Histological Types Of Ovarian Cancer Research Articles

Restoration of ARID1A Protein in ARID1A-deficient Clear Cell Carcinoma of the Ovary Attenuates Reactivity to Cytotoxic T Lymphocytes.

Clear cell carcinoma is a prevalent histological type of ovarian cancer in East Asia, particularly in Japan, known for its resistance to chemotherapeutic agents and poor prognosis. ARID1A gene mutations, commonly found in ovarian clear cell carcinoma (OCCC), contribute to its pathogenesis. Recent data revealed that the ARID1A mutation is related to better outcomes of cancer immunotherapy. Thus, this study aimed to investigate the immunotherapy treatment susceptibility of OCCC bearing ARID1A mutations. Expression of ARID1A was analyzed using western blotting in ovarian cancer cell lines. OCCC cell lines JHOC-9 and RMG-V were engineered to overexpress NY-ESO-1, HLA-A*02:01, and ARID1A. Sensitivity to chemotherapy and T cell receptor-transduced T (TCR-T) cells specific for NY-ESO-1 was assessed in ARID1A-restored cells compared to ARID1A-deficient wild-type cells. JHOC-9 cells and RMG-V cells showed no expression of ARID1A protein. Overexpression of ARID1A in JHOC-9 and RMG-V cells did not impact sensitivity to gemcitabine. While ARID1A overexpression decreased sensitivity to cisplatin in RMG-V cells, it had no such effect in JHOC-9 cells. ARID1A overexpression reduced the reactivity of NY-ESO-1-specific TCR-T cells, as observed by the IFNγ ESLIPOT assay. Cancer immunotherapy is an effective approach to target ARID1A-deficient clear cell carcinoma of the ovary.

Candidate prognostic biomarkers and prediction models for high-grade serous ovarian cancer from urinary proteomics

High-grade serous ovarian cancer (HGSOC) is one of the most common histologic types of ovarian cancer. The purpose of this study was to identify potential prognostic biomarkers in urine specimens from patients with HGSOC. First, 56 urine samples with information on relapse-free survival (RFS) months were collected and classified into good prognosis (RFS ≥ 12 months) and poor prognosis (RFS < 12 months) groups. Next, data-independent acquisition (DIA)-based mass spectrometry (MS) analysis was combined with MSFragger-DIA workflow to identify potential prognostic biomarkers in a discovery set (n = 31). With the aid of parallel reaction monitoring (PRM) analysis, four candidate biomarkers (ANXA1, G6PI, SPB3, and SPRR3) were finally validated in both the discovery set and an independent validation set (n = 25). Subsequent RFS and Cox regression analyses confirmed the utility of these candidate biomarkers as independent prognostic factors affecting RFS in patients with HGSOC. Regression models were constructed to predict the 12-month RFS rate, with area under the receiver operating characteristic curve (AUC) values ranging from 0.847 to 0.905. Overall, candidate prognostic biomarkers were identified in urine specimens from patients with HGSOC and prediction models for the 12-month RFS rate constructed. SignificanceOC is one of the leading causes of death due to gynecological malignancies. HGSOC constitutes one of the most common histologic types of OC with aggressive characteristics, accounting for the majority of advanced cases. In cases where patients with advanced HGSOC potentially face high risk of unfavorable prognosis or disease advancement within a 12-month period, intensive medical monitoring is necessary. In the era of precision cancer medicine, accurate prediction of prognosis or 12-month RFS rate is critical for distinguishing patient groups requiring heightened surveillance. Patients could significantly benefit from timely modifications to treatment regimens based on the outcomes of clinical monitoring. Urine is an ideal resource for disease surveillance purposes due to its easy accessibility. Furthermore, molecules excreted in urine are less complex and more stable than those in other liquid samples. In the current study, we identified candidate prognostic biomarkers in urine specimens from patients with HGSOC and constructed prediction models for the 12-month RFS rate.

