Search Results (574)

Background/Objectives: Aberrant expression of high-mobility group protein B1 (HMGB1) has been linked to cancer development and progression. Methods: To better comprehend the role of HMGB1 expression in cancer, a tissue microarray containing 14,966 samples from 134 different tumor entities and 608 samples of 76 different normal tissue types was analyzed by immunohistochemistry. Results: Strong HMGB1 staining occurred in almost all normal cell types and in most cancers. Of 11,808 evaluable cancers, only 7.8% showed complete absence of HMGB1 staining (HMGB1 deficiency) while 9.9% showed 1+, 25.0% showed 2+, and 57.2% showed 3+ HMGB1 positivity. Absence of HMGB1 staining mostly occurred in pheochromocytoma (90.0%), seminoma (72.4%), gastrointestinal stromal tumor (28.6%), adrenal cortical carcinoma (25.0%), and Hodgkin’s lymphoma (25.0%). Low HMGB1 staining was linked to poor histologic grade (p < 0.0001), advanced pT stage (p < 0.0001), high UICC stage (p < 0.0001), and distant metastasis (p = 0.0413) in clear cell renal cell carcinoma, invasive tumor growth in urothelial carcinoma (pTa vs. pT2–4, p < 0.0001), mismatch repair deficiency (p = 0.0167) in colorectal cancers, and advanced pT stage in invasive breast carcinoma of no special type (p = 0.0038). Strong HMGB1 staining was linked to nodal metastases in high-grade serous ovarian carcinomas (p = 0.0213) and colorectal adenocarcinomas (p = 0.0137), as well as to poor histological grade in squamous cell carcinomas (p = 0.0010). Conclusions: HMGB1 deficiency and reduced HMGB1 expression occur in a broad range of different tumor entities. Low rather than strong HMGB1 staining is often linked to an aggressive tumor phenotype. Whether HMGB1 deficiency renders cells susceptible to specific drugs remains to be determined. Full article

High-grade serous ovarian cancer (HGSC) is a heterogeneous disease. RNA sequencing (RNAseq) of bulk solid tissue is of limited use in these populations due to heterogeneity. Single-cell RNA-seq (scRNA-seq) allows for the identification of diverse genetic compositions of heterogeneous cell populations. New computational methodologies are now available that use scRNAseq results to estimate cell type proportions in bulk RNAseq data. We performed bulk RNA-seq gene expression analysis on 112 HGSC specimens and 12 benign fallopian tube (FT) controls. We identified several publicly available scRNAseq datasets for use as annotation and reference datasets. Deconvolution was performed with MUlti-Subject SIngle Cell Deconvolution (MuSiC) to estimate cell type proportions in the bulk RNA-seq data. Datasets from the Cancer Genome Atlas (TCGA). HGSC repositories were also evaluated. Clinical variables and percentages of cell types were compared for differences in clinical outcomes and treatment results. Pathway enrichment analysis was also performed. Different annotations for referenced scRNA-seq datasets used for deconvolution of bulk RNA-seq data revealed different cellular proportions that were significantly associated with clinical outcomes; for example, higher proportions of macrophages were associated with a better response to primary chemotherapy. Our deconvolution study of bulk RNAseq HGSC samples identified cell populations within the tumor that may be associated with some of the observed clinical outcomes. Full article

Bacterial communities within the female upper genital tract may influence the risk of ovarian cancer. In this retrospective cohort pilot study, we aim to detect different communities of bacteria between ovarian cancer and normal controls using topic modeling, a natural language processing tool. RNA was extracted and analyzed using the VITCOMIC2 pipeline. Topic modeling assessed differences in bacterial communities. Idatuning identified an optimal latent topic number and Latent Dirichlet Allocation (LDA) assessed topic differences between high-grade serous ovarian cancer (HGSOC) and controls. Results were validated using The Cancer Genome Atlas (TCGA) HGSOC dataset. A total of 801 unique taxa were identified, with 13 bacteria significantly differing between HGSOC and normal controls. LDA modeling revealed a latent topic associated with HGSOC samples, containing bacteria Escherichia/Shigella and Corynebacterineae. Pathway analysis using KEGG databases suggest differences in several biologic pathways including oocyte meiosis, aldosterone-regulated sodium reabsorption, gastric acid secretion, and long-term potentiation. These findings support the hypothesis that bacterial communities in the upper female genital tract may influence the development of HGSOC by altering the local environment, with potential functional implications between HGSOC and normal controls. However, further validation is required to confirms these associations and determine mechanistic relevance. Full article

