The comparison of functional status and health-related parameters in ovarian cancer survivors with healthy controls

PURPOSE

The primary purpose of this study was to evaluate functional status and health-related parameters in ovarian cancer (OC) survivors and to compare these parameters with healthy controls. The secondary purpose of this study was to compare these parameters in early and advanced OC survivors.

METHODS

Thirty-two OC survivors (n = 15 early stage; n = 17 advanced stage) with no evidence/suspicion of cancer recurrence after completing adjuvant local and systemic treatments for at least 12 months and 32 healthy controls were recruited for functional- and health-related assessments. Participants were assessed using the following methods of measuring the following: 6-min walk test (6MWT) for functional exercise capacity, 30-s chair stand test (30 s-CST) for functional fitness and muscle endurance, a handheld dynamometer for peripheral muscle strength, and a handheld dynamometer for lower extremity strength, Medical Micro RPM for respiratory muscle strength, International Physical Activity Questionnaire-Short Form (IPAQ-SF) for physical activity level, and Eastern Cooperative Oncology Group Performance Scale (ECOG-PS) for performance status, Checklist Individual Strength (CIS) for fatigue, Treatment/Gynecological Oncology-Neurotoxicity (FACT/GOG-NTX) for neuropathy, the Hospital Anxiety and Depression Scale (HADS) for anxiety and depression level, and the World Health Organization-Five Well-Being Index (WHO-5) for generic quality of life.

RESULTS

All OC survivors underwent surgery and chemotherapy, and only 9.4% received radiotherapy in addition to chemotherapy. The median recurrence-free period post-completion of adjuvant treatments was 24.00 (12.00-75.00) months. OC survivors had lower 6MWT (m) (p < 0.001, r = 1.50), peripheral muscle strength (p = 0.005, r = 0.72), knee extension (p < 0.001, r = 1.54), and respiratory muscle strength (maximal inspiratory pressure) (p < 0.001, r = 1.90) (maximal expiratory pressure) (p < 0.001, r = 1.68) compared to healthy controls. HADS-A (p = 0.005, r = 0.75) and CIS scores (p = 0.025, r = 0.59) were also higher in the OC survivors. Early-stage OC survivors had better 6MWT (m) than advanced-stage OC survivors (p = 0.005, r = 1.83). Peripheral muscle strength was lower in advanced-stage OC survivors (p = 0.013, r = 0.92). FACT/GOG-NTX scores were higher in early-stage OC survivors (p < 0.001, r = 1.42). No significant differences were observed between early- and advanced-stage OC survivors in other measures (p < 0.05).

CONCLUSION

The findings suggest functional status, and health-related parameters are negatively affected in OC survivors. Additionally, higher levels of fatigue, neuropathy anxiety, and depression were reported in advanced OC survivors.

An immune-related exosome signature predicts the prognosis and immunotherapy response in ovarian cancer

BACKGROUND

Cancer-derived exosomes contribute significantly in intracellular communication, particularly during tumorigenesis. Here, we aimed to identify two immune-related ovarian cancer-derived exosomes (IOCEs) subgroups in ovarian cancer (OC) and establish a prognostic model for OC patients based on immune-related IOCEs.

METHODS

The Cancer Genome Atlas (TCGA) database was used to obtain RNA-seq data, as well as clinical and prognostic information. Consensus clustering analysis was performed to identify two IOCEs-associated subgroups. Kaplan-Meier analysis was used to compare the overall survival (OS) between IOCEs-high and IOCEs-low subtype. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted to investigate the mechanisms and biological effects of differentially expressed genes (DEGs) between the two subtypes. Besides, an IOCE-related prognostic model of OC was constructed by Lasso regression analysis, and the signature was validated using GSE140082 as the validation set.

RESULTS

In total, we obtained 21 differentially expressed IOCEs in OC, and identified two IOCE-associated subgroups by consensus clustering. IOCE-low subgroup showed a favorable prognosis while IOCE-high subgroup had a higher level of immune cell infiltration and immune response. GSEA showed that pathways in cancer and immune response were mainly enriched in IOCE-high subgroup. Thus, IOCE-high subgroup may benefit more in immunotherapy treatment. In addition, we constructed a risk model based on nine IOCE-associated genes (CLDN4, AKT2, CSPG5, ALDOC, LTA4H, PSMA2, PSMA5, TCIRG1, ANO6).

CONCLUSION

We developed a novel stratification system for OV based on IOCE signature, which could be used to estimate the prognosis as well as immunotherapy for OC patient.

Electroconvulsive therapy for catatonia in anti-NMDA receptor encephalitis: A case series

BACKGROUND

Anti-NMDAR encephalitis is the most common cause of immune-mediated catatonia.

CASE SERIES

Three females presented with neuropsychiatric symptoms and were empirically treated with first-line immunotherapy and ovarian teratoma resection for suspected autoimmune encephalitis, preceding diagnostic confirmation via NMDAR antibody positivity. They required escalating large doses of benzodiazepines for refractory malignant catatonia resulting in ICU level care. ECT treatments were initiated, and patients were gradually noted to have clinical improvement as was measured by the Bush-Francis Catatonia Rating Scale.

CONCLUSIONS

Clinicians should recognize catatonia among patients with suspected anti-NMDAR encephalitis and consider the early implementation of ECT into treatment algorithms.

Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning

Ovarian cancer, a potentially life-threatening disease, is often difficult to treat. There is a critical need for innovations that can assist in improved therapy selection. Although deep learning models are showing promising results, they are employed as a "black-box" and require enormous amounts of data. Therefore, we explore the transferable and interpretable prediction of treatment effectiveness for ovarian cancer patients. Unlike existing works focusing on histopathology images, we propose a multimodal deep learning framework which takes into account not only large histopathology images, but also clinical variables to increase the scope of the data. The results demonstrate that the proposed models achieve high prediction accuracy and interpretability, and can also be transferred to other cancer datasets without significant loss of performance.

Health-related quality of life, patient-centred communication and self-efficacy in ovarian cancer: a mediation analysis

OBJECTIVE

To assess the role of self-efficacy as a mediator of the association between patient-centred communication (PCC) and health-related quality of life (HRQoL) in a sample of participants with ovarian cancer.

METHODS

English-speaking adults with ovarian cancer completed a cross-sectional survey. We assessed self-efficacy with the Self-Efficacy for Managing Chronic Disease scale, PCC with the Patient-Centred Communication in Cancer Care-36, and HRQoL with the Functional Assessment of Cancer Therapy-General. We used the PROCESS macro to calculate regression coefficients for the total effect of PCC on HRQoL and direct effect of PCC on HRQoL. We calculated a 95% CI for the indirect effect of PCC on HRQoL using 10 000 bootstrapped samples.

RESULTS

The total effect of PCC on HRQoL (9.47, 95% CI 6.21 to 12.74) was greater than the direct effect of PCC on HRQoL (3.47, 95% CI 0.73 to 6.21). The indirect effect of PCC on HRQoL was 6.00 (95% CI 3.56 to 8.95). Self-efficacy explained approximately 63.4% of the association between PCC and HRQoL.

CONCLUSIONS

Self-efficacy partially mediated the association between PCC and HRQoL. Self-efficacy is a potential target for communication interventions that aim to improve HRQoL. Research to validate this finding in the setting of a randomised trial is warranted.

Vdelta1 T cells are more resistant than Vdelta2 T cells to the immunosuppressive properties of galectin-3

Ovarian carcinomas have the highest lethality amongst gynecological tumors. A problem after primary resection is the recurrence of epithelial ovarian carcinomas which is often associated with chemotherapy resistance. To improve the clinical outcome, it is of high interest to consider alternative therapy strategies. Due to their pronounced plasticity, γδ T cells are attractive for T-cell-based immunotherapy. However, tumors might escape by the release of lectin galectin-3, which impairs γδ T-cell function. Hence, we tested the effect of galectin-3 on the different γδ T-cell subsets. After coculture between ovarian tumor cells and Vδ1 or Vδ2 T cells enhanced levels of galectin-3 were released. This protein did not affect the cytotoxicity of both γδ T-cell subsets, but differentially influenced the proliferation of the two γδ T-cell subsets. While increased galectin-3 levels and recombinant galectin-3 inhibited the proliferation of Vδ2 T cells, Vδ1 T cells were unaffected. In contrast to Vδ1 T cells, the Vδ2 T cells strongly upregulated the galectin-3 binding partner α3β1-integrin after their activation correlating with the immunosuppressive properties of galectin-3. In addition, galectin-3 reduced the effector memory compartment of zoledronate-activated Vδ2 T cells. Therefore, our data suggest that an activation of Vδ1 T-cell proliferation as part of a T-cell-based immunotherapy can be of advantage.

Case report: Interstitial implantation radiotherapy combined with immunotherapy and GM-CSF in oligometastatic platinum-resistant ovarian cancer

Background

Treatment for platinum-resistant ovarian cancer is challenging. Currently, platinum-resistant ovarian cancer is typically treated with non-platinum single-agent chemotherapy ± bevacizumab, but the prognosis is often extremely poor. In the treatment of platinum-resistant ovarian cancer patients, reports of triple therapy with interstitial implantation radiotherapy combined with immunotherapy and granulocyte-macrophage colony-stimulating factor (GM-CSF) (PRaG for short) are relatively rare.