A rare case of synchronous bilateral ovarian cancer with combined clear cell and mucinous carcinomas and brain metastases.

Although ovarian cancer is generally unilateral, a few cases of bilateral ovarian cancer have been reported, most of which originate from metastases of unilateral ovarian cancer. However, synchronous primary bilateral ovarian cancer (SBOC), comprising two different histological types of ovarian cancer, is extremely rare, with limited reports on its clinical course and prognosis. Herein, we report the case of a 56-year-old postmenopausal Japanese woman with stage IVB SBOC with combined left ovarian clear cell and right ovarian mucinous carcinomas. The patient underwent surgery and received postoperative taxane/platinum-based chemotherapy, which temporarily reduced the tumor size. However, an increase in tumor size and brain metastases were subsequently identified. Treatment was accordingly discontinued, and the patient died of the disease 12months after diagnosis. In this case report, we detail the clinical course of a case of SBOC. To the best of our knowledge, this is the first report of SBOC with combined histological types of clear cell and mucinous carcinomas, and it is also the first report of SBOC with the eventual discovery of brain metastases.

Tumorigenic role of Pak4 in ovarian cancer and its correlation with immune infiltration

BackgroundOvarian cancer is the most common cause of gynecological cancer death. Pak4 has been proved to be tumorigenic in many types of cancers, but its role in ovarian cancer is still not clarified.MethodsIn this study, we used immunohistochemistry to investigate into Pak4 expression in different histological types of ovarian cancer. TIMER, TISCH2, GEPIA, ualcan, KM plotter, GSCA and GeneMANIA were used to identify the prognostic roles and gene regulation networks of Pak4 in ovarian cancer. Immune infiltration levels were investigated using TIMER database.ResultsPak4 was highly expressed in ovarian cancers, regardless of different FIGO stages and histological grades. Single cell sequencing database proved that Pak4 was highly expressed in malignant ovarian cancer cells. Pak4 level was significantly correlated with different histological types of ovarian cancer. Pak4 expression was negatively connected with OS and PFS of ovarian cancer patients. Functions of Pak4 and its interacted genes were mainly involved in protein serine/threonine kinase activity, regulation of actin filament-based process and regulation of cytoskeleton organization. Pak4 level was negatively correlated with immune biomarkers of B cell infiltration (p = 2.39e-05), CD8 + T cell infiltration (p = 1.51e-04), neutrophil (p = 1.74e-06) and dendritic cell (p = 4.41e-08). Close correlation was found between Pak4 expression and T cell exhaustion (p < 0.05).ConclusionsOur results demonstrated the expression level, gene interaction networks and immune infiltration levels of Pak4 in ovarian cancer. And the results revealed role of Pak4 in tumorigenesis and the possibility to be a potential immunotherapeutic target.

Retrospective Study on Ovarian Carcinoma at Khwaja Yunus Ali Medical College &amp; Hospital

, , Page no - | DOI: ABSTRACT | PDF | FULL TEXT | e-PUB Introduction: Cancer remains a significant public health challenge globally, with varying prevalence and characteristics across different regions. This study aimed to analyze the prevalence and characteristics of cancer, with a particular focus on ovarian cancer, at Khwaja Yunus Ali Medical College &amp; Hospital in Bangladesh. Methods: This retrospective study reviewed hospital records from January 2021 to August 2022, encompassing 6,785 cancer diagnoses of various types and affecting both genders. The study focused on the prevalence and characteristics of these cancers, particularly ovarian cancer, among female patients. Data on gender distribution, age distribution, and histological types of ovarian cancer were analyzed using descriptive statistics and comparative analyses. Result: The study revealed a nearly equal gender distribution among cancer patients, with females slightly outnumbering males (50.49% vs. 49.51%). Among the 3,426 female cancer patients, 3.24% were diagnosed with ovarian cancer. Within the gynecology ward subset (n=878), ovarian cancer accounted for 5.35% of cases. The age distribution of ovarian cancer patients ranged from 8 to 67 years, with a higher incidence in the 31-50 years age group. Histologically, Serous Cystadenoma was the most prevalent type of ovarian cancer (58.56%), followed by Teratoma (25.23%) and Endometrioid (16.22%). Conclusion: The study provides a comprehensive overview of cancer prevalence in Bangladesh, highlighting the significant presence of ovarian cancer among women, especially in their most productive years. The findings emphasize the need for early screening, awareness programs, and personalized treatment strategies, contributing valuable insights for healthcare policy and oncology research in low- and middle-income countries.