High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of ovarian cancer, accounting for approximately 70% of cases. This study investigates genetic mutations and their associations with overall survival (OS), complete cytoreduction (R0), and platinum response in patients undergoing either primary debulking surgery followed by adjuvant chemotherapy (PDS) or neoadjuvant chemotherapy followed by interval debulking surgery (NACT). Genetic analysis was performed on 43 primary HGSOC tumor samples using targeted massive parallel sequencing via next-generation sequencing (NGS). Clinical and molecular data were evaluated collectively and through subgroup comparisons between PDS and NACT cohorts. All analyzed samples harbored genetic alterations. Univariate survival analysis revealed that the total number of mutations (p = 0.0035), as well as mutations in HRAS (p = 0.044), FLT3 (p = 0.023), TP53 (p = 0.03), and ERBB4 (p = 0.007), were significantly associated with poorer OS. Multivariate Cox regression integrating clinical and molecular data confirmed that ERBB4 mutations are independently associated with adverse outcomes. These findings reveal a distinctive mutational landscape between the PDS and NACT groups and suggest that ERBB4 alterations may define a particularly aggressive tumor phenotype. This study contributes to a deeper understanding of HGSOC biology and may support the development of novel therapeutic targets and personalized treatment strategies in the context of precision oncology. Full article

Background: The identification of pathogenic variants in the Breast Cancer Genes 1 and 2 (BRCA1/2) is a critical predictive biomarker for poly (ADP-ribose) polymerase inhibitor (PARPi) therapy in epithelial ovarian cancer (EOC). The aim of this study is to define real-world rates and determinants of germline and somatic BRCA1/2 testing and subsequent PARPi utilisation in Australia using a national clinical quality registry. Methods: This multi-centre cohort study analysed data from 1503 women with non-mucinous EOC diagnosed between May 2017 and July 2022, captured by the Australian National Gynae-Oncology Registry (NGOR). We evaluated rates of germline and somatic testing and PARPi use, using multivariate logistic regression to identify associated clinical and demographic factors. Results: Overall germline and somatic testing rates were 68% and 32%, respectively. For the high-grade serous ovarian cancer (HGSOC) cohort, rates were higher, at 78% and 39%, respectively. Germline testing was significantly less likely for women aged >80 years (OR 0.49), those in regional areas (OR 0.61), and those receiving single-modality treatment. Somatic testing uptake increased significantly following public reimbursement for PARPi (p = 0.004). Among eligible women with a newly diagnosed BRCA pathogenic variant and advanced disease (n = 110), 52% commenced first-line maintenance PARPi. Conclusions: This national study offers valuable insights into Australian ovarian cancer care, highlighting opportunities to enhance testing equity for older women (aged >80) and regional patients. Furthermore, it identifies the translation of a positive test into PARPi therapy as a complex area that warrants further collaborative investigation to optimise patient outcomes. Full article

Background/Objectives: Mutations in the BRCA1 and BRCA2 genes are well-known risk factors for ovarian cancer. They are also associated with response to platinum-based chemotherapy; however, their definitive impact on patient prognosis remains not fully understood. This study aimed to investigate the influence of BRCA mutation status on the age of ovarian cancer onset and on treatment outcomes in patients with high-grade serous ovarian cancer. Methods: This single-center retrospective analysis included newly diagnosed FIGO stage III and IV HGSOC patients treated between June 2018 and April 2023. Patients’ age, tumor histology, CA125 levels, BRCA mutation status, type of treatment (neoadjuvant or adjuvant chemotherapy), and surgical outcomes were collected and analyzed. Survival analyses were performed using the Kaplan–Meier method and log-rank test. Results: Pathogenic mutations were identified in 25 patients (15 in BRCA1, 10 in BRCA2). Patients with a BRCA mutation were diagnosed at a significantly younger age (median 58.78 years) compared to non-carriers (66.81 years; p < 0.001), with BRCA1 carriers being diagnosed the youngest (median 46.52 years). The study found no statistically significant difference in progression-free survival (PFS) between BRCA carriers and non-carriers. However, a significant improvement in overall survival (OS) was observed for patients with a BRCA1 mutation (p = 0.036). No significant OS difference was found for BRCA2 carriers. Conclusions: BRCA mutations, particularly in the BRCA1 gene, are associated with an earlier onset ovarian cancer. BRCA1 mutation appears to be a favorable prognostic factor for overall survival in patients with HGSOC. Our findings demonstrate the clinical implications of different BRCA mutations and support the need for further research in larger cohorts to confirm their influence on prognostic effects. Full article

