count, neutrophil count, red blood cell count, haemoglobin level, and platelet count, were obtained from medical records. The volume of interest for each tumour was manually delineated slice-by-slice along the boundary. A total of 2074 radiomic features were extracted from the pre- and post-contrast computed tomography images. Optimal radiomic features were selected using the Least Absolute Shrinkage and Selection Operator logistic regression. Multivariate Cox analysis was performed to identify independent predictors of three-year progression-free survival. The random forest algorithm developed radiomic and combined models using four-fold cross-validation. Finally, the Shapley additive explanation algorithm was applied to interpret the predictions of the combined model. Multivariate Cox analysis identified CA-125 levels (P = 0.015), tumour stage (P = 0.019), and Radscore (P < 0.001) as independent predictors of progression-free survival. The combined model based on these factors achieved an area under the curve of 0.812 (95 % confidence interval: 0.802-0.822) in the training cohort and 0.772 (95 % confidence interval: 0.727-0.817) in the validation cohort. The most impactful features on the model output were Radscore, followed by tumour stage and CA-125. In conclusion, the Shapley additive explanation-based interpretation of the prognostic model enables clinicians to understand the reasoning behind predictions better.

The TWIK-related acid sensitive potassium 3 (TASK-3) channel contributes to the different effects of anesthetics on the growth and metastasis of ovarian cancer cells

Different anesthetics exert different effects on the long-term outcomes of various cancers. The TWIK-related acid sensitive potassium 3 (TASK-3) channel is an important target of anesthetics and is upregulated in various cancers. However, the role and underlying mechanism of TASK-3 channel in the effects of anesthetics on ovarian cancer remain unknown. Here, we tested whether the TASK-3 channel contributes to the effects of anesthetics on ovarian cancers. We found that the TASK-3 channel was overexpressed in human ovarian cancer and ovarian cancer cell lines. Clinically relevant concentrations of lidocaine, as a TASK-3 channel inhibitor, exert inhibitory effects on tumor growth and metastasis of ovarian cancer cells in vitro and in vivo, whereas the TASK-3 channel potent activator sevoflurane had protumor effects and propofol had no significant effects on tumor growth and metastasis of ovarian cancer. Knockdown of the TASK-3 channel by TASK-3 shRNA attenuated the effects of lidocaine and sevoflurane. Moreover, mitochondrial TASK-3 channel contributes to the effects of lidocaine and sevoflurane on the mitochondrial functions of ovarian cancer. Taken together, the TASK-3 channel, especially the mitochondrial TASK-3 (MitoTASK-3) channel, is a molecular substrate for the effects of lidocaine and sevoflurane on the tumor growth and metastasis of ovarian cancer.

Ascites and Serum Interleukin-10 Levels as a Prognostic Tool for Ovarian Cancer Outcomes

Interleukin-10 (IL-10) has been shown to be present at high levels in the ascites of ovarian cancer (OC) patients; however, little is known about its prognostic value. We sought to correlate IL-10 levels in ascites and sera of OC patients with clinicopathologic characteristics and oncologic outcomes. IL-10 levels and clinical data from biobanked ascites and serum samples of OC patients were evaluated. Receiver operating characteristic curves were used to quantify marker performance and identify IL-10-high and IL-10-low groups. Correlations between IL-10 levels and clinicopathologic data were performed. Survival outcomes were calculated, while the factors affecting them were also investigated. A total of 106 patients had ascites samples, of which 44 serum samples were also available. Mean ascites IL-10 levels were significantly higher in patients with serous histology compared to endometrioid histology (p = 0.024). Fold-change in ascites IL-10 during treatment positively correlated with clinical response, as determined by a change in serum cancer antigen (CA)-125 levels (p = 0.0126). Median progression-free survival (PFS) and overall survival (OS) were shorter in patients with high compared with low ascites IL-10 levels (PFS: 18 versus 60 months; p = 0.007, OS: 42 versus 85 months; p = 0.029). A significant positive correlation was seen between ascites and sera IL-10 levels (p = 0.019). In multivariable analyses, a high ascites IL-10 level was associated with a significantly worse prognosis (PFS hazard ratio (HR) = 1.93; p = 0.02). Patients with high ascites levels of IL-10 have worse outcomes, which are likely reflective of the immunosuppressive effect of IL-10. This highlights its potential role as an immunomodulator in the tumor microenvironment, leading to OC immune evasion.

Potential utility of pretreatment serum miRNAs for optimal treatment selection in advanced high-grade serous ovarian cancer

OBJECTIVE

The primary treatment of patients with advanced ovarian cancer is selected from whether primary debulking surgery or neoadjuvant chemotherapy. We investigated whether pretreatment serum microRNA profiles are useful for selecting patients with advanced high-grade serous ovarian cancer who obtain better outcomes from undergoing primary debulking surgery or neoadjuvant chemotherapy.

METHODS

Consecutive patients with clinical stage IIIB-IVB and serum microRNA data were selected. Patients who underwent primary debulking surgery or neoadjuvant chemotherapy were subjected to 1:1 propensity score matching before comparing their progression-free survival using Cox modelling. Progression-free probabilities for the selected microRNA profiles were calculated, and the estimated progression-free survival with the recommended primary treatment was determined and compared with the actual progression-free survival of the patients.

RESULTS

Of the 108 patients with stage IIIB-IVB disease, the data of 24 who underwent primary debulking surgery or neoadjuvant chemotherapy were compared. Eleven and three microRNAs were independent predictors of progression-free survival in patients who underwent primary debulking surgery and neoadjuvant chemotherapy, respectively. Two microRNAs correlated significantly with complete resection of the tumours in primary debulking surgery. No differences were found between the actual and estimated progression-free survival in the primary debulking surgery and neoadjuvant chemotherapy groups (P > 0.05). The recommended and actual primary treatments were identical in 27 (56.3%) of the 48 patients. The median improved survival times between recommended and actual treatment were 11.7 and 32.6 months for patients with actual primary debulking surgery and neoadjuvant chemotherapy, respectively.