Differences in the position of endometriosis-associated and non-associated ovarian cancer relative to the uterus

BackgroundPreoperative assessment of the histological type of ovarian cancer is essential to determine the appropriate treatment strategy. Tumor location may be helpful in this regard. The purpose of this study was to compare the position of endometriosis-associated (EAOCs) and non-associated (non-EAOCs) ovarian cancer relative to the uterus using MRI.MethodsThis retrospective study included patients with pathologically confirmed malignant epithelial ovarian tumors who underwent MRI at our hospital between January 2015 and January 2023. T2-weighted images of the sagittal and axial sections of the long axis of the uterine body were used for the analysis. Three blinded experienced radiologists independently interpreted the images and assessed whether the ovarian tumor was attached to the uterus, and the angle between the uterus and the tumor was measured. The presence of attachment and the measured angles were compared for each histology. In addition, the angles between EAOCs, including endometrioid carcinomas (ECs) and clear cell carcinomas (CCCs), were compared with non-EAOCs.ResultsIn total, 184 women (mean age, 56 years; age range, 20–91 years) were evaluated. High-grade serous carcinomas (HGSCs) were significantly smaller than the others and had significantly less uterine attachment than CCCs (p < 0.01 for all readers). According to the mean of the measured angles, CCCs were positioned significantly more posteriorly than HGSCs and mucinous carcinomas (p < 0.02), and EAOCs were positioned significantly more posteriorly to the uterus than non-EAOCs (p < 0.01).ConclusionHGSCs are often not attached to the uterus, and EAOCs are positioned more posteriorly to the uterus than non-EAOCs.Critical relevance statementHigh-grade serous carcinomas were often not attached to the uterus, and endometriosis-associated ovarian cancers were positioned more posteriorly to the uterus than non-endometriosis-associated ovarian cancers.Key points• The position of the ovarian tumor can be determined using MRI.• High-grade serous carcinomas had less attachment to the uterus.• Endometriosis-associated cancers were positioned more posteriorly to the uterus.• The location of ovarian tumors is helpful in estimating histology.Graphical abstract

Association between Histopathologic Type of Ovarian Cancer and Serum CA-125 Level

Objective: to find an association between the serum CA-125 level and the histopathological type of ovarian tumor. Study Design: Cross-sectional study. Place and Duration of Study: Medical Oncology, Jinnah postgraduate Medical Center, Karachi Pakistan from Jan 2018 to Dec 2019. Methodology: This study included 107 patients presenting with epithelial ovarian cancer. In each case, histological type, pathological stage, degree of differentiation and serum CA-125 was evaluated. The association between preoperative CA-125 and histopathological type of tumor were evaluated. Result: About 107 ovarian cancer patients were included. The mean age in our study was 50.80±10.16 years. Raised CA-125 level was found in most of the patients with serous histology 46(56.1%). Conclusion: Serum level CA-125 elevated in most patients with serous histology. A statistically non-significant association was found between raise CA-125 levels and histological types of ovarian cancer.

