Histological Subtypes Of Ovarian Cancer Research Articles

Global Incidence of Ovarian Cancer According to Histologic Subtype: A Population-Based Cancer Registry Study.

Ovarian cancer can be categorized into distinct histologic subtypes with varying identifiable risk factors, molecular composition, clinical features, and treatment. The global incidence of ovarian cancer subtypes remains limited, especially in low- and middle-income countries (LMICs) without high-quality cancer registry systems. We used data from population-based cancer registries of the Cancer Incidence in Five Continents project to calculate the proportions of serous, mucinous, endometrioid, clear cell, and other histologic subtypes of ovarian cancer. Proportions were applied to the estimated numbers of patients with ovarian cancer from Global Cancer Observatory 2020. Age-standardized incidence rates were calculated. Globally, an estimated 133,818 new patients of serous cancer, 35,712 new patients of mucinous cancer, 29,319 new patients of endometrioid cancer, and 17,894 new patients of clear cell cancer were identified in 2020. The distribution of ovarian cancer histologic subtypes exhibited regional variation. Eastern Europe had the highest rate of serous and mucinous carcinomas, whereas Northern Africa and Eastern Asia had the highest burden of endometrioid and clear cell carcinomas, respectively. This study provides a global incidence landscape of histologic subtypes of ovarian cancer, particularly in LMICs lacking comprehensive registry systems. Our analysis offers valuable insights into disease burden and guidance for tailored strategies for prevention of ovarian cancer.

Construction and validation of log odds of positive lymph nodes (LODDS)-based nomograms for predicting overall survival and cancer-specific survival in ovarian clear cell carcinoma patients.

Ovarian clear cell carcinoma (OCCC) is one of the special histologic subtypes of ovarian cancer. This study aimed to construct and validate log odds of positive lymph nodes (LODDS)-based nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) in patients with OCCC. Patients who underwent surgical treatment between 2010 and 2016 were extracted from the Surveillance Epidemiology and End Results (SEER) database and the data of OCCC patients from the First Affiliated Hospital of Dalian Medical University were used as the external validation group to test the validity of the prognostic model. The best-fitting models were selected by stepwise Cox regression analysis. Survival probability was calculated by the Kaplan-Meier method, and the differences in survival time between subgroups were compared using the log-rank test. Each nomogram's performance was assessed by the calibration plots, decision curve analysis (DCA), and receiver operating characteristics (ROC) curves. T stage, distant metastasis, marital status, and LODDS were identified as significant risk factors for OS. A model with four risk factors (age, T stage, stage, and LODDS value) was obtained for CSS. Nomograms were constructed by incorporating the prognostic factors to predict 1-, 3- and 5-year OS and CSS for OCCC patients, respectively. The area under the curve (AUC) range of our nomogram model for OS and CSS prediction ranged from 0.738-0.771 and 0.769-0.794, respectively, in the training cohort. The performance of this model was verified in the internal and external validation cohorts. Calibration plots illustrated nomograms have good prognostic reliability. Predictive nomograms were constructed and validated to evaluate the OS and CSS of OCCC patients. These nomograms may provide valuable prognostic information and guide postoperative personalized care in OCCC.

Abstract B102: Mutational and copy number-based ctDNA profiles mirror high-grade serous cancer tumors and enable detection of genetic changes appearing at recurrence