Case description

Here, we report a patient with oligometastatic platinum-resistant ovarian cancer. The patient achieved partial response (PR) of the lesion and sustained benefit for more than six months after receiving interstitial implantation radiotherapy combined with immunotherapy along with GM-CSF.

Conclusion

This triple therapy may provide additional options for these patients.

Fear of cancer recurrence in ovarian cancer caregivers: A qualitative study

AIM

Although there is growing research exploring survivor fear of cancer recurrence (FCR), little is known about caregiver FCR. To date, examination of caregiver FCR has largely been conducted through the lens of survivor conceptualisations, limiting the development of caregiver-specific models, measures, and interventions. This study aimed to explore experiences of FCR among caregivers of people with ovarian cancer.

METHODS

Semi-structured telephone interviews were conducted with caregivers of people with ovarian cancer. Participants, recruited through Ovarian Cancer Australia, also completed an online survey collecting participant and patient demographic characteristics, information about the survivor's disease and caregiver levels of FCR using the Fear of Cancer Recurrence Inventory (Caregiver) (FCRI-c). Qualitative interviews explored caregiver fears, how fears and concerns were experienced and the frequency and timing of FCR. Thematic analysis using a Framework Approach was used to analyse the results.

RESULTS

Twenty-four caregivers (54% male) participated in an interview. Most caregivers were providing care for their partner (n = 14). Thematic analysis identified four inter-related themes and associated sub-themes: (1) Fear and uncertainty; (2) Liminality; (3) Hopelessness and (4) Caregiver's protection of the person and self (caregiver's role as protector). Underpinning these themes was an overarching fear of one's family member dying.

CONCLUSIONS

Caregivers supporting people with ovarian cancer experience worries and concerns related to cancer recurrence or progression. These experiences are conceptually different to survivor experiences. Fear of one's family member dying, and the dual nature of caregiver protection/self-protection mean it is imperative that interventions are tailored specifically to caregiver needs. Future research facilitating the development of appropriate measures and interventions is essential to reduce caregiver FCR.

Demographic reporting and language exclusion in gynecologic oncology clinical trials

BACKGROUND

Participation in clinical trials may help mitigate disparate cancer outcomes. Thus, ensuring equitable access to clinical trials is a major priority for national cancer organizations.

OBJECTIVE

This study aimed to examine clinical trial eligibility criteria that may adversely affect the enrollment of underrepresented groups and assess the availability of demographic information in published gynecologic oncology studies.

STUDY DESIGN

ClinicalTrials.gov was searched for gynecologic oncology studies conducted between 1997 and 2021. Each study's inclusion and exclusion criteria were reviewed to determine whether demographic factors were used for enrollment screening. For published studies, demographic variables that were reported were identified. The expected clinical trial enrollment based on disease incidence and mortality was compared with the observed trial enrollment based on race.

RESULTS

There were 1597 gynecologic oncology studies: 883 (55%) from ovarian cancer studies, 336 (21%) from cervical cancer studies, 262 (17%) from uterine cancer studies, and 116 (7%) from multisite gynecologic oncology studies. Of the 581 published studies, 554 (95%) reported age, 363 (63%) reported race, and 171 (29%) reported ethnicities. Cervical cancer studies were most likely to report demographic information, including race (P=.026) and ethnicity (P<.001). During the study period, 189 studies (12%) excluded patients based on the language spoken. Industry-sponsored trials (odds ratio, 0.07; 95% confidence interval, 0.02-0.30) and organization-sponsored trials (odds ratio, 0.40; 95% confidence interval, 0.22-0.73) were less likely to exclude patients because of language than investigator-initiated trials. A minority of patients (37%) in cervical cancer trials were of White race, compared with 85% of patients in uterine cancer trials and 82% of patients in ovarian cancer trials.

CONCLUSION

Over the last 3 decades, 1 in 10 gynecologic oncology trials excluded patients because of language. Race and ethnicity were reported in more than half of the available studies. Initiatives to increase transparency in recruiting underrepresented patients and reporting demographic data are urgently needed.

Metabolism-related gene vaccines and immune infiltration in ovarian cancer: A novel risk score model of machine learning

BACKGROUND

The present study aims to develop a metabolic gene signature to evaluate the survival rate of ovarian cancer (OC) patients and analyze the potential mechanisms of metabolic genes in OC because the difficulty in early detection of OC often leads to poor treatment outcomes.

METHODS

A non-negative matrix factorization algorithm was applied to determine molecular subtypes according to metabolism genes. To build a risk prognosis model, least absolute shrinkage and selection operator multivariate Cox analysis was carried out with weighted correlation network analysis (WCGNA). Glycolytic flux and mitochondrial function were evaluated by conducting seahorse analysis.

RESULTS

On the basis of metabolism-related genes, the two subtypes of OC samples present in The Cancer Genome Atlas database were distinguished. An analysis of WGCNA identified 1056 genes. Lastly, a 10-gene signature (CMAS, ADH1B, PLA2G2D, BHMT, CACNA1C, AADAC, ALOX12, CYP2R1, SCN1B and ME1) was constructed that demonstrated promising performance in predicting outcome in patients with OC. The RiskScore of the gene signature was linked to microenvironment cell infiltration and immune checkpoint. Higher RiskScores were associated with poorer results for OC patients. Seahorse analysis shows the influence of CMAS in cell energy metabolism.

CONCLUSIONS

In the present study, a novel marker for evaluating the survival of OC patients was developed through the creation of a gene signature incorporating metabolism-related genes. Our knowledge of immunotherapy and microenvironment cell infiltration may be enriched by evaluating metabolism-related gene modification patterns.

Psychosocial interventions for ovarian cancer survivors: A systematic review

OBJECTIVES

Ovarian cancer survivorship is complex and is associated with greater symptom burden, fear of reoccurrence, sexual dysfunction, lower quality of life and heightened existential distress in contrast to other cancers. This systematic review aimed to investigate the effectiveness for, and perspective of, psychosocial interventions encompassing psychological, social, and emotional support, tailored to, or involving ovarian cancer survivors at all stages of disease.

METHODS

Adhering to the PRISMA-SR statement guidelines, a systematic search was conducted across PsycINFO, MEDLINE, Embase, Emcare, CINAHL, Scopus, Cochrane Library databases, Google, and Google Scholar. Two reviewers independently undertook a two-stage screening process. The Mixed Methods Appraisal Tool was utilised to assess the methodological quality of included studies. Data were extracted using customised data extraction tools and narratively synthesised.

RESULTS

Thirteen studies were included in this review. Generally positive effects of psychosocial interventions were observed across a range of outcome domains (meaning enhancing, cognitive, social, emotional, and cancer-specific). However, the characteristics of interventions and outcome measures varied across studies. Psychoeducational interventions were identified as the most common psychosocial approach, while Acceptance and Commitment Therapy showed promise in addressing the disease's high symptom burden. Women's perspectives of psychosocial interventions were described as "useful" and promoted positive self-regard.

CONCLUSION

While the evidence base largely support positive effects of psychosocial interventions for ovarian cancer survivors, this finding is constrained by heterogeneity of interventions and modest gains. Future research may explore the standardisation of psychosocial interventions for this demographic, investigating its effects on less explored but prevalent concerns among ovarian cancer survivors such as fear of cancer recurrence and sexual dysfunction.

Multilevel Determinants of Palliative Care Referral in Women With Advanced Ovarian Cancer: A Scoping Review

CONTEXT

Receipt of palliative care (PC) has long been suggested in practice for patients with advanced cancer for improved quality of life, mood, and prolonged survival. However, PC referrals in women with ovarian cancer remain suboptimal.

OBJECTIVE

To consolidate existing literature on the multiple factors associated with PC referrals in women with advanced ovarian cancer and to better understand the contextual factors of PC referrals and frame receipt of PC using a socioecological model.

METHODS

A search of scientific databases was conducted, including PubMed, Embase, CINAHL Complete, and PsycINFO. Key search terms included "ovarian cancer" and "palliative care," and later refined to include advanced stages of the diagnosis. The reviewed articles included a focus on advanced ovarian cancer and reported demographic, medical/clinical, support, or system-level factors examined in the PC referral process.

RESULTS

Thirteen articles focused on the factors directly associated with PC referrals. Factors were categorized into different socioecological levels: tumor-level, intrapersonal, interpersonal, and environmental. Factors included tumor characteristics, age, marital status, medical condition, performance status, psychosocial status, support system, provider, and infrastructure. The patient's medical condition was the major component considered in PC referral and care transition.

CONCLUSION

Various factors in the socioecological framework suggest that the decision for PC referral could be multifactorial and influenced by factors beyond the medical condition and status. Future research should aim to understand the impact of various socioecological factors on PC referral and examine PC referral experiences from the patient's perspective.

Incidence and treatment outcomes of ovarian carcinosarcoma from the national cancer registry of Korea

OBJECTIVE

To investigate the incidence and survival outcomes of ovarian carcinosarcoma in Korea between 1999 and 2018.

METHODS

Patients diagnosed with ovarian carcinosarcoma between 1999 and 2018 were identified from the Korea Central Cancer Registry (KCCR) and their information was collected. Age-standardized incidence rates (ASRs), annual percent changes (APC), and relative survival rates of ovarian carcinosarcoma were calculated and compared to those of epithelial ovarian cancer.