Association between intake of the n-3 polyunsaturated fatty acid docosahexaenoic acid (n-3 PUFA DHA) and reduced risk of ovarian cancer: A systematic Mendelian Randomization study

Whether the intake of docosahexaenoic acid (DHA), an n-3 polyunsaturated fatty acid, is beneficial for ovarian cancer (OC) remains controversial and we hope to disentangle this puzzle using genetic data from large-scale populations in European and Asian. We employed, for the first time, a systematic Mendelian randomization (MR) design to comprehensively evaluate the causal effect of plasma DHA levels, an objective biomarker of DHA intake, on OC risk in European and then verified the extrapolation of the results in the Asian. Data in the analysis included genetic association data obtained from large-scale genome-wide association studies with 13,499 individuals for plasma DHA measurements and 66,450 individuals for OC in the European population, and 1361 individuals for plasma DHA measurements and 61,457 individuals for OC in the Asian population. The causal relationship between DHA and OC was estimated using the inverse-variance weighted approach, together with extensive validation and sensitivity analyses to verify the main results. In the European population, MR evidence suggested a causal relationship between higher plasma DHA levels and lower OC risk (OR, 0.89 for OC per one-SD increment in DHA; 95% CI, 0.83 to 0.96; P=0.003). Subgroup analysis by histological type of OC indicated that this observed association was stronger among endometrioid ovarian cancer (EOC) (OR, 0.82; 95% CI, 0.69 to 0.96; P=0.014). A similar causal association of borderline significance was reached in the Asian replication set. The above results were consistently supported by a series of validation and sensitivity analyses. Our study provided robust genetic evidence for a protective association between plasma DHA levels and lower risk of OC, especially EOC, in the European population. These findings may inform prevention strategies and interventions directed towards DHA intake and OC.

Selective Inhibition of L-type Amino Acid Transporter 1 Suppresses Cell Proliferation in Ovarian Clear Cell Carcinoma.

Ovarian clear cell carcinoma (OCCC) is a histological type of ovarian cancer that is refractory to chemotherapy and has poor prognosis, which necessitates the development of novel treatment therapies. In this study, we focused on L-type amino acid transporter 1 (LAT1), which is involved in cancer growth, and investigated the effect of its selective inhibition on cell proliferation in OCCC. The inhibitory effect of nanvuranlat (JPH203), a LAT1 selective inhibitor, on the cellular uptake of [3H] leucine was evaluated using the OCCC cell line JHOC9, which expresses the LAT1 protein. In addition, the kinetics of cell proliferation and changes in phosphorylation of the mTOR pathway were analyzed. The correlation between LAT1 expression and progression-free survival (PFS) was evaluated using clinical specimens of OCCC. Nanvuranlat inhibited [3H] leucine intracellular uptake and cell proliferation in a dose-dependent manner in JHOC9 cells. In addition, it suppressed the activity of the mTOR signaling pathway, which is thought to inhibit cancer cell proliferation. LAT1 expression was most frequent in OCCC among clinical specimens of epithelial ovarian cancer. A correlation between LAT1 expression and PFS was observed in OCCC. LAT1 selective inhibition suppresses cell proliferation via the mTOR pathway by inhibiting leucine uptake in OCCC. This study illustrates the potential of using LAT1 selective inhibition as a treatment strategy for OCCC.

Histopathological analysis of ovarian cancer in Benghazi medical center (BMC) in Benghazi - Libya from the years 2020-2021

Ovarian cancer is a growth of cells that forms in the ovaries. The cells multiply quickly and can invade and destroy healthy body tissue. Tumors of the ovary are remarkably varied as they may arise from any of the three cell types in the normal ovary. A retrospective study was conducted on 48 cases of ovarian specimens diagnosed as ovarian tumors in the Oncology department at Benghazi Medical Center from January 2020 to December 2021. The files were conducted by the staff members of the Oncology department, and the students divided themselves into groups to obtain the data from the department, the data were age, type of ovarian cancer, histological and cytological reports (microscopic description) and diagnosis. Twelve patients were in the age range 51-60 years old as the highest number followed by the age range 61-70 years of age at 11 patients. Most of the ovarian tumors were seen in patient in postmenopausal age more than 45 years of age with a percentage of 78.7%. Surface epithelial tumors were the most found at followed by metastatic tumors while germ cell tumors were not found in our sample. The most common subtype of ovarian tumors observed in this study was serous cystadenocarcinoma low grade and endometrioid adenocarcinoma, while the least common tumor seen was papillary mucinous cystadenocarcinoma. Concerning the occurrence of bilateral versus unilateral tumors, most of the cases were bilateral. The aim of our research was to study the histological types of ovarian cancer in Benghazi Medical Center in Benghazi - Libya from the years 2020-2021.