Abstract Circulating tumor DNA (ctDNA) is the cancer-derived fraction of extracellular DNA fragments present in the bloodstream as cell-free DNA (cfDNA). Consequently, ctDNA harbors the distinct genomic information specific to the cancer from which it derives. Therefore, ctDNA from liquid biopsies provides a non-invasive, universally available alternative to traditional tumor biopsies. ctDNA amount may provide insight into tumor burden, as its concentration is typically highest during diagnosis and relapse. The non-invasive nature of this method facilitates frequent monitoring, enabling longitudinal tracking of the disease's trajectory and response to treatments. By focusing on the key genomic changes, either short mutations or copy number aberrations (CNA), liquid biopsy allows the investigation of cancer progression and evolution over time, providing invaluable insight into the behavior and adaptability of the cancer. We collected 152 longitudinal plasma samples and 92 fresh tissue samples from 29 patients enrolled in the DECIDER cohort (NCT04846933), after a diagnosis of high-grade serous carcinoma (HGSC), the most common and deadliest histological subtype of ovarian cancer. With ultra-deep targeted sequencing of a gene panel of more than 700 cancer-related genes we were able to comprehensively evaluate the cancer-related genomic changes. The concordance rate between mutations in plasma compared to tumor tissue was 83 % at diagnosis and 90 % at relapse, confirming the reliability of exploiting ctDNA in monitoring genomic alterations. Furthermore, by comparing plasma- and tissue-derived mutations, we demonstrated that comparable levels of ctDNA are released from adnexa, intra-abdominal lesions, and ascites, proposing that a liquid biopsy represents mutations from various locations. Analysis of CNA showed that our approach successfully detected concordant profiles in most plasma samples, even with tumor content as low as 3%. Additionally, highly amplified regions were identified in samples with approximately 1% tumor content. Longitudinal analysis of both mutations and CNA revealed genomic changes in plasma samples at relapse. Twenty-four new exonic mutations were identified in eight patients at relapse; two of these alterations were related to HRD status, supporting PARP-inhibitors as a valid treatment option. Furthermore, mutations in FGFR3, JAK2, FLT3 and CDKN2A could be investigated as target indications for extended use of currently available therapies. Eleven patients had high tumor content in their plasma samples at the time of relapse. We detected altered CNA profiles in seven of these eleven patients, so that five patients harbored only a few novel focal amplifications or losses, while two patients showed significant changes in their copy-number profile during the therapy. In conclusion, our study identified recurrence-specific genomic aberrations, proposing that ctDNA more accurately represents the metastatic tumor and provides possibilities for personalized therapy options. Citation Format: Giovanni Marchi, Mai T.N. Nguyen, Anna Rajavuori, Taru Muranen, Kaisa Huhtinen, Sinikka Oksa, Sakari Hietanen, Johanna Hynninen, Jaana Oikkonen, Sampsa Hautaniemi. Mutational and copy number-based ctDNA profiles mirror high-grade serous cancer tumors and enable detection of genetic changes appearing at recurrence [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr B102.

Abstract A038: Epigenetic compound library screen of ovarian clear cell carcinoma cell line models identifies decreased cell viability following treatment with the Bruton tyrosine kinase inhibitor ibrutinib