RESULTS

According to the KCCR, 458 cases of ovarian carcinosarcoma were detected, and accounted for 1.5% (458/30,679) of all epithelial ovarian cancers in Korea between 1999 and 2018. The ASR of ovarian carcinosarcoma between 1999 and 2018 was 0.064 per 100,000 women. The incidence rate of ovarian carcinosarcoma increased during the study period, with an ASR of 0.029 per 100,000 in 1999 and 0.073 per 100,000 in 2018. The APC of ovarian carcinosarcoma during 1999-2018 was 5.86 (p<0.001). The median overall survival (OS) of patients with ovarian carcinosarcoma was 39 months, and the 5-year OS rate was 42.5%. Among ovarian carcinosarcomas, patients with localized stages showed better clinical outcomes than those with regional or distant stages (5-year OS, 60.8%, 57.9%, and 32.8%, respectively; p<0.001). In addition, younger (<50 years) patients showed better OS than older (≥50 years) patients (5-year OS, 52.6% vs. 40.2%; p<0.001).

CONCLUSION

Our nationwide registry-based study demonstrated that the incidence of ovarian carcinosarcoma increased from 1999 to 2018 in Korea. Patients with advanced-stage disease and older age (≥50 years) had poorer survival outcomes.

Clinical relevance of exosome-derived microRNAs in Ovarian Cancer: Looking for new tumor biological fingerprints

Specific tumor-derived extracellular vesicles, called exosomes, are considered as potential key players in cross-talk between immune system and tumor microenvironment in several solid tumors. Different studies highlighted the clinical relevance of exosomes in ovarian cancer (OC) for their role in early diagnosis, prognosis, chemoresistance, targeted therapy. The exosomes are nanosize vesicles carrying lipids, proteins, and nucleic acids. In particular, exosomes shuttle a wide spectrum of microRNAs (miRNAs) able to induce phenotypic reprogramming of target cells, contributing to tumor progression. In this review, we will discuss the promising role of miRNAs shuttled by exosomes, called exosomal miRNAs (exo-miRNAs), as potential biomarkers for early detection, tumour progression and metastasis, prognosis, and response to therapy in OC women, in order to search for new potential biological fingerprints able to better characterize the evolution of this malignancy and provide a clinically relevant non-invasive approach useful for adopting, in future, personalized therapeutic strategies.

MicroRNA-10a-5p-mediated downregulation of GATA6 inhibits tumor progression in ovarian cancer

Ovarian cancer is the common cause of cancer-related death in women and is considered the most deadly gynecological cancer. It has been established that GATA-binding protein 6 (GATA6) is abnormally expressed in several types of malignant tumors and acts as an oncogenic protein or a tumor suppressor. However, the underlying mechanism of GATA6 in ovarian cancer progression has not been elucidated. Data in the present study revealed that GATA6 expression was negatively correlated to microRNA-10a-5p (miR-10a-5p) in ovarian cancer tissue and cells and that GATA6 is directly targeted by miR-10a-5p. Notably, upregulated miR-10a-5p dramatically inhibited ovarian cancer cell proliferation, tumorigenic ability, migration, and invasion by targeting GATA6. In vitro and in vivo experiments confirmed that miR-10a-5p-mediated downregulation of GATA6 suppressed Akt pathway activation. Overall, our findings suggest that miR-10a-5p could be a novel therapeutic target for ovarian cancer, and targeting the miR-10a-5p/GATA6/Akt axis could improve outcomes in this patient population.

Integrative analysis of cuproptosis-associated genes for predicting immunotherapy response in single-cell and multi-cohort studies

BACKGROUND

The role of genes associated with the cuproptosis cell signaling pathway in prognosis and immunotherapy in ovarian cancer (OC) has been extensively investigated. In this study, we aimed to explore these mechanisms and establish a prognostic model for patients with OC using bioinformatics techniques.

METHODS

We obtained the single cell sequencing data of ovarian cancer from the Gene Expression Omnibus (GEO) database and preprocessed the data. We analyzed a variety of factors including cuproptosis cell signal score, transcription factors, tumorigenesis and progression signals, gene set variation analysis (GSVA) and intercellular communication. Differential gene analysis was performed between groups with high and low cuproptosis cell signal scores, as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Using bulk RNA sequencing data from The Cancer Genome Atlas, we used the least absolute shrinkage and selection operator (LASSO)-Cox algorithm to develop cuproptosis cell signaling pathword-related gene signatures and validated them with GEO ovarian cancer datasets. In addition, we analyzed the inherent rules of the genes involved in building the model using a variety of bioinformatics methods, including immune-related analyses and single nucleotide polymorphisms. Molecular docking is used to screen potential therapeutic drugs. To confirm the analysis results, we performed various wet experiments such as western blot, cell counting kit 8 (CCK8) and clonogenesis tests to verify the role of the Von Willebrand Factor (VWF) gene in two ovarian cancer cell lines.

RESULTS

Based on single-cell data analysis, we found that endothelial cells and fibroblasts showed active substance synthesis and signaling pathway activation in OC, which further promoted immune cell suppression, cancer cell proliferation and metastasis. Ovarian cancer has a high tendency to metastasize, and cancer cells cooperate with other cells to promote disease progression. We developed a signature consisting of eight cuproptosis-related genes (CRGs) (MAGEF1, DNPH1, RARRES1, NBL1, IFI27, VWF, OLFML3 and IGFBP4) that predicted overall survival in patients with ovarian cancer. The validity of this model is verified in an external GEO validation set. We observed active infiltrating states of immune cells in both the high- and low-risk groups, although the specific cells, genes and pathways of activation differed. Gene mutation analysis revealed that TP53 is the most frequently mutated gene in ovarian cancer. We also predict small molecule drugs associated with CRGs and identify several potential candidates. VWF was identified as an oncogene in ovarian cancer, and the protein was expressed at significantly higher levels in tumor samples than in normal samples. The high-score model of the cuproptosis cell signaling pathway was associated with the sensitivity of OC patients to immunotherapy.

CONCLUSIONS

Our study provides greater insight into the mechanisms of action of genes associated with the cuproptosis cell signaling pathway in ovarian cancer, highlighting potential targets for future therapeutic interventions.

Construction and validation of molecular subtype and signature of immune cell-related telomeric genes and prediction of prognosis and immunotherapy efficacy in ovarian cancer patients

BACKGROUND

Ovarian cancer (OVC) has emerged as a fatal gynecological malignancy as a result of a lack of reliable methods for early detection, limited biomarkers and few treatment options. Immune cell-related telomeric genes (ICRTGs) show promise as potential biomarkers.

METHODS

ICRTGs were discovered using weighted gene co-expression network analysis (WGCNA). ICRTGs were screened for significant prognosis using one-way Cox regression analysis. Subsequently, molecular subtypes of prognosis-relevant ICRTGs were constructed and validated for OVC, and the immune microenvironment's landscape across subtypes was compared. OVC prognostic models were built and validated using prognosis-relevant ICRTGs. Additionally, chemotherapy susceptibility drugs for OVC patients in the low- and high-risk groups of ICRTGs were screened using genomics of drug susceptibility to cancer (GDSC). Finally, the immunotherapy response in the low- and high-risk groups was detected using the data from GSE78220. We conducted an immune index correlation analysis of ICRTGs with significant prognoses. The MAP3K4 gene, for which the prognostic correlation coefficient is the highest, was validated using tissue microarrays for a prognostic-immune index correlation.

RESULTS

WGCNA analysis constructed a gene set of ICRTGs and screened 22 genes with prognostic significance. Unsupervised clustering analysis revealed the best molecular typing for two subtypes. The Gene Set Variation Analysis algorithm was used to calculate telomere scores and validate the molecular subtyping. A prognostic model was constructed using 17 ICRTGs. In the The Cancer Genome Atlas-OVC training set and the Gene Expression Omnibus validation set (GSE30161), the risk score model's predicted risk groups and the actual prognosis were shown to be significantly correlated. GDSC screened Axitinib, Bexarotene, Embelin and the GSE78220 datasets and demonstrated that ICRTGs effectively distinguished the group that responds to immunotherapy from the non-responsive group. Additionally, tissue microarray validation results revealed that MAP3K4 significantly predicted patient prognosis. Furthermore, MAP3K4 exhibited a positive association with PD-L1 and a negative relationship with the M1 macrophage markers CD86 and INOS.

CONCLUSIONS

ICRTGs may be reliable biomarkers for the molecular typing of patients with OVC, enabling the prediction of prognosis and immunotherapy efficacy.

Epithelial ovarian cancer in younger age versus older age groups: Survival and clinicopathological features

OBJECTIVES

This study aimed to analyze the survivals and clinicopathological features of epithelial ovarian cancer (EOC) in younger age patients and to determine the impact of age on survival.

METHODS

EOC patients aged ≤40 years were matched to patients aged >40 years at a 1:4 ratio. Disease-specific survival (DSS), progression-free survival (PFS), and clinicopathological and treatment features were compared between patients aged ≤40 and >40 years.