Endometriosis Stem Cells as a Possible Main Target for Carcinogenesis of Endometriosis-Associated Ovarian Cancer (EAOC).

Endometriosis is a serious recurrent disease impairing the quality of life and fertility, and being a risk for some histologic types of ovarian cancer defined as endometriosis-associated ovarian cancers (EAOC). The presence of stem cells in the endometriotic foci could account for the proliferative, migrative and angiogenic activity of the lesions. Their phenotype and sources have been described. The similarly disturbed expression of several genes, miRNAs, galectins and chaperones has been observed both in endometriotic lesions and in ovarian or endometrial cancer. The importance of stem cells for nascence and sustain of malignant tumors is commonly appreciated. Although the proposed mechanisms promoting carcinogenesis leading from endometriosis into the EAOC are not completely known, they have been discussed in several articles. However, the role of endometriosis stem cells (ESCs) has not been discussed in this context. Here, we postulate that ESCs may be a main target for the carcinogenesis of EAOC and present the possible sequence of events resulting finally in the development of EAOC.

Novel Diagnostic Biomarkers for High-Grade Serous Ovarian Cancer Uncovered by Data-Independent Acquisition Mass Spectrometry.

High-grade serous ovarian cancer (HGSOC) represents the major histological type of ovarian cancer, and the lack of effective screening tools and early detection methods significantly contributes to the poor prognosis of HGSOC. Currently, there are no reliable diagnostic biomarkers for HGSOC. In this study, we performed liquid chromatography data-independent acquisition tandem mass spectrometry (MS) on depleted serum samples from 26 HGSOC cases and 24 healthy controls (HCs) to discover potential HGSOC diagnostic biomarkers. A total of 1,847 proteins were identified across all samples, among which 116 proteins showed differential expressions between HGSOC patients and HCs. Network modeling showed activations of coagulation and complement cascades, platelet activation and aggregation, neutrophil extracellular trap formation, toll-like receptor 4, insulin-like growth factor, and transforming growth factor β signaling, as well as suppression of lipoprotein assembly and Fc gamma receptor activation in HGSOC. Based on the network model, we prioritized 28 biomarker candidates and validated 18 of them using targeted MS assays in an independent cohort. Predictive modeling showed a sensitivity of 1 and a specificity of 0.91 in the validation cohort. Finally, in vitro functional assays on four potential biomarkers (FGA, VWF, ARHGDIB, and SERPINF2) suggested that they may play an important role in cancer cell proliferation and migration in HGSOC. All raw data were deposited in PRIDE (PXD033169).

Identification of Novel Drugs Targeting Cell Cycle Regulators for the Treatment of High-Grade Serous Ovarian Cancer via Integrated Bioinformatics Analysis