Abstract Ovarian clear cell carcinoma (OCCC) is a difficult to treat histological subtype of ovarian cancer, demonstrating resistance to standard chemotherapy. New approaches are required in order to identify compounds with the potential to target this tumor. OCCC are characterized by mutations in ARID1A and/or ARID1B (AT-rich interactive domain-containing proteins) that encode for members of the mammalian SWI/SNF (SWItch/Sucrose Non-Fermentable) chromatin remodeling complex. We have used an epigenetic library consisting of 160 compounds that targets epigenetic readers, writers, erasers, and transcriptional modulators, to screen seven OCCC cell line models (RMG1, JHOC5, OVTOKO, OVMANA, OVISE, OV207 and TOV21G) and three non-OCCC ovarian cancer cell line models (A2780, COV434 and OVCAR8). Cell lines were seeded in triplicate into 96-well plates and treated with all 160 compounds at both 5 µM and 0.5 µM, as well as with a DMSO vehicle control, for 72 hours. Following treatment, cell viability was determined using a MTS assay and each data point normalized to the DMSO control. Based on the results of viability assays, drugs were sought that preferentially targeted OCCC relative to non-OCCC cell lines. Drugs that increased cell proliferation in two or more of the OCCC lines were removed from the analysis, as were drugs that did not impact upon viability. Drug 152, ibrutinib, inhibited cell viability between 53 to 78% in 6 of the 7 OCCC cell lines at 5 µM, with an average inhibition of 64%. In non-OCCC cell lines, the average cell viability after treatment with 5 µM ibrutinib was 91% (range, 84 – 103%). Ibrutinib is a small molecule inhibitor of Bruton tyrosine kinase (BTK) that has been approved by the FDA for treatment of a number of hematological malignancies including mantle cell lymphoma, small lymphocytic lymphoma and chronic lymphocytic leukemia. BTK functions in B-cell receptor signaling, regulating B cell proliferation and survival. Ibrutinib works by irreversibly blocking the kinase activity of BTK. Interestingly, ibrutinib binding sites are also present in other tyrosine kinases, including EGFR, raising the possibility of off-target effects that can function to decrease tumor cell viability. In addition to hematological malignancies, ibrutinib is being investigated in clinical trials for the potential to impact on solid tumors including non-small cell lung cancer, certain oesophagogastric carcinoma, advanced carcinoid and pancreatic neuroendocrine tumors, squamous cell carcinoma of the head and neck, renal cell carcinoma and glioblastoma, including in some cases in combination with other therapeutic drugs including cisplatin, temozolomide and nivolumab. Following organoid drug testing, off-label use of ibrutinib in a patient with low-grade serous ovarian cancer has recently shown promising results. Research is on-going to determine the effectiveness of ibrutinib in pre-clinical models of OCCC, including analyses of the effectiveness of ibrutinib in ARID1A and ARID1B wild-type and mutant CRISPR-engineered isogenic cell line panels of OCCC. Citation Format: Yue Ma, Kristie Ann Dickson, Natisha Field, Tao Xie, Nham Tran, Deborah Joy Marsh. Epigenetic compound library screen of ovarian clear cell carcinoma cell line models identifies decreased cell viability following treatment with the Bruton tyrosine kinase inhibitor ibrutinib [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A038.

Biology-driven therapy advances in high-grade serous ovarian cancer.

Following a period of slow progress, the completion of genome sequencing and the paradigm shift relative to the cell of origin for high grade serous ovarian cancer (HGSOC) led to a new perspective on the biology and therapeutic solutions for this deadly cancer. Experimental models were revisited to address old questions, and improved tools were generated. Additional pathways emerging as drivers of ovarian tumorigenesis and key dependencies for therapeutic targeting, in particular, VEGF-driven angiogenesis and homologous recombination deficiency, were discovered. Molecular profiling of histological subtypes of ovarian cancer defined distinct genetic events for each entity, enabling the first attempts toward personalized treatment. Armed with this knowledge, HGSOC treatment was revised to include new agents. Among them, PARP inhibitors (PARPis) were shown to induce unprecedented improvement in clinical benefit for selected subsets of patients. Research on mechanisms of resistance to PARPis is beginning to discover vulnerabilities and point to new treatment possibilities. This Review highlights these advances, the remaining challenges, and unsolved problems in the field.

Moesin affects the plasma membrane expression and the immune checkpoint function of CD47 in human ovarian clear cell carcinoma

Among major histological subtypes of epithelial ovarian cancer, a higher incidence of ovarian clear cell carcinoma (OCCC) is observed in East Asian populations, particularly in Japan. Despite recent progress in the immune checkpoint inhibitors for a wide variety of cancer cell types, patients with OCCC exhibit considerably low response rates to these drugs. Hence, urgent efforts are needed to develop a novel immunotherapeutic approach for OCCC. CD47, a transmembrane protein, is overexpressed in almost all cancer cells and disrupts macrophage phagocytic activity in cancer cells. Ezrin-Radixin-Moesin (ERM) family member of proteins serve as scaffold proteins by crosslinking certain transmembrane proteins with the actin cytoskeleton, contributing to their plasma membrane localization. Here, we examined the role of ERM family in the plasma membrane localization and functionality of CD47 in OCCC cell lines derived from Japanese women. Confocal laser scanning microscopy analysis showed colocalization of CD47 with all three ERM in the plasma membrane of OCCC cells. RNA interference-mediated gene silencing of moesin, but not others, decreased the plasma membrane expression and immune checkpoint function of CD47, as determined by flow cytometry and in vitro phagocytosis assay using human macrophage-like cells, respectively. Interestingly, clinical database analysis indicated that moesin expression in OCCC was higher than that in other histological subtypes of ovarian cancers, and the expression of CD47 and moesin increased with the cancer stage. In conclusion, moesin is overexpressed in OCCC and may be the predominant scaffold protein responsible for CD47 plasma membrane localization and function in OCCC.