RESULTS

A total of 763 EOC patients were reviewed. During a median follow-up period of 41 (range, 1-195) months, EOC patients aged ≤40 and >40 years did not show any statistically significant difference in median DSS (120 versusversus 84.7 months; hazard ratio, 0.78; 95% confidence interval, 0.58, 1.06); however, the median PFS was better in patients aged ≤40 years (median PFS not reached versusversus 41 months; HR, 0.65; 95% CI, 0.5, 0.85). Age ≤40 years was an independent favorable prognostic factor for DSS at 3 years after diagnosis. In contrast, younger age was an independent poor prognostic factor prior to this time point. EOC patients aged ≤40 years exhibited a significantly higher rate of early-stage disease, a higher proportion of mucinous subtype, and lower cancer antigen-125 level.

CONCLUSION

Overall, EOC patients in the younger age group were associated with more favorable prognostic factors and showed better PFS, but not DSS, than those in the older age group. Younger age was identified as an unfavorable prognostic factor within 3 years of diagnosis and became a favorable prognostic factor after 3 years.

Mathematical modeling predicts pathways to successful implementation of combination TRAIL-producing oncolytic virus and PAC-1 to treat granulosa cell tumors of the ovary

The development of new cancer therapies requires multiple rounds of validation from in vitro and in vivo experiments before they can be considered for clinical trials. Mathematical models assist in this preclinical phase by combining experimental data with human parameters to provide guidance about potential therapeutic regimens to bring forward into trials. However, granulosa cell tumors of the ovary lack a relevant mouse model, complexifying preclinical drug development for this rare tumor. To bridge this gap, we established a mathematical model as a framework to explore the potential of using a tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-producing oncolytic vaccinia virus in combination with the chemotherapeutic agent first procaspase activating compound (PAC-1). We have previously shown that TRAIL and PAC-1 act synergistically on granulosa tumor cells. In line with our previous results, our current model predicts that, although it is unable to stop the tumor from growing in its current form, combination oral PAC-1 with oncolytic virus (OV) provides the best result compared to monotherapies. Encouragingly, our results suggest that increases to the OV infection rate can lead to the success of this combination therapy within a year. The model developed here can continue to be improved as more data become available, allowing for regimen-tailoring via virtual clinical trials, ultimately shepherding effective regimens into trials.

Personalized neoantigen-based T cell therapy triggers cytotoxic lymphocytes expressing polyclonal TCR against metastatic ovarian cancer

Neoantigen-reactive cytotoxic T lymphocytes play a vital role in precise cancer cell elimination. In this study, we demonstrate the effectiveness of personalized neoantigen-based T cell therapy in inducing tumor regression in two patients suffering from heavily-burdened metastatic ovarian cancer. Our approach involved the development of a robust pipeline for ex vivo expansion of neoantigen-reactive T lymphocytes. Neoantigen peptides were designed and synthesized based on the somatic mutations of the tumors and their predicted HLA binding affinities. These peptides were then presented to T lymphocytes through co-culture with neoantigen-loaded dendritic cells for ex vivo expansion. Subsequent to cell therapy, both patients exhibited significant reductions in tumor marker levels and experienced substantial tumor regression. One patient achieved repeated cancer regression through infusions of T cell products generated from newly identified neoantigens. Transcriptomic analyses revealed a remarkable increase in neoantigen-reactive cytotoxic lymphocytes in the peripheral blood of the patients following cell therapy. These cytotoxic T lymphocytes expressed polyclonal T cell receptors (TCR) against neoantigens, along with abundant cytotoxic proteins and pro-inflammatory cytokines. The efficacy of neoantigen targeting was significantly associated with the immunogenicity and TCR polyclonality. Notably, the neoantigen-specific TCR clonotypes persisted in the peripheral blood after cell therapy. Our findings indicate that personalized neoantigen-based T cell therapy triggers cytotoxic lymphocytes expressing polyclonal TCR against ovarian cancer, suggesting its promising potential in cancer immunotherapy.

Circulating small extracellular vesicles microRNAs plus CA-125 for treatment stratification in advanced ovarian cancer

BACKGROUND

No residual disease (R0 resection) after debulking surgery is the most critical independent prognostic factor for advanced ovarian cancer (AOC). There is an unmet clinical need for selecting primary or interval debulking surgery in AOC patients using existing prediction models.

METHODS

RNA sequencing of circulating small extracellular vesicles (sEVs) was used to discover the differential expression microRNAs (DEMs) profile between any residual disease (R0, n = 17) and no residual disease (non-R0, n = 20) in AOC patients. We further analyzed plasma samples of AOC patients collected before surgery or neoadjuvant chemotherapy via TaqMan qRT-PCR. The combined risk model of residual disease was developed by logistic regression analysis based on the discovery-validation sets.

RESULTS

Using a comprehensive plasma small extracellular vesicles (sEVs) microRNAs (miRNAs) profile in AOC, we identified and optimized a risk prediction model consisting of plasma sEVs-derived 4-miRNA and CA-125 with better performance in predicting R0 resection. Based on 360 clinical human samples, this model was constructed using least absolute shrinkage and selection operator (LASSO) and logistic regression analysis, and it has favorable calibration and discrimination ability (AUC:0.903; sensitivity:0.897; specificity:0.910; PPV:0.926; NPV:0.871). The quantitative evaluation of Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) suggested that the additional predictive power of the combined model was significantly improved contrasted with CA-125 or 4-miRNA alone (NRI = 0.471, IDI = 0.538, p < 0.001; NRI = 0.122, IDI = 0.185, p < 0.01).

CONCLUSION

Overall, we established a reliable, non-invasive, and objective detection method composed of circulating tumor-derived sEVs 4-miRNA plus CA-125 to preoperatively anticipate the high-risk AOC patients of residual disease to optimize clinical therapy.

Comprehensive analysis of the potential biological significance of cuproptosis-related gene LIPT2 in pan-cancer prognosis and immunotherapy

Lipoyltransferase 2 (LIPT2) acts as a key enzyme involved in fatty acid metabolism and cell membrane synthesis. However, the biological function of LIPT2 in various cancer types and its potential significance in prognosis continue to be unresolved. For this analysis, we evaluated the expression levels and the significance of prognosis of LIPT2 gene in all cancers by various bioinformatics methods. The results found that LIPT2 was dramatically overexpressed in the vast majority of cancers. The upregulated LIPT2 was related to bad prognosis in Brain Lower Grade Glioma (LGG), Glioma (GBMLGG), Glioblastoma multiforme (GBM), Kidney Chromophobe (KICH), and High-Risk Wilms Tumor (WT), while it had a favorable prognosis in Kidney renal clear cell carcinoma (KIRC), and Ovarian serous cystadenocarcinoma (OV), Pan-kidney cohort (KIPAN). Furthermore, we assessed the mutation status, methylation levels, and immune status of LIPT2 in pan-cancer. Single-cell sequencing results revealed the correlation of LIPT2 expression with various biological characteristics such as DNA lesion, tumor angiogenesis, cell apoptosis, metastasis, and invasion. Enrichment analysis unveiled potential molecular regulatory mechanisms. In conclusion, our research reveals a detailed key role of LIPT2 in the progression, prognosis, and immune efficacy of various forms of cancer. Therefore, we have reason to believe that LIPT2 has the potential to be a candidate biomarker for tumors.

Ovarian cancer treatment and natural killer cell-based immunotherapy

Background

Ovarian cancer (OC) is one of the malignant tumors that poses a serious threat to women's health. Natural killer (NK) cells are an integral part of the immune system and have the ability to kill tumor cells directly or participate indirectly in the anti-tumor immune response. In recent years, NK cell-based immunotherapy for OC has shown remarkable potential. However, its mechanisms and effects remain unclear when compared to standard treatment.

Methods

To explore the value of NK cell-based immunotherapy in the treatment of OC, we conducted a literature review. In comparison to standard treatment, our focus was primarily on the current anti-tumor mechanisms, the clinical effect of NK cells against OC, factors affecting the structure and function of NK cells, and strategies to enhance the effectiveness of NK cells.

Results

We found that NK cells exert their therapeutic effects in OC through mechanisms such as antibody-dependent cell cytotoxicity, perforin release, and granule enzyme secretion. They also secrete IFN-γ and TNF-α or engage in Fas/FasL and TRAIL/TRAILR pathways, mediating the death of OC cells. In clinical trials, the majority of patients experienced disease stability with mild side effects after receiving NK cell-based immunotherapy, but there is still a lack of high-quality research evidence regarding its clinical effectiveness. OC and prior experience with standard treatments have an effect on NK cells, and it may be considered to maximize NK cell effects through the modulation of the tumor microenvironment or combination with other therapies.

Conclusions

In this review, we have summarized the current evidence of NK cell applications in the treatment of OC. Furthermore, factors and strategies that influence and enhance the role of NK cell immunotherapy are discussed.