CONCLUSIONS

Pretreatment microRNA profiles could be used to select subgroups of patients who benefited more from primary debulking surgery or neoadjuvant chemotherapy and might contribute to selecting the optimal primary treatment modality in advanced high-grade serous ovarian cancer patients.

The Top Ten Annals of Surgical Oncology Original Articles on Twitter/X: 2020-2023

Social media has become omnipresent in society, especially given that it enables the rapid and widespread communication of news, events, and information. Social media platforms have become increasingly used by numerous surgical societies to promote meetings and surgical journals to increase the visibility of published content. In September 2020, Annals of Surgical Oncology (ASO) established its Social Media Committee (SMC), which has worked to steadily increase the visibility of published content on social media platforms, namely X (formerly known as Twitter). The purpose of this review is to highlight the 10 ASO original articles with the most engagement on X, based on total number of mentions, since the founding of the SMC. These articles encompass a wide variety of topics from various oncologic disciplines including hepatopancreatobiliary, breast, and gynecologic surgery.

Cardiovascular adverse events associated with PARP inhibitors for ovarian cancer: a real world study (RWS) with Bayesian disproportional analysis based on the FDA adverse event reporting system (FAERS)

BACKGROUND

To investigate the pharmacovigilance (PV) and make pairwise comparisons on reporting proportion, seriousness, and severity of outcomes of major adverse cardiovascular events (MACE) among poly(ADP-ribose) polymerase-inhibitors (PARPis) in treating ovarian cancer, fallopian tube carcinoma, and primary peritoneal cancer (collectively named EOC) from the US Food and Drug Administration Adverse Event Reporting System (FAERS).

RESEARCH DESIGN AND METHODS

Data on adverse cardiovascular events reports related to EOC treatment submitted to FAERS from the first quarter of 2015 to the second quarter of 2023 were harvested. Three PARPis were identified: olaparib, niraparib, and rucaparib.

RESULTS

Eventually, a total of 258,596 eligible records were enrolled with 12,331 reports including 5,292 reports of MACE and 7,039 reports of other cardiovascular events. For the primary composite endpoint, a PV signal associated with MACE was detected in niraparib (ROR = 1.12; IC025 = 0.03), whereas it was not detected in olaparib and rucaparib; For the secondary endpoint, PV signals associated with other cardiovascular events were detected in niraparib (ROR = 1.17;IC025 = 0.04), but not in olaparib and rucaparib.

CONCLUSIONS

For EOC patients, close monitoring of blood pressure, heart rate, and coagulation function should be conducted when selecting niraparib for treatment.

YBX1 promotes homologous recombination and resistance to platinum-induced stress in ovarian cancer by recognizing m5C modification

Platinum-based chemotherapy causes genetic damage and induces apoptosis in ovarian cancer cells. Enhancing the ability to resist platinum drug-induced DNA damage and apoptotic stress is critical for tumor cells to acquire drug resistance. Here, we found that Y-box binding protein 1 (YBX1) was highly expressed in cisplatin-resistant patient-derived organoids (PDOs) and was a crucial gene for alleviating platinum-induced stress and maintaining drug resistance characteristics in ovarian cancer cells. Mechanistically, YBX1 recognized m5C modifications in CHD3 mRNA and maintained mRNA stability by recruiting PABPC1 protein. This regulatory process enhanced chromatin accessibility and improved the efficiency of homologous recombination (HR) repair, facilitating tumor cells to withstand platinum-induced apoptotic stress. In addition, SU056, an inhibitor of YBX1, exhibited the potential to reverse platinum resistance in subcutaneous and PDO orthotopic xenograft models. In conclusion, YBX1 is critical for ovarian cancer cells to alleviate the platinum-induced stress and may be a potential target for reversing drug-resistant therapies.

Emerging role of mucins in antibody drug conjugates for ovarian cancer therapy

Ovarian cancer stands as the deadliest gynecologic malignancy, responsible for nearly 65% of all gynecologic cancer-related deaths. The challenges in early detection and diagnosis, coupled with the widespread intraperitoneal spread of cancer cells and resistance to chemotherapy, contribute significantly to the high mortality rate of this disease. Due to the absence of specific symptoms and the lack of effective screening methods, most ovarian cancer cases are diagnosed at advanced stages. While chemotherapy is a common treatment, it often leads to tumor recurrence, necessitating further interventions. In recent years, antibody-drug conjugates (ADCs) have emerged as a valuable tool in targeted cancer therapy. These complex biotherapeutics combine an antibody that specifically targets tumor specific/associated antigen(s) with a high potency anti-cancer drug through a linker, offering a promising approach for ovarian cancer treatment. The identification of molecular targets in various human tumors has paved the way for the development of targeted therapies, with ADCs being at the forefront of this innovation. By delivering cytotoxic agents directly to tumors and metastatic lesions, ADCs show potential in managing chemo-resistant ovarian cancers. Mucins such as MUC16, MUC13, and MUC1 have shown significantly higher expression in ovarian tumors as compared to normal and/or benign samples, thus have become promising targets for ADC generation. While traditional markers are limited by their elevated levels in non-cancerous conditions, mucins offer a new possibility for targeted treatment in ovarian cancer. This review comprehensively described the potential of mucins for the generation of ADC therapy, highlighting their importance in the quest to improve the outcome of ovarian cancer patients.