Diagnostic and Management Challenges of Endometrial Tumours in Developing Countries!

Gynaecological cancers are among the most common cancers in women and hence an important public health issue in very country. Ovarian, Cervical, and Endometrial cancers contribute the most of Gynaecological cancers in India and worldwide. Endometrial benign tumours like Endometrioid cystadenoma/adenofibroma with endometrioid type glands, associated with endometriosis pose challenges of diagnosis. Endometrial cancer (EC) is the most common gynaecological malignancy in the West, but in India, the incidence rates are low. National cancer registry project (NCRP) estimated 27,922 cases of EC in 2022 in India. The possible association between cancer and endometriosis varies according to the histologic subtype of ovarian cancer and is focused mostly on endometroid and clear-cell ovarian cancer subtypes. The only way to diagnose womb cancer for sure is to take a sample of the tissue lining the womb (biopsy) and get histopathology report. However, most of the literate and urban women with ECs present at an early stage due to menorrhagia, abdominal pain or abdominal distension and are associated with a good prognosis. But the situation in rural India is one of lack of diagnostic and management facilities in public sector even at most of the district level. Treatment for endometrial cancer usually involves a hysterectomy, and adjuvant radiotherapy and/or chemotherapy. Surgery sometimes may include the removal of uterus and the fallopian tubes and ovaries, called a Hysterectomy with salpingo-oophorectomy. Adjuvant Radio/Chemotherapy treatment is planned based on final surgical & pathological staging. Due to the lack of cancer awareness, variable pathology, and dearth of proper screening facilities in most developing countries including India, most rural women report at advanced stages, adversely affecting the prognosis and clinical outcomes.

Identification and validation of a novel anoikis-related signature for predicting prognosis and immune landscape in ovarian serous cystadenocarcinoma

BackgroundOvarian serous cystadenocarcinoma (OSC) is the most prevalent histological subtype of ovarian cancer (OV) and presents a serious threat to women's health. Anoikis is an essential component of metastasis, and tumor cells can get beyond it to become viable. The impact of anoikis on OSC, however, has only been the topic of a few studies. MethodsThe mRNA sequencing and clinical information of OSC came from The Cancer Genome Atlas Target Genotype-Tissue Expression (TCGA TARGET GTEx) dataset. Anoikis-related genes (ARGs) were collected by Harmonizome and GeneCards websites. Centered on these ARGs, we used unsupervised consensus clustering to explore potential tumor typing and filtered hub ARGs to create a model of predictive signature for OSC patients. Furthermore, we presented clinical specialists with a novel nomogram based on ARGs, revealing the underlying clinical relevance of this signature. Finally, we explored the immune microenvironment among various risk groups. ResultsWe identified 24 ARGs associated with the prognosis of OSC and classified OSC patients into three subtypes, and the subtype with the best prognosis was more enriched in immune-related pathways. Seven ARGs (ARHGEF7, NOTCH4, CASP2, SKP2, PAK4, LCK, CCDC80) were chosen to establish a risk model and a nomogram that can provide practical clinical decision support. Risk scores were found to be an independent and significant prognostic factor in OSC patients. The CIBERSORTx result revealed an inflammatory microenvironment is different for risk groups, and the proportion of immune infiltrates of Macrophages M1 is negatively correlated with risk score (rs = −0.21, P < 0.05). Ultimately, quantitative reverse transcription polymerase chain reaction (RT-PCR) was utilized to validate the expression of the seven pivotal ARGs. ConclusionIn this study, based on seven ARGs, a risk model and nomogram established can be used for risk stratification and prediction of survival outcomes in patients with OSC, providing a reliable reference for individualized therapy of OSC patients.

Clinical Observations and Outcomes in Advanced Low-Grade Serous Carcinoma of the Ovary: Case Series from a Tertiary Cancer Center.