Targeting the immune microenvironment for ovarian cancer therapy

Ovarian cancer (OC) is an aggressive malignancy characterized by a complex immunosuppressive tumor microenvironment (TME). Immune checkpoint inhibitors have emerged as a breakthrough in cancer therapy by reactivating the antitumor immune response suppressed by tumor cells. However, in the case of OC, these inhibitors have failed to demonstrate significant improvements in patient outcomes, and existing biomarkers have not yet identified promising subgroups. Consequently, there remains a pressing need to understand the interplay between OC tumor cells and their surrounding microenvironment to develop effective immunotherapeutic approaches. This review aims to provide an overview of the OC TME and explore its potential as a therapeutic strategy. Tumor-infiltrating lymphocytes (TILs) are major actors in OC TME. Evidence has been accumulating regarding the spontaneous TILS response against OC antigens. Activated T-helpers secrete a wide range of inflammatory cytokines with a supportive action on cytotoxic T-cells. Simultaneously, mature B-cells are recruited and play a significant antitumor role through opsonization of target antigens and T-cell recruitment. Macrophages also form an important subset of innate immunity (M1-macrophages) while participating in the immune-stimulation context. Finally, OC has shown to engage a significant natural-killer-cells immune response, exerting direct cytotoxicity without prior sensitization. Despite this initial cytotoxicity, OC cells develop various strategies to induce an immune-tolerant state. To this end, multiple immunosuppressive molecules are secreted to impair cytotoxic cells, recruit regulatory cells, alter antigen presentation, and effectively evade immune response. Consequently, OC TME is predominantly infiltrated by immunosuppressive cells such as FOXP3+ regulatory T-cells, M2-polarized macrophages and myeloid-derived suppressor cells. Despite this strong immunosuppressive state, PD-1/PD-L1 inhibitors have failed to improve outcomes. Beyond PD-1/PD-L1, OC expresses multiple other immune checkpoints that contribute to immune evasion, and each representing potential immune targets. Novel immunotherapies are attempting to overcome the immunosuppressive state and induce specific immune responses using antibodies adoptive cell therapy or vaccines. Overall, the OC TME presents both opportunities and obstacles. Immunotherapeutic approaches continue to show promise, and next-generation inhibitors offer exciting opportunities. However, tailoring therapies to individual immune characteristics will be critical for the success of these treatments.

Sertoli-Leydig cell tumor: a clinicopathological analysis in a comprehensive, national cohort

INTRODUCTION

Sertoli-Leydig cell tumors are rare tumors of the ovary. Moderate and poorly differentiated tumors can metastasize and have a poor outcome. A pathogenic variant in DICER1 is associated with an increased risk of developing these tumors along with other clinical phenotypes. We aimed to describe a national cohort of all Sertoli-Leydig cell tumors with regard to clinicopathological characteristics and frequency of DICER1 pathogenic variants.

METHODS

In May 2018, all patients registered from January 1997 to December 2017 with the Systematized Nomenclature of Medicine code M86310 (Sertoli-Leydig cell tumor) were obtained from the Danish National Pathology Registry. Validation of the diagnosis depended on comments in the reports that two pathologists validated the initial diagnosis or revision of the pathology at another facility. We performed descriptive statistics to describe baseline characteristics, and cancer related survival was calculated using Kaplan-Meier analysis followed by a log rank test for differences between variables RESULTS: 41 women with Sertoli-Leydig cell tumors were identified. Median age was 41 years (range 6-79). The stages according to the International Federation of Gynecology and Obstetrics (FIGO) were: stage I, 85% (n=35), stage II, 2% (n=1), stage III, 5% (n=2), and stage IV, 7% (n=3). The 5 year cancer related survival was 100% for patients with localized disease (stages I-II) and 0% in advanced tumor stages (stages III-IV). Histological differentiation grade of the tumors was well differentiated in 29% (n=12), moderately differentiated in 56% (n=23), and poorly differentiated in 15% (n=6), and the 5 year cancer related survival was 100%, 96%, and 33%, respectively, according to grade. All patients underwent surgery. Twenty-two patients had fertility sparing surgery and four of these had given birth at the time of follow-up. Analysis of DICER1 was performed in eight women. Four carried a pathogenic variant. Four patients received adjuvant chemotherapy, three because of advanced tumor stage, and one because of a poorly differentiated Sertoli-Leydig cell tumor.

CONCLUSION

The prognosis for women with Sertoli-Leydig cell tumors with localized disease is excellent. Women with advanced stages (III-IV) have a poor prognosis, regardless of adjuvant chemotherapy. Fertility sparing surgery seems to be a viable option for localized Sertoli-Leydig cell tumors. DICER1 screening was rarely performed in previous cohorts and concomitant organ screening programs are topics for discussion.

Therapeutic Efficacy of Prodrug Activator Gene Therapy Using Retroviral Replicating Vectors for Human Ovarian Cancer

BACKGROUND/AIM

Retroviral replicating vectors (RRV) have exhibited efficient tumor transduction and improved therapeutic benefits in a variety of cancer models. In this study, we validated two RRV created from amphotropic murine leukemia virus (AMLV) and gibbon ape leukemia virus (GALV), which use different cell receptors for virus entry, in human ovarian cancer (OC) cells.

MATERIALS AND METHODS

Expression levels of the receptors for AMLV (PiT-2) and GALV (PiT-1) in human OC cell lines (A2780, Caov3, RMG-1, SKOV-3), fibroblasts and HEK293 cells were evaluated using quantitative RT-PCR. In vitro RRV-GFP replication was monitored using flow cytometry, and cytotoxicity quantitated using AlamarBlue assay after 5-fluorocytosine treatment of OC cells transduced with RRV expressing the yeast cytosine deaminase prodrug activator gene. In vivo antitumor effect of RRV-mediated prodrug activator gene therapy was investigated in a SKOV-3 subcutaneous tumor model.

RESULTS

Quantitative RT-PCR analysis revealed high expression levels of PiT-2 (AMLV receptor) and PiT-1 (GALV receptor) in the RMG-1 and SKOV3 OC cell lines, compared with their levels in non-malignant cells. In RMG-1 and SKOV3 cells, both RRV showed highly efficient RRV replication and spread leading to over 90% transduction by Days 10-13. Additionally, both RRV that express the yeast cytosine deaminase gene demonstrated effective cell killing of RMG-1 and SKOV-3 cells upon treatment with the prodrug 5-fluorocytosine. Notably, RRV-mediated prodrug activator gene therapy showed significant inhibition of subcutaneous SKOV-3 tumor growth in nude mice.

CONCLUSION

RRV-mediated prodrug activator gene therapy may be used for treating PiT-expressing human OC.

Engineering strategies to optimise adoptive cell therapy in ovarian cancer

Ovarian cancer is amongst the ten most common cancer types in women, and it is one of the leading causes of death. Despite the promising results of targeted therapies, including anti-angiogenic agents and poly (ADP-ribose) polymerase inhibitors (PARPi), the majority of patients will relapse and develop treatment resistance, implying that novel therapeutic strategies are required. Adoptive cell therapy (ACT) refers to the process by which autologous immune cells are used to eliminate cancer. Examples include tumour infiltrating lymphocytes (TILs), T cells genetically engineered with T cell receptors (TCR), or chimeric antigen receptor (CAR)-T cells. Recently, ACT has revealed promising results in the treatment of haematological malignancies, however, its application to solid tumours is still limited due to lack of functionality and persistence of T cells, prevalence of an exhausted phenotype and impaired trafficking towards the tumour microenvironment (TME). In this review we explore the potential of ACT for the treatment of ovarian cancer and strategies to overcome its principal limitations.

miR-124 delivered by BM-MSCs-derived exosomes targets MCT1 of tumor-infiltrating Treg cells and improves ovarian cancer immunotherapy

Metabolic rewiring of tumor cells leads to an enrichment of lactate in the tumor microenvironment (TME). This lactate-rich environment of solid tumors has been reported to support tumor-infiltrating regulatory T (Treg) cells. Therefore, agents that modify the lactate metabolism of Treg cells have therapeutic potential. Monocarboxylate transporter 1 (MCT1), which Treg cells predominantly express, plays an essential role in the metabolism of tumor-infiltrating Treg cells. In this study, we show that miR-124 directly targets MCT1 and reduces lactate uptake, eventually impairing the immune-suppressive capacity of Treg cells. Particularly, exosomal miR-124 derived from bone marrow mesenchymal stromal cells (BM-MSCs) slows tumor growth and increases response to PD-1 blockade therapy. These data indicate a potential treatment strategy for improving immune checkpoint blockade therapy using miR-124-carried BM-MSCs-derived exosomes.

Adnexal Masses: Diagnosis and Management

Pelvic masses occur in up to 20% of women throughout their lifetime. These masses represent a spectrum of gynecologic and nongynecologic conditions. Adnexal masses-found in the fallopian tubes, ovaries, and surrounding areas-are mostly benign. Evaluation includes assessment for symptoms that may suggest malignancy, such as abdominal pain, abdominal bloating, and early satiety. A family history of ovarian, breast, or certain heritable syndromes increases the risk of malignancy. For women of reproductive age, ectopic pregnancies must be considered; a beta human chorionic gonadotropin level should be obtained. Transvaginal ultrasonography is the imaging test of choice for evaluating adnexal masses for size and complexity. Adnexal cysts that are greater than 10 cm, contain solid components, or have high color flow on Doppler ultrasonography are high risk for malignancy. Further imaging, if warranted, should be completed with computed tomography or magnetic resonance imaging, particularly if there is concern for disease outside the ovary. Multimodal assessment tools that use ultrasonography and biomarkers, such as the risk of malignancy index, are useful in the diagnosis and exclusion of malignant causes. Asymptomatic masses that are determined to be benign may be observed and managed expectantly. In symptomatic or emergent cases, such as ectopic pregnancy or ovarian torsion, a gynecologist should be consulted. In any adnexal mass with high risk for malignancy, a consultation with gynecologic oncology is indicated.