High-grade serous ovarian carcinoma (HGSC), the most common and aggressive histological type of ovarian cancer, remains the leading cause of cancer-related deaths among females. It is important to develop novel drugs to improve the therapeutic outcomes of HGSC patients, thereby reducing their mortality. Symmetry is one of the most important properties of the biological network, which determines the stability of a biological system. As aberrant gene expression is a critical symmetry-breaking event that perturbs the stability of biological networks and triggers tumor progression, we aim in this study to discover new candidate drugs and predict their targets for HGSC therapy based on differentially expressed genes involved in HGSC pathogenesis. Firstly, 98 up-regulated genes and 108 down-regulated genes were identified from three independent transcriptome datasets. Then, the small-molecule compounds PHA-793887, pidorubicine and lestaurtinib, which target cell-cycle-related processes, were identified as novel candidate drugs for HGSC treatment by adopting the connectivity map (CMap)-based drug repositioning approach. Furthermore, through a topological analysis of the protein–protein interaction network, cell cycle regulators CDK1, TOP2A and AURKA were identified as bottleneck nodes, and their expression patterns were validated at the mRNA and protein expression levels. Moreover, the results of molecular docking analysis showed that PHA-793887, pidorubicine and lestaurtinib had a strong binding affinity for CDK1, TOP2A and AURKA, respectively. Therefore, our study repositioned PHA-793887, pidorubicine and lestaurtinib, which can inhibit cell cycle regulators, as novel agents for HGSC treatment, thereby helping to optimize the therapeutic strategy for HGSC.

Role of adipokines in ovarian cancer epidemiology and prognosis.

Ovarian cancer is one of the most serious problems in modern oncological gynecology. The link between obesity (expressed in BMI, WHR, waist circumference, body weight) and ovarian cancer has been poorly studied. Obesity is defined as an excessive accumulation of bodily fat, exceeding its physiological needs and adaptability. Study results suggest a link between specific histological types of ovarian cancer with increased patients' BMI. Adipose tissue is hormonally active and secretes biologically active proteins called adipokines. Resistin and leptin may show proliferative and anti-apoptotic effects. There is currently increasing attention to adipokine levels in ovarian cancer research. The influence of adiponectin on the secretion of angiogenic factors by ovarian cancer cells has been shown. It has been proven that leptin is associated with a worse prognosis for patients treated with platinum compounds combined with paclitaxel/docetaxel. The relation has been observed between the level of resistin and the growth of neoplastic cells, their spread and the resistance to chemotherapy. The level of AdipoR1 may be independent prognostic factor in the case of epithelial ovarian cancer. The role of adipokine in the neoplasm development requires further investigation, in the view of fact that results of current research are still inconclusive. Considering increasing number of people suffering from obesity as well as the current analysis results, it is necessary to extend experimentation on the influence of obesity on the development and prognosis of ovarian cancer.

Exosomal MicroRNA as Biomarkers for Diagnosing or Monitoring the Progression of Ovarian Clear Cell Carcinoma: A Pilot Study.

Ovarian cancer is the most common cause of gynecological malignancy-related mortality since early-stage disease is difficult to diagnose. Advanced clear cell carcinoma of the ovary (CCCO) has dismal prognosis, and its incidence has been increasing in Japan, emphasizing the need for highly sensitive diagnostic and prognostic CCCO biomarkers. Exosomal microRNAs (miRNAs) secreted by tumor cells are known to play a role in carcinogenesis; however, their involvement in ovarian cancer is unclear. In this study, we performed expression profiling of miRNAs from exosomes released by five cell lines representing different histological types of ovarian cancer. Exosomes isolated from culture media of cancer and normal cells were compared for miRNA composition using human miRNA microarray. We detected 143 exosomal miRNAs, whose expression was ≥1.5-fold higher in ovarian cancer cells than in the control. Among them, 28 miRNAs were upregulated in cells of all histological ovarian cancer types compared to control, and three were upregulated in CCCO cells compared to other types. Functional analyses indicated that miR-21 overexpressed in CCCO cells targeted tumor suppressor genes PTEN, TPM1, PDCD4, and MASP1. The identified miRNAs could represent novel candidate biomarkers to diagnose or monitor progression of ovarian cancer, particularly CCCO.