Low-grade serous carcinoma (LGSC) is a rare histologic subtype of ovarian cancer. We present detailed management of 15 cases of advanced LGSC from a tertiary cancer center of India. Fifteen cases of advanced LGSC who underwent cytoreductive surgery (CRS) were analyzed from a prospectively maintained database. Baseline demographic characteristics, surgical details, and chemotherapy details were recorded. Descriptive statistics were summarized, and progression-free survival (PFS) and overall survival (OS) were estimated. The median age was 37years. Nine patients had received NACT. All cases were FIGO stage III. Mean PCI was 15. Eleven patients had a completeness of cytoreduction score of 0-1. The median surgical time was 7.5h; nine patients required multiple gastrointestinal resections. Median blood loss was 2500ml. Median postoperative ventilation, ICU stay, and hospital stays were 1, 2, and 16days, respectively. One patient had a grade III complication. Four patients received adjuvant chemotherapy. There was no postoperative mortality at the end of 90days of surgery. All the patients except one were offered hormonal maintenance therapy. At a median follow-up of 43months, 4 patients were disease-free, 9 had a recurrence, one died of disease progression, and one was lost to follow-up. Most recurrences were locoregional in the peritoneal cavity or pelvis. Four-year OS and PFS were 71.8% and 29.7%, respectively. Advanced LGSCs occur mostly in young premenopausal women with favorable oncologic outcomes. Optimal CRS is the mainstay of treatment. Relative chemo-resistance and hormone receptor positivity provide an excellent therapeutic opportunity for endocrine therapy.

Decreased lamin A and B1 expression results in nuclear enlargement in serous ovarian carcinoma, whereas lamin A-expressing tumor cells metastasize to lymph nodes

BackgroundLamins, located beneath the nuclear membrane, are involved in maintaining nuclear stiffness and morphology. The nuclei of tumor cells are enlarged in serous carcinoma, a histologic subtype of ovarian cancer that is notable for its poor prognosis. The present study investigated the association of lamin A, B1, and B2 expression with nuclear morphology and metastatic route in serous ovarian carcinoma. MethodsWe performed immunohistochemistry for lamins A, B1, and B2 using specimens of patients who underwent surgery for serous ovarian carcinoma in Gunma University Hospital between 2009 and 2020. Following staining, the specimens were scanned using a whole-slide scanner and processed using computer-assisted image analysis. ResultsThe positivity rates for lamins A and B1 as well as the rank sum of the positivity rates for lamins A, B1, and B2 were negatively correlated with the mean and standard deviation of the nuclear area. Interestingly, the positivity rate for lamin A was significantly higher in metastatic lesions than in primary tumors in cases with lymph node metastasis. DiscussionPrevious studies indicated that decreased lamin A led to nuclear enlargement and deformation and that lamin B1 was required to maintain the meshworks of lamins A and B2 to maintain nuclear morphology. The present study findings suggest that decreased lamin A and B1 expression might lead to nuclear enlargement and deformation and raise the possibility that tumor cells maintaining or not losing lamin A expression might metastasize to lymph nodes.

Clinicopathological characteristics, molecular features and novel diagnostic strategies for the detection of malignant transformation of endometriosis (Review).

Endometriosis is a benign gynecological disease that affects women of reproductive age. Although malignant transformation of endometriosis is rare, physicians must be aware of this due to the high incidence of clear cell carcinoma of the ovary (CCC) in Japan. The most prevalent histological subtype of ovarian cancer is CCC (~70%) followed by endometrioid carcinoma (30%). The present review discusses the clinicopathological and molecular features of endometriosis-associated ovarian cancer (EAOC) as well as prospects for novel diagnostic strategies. Papers published between 2000 and 2022 in the PubMed and Google Scholar databases were included. Contents of the endometriotic cyst fluid may be involved in carcinogenesis, although the underlying mechanisms are largely unknown. Some studies have proposed a possible mechanism wherein excessive hemoglobin, heme and iron could cause an imbalance in intracellular redox homeostasis in endometriotic cells. Combined with DNA damage and mutations, the imbalances may induce the development of EAOC. Endometriotic cells evolve to adapt to the prolonged unfavorable oxidative microenvironmental stress. On the other hand, macrophages enhance the antioxidative defense mechanism and protect endometriotic cells against oxidative damage through intercellular crosstalk and signaling pathways. Therefore, changes in redox signaling, energy metabolism and the tumor immune microenvironment could be the key elements in the malignant transformation of certain endometriotic cell clones. Additionally, non-invasive bioimaging (i.e., magnetic resonance relaxometry) and biomarkers (i.e., tissue factor pathway inhibitor 2) may be promising tools for early-stage detection of the disease. In conclusion, the present review summarizes the latest advancements in research on the biological characteristics and early diagnosis of malignant transformation of endometriosis.