A risk model based on the tumor microenvironment to predict survival and immunotherapy efficacy for ovarian cancer

OBJECTIVE

Based on the interactions between immune components in the tumor microenvironment and ovarian cancer (OC) cells, immunotherapies have been demonstrated to be effective in dramatically increasing survival rates. This study aimed to identify landmark genes, develop a prognostic risk model, and explore its relevance to the efficacy of immunotherapy.

MATERIALS AND METHODS

A risk model was built based on the immune- and stromal-related genes, which were extracted from the OC gene expression data of "The Cancer Genome Atlas" (TCGA) database. Survival analysis and receiver operating characteristic (ROC) analysis were then conducted through the model's risk score pattern, which was established depending on the TCGA training cohort and verified based on the internal TCGA cohort and external "Gene Expression Omnibus" (GEO) datasets. Furthermore, the immune-related characteristics and prognostic values of the risk model were evaluated.

RESULTS

The prognostic risk model for ovarian cancer demonstrated excellent performance in predicting survival rates, as validated in both the TCGA and GEO databases. The model showed significant associations with 17 functional immune cells, 17 immune checkpoints, PD-1, and several immune pathways, suggesting its potential to enhance the efficacy of immunotherapy in OC.

CONCLUSIONS

The risk model developed in this study has the potential to serve as a prognostic marker for OC, enabling the development of personalized immunotherapy protocols and providing a theoretical basis for novel combinations of immunotherapeutic approaches.

Boosting cytotoxicity of adoptive allogeneic NK cell therapy with an oncolytic adenovirus encoding a human vIL-2 cytokine for the treatment of human ovarian cancer

Despite good results in the treatment of hematological malignancies, Natural killer (NK) cells have shown limited effectiveness in solid tumors, such as ovarian cancer (OvCa). Here, we assessed the potential of an oncolytic adenovirus expressing a variant interleukin-2 (vIL-2) cytokine, Ad5/3-E2F-d24-vIL2 (vIL-2 virus), also known as TILT-452, to enhance NK cell therapy efficacy in human OvCa ex vivo. Human OvCa surgical specimens were processed into single-cell suspensions and NK cells were expanded from healthy blood donors. OvCa sample digests were co-cultured ex vivo with NK cells and vIL-2 virus and cancer cell killing potential assessed in real time through cell impedance measurement. Proposed therapeutic combination was evaluated in vivo with an OvCa patient-derived xenograft (PDX) in mice. Addition of vIL-2 virus significantly enhanced NK cell therapy killing potential in treated OvCa co-cultures. Similarly, vIL-2 virus in combination with NK cell therapy promoted the best in vivo OvCa tumor control. Mechanistically, vIL-2 virus induced higher percentages of granzyme B in NK cells, and CD8+ T cells, while T regulatory cell proportions remained comparable to NK cell monotherapy in vivo. Ad5/3-E2F-d24-vIL2 virus treatment represents a promising strategy to boost adoptive NK cell therapeutic effect in human OvCa.

Genomic and Molecular Characteristics of Ovarian Carcinosarcoma

Ovarian carcinosarcoma (OCS) is a rare malignancy with a poor prognosis. It is a biphasic tumor with malignant epithelial and mesenchymal components. A few mutations commonly seen in cancer have been identified in OCS, including TP53, PIK3CA, c-myc, ZNF217, ARID1A, and CTNNB1. Some OCS tumors have shown vascular endothelial growth factor positivity and limited HER2 expression. There is evidence of homologous recombination deficiency in OCS. This malignancy can be categorized as copy number high but has not been shown to have a high tumor mutational burden. There are mixed findings regarding the presence of biomarkers targeted by immune checkpoint inhibitors in OCS. For treatments other than systemic chemotherapy, the data available are largely based on in vitro and in vivo studies. In addition, there are case reports citing the use of poly-ADP ribose polymerase inhibitors, vascular endothelial growth factor inhibitors, and immunotherapy with varying degrees of success. This review paper will discuss the molecular and genomic characteristics of OCS, which can guide future treatment strategies.

Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer

Background

5-Methylcytosine (m5C) RNA modification is closely implicated in the occurrence of a variety of cancers. Here, we established a novel prognostic signature for ovarian cancer (OC) patients based on m5C RNA modification-related genes and explored the correlation between these genes with the tumor immune microenvironment.

Methods

Methylated-RNA immunoprecipitation sequencing helped us to identify candidate genes related to m5C RNA modification at first. Based on TCGA database, we screened the differentially expressed candidate genes related to the prognosis and constructed a prognostic model using LASSO Cox regression analyses. Notably, the accuracy of the model was evaluated by Kaplan-Meier analysis and receiver operator characteristic curves. Independent prognostic risk factors were investigated by Cox proportional hazard model. Furthermore, we also analyzed the biological functions and pathways involved in the signature. Finally, the immune response of the model was visualized in great detail.

Results

Totally, 2,493 candidate genes proved to be involved in m5C modification of RNA for OC. We developed a signature with prognostic value consisting of six m5C RNA modification-related genes. Specially, samples have been split into two cohorts with low- and high-risk scores according to the model, in which the low-risk OC patients exhibited dramatically better overall survival time than those with high-risk scores. Besides, not only was this model a prognostic factor independent of other clinical characteristics but it predicted the intensity of the immune response in OC. Significantly, the accuracy and availability of the signature were verified by ICGC database.

Conclusions

Our study bridged the gap between m5C RNA modification and the prognosis of OC and was expected to provide an effective breakthrough for immunotherapy in OC patients.

Case series of ovarian neuroendocrine carcinoma: overview of clinicopathological features

BACKGROUND

Ovarian neuroendocrine carcinoma (O-NEC) is a relatively uncommon neoplasm, and the current knowledge regarding its diagnosis and management is limited. In this series, our objective was to provide an overview of the clinicopathological characteristics of the disease by analyzing clinical case data to establish a theoretical foundation for the diagnosis and management of O-NEC.

CASE PRESENTATION

We included three patients in the present case series, all of whom were diagnosed with primary O-NEC based on pathomorphological observation and immunohistochemistry. Patient 1 was a 62-year-old patient diagnosed with small cell carcinoma (SCC) of the pulmonary type. Post-surgery, the patient was diagnosed with stage II SCC of the ovary and underwent standardized chemotherapy; however, imaging examinations conducted at the 16-month follow-up revealed the existence of lymph node metastasis. Unfortunately, she passed away 21 months after the surgery. The other two patients were diagnosed with carcinoid tumors, one at age 39 and the other at age 71. Post-surgery, patient 2 was diagnosed with a carcinoid in the left ovary, whereas patient 3 was diagnosed with a carcinoid in her right ovary based on clinical evaluation. Neither of the cases received adjuvant therapy following surgery; however, they have both survived for 9 and 10 years, respectively, as of date.

CONCLUSION

Primary O-NECs are rare and of diverse histological types, each of which has its own unique biological features and prognosis. SCC is a neoplasm characterized by high malignancy and a poor prognosis, whereas carcinoid tumors are of lesser malignancy and have a more favorable prognosis.

Unlocking the potential of allogeneic Vδ2 T cells for ovarian cancer therapy through CD16 biomarker selection and CAR/IL-15 engineering

Allogeneic Vγ9Vδ2 (Vδ2) T cells have emerged as attractive candidates for developing cancer therapy due to their established safety in allogeneic contexts and inherent tumor-fighting capabilities. Nonetheless, the limited clinical success of Vδ2 T cell-based treatments may be attributed to donor variability, short-lived persistence, and tumor immune evasion. To address these constraints, we engineer Vδ2 T cells with enhanced attributes. By employing CD16 as a donor selection biomarker, we harness Vδ2 T cells characterized by heightened cytotoxicity and potent antibody-dependent cell-mediated cytotoxicity (ADCC) functionality. RNA sequencing analysis supports the augmented effector potential of Vδ2 T cells derived from CD16 high (CD16Hi) donors. Substantial enhancements are further achieved through CAR and IL-15 engineering methodologies. Preclinical investigations in two ovarian cancer models substantiate the effectiveness and safety of engineered CD16Hi Vδ2 T cells. These cells target tumors through multiple mechanisms, exhibit sustained in vivo persistence, and do not elicit graft-versus-host disease. These findings underscore the promise of engineered CD16Hi Vδ2 T cells as a viable therapeutic option for cancer treatment.