BRCA1/2 genes mutations frequency in patients with various histological types of ovarian cancer (data for South of Russia).

e17548 Background: About 10-15% of malignant ovarian tumors (OC) are associated with hereditary diseases, and about 65-85% of hereditary OC have a mutation in BRCA1/2 genes. The aim of the study was to analyze BRCA1/2 genes hereditary mutation spectrum in patients in the South of Russia diagnosed with OC. Methods: We used EDTA venous blood and FFPE-blocks of 324 patients with histologically verified epithelial OC (T1-3cNx-1Mx-1, stage I-IV). BRCA1 gene mutations (185delAG, 300T &gt; C, 2080delA, 4153delA, 5382insC, 3819delGTAAA, 3875delGTCT) and BRCA2 gene mutations (6174delT) were determined by real-time PCR. Results: The most common types of OC were poorly differentiated serous carcinoma (high degree of malignancy) - 75.6%, well-differentiated serous carcinoma (low degree of malignancy) - 13%, mucinous tumors - 2.8%, endometrioid tumors - 4.3%, clear cell adenocarcinomas - 4.3%. BRCA1/2 genes mutations were found in 52 (16%) patients with OC. The frequency of detected BRCA1/2 genes mutations was: 5382insC - 53.8%, 4153 delA - 9.6%, 300T &gt; G - 21.2%, 2080delA - 7.7%, 185delAG - 3.8%, 6174delT - 3.8%. 3819delGTAAA and 3875delGTCT mutations were not found in the BRCA1 gene. All carriers were confirmed to have the same mutations in the tumor. There were no cases of sporadic changes in BRCA1/2. BRCA1 mutation carriers prevailed in the group of high-grade serous carcinoma patients (11.1%), where all cases of BRCA2 gene mutations were identified. In the group of low-grade serous carcinoma patients, the mutation rate was 1.5%, in the endometrioid adenocarcinomas group - 0.6%, in the mixed epithelial tumors group - 2.8%. In the group of patients with mucinous tumors, mutations were not detected. Conclusions: Thus, frequency of BRCA1/2 gene mutations in OC patients living in the South of Russia was 16.0%. Distribution of mutation types in the BRCA1 gene, with a predominance of 5382insC (53.8%) and 300T &gt; G (21.2%), corresponded to their occurrence ratio in the European populations. BRCA1/2 gene mutations were registered more often in the group of high-grade serous carcinoma patients.

The significance of interferon gamma inducible protein 16 (IFI16) expression in drug resistant ovarian cancer cell lines.

Inherent or developed during treatment drug resistance is the main reason for the low effectiveness of chemotherapy in ovarian cancer. IFI16 is a cytoplasmic/nuclear protein involved in response to virus's infection and cell cycle arrest associated with the cellular senescence. Here we performed a detailed IFI16 expression analysis in ovarian cancer cell lines sensitive (A2780) and resistant to doxorubicin (DOX) (A2780DR1 and A2780DR2) and paclitaxel (PAC) (A2780PR1). IFI16 mRNA level, protein level in the nuclear and cytoplasmic fraction (Western blot analysis), the protein expression in cancer cells and nuclei (immunofluorescence analysis) and cancer patient lesions (immunohistochemistry) were performed in this study. We observed upregulation of IFI16 expression in drug resistant cell lines with dominant cytoplasmic localization in DOX-resistant cell lines and nuclear one in the PAC-resistant cell line. The most abundantly overexpressed isoforms of IFI16 were IFI16A and IFI16C. Finally, an analysis of a histological type of ovarian cancer (immunohistochemistry) showed expression in serous ovarian cancer. Expression of IFI16 in drug-resistant cell lines suggests its role in drug resistance development in ovarian cancer. Expression in serous ovarian cancer suggests its role in the pathogenesis of this histological type.

Immune-related gene expression signatures: a step forward in the stratification of patients with ovarian clear cell carcinoma†.