Genetic analysis for mucinous ovarian carcinoma with infiltrative and expansile invasion and mucinous borderline tumor: a retrospective analysis

BackgroundMucinous carcinoma (MC) is a histological subtype of ovarian cancer that has a worse prognosis at advanced stages than the most prevalent histological subtype, high-grade serous carcinomas. Invasive patterns have been recognized as prognostic factors for MCs. MCs with infiltrative invasion were more aggressive than those with expansile invasion. MC with an expansile pattern exhibited behavior similar to mucinous borderline tumors (MBT). However, genomic analysis of invasive patterns is insufficient. This study aimed to compare genetic information between groups with MC and infiltrative invasion (Group A) and those with MC with expansile invasion or MBT (Group B).MethodsTen cases each of MC with infiltrative invasion, MC with expansile invasion, and MBT between 2005 and 2020 were identified. Deoxyribonucleic acid (DNA) extraction from formalin-fixed paraffin-embedded tissues was performed, and cases with DNA fragmentation or the possibility of DNA fragmentation were excluded. Mutant base candidates and tumor mutation burden (TMB) values (mutations/megabase) were calculated.ResultsAfter assessing the quality of purified DNA, seven cases of MC with infiltrative invasion, five cases of MC with expansile invasion, and three cases of MBT were included. More patients in group A experienced recurrence or progression (p < 0.01) and died of disease (p = 0.03). Moreover, the TMB value was statistically higher in group A than in group B (p = 0.049). There were no statistical differences in the incidence of the mutations of KRAS, TP53, and CREBBP. KRAS, TP53, and CREBBP mutations were discovered in 8/15 (53.3%), 6/15 (40.0%), and 5/15 (33.3%) cases, respectively.ConclusionsGenetic analysis revealed that Group A had higher TMB than Group B. Therefore, this result might be useful for future treatment.

Comparative analysis between high-grade serous ovarian cancer and healthy ovarian tissues using single-cell RNA sequencing.

High-grade serous ovarian cancer (HGSOC) is the most common histological subtype of ovarian cancer, and is associated with high mortality rates. In this study, we analyzed specific cell subpopulations and compared different gene functions between healthy ovarian and ovarian cancer cells using single-cell RNA sequencing (ScRNA-seq). We delved deeper into the differences between healthy ovarian and ovarian cancer cells at different levels, and performed specific analysis on endothelial cells. We obtained scRNA-seq data of 6867 and 17056 cells from healthy ovarian samples and ovarian cancer samples, respectively. The transcriptional profiles of the groups differed at various stages of ovarian cell development. A detailed comparison of the cell cycle, and cell communication of different groups, revealed significant differences between healthy ovarian and ovarian cancer cells. We also found that apoptosis-related genes, URI1, PAK2, PARP1, CLU and TIMP3, were highly expressed, while immune-related genes, UBB, RPL11, CAV1, NUPR1 and Hsp90ab1, were lowly expressed in ovarian cancer cells. The results of the ScRNA-seq were verified using qPCR. Our findings revealed differences in function, gene expression and cell interaction patterns between ovarian cancer and healthy ovarian cell populations. These findings provide key insights on further research into the treatment of ovarian cancer.

New trends in diagnosing and treating ovarian cancer using nanotechnology.