Effect of Polyplex Size on Penetration into Tumor Spheroids

Ovarian cancer is one of the most lethal gynecological cancers in the world. In recent years, nucleic acid (NA)-based formulations have been shown to be promising treatments for ovarian cancer, including tumor nodules. However, gene therapy is not that far advanced in clinical reality due to unfavorable physicochemical properties of the NAs, such as high molecular weight, poor cellular uptake, rapid degradation by nucleases, etc. One of the strategies used to overcome these drawbacks is the complexation of anionic NAs via electrostatic interactions with cationic polymers, resulting in the formation of so-called polyplexes. In this work, the role of the size of pDNA and siRNA polyplexes on their penetration into ovarian-cancer-based tumor spheroids was investigated. For this, a methoxypoly(ethylene glycol) poly(2-(dimethylamino)ethyl methacrylate) (mPEG-pDMAEMA) diblock copolymer was synthesized as a polymeric carrier for NA binding and condensation with either plasmid DNA (pDNA) or short interfering RNA (siRNA). When prepared in HEPES buffer (10 mM, pH 7.4) at a nitrogen/phosphate (N/P) charge ratio of 5 and pDNA polyplexes were formed with a size of 162 ± 11 nm, while siRNA-based polyplexes displayed a size of 25 ± 2 nm. The polyplexes had a slightly positive zeta potential of +7-8 mV in the same buffer. SiRNA and pDNA polyplexes were tracked in vitro into tumor spheroids, resembling in vivo avascular ovarian tumor nodules. For this purpose, reproducible spheroids were obtained by coculturing ovarian carcinoma cells with primary mouse embryonic fibroblasts in different ratios (5:2, 1:1, and 2:5). Penetration studies revealed that after 24 h of incubation, siRNA polyplexes were able to penetrate deeper into the homospheroids (composed of only cancer cells) and heterospheroids (cancer cells cocultured with fibroblasts) compared to pDNA polyplexes which were mainly located in the rim. The penetration of the polyplexes was slowed when increasing the fraction of fibroblasts present in the spheroids. Furthermore, in the presence of serum siRNA polyplexes encoding for luciferase showed a high cellular uptake in 2D cells resulting in ∼50% silencing of luciferase expression. Taken together, these findings show that self-assembled small siRNA polyplexes have good potential as a platform to test ovarian tumor nodulus penetration..

Developments in Genetics: Better Management of Ovarian Cancer Patients

The purpose of this article is to highlight the new advancements in molecular and diagnostic genetic testing and to properly classify all ovarian cancers. In this article, we address statistics, histopathological classification, molecular pathways implicated in ovarian cancer, genetic screening panels, details about the genes, and also candidate genes. We hope to bring new information to the medical field so as to better prevent and diagnose ovarian cancer.

Small Extracellular Vesicles from adipose-derived stem cells suppress cell proliferation by delivering the let-7 family of microRNAs in ovarian cancer

INTRODUCTION

Ovarian cancer is the leading cause of death among women with gynecological cancer, and novel treatment options are urgently needed. Extracellular vesicles (EVs), including exosomes, may be one of the most promising therapeutic tools for various diseases. In this study, we aimed to investigate the therapeutic effects of adipose-derived stem cell-derived EVs (ADSC-EVs) on ovarian cancer cell lines.

MATERIALS AND METHODS

ADSCs and the ovarian cancer cell lines SKOV3 and OV90 were used for analysis. ADSC-EVs were isolated through ultracentrifugation and validated using a cryotransmission electron microscope, nanoparticle tracking analysis, and western blotting. Then, the effect of ADSC-EVs on ovarian cancer cells was investigated using IncuCyte and microRNA sequencing. Moreover, the potential functions of miRNAs were evaluated by gain-of function analysis and in silico analysis.

RESULTS

ADSC-EVs suppressed SKOV3 and OV90 cell proliferation. In particular, small EVs (sEVs) from ADSCs exhibited a stronger antitumor effect than ADSC-medium/large EVs (m/lEVs). Comparison of the miRNA profiles between ADSC-sEVs and ADSC-m/lEVs, along with downstream pathway analysis, suggested the involvement of the let-7 family. Overexpression of hsa-let-7b-5p and hsa-let-7e-5p significantly suppressed the proliferation of SKOV3 cells. In silico analysis revealed that four potential target genes of hsa-let-7b-5p and hsa-let-7e-5p were significantly associated with the prognoses of the patients.

CONCLUSION

ADSC-sEVs had a stronger antitumor effect than ADSC-m/lEVs. Hsa-let-7b-5p and hsa-let-7e-5p, which are highly abundant in ADSC-sEVs, suppressed cell proliferation. These findings may open up new possibilities for therapeutic approaches using ADSC-sEVs.

Siglec-7 glyco-immune binding mAbs or NK cell engager biologics induce potent antitumor immunity against ovarian cancers

Ovarian cancer (OC) is a lethal gynecologic malignancy, with modest responses to CPI. Engagement of additional immune arms, such as NK cells, may be of value. We focused on Siglec-7 as a surface antigen for engaging this population. Human antibodies against Siglec-7 were developed and characterized. Coculture of OC cells with PBMCs/NKs and Siglec-7 binding antibodies showed NK-mediated killing of OC lines. Anti-Siglec-7 mAb (DB7.2) enhanced survival in OC-challenged mice. In addition, the combination of DB7.2 and anti-PD-1 demonstrated further improved OC killing in vitro. To use Siglec-7 engagement as an OC-specific strategy, we engineered an NK cell engager (NKCE) to simultaneously engage NK cells through Siglec-7, and OC targets through FSHR. The NKCE demonstrated robust in vitro killing of FSHR+ OC, controlled tumors, and improved survival in OC-challenged mice. These studies support additional investigation of the Siglec-7 targeting approaches as important tools for OC and other recalcitrant cancers.

Th17-inducing dendritic cell vaccines stimulate effective CD4 T cell-dependent antitumor immunity in ovarian cancer that overcomes resistance to immune checkpoint blockade

BACKGROUND

Ovarian cancer (OC), a highly lethal cancer in women, has a 48% 5-year overall survival rate. Prior studies link the presence of IL-17 and Th17 T cells in the tumor microenvironment to improved survival in OC patients. To determine if Th17-inducing vaccines are therapeutically effective in OC, we created a murine model of Th17-inducing dendritic cell (DC) (Th17-DC) vaccination generated by stimulating IL-15 while blocking p38 MAPK in bone marrow-derived DCs, followed by antigen pulsing.

METHODS

ID8 tumor cells were injected intraperitoneally into mice. Mice were treated with Th17-DC or conventional DC (cDC) vaccine alone or with immune checkpoint blockade (ICB). Systemic immunity, tumor associated immunity, tumor size and survival were examined using a variety of experimental strategies.

RESULTS

Th17-DC vaccines increased Th17 T cells in the tumor microenvironment, reshaped the myeloid microenvironment, and improved mouse survival compared with cDC vaccines. ICB had limited efficacy in OC, but Th17-inducing DC vaccination sensitized it to anti-PD-1 ICB, resulting in durable progression-free survival by overcoming IL-10-mediated resistance. Th17-DC vaccine efficacy, alone or with ICB, was mediated by CD4 T cells, but not CD8 T cells.

CONCLUSIONS

These findings emphasize using biologically relevant immune modifiers, like Th17-DC vaccines, in OC treatment to reshape the tumor microenvironment and enhance clinical responses to ICB therapy.

Characterizing the regulatory Fas (CD95) epitope critical for agonist antibody targeting and CAR-T bystander function in ovarian cancer

Receptor clustering is the most critical step to activate extrinsic apoptosis by death receptors belonging to the TNF superfamily. Although clinically unsuccessful, using agonist antibodies, the death receptors-5 remains extensively studied from a cancer therapeutics perspective. However, despite its regulatory role and elevated function in ovarian and other solid tumors, another tumor-enriched death receptor called Fas (CD95) remained undervalued in cancer immunotherapy until recently, when its role in off-target tumor killing by CAR-T therapies was imperative. By comprehensively analyzing structure studies in the context of the binding epitope of FasL and various preclinical Fas agonist antibodies, we characterize a highly significant patch of positively charged residue epitope (PPCR) in its cysteine-rich domain 2 of Fas. PPCR engagement is indispensable for superior Fas agonist signaling and CAR-T bystander function in ovarian tumor models. A single-point mutation in FasL or Fas that interferes with the PPCR engagement inhibited apoptotic signaling in tumor cells and T cells. Furthermore, considering that clinical and immunological features of the autoimmune lymphoproliferative syndrome (ALPS) are directly attributed to homozygous mutations in FasL, we reveal differential mechanistic details of FasL/Fas clustering at the PPCR interface compared to described ALPS mutations. As Fas-mediated bystander killing remains vital to the success of CAR-T therapies in tumors, our findings highlight the therapeutic analytical design for potentially effective Fas-targeting strategies using death agonism to improve cancer immunotherapy in ovarian and other solid tumors.

Harnessing tumor immunogenomics: Tumor neoantigens in ovarian cancer and beyond

Ovarian cancer is a major cause of death among gynecological cancers due to its highly aggressive nature. Immunotherapy has emerged as a promising avenue for ovarian cancer treatment, offering targeted approaches with reduced off-target effects. With the advent of next-generation sequencing, it has become possible to identify genomic alterations that can serve as potential targets for immunotherapy. Furthermore, immunogenomics research has revealed the importance of genetic alterations in shaping the cancer immune responses. However, the heterogeneity of immunogenicity and the low tumor mutation burden pose challenges for neoantigen-based immunotherapies. Further research is needed to identify neoantigen-specific tumor-infiltrating lymphocytes (TIL) and establish guidelines for patient inclusion criteria in TIL-based therapy. The study of neoantigens and their implications in ovarian cancer immunotherapy holds great promise, and efforts focused on personalized treatment strategies, refined neoantigen selection, and optimized therapeutic combinations will contribute to improving patient outcomes in the future.