Clear cell carcinoma of the ovary (CCC) is one of the five major histological types of ovarian cancer and presents specific clinicopathological features, such as a higher prevalence in the Asian population and a poor response to conventional chemotherapy. In a recent publication in The Journal of Pathology, Heong, Tan, Miwa et al demonstrated the heterogeneity of the immune landscape of CCC. They reported the immune signatures observed in a large cohort of CCC, including tumours from both Asian and Caucasian women. The authors analysed three cohorts from Europe, Japan, and Singapore, with a total of 246 tumours, and evaluated 730 immune-related genes using NanoString technology. The study revealed four main transcriptional subtypes characterised by the expression of specific sets of genes: PD1-high (11%), CTLA4-high (29%), antigen-presentation (42%), and a pro-angiogenic subtype (18%). The two main conclusions of the study were: (1) that CCCs in women of Asian and Caucasian descent share significant molecular similarities, since all four molecular signatures are present in all the cohorts analysed, without any evident differences in frequency; and (2) that the PD1-high and CTLA4-high subtypes were associated with worse clinical outcomes and may be useful when stratifying treatment in early-stage tumours. The immune signature could represent a promising biomarker of immunotherapy response if future prospective studies confirm it. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Establishment and validation of a novel nomogram for survival prediction of ovarian carcinosarcoma.

BackgroundOvarian carcinosarcoma (OCS) is a rare and aggressive histological type of ovarian cancer. Current prognostic methods for OCS are insufficient. This study was undertaken to establish and validate a novel nomogram for predicting the overall survival (OS) of OCS patients.MethodsWe extracted 820 patients with OCS from the Surveillance, Epidemiology, and End Results (SEER) database and further randomly assigned them to a training set (n=574) and a validation set (n=246) at a ratio of 7-to-3. Univariate and multivariate regression analyses were utilized to verity independent prognostic factors, and a prognostic nomogram was constructed based on the results. The performance of the new model was compared with that of the AJCC staging system using the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration curve, and decision curve analysis (DCA).ResultsCox regression analysis suggested that age, grade, tumor size, the American Joint Committee on Cancer (AJCC) stage, surgery, and chemotherapy were the independent prognostic factors. These factors were integrated into a prognostic nomogram to determine the 1-, 3-, and 5-year OS of OCS patients. The AUC, NRI, IDI, calibration curves, and DCA data demonstrated that our nomogram had better discriminative ability than the AJCC staging system alone. The calibration curves indicate that the nomogram was well-calibrated. The DCA verified the clinical applicability of the nomogram.ConclusionsOur current study is the first to establish and internally validate a novel nomogram for predicting the 1-, 3-, and 5-year OS probabilities of OCS patients. Our prognostic nomogram was of good performance and can be an accurate tool to predict individualized survival time of OCS in clinical work.

An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer.

This retrospective single-center study included patients diagnosed with epithelial ovarian cancer (EOC) using preoperative pelvic magnetic resonance imaging (MRI). The apparent diffusion coefficient (ADC) of the axial MRI maps that included the largest solid portion of the ovarian mass was analysed. The mean ADC values (ADCmean) were derived from the regions of interest (ROIs) of each largest solid portion. Logistic regression and three types of machine learning (ML) applications were used to analyse the ADCs and clinical factors. Of the 200 patients, 103 had high-grade serous ovarian cancer (HGSOC), and 97 had non-HGSOC (endometrioid carcinoma, clear cell carcinoma, mucinous carcinoma, and low-grade serous ovarian cancer). The median ADCmean of patients with HGSOC was significantly lower than that of patients without HGSOCs. Low ADCmean and CA 19-9 levels were independent predictors for HGSOC over non-HGSOC. Compared to stage I disease, stage III disease was associated with HGSOC. Gradient boosting machine and extreme gradient boosting machine showed the highest accuracy in distinguishing between the histological findings of HGSOC versus non-HGSOC and between the five histological types of EOC. In conclusion, ADCmean, disease stage at diagnosis, and CA 19-9 level were significant factors for differentiating between EOC histological types.