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

Abstract 4252: CCNE1 amplification in high-grade serous ovarian cancer: analysis of the GENIE database

Abstract Background: High-grade serous ovarian cancer (HGSOC) is the most common histological subtype of ovarian cancer as well as the most lethal. A primary oncogenic driver in a subset of HGSOC patients, CCNE1 amplification is associated with poorer outcomes and resistance to standard treatment. This study aims to investigate the copy number gain of CCNE1 and the genetic mutations associated with CCNE1 amplification using a large cohort of clinico-genomic data. Methods: We queried the American Association of Cancer Research-Genomics Evidence Neoplasia Information Exchange (GENIE) registry database v12.1 for patients with HGSOC. We studied CCNE1 amplification and the clinical, demographic, and genetic mutation associations. Results: A total of 3297 HGSOC samples were extracted from the registry. The mean age of patients at sequencing was 62 ± 10 years. Out of 2416 samples profiled for copy number alterations, CCNE1 amplification was found in 13.6%, being the most commonly amplified gene, followed by AGO2 (11.7%) and MYC (9.7%). Co-amplification between CCNE1 and AKT2 was demonstrated. Between the 397 samples with CCNE1 amplification and 2088 without, the genes that were more frequently mutated in the CCNE1 amplified group were AKT2 (20.4% vs 3.2%, p&amp;lt;0.001), KRAS (11.3% vs 4.3%, p&amp;lt;0.001), BRD4 (8.0% vs 4.4%, p = 0.006), and ERBB2 (7.9% vs 4.0%, p = 0.003). Other genes were less frequently mutated in the CCNE1 amplified cohort such as NF1 (7.6 % vs 12.9%, p = 0.009), BRCA1 (3.7% vs 10.0%, p&amp;lt;0.001), BRCA2 (2.7% vs 7.4%, p = 0.003), RB1 (2.7% vs 6.4%, p = 0.013), and PTEN (1.2% vs 4.0%, p = 0.02). Frequencies of MYC, PIK3CA, KMT2D, CDK12, and TSC2 mutations were similar between the two groups. TP53 was mutated in 100% of samples. There were no significant differences between the two groups in primary race or total mutation count, and mean age at sequencing was similar. Conclusion: Somatic sequencing is warranted to identify patients of this subset of HGSOC, and understanding the co-amplifications and co-mutations is essential so that they are targeted for optimal survival outcomes. Citation Format: Ashaar Al-Akhras, Shaden Tashtoush, Alina Ghazou. CCNE1 amplification in high-grade serous ovarian cancer: analysis of the GENIE database. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4252.

Drug response profiles in patient-derived cancer cells across histological subtypes of ovarian cancer: real-time therapy tailoring for a patient with low-grade serous carcinoma

Many efforts are underway to develop novel therapies against the aggressive high-grade serous ovarian cancers (HGSOCs), while our understanding of treatment options for low-grade (LGSOC) or mucinous (MUCOC) of ovarian malignancies is not developing as well. We describe here a functional precision oncology (fPO) strategy in epithelial ovarian cancers (EOC), which involves high-throughput drug testing of patient-derived ovarian cancer cells (PDCs) with a library of 526 oncology drugs, combined with genomic and transcriptomic profiling. HGSOC, LGSOC and MUCOC PDCs had statistically different overall drug response profiles, with LGSOCs responding better to targeted inhibitors than HGSOCs. We identified several subtype-specific drug responses, such as LGSOC PDCs showing high sensitivity to MDM2, ERBB2/EGFR inhibitors, MUCOC PDCs to MEK inhibitors, whereas HGSOCs showed strongest effects with CHK1 inhibitors and SMAC mimetics. We also explored several drug combinations and found that the dual inhibition of MEK and SHP2 was synergistic in MAPK-driven EOCs. We describe a clinical case study, where real-time fPO analysis of samples from a patient with metastatic, chemorefractory LGSOC with a CLU-NRG1 fusion guided clinical therapy selection. fPO-tailored therapy with afatinib, followed by trastuzumab and pertuzumab, successfully reduced tumour burden and blocked disease progression over a five-year period. In summary, fPO is a powerful approach for the identification of systematic drug response differences across EOC subtypes, as well as to highlight patient-specific drug regimens that could help to optimise therapies to individual patients in the future.