Cancer-Immunity Marker RNA Expression Levels across Gynecologic Cancers: Implications for Immunotherapy

Our objective was to characterize cancer-immunity marker expression in gynecologic cancers and compare immune landscapes between gynecologic tumor subtypes and with nongynecologic solid tumors. RNA expression levels of 51 cancer-immunity markers were analyzed in patients with gynecologic cancers versus nongynecologic cancers, and normalized to a reference population of 735 control cancers, ranked from 0 to 100, and categorized as low (0-24), moderate (25-74), or high (75-100) percentile rank. Of the 72 patients studied, 43 (60%) had ovarian, 24 (33%) uterine, and 5 (7%) cervical cancer. No two immune profiles were identical according to expression rank (0-100) or rank level (low, moderate, or high). Patients with cervical cancer had significantly higher expression level ranks of immune activating, proinflammatory, tumor-infiltrating lymphocyte markers, and checkpoints than patients with uterine or ovarian cancer (P < 0.001 for all comparisons). However, there were no significant differences in immune marker expression between uterine and ovarian cancers. Tumors with PD-L1 tumor proportional score (TPS) ≥1% versus 0% had significantly higher expression levels of proinflammatory markers (58 vs. 49%, P = 0.0004). Compared to patients with nongynecologic cancers, more patients with gynecologic cancers express high levels of IDO-1 (44 vs. 13%, P < 0.001), LAG3 (35 vs. 21%, P = 0.008), and IL10 (31 vs. 15%, P = 0.002.) Patients with gynecologic cancers have complex and heterogeneous immune landscapes that are distinct from patient to patient and from other solid tumors. High levels of IDO1 and LAG3 suggest that clinical trials with IDO1 inhibitors or LAG3 inhibitors, respectively, may be warranted in gynecologic cancers.

Application of precision medicine based on next-generation sequencing and immunohistochemistry in ovarian cancer: a real-world experience

OBJECTIVE

To evaluate the landscape of gene alterations and immunohistochemistry (IHC) profiles of patients with ovarian cancer for targeted therapy and investigate the real-world experience of applying precision medicine.

METHODS

Patients diagnosed with ovarian cancer between January 2015 and May 2021 at Severance Hospital and who underwent tumor next-generation sequencing (NGS) were reviewed. Data on germline mutation, IHC markers for mismatch repair deficiency (MMRd), programmed death ligand 1 (PD-L1) expression, and human epidermal growth factor receptor 2 (HER2) expression were acquired. The use of matched therapy and its clinical outcomes were evaluated.

RESULTS

Of the 512 patients who underwent tumor NGS, 403 underwent panel-based germline testing. In patients who underwent both tests, tumor NGS identified 39 patients (9.7%) with BRCA mutations and 16 patients (4.0%) with other homologous recombination repair (HRR)-associated gene mutations, which were not found in germline testing. The most common single nucleotide variants were TP53 (82.2%), ARID1A (10.4%), PIK3CA (9.7%), and KRAS (8.4%). Copy number aberrations were found in 122 patients. MMRd was found in 3.2% of patients, high PD-L1 expression in 10.1%, and HER2 overexpression in 6.5%. Subsequently, 75 patients (14.6%) received a poly (ADP-ribose) polymerase inhibitor based on BRCA mutation and 11 patients (2.1%) based on other HRR-associated gene mutations. Six patients (1.2%) with MMRd underwent immunotherapy. Twenty-eight patients (5.5%) received other matched therapies targeting HER2, fibroblast growth factor receptor, folate receptor alpha, RAS, and PIK3CA.

CONCLUSION

A comprehensive review of germline mutation, IHC, and tumor NGS helped identify candidates for precision therapy in patients with ovarian cancer, a proportion of whom received matched therapy.

Improving the cytotoxic response of tumor-infiltrating lymphocytes towards advanced stage ovarian cancer with an oncolytic adenovirus expressing a human vIL-2 cytokine

While the presence of tumor-infiltrating lymphocytes (TILs) associates with improved survival prognosis in ovarian cancer (OvCa) patients, TIL therapy benefit is limited. Here, we evaluated an oncolytic adenovirus coding for a human variant IL-2 (vIL-2) cytokine, Ad5/3-E2F-d24-vIL2 (vIL-2 virus), also known as TILT-452, as an immunotherapeutic strategy to enhance TIL responsiveness towards advanced stage OvCa tumors. Fragments of resected human OvCa tumors were processed into single-cell suspensions, and autologous TILs were expanded from said samples. OvCa tumor specimens were co-cultured with TILs plus vIL-2 virus, and cell killing was assessed in real time through cell impedance measurement. Combination therapy was further evaluated in vivo through a patient-derived xenograft (PDX) ovarian cancer murine model. The combination of vIL-2 virus plus TILs had best cancer cell killing ex vivo compared to TILs monotherapy. These results were supported by an in vivo experiment, where the best OvCa tumor control was obtained when vIL-2 virus was added to TIL therapy. Furthermore, the proposed therapy induced a highly cytotoxic phenotype demonstrated by increased granzyme B intensity in NK cells, CD4+ T, and CD8+ T cells in treated tumors. Our results demonstrate that Ad5/3-E2F-d24-vIL2 therapy consistently improved TILs therapy cytotoxicity in treated human OvCa tumors.

Omics sciences and precision medicine in breast and ovarian cancer

Background

Human breast carcinoma is a complex disease, affecting 1 in 8 women worldwide. The seriousness of the disease increases when the definite cause of the disease remains obscure, thus making prognosis challenging. Researchers are emphasizing on adapting more advanced and targeted therapeutic approaches to address the multifaceted impacts of the disease. Hence, modern multi-omics systems have gained popularity among clinicians, as they offer insights into the genomic, pharmacogenomic, metabolomic, and microbiomic factors, thus allowing researchers to develop targeted and personalized approaches for breast cancer prevention and early detection, and eventually improving patient outcomes.

Aim

The primary focus of this study is to elucidate, through the integration of multi-omics research findings, the inherent molecular origins of diverse subtypes of breast cancer and to evaluate the effectiveness of these findings in reducing breast cancer-related mortalities.

Methods

Thorough investigation was conducted by reviewing reputable and authoritative medical journals, e-books, and online databases dedicated to cancer research. The Mendelian inheritance in man database (OMIM) was used to scrutinize specific genes and their respective loci associated with the development of different types of breast cancer.

Results

Our present research revealed the holistic picture of sundry molecular, genomic, pharmacogenomic, metabolomic, and microbiomic features of breast cancer. Such findings, like genetic alterations in highly penetrant genes, plus metabolomic and microbiomic signatures of breast cancer, unveil valuable insights and show great potential for multi-omics research in breast oncology.

Conclusion

Further research in omics sciences pertaining to breast cancer are at the forefront of shaping precise treatment and bolstering patient survival.

Dual targeting ovarian cancer by Muc16 CAR T cells secreting a bispecific T cell engager antibody for an intracellular tumor antigen WT1

Epithelial ovarian cancer is the most lethal of gynecological cancers. The therapeutic efficacy of chimeric antigen receptor (CAR) T cell directed against single antigens is limited by the heterogeneous target antigen expression in epithelial ovarian tumors. To overcome this limitation, we describe an engineered cell with both dual targeting and orthogonal cytotoxic modalities directed against two tumor antigens that are highly expressed on ovarian cancer cells: cell surface Muc16 and intracellular WT1. Muc16-specific CAR T cells (4H11) were engineered to secrete a bispecific T cell engager (BiTE) constructed from a TCR mimic antibody (ESK1) reactive with the WT1-derived epitope RMFPNAPYL (RMF) presented by HLA-A2 molecules. The secreted ESK1 BiTE recruited and redirected other T cells to WT1 on the tumor cells. We show that ESK1 BiTE-secreting 4H11 CAR T cells exhibited enhanced anticancer activity against cancer cells with low Muc16 expression, compared to 4H11 CAR T cells alone, both in vitro and in mouse tumor models. Dual orthogonal cytotoxic modalities with different specificities targeting both surface and intracellular tumor-associated antigens present a promising strategy to overcome resistance to CAR T cell therapy in epithelial ovarian cancer and other cancers.

Impact of 2 years of COVID-19 pandemic on ovarian cancer treatment in IRCCS-AUSL of Reggio Emilia

OBJECTIVE

To assess compliance with the 2019 regional recommendation to centralize epithelial ovarian cancer (EOC) patients and to assess whether the COVID-19 pandemic has affected the quality of care for EOC patients.

METHODS

We compared data from EOC patients treated before the introduction of the 2019 regional recommendation (2018-2019) with data obtained from EOC patients treated after the regional recommendation was adopted during the first 2 years of the COVID-19 pandemic (2020-2021). Data were retrieved from the Optimal Ovarian Cancer Pathway records. R software version 4.1.2 (the R Foundation for Statistical Computing, Vienna, Austria) was used for the statistical analysis.

RESULTS

251 EOC patients were centralized. The number of EOC patients centralized increased from 2% to 49% despite the COVID-19 pandemic. During the COVID-19 pandemic, there was an increase in the use of neoadjuvant chemotherapy and interval debulking surgery. There was an improvement in the percentage of Stage III patients without gross residual disease following both primary and interval debulking surgery. The percentage of EOC cases discussed by the multidisciplinary tumor board (MTB) increased from 66% to 89% of cases.

CONCLUSION

Despite the COVID-19 pandemic, centralization has increased and the quality of care has been preserved thanks to the MTB.