Epidemiology and Mortality of Ovarian Cancer in Taiwan: A Population-Based Study.

Ovarian cancer is the second most common cause of death from gynecologic cancer. The aim of this study was to estimate the incidence of ovarian cancer and the trend of mortality in different histological subtypes of ovarian cancer in Taiwan. Patient information regarding ovarian cancer was provided by the Taiwan National Health Insurance database. The histological subtypes of ovarian cancer were retrieved from the Taiwan Cancer Registry database, while the survival rates were extracted from the National Death Registry database. In this population-based cohort study, the annual prevalence, incidence, and overall mortality of ovarian cancer during 2002–2015 were determined. The trend in the incidence and the mortality rate of different histologic subtypes were estimated using joinpoint regression analysis. It was found that age-standardized incidence of ovarian cancer increased from 9.46 in 2002 to 11.92 per 100,000 person-years in 2015, with an average annual percentage change of 2.0 (95% CI = 1.5–2.5). The 1-, 3-, and 5-year mortality rates of overall ovarian cancer declined progressively during the study period, especially the group of Charlson comorbidity index ≤ 1. Ovarian serous carcinoma was the most common histological subtype in Taiwan, comprising 30.9% of ovarian cancer patients in 2002–2015. This study provides valuable information for use in developing healthcare policies for ovarian cancer.

Targeting Homologous Recombination Deficiency in Ovarian Cancer with PARP Inhibitors: Synthetic Lethal Strategies That Impact Overall Survival.

Simple SummarySynthetic lethality approaches to cancer therapy involves combining events to cause cancer cell death. Using this strategy, major advances have occurred in the treatment of women with ovarian cancer who have defects in the Homologous Recombination Repair (HRR) pathway. When the HRR pathway is defective, due to mutations or epigenetic changes in genes such as BRCA1 or BRCA2, cells can no longer accurately repair double strand breaks (DSBs). Capitalising on this weakness, pharmacological inhibition of poly (ADP-ribose) polymerase (PARP) that function to repair single strand breaks (SSBs) leads to synthetic lethality in cells with defective HRR. PARP inhibitors (PARPis) including olaparib, niraparib and rucaparib are approved for the clinical management of women with ovarian cancer. Understanding and overcoming issues of acquired resistance to PARPis, extending these strategies to benefit more patients and combining PARPis with other drugs, including immunotherapies, are of high priority in the field today.The advent of molecular targeted therapies has made a significant impact on survival of women with ovarian cancer who have defects in homologous recombination repair (HRR). High-grade serous ovarian cancer (HGSOC) is the most common histological subtype of ovarian cancer, with over 50% displaying defective HRR. Poly ADP ribose polymerases (PARPs) are a family of enzymes that catalyse the transfer of ADP-ribose to target proteins, functioning in fundamental cellular processes including transcription, chromatin remodelling and DNA repair. In cells with deficient HRR, PARP inhibitors (PARPis) cause synthetic lethality leading to cell death. Despite the major advances that PARPis have heralded for women with ovarian cancer, questions and challenges remain, including: can the benefits of PARPis be brought to a wider range of women with ovarian cancer; can other drugs in clinical use function in a similar way or with greater efficacy than currently clinically approved PARPis; what can we learn from long-term responders to PARPis; can PARPis sensitise ovarian cancer cells to immunotherapy; and can synthetic lethal strategies be employed more broadly to develop new therapies for women with ovarian cancer. We examine these, and other, questions with focus on improving outcomes for women with ovarian cancer.

Cytoreductive Surgery With or Without HIPEC in the Management of Peritoneal Dissemination from Rare Histological Subtypes of Ovarian Cancer - a Retrospective Study by INDEPSO.

The online version contains supplementary material available at 10.1007/s13193-022-01640-5.

Lymphocyte infiltration in histologic subtypes of epithelial ovarian carcinoma and its effect on survival (229)

Lymphocyte infiltration in histologic subtypes of epithelial ovarian carcinoma and its effect on survival (229)