Background: Assessment of the peritoneal cancer burden is crucial for determining the optimal treatment in advanced ovarian cancer (AOC). Effective non-invasive methods to predict tumour load remain limited. This study aimed to assess the applicability of 2-[¹⁸F]FDG PET/CT volumetric parameters, metabolic tumour volume (MTV), and total lesion glycolysis (TLG) for predicting the surgical peritoneal cancer index (PCI) in AOC before primary treatment. Methods: Patients with high-grade serous or undifferentiated AOC who underwent surgical PCI evaluation and 2-[¹⁸F]FDG PET/CT between 01/2013 and 12/2018 were included. MTV and TLG were calculated using thresholds of 40% and 50% (MTV40, MTV50, TLG40, and TLG50). Correlations between the peritoneal carcinomatosis MTV (car_MTV) and TLG (car_TLG) were analysed. The capacity of volumetric parameters to estimate PCIs above or below 14 and 20 was assessed for the whole abdominal cavity and in per-quadrant analysis, specifically for upper-abdomen areas 1, 2, and 3 (MTV40_1, 2, 3 and TLG40_1, 2, 3). Results: MTV40, MTV50, TLG40, and TLG50 significantly correlated with the PCI in the final study population (n = 45). MTV40 showed a Pearson coefficient of 0.41 (p = 0.003). MTV3_40 (AUC 0.79) and TLG3_40 (AUC 0.81) presented the highest AUCs for predicting a PCI above or below 14. The volumetric parameters allowed the prediction of a PCI greater or less than 20, with an AUC of 0.77 for MTV40_1 and 0.78 for TLG40_1. Conclusions: 2-[¹⁸F]FDG PET/CT MTV and TLG correlate significantly with the surgical PCI when assessing peritoneal carcinomatosis or quadrant-specific disease. This approach offers a reliable non-invasive method for evaluating tumour burden in AOC. Full article

High-grade serous ovarian cancer (HGSOC) is an aggressive gynecological malignancy characterized by intraperitoneal spread and chemotherapy resistance. Chemotherapies have demonstrated limited effectiveness in HGSOC, underscoring the urgent need to evaluate how the tumor microenvironment (TME) was reshaped by chemotherapy in different sites of tumor foci. In this study, we performed single-cell transcriptomic analysis to explore the TME in samples obtained from various sites of tumor foci, with or without the history of Neoadjuvant chemotherapy (NACT). We discovered that chemotherapy reshaped the tumor immune microenvironment, evident through the reduction in human leukocyte antigen (HLA) diversity and the increase in PDCD1/CD274 in CD8_ANXA1, LAMP3+ dendritic cell (DC_LAMP3), and EREG+ monocytes (mono_EREG). Moreover, cancer.cell.2, cancer-associated C3+ fibroblasts (CAF_C3), and Fibrocyte_CD34, which are prone to accumulate in the metastatic site and post-NACT group, harbored poor clinical outcome, reflected in the immune exclusion and tumor progression signaling. Cell–cell communication identified a stronger interaction between cancer.cell.2 and CAF_C3, as well as Fibrocyte_CD34, in post-NACT samples, indicating that chemotherapy reshapes pre-existing cell clusters in a site-dependent manner. Our findings suggest that chemotherapy and sites of foci were critical for the transcriptional reprogramming of pre-existed cell clusters. Our study offers a single-cell phenotype data substrate from which to develop a personalized combination of chemotherapy and immunotherapy. Full article

Background/Objectives: Endometriosis and high-grade serous ovarian cancer (HGS-OC) share common features within the peritoneal immune microenvironment, yet they exhibit divergent clinical outcomes. This study aimed to dissect the immune–metabolic landscape of the peritoneal cavity in patients with endometriosis and ovarian cancer by evaluating macrophage polarization, intracellular signaling pathways, and iron-driven oxidative stress. Methods: A prospective cohort study enrolled 40 patients with endometriosis, 198 with ascitic ovarian cancer (178 HGS-OC), and 200 controls with benign gynecological conditions. Peritoneal and peripheral blood samples were analyzed via flow cytometry for macrophage (M1/M2) polarization markers, mTOR/AKT expression, and glucose uptake. Inflammatory markers (IL-6, CRP), oxidative stress (ROS), and iron metabolism parameters (hepcidin, ferritin, transferrin, serum/free iron) were quantified. Results: HGS-OC displayed a predominance of M1-polarized tumor-associated macrophages (TAMs) (CD14⁺/CD80⁺/Glut1⁺) and a high M1/M2 ratio (2.5 vs. 0.8 and 0.9; p = 0.019), correlating positively with IL-6 (p = 0.015), ROS (p = 0.023), hepcidin (p = 0.038), and ferritin (p = 0.043). Conversely, endometriosis showed a dominant M2 profile (CD14⁺/CD163⁺), elevated intracellular mTOR and AKT expression in both TAMs and epithelial cells (p < 0.01), and significantly higher ascitic ROS and free iron levels (p = 0.047 and p < 0.0001, respectively). In endometriosis, the M1/M2 ratio correlated inversely with free iron (p = 0.041), while ROS levels were directly associated with iron overload (p = 0.0034). Conclusions: Endometriosis exhibits a distinct immune–metabolic phenotype characterized by M2 macrophage predominance and iron-induced oxidative stress, contrasting with the inflammatory, M1-rich profile of HGS-OC. These findings suggest that iron metabolism and macrophage plasticity contribute to disease persistence in endometriosis and may inform future immunomodulatory strategies. Full article

Background/Objectives: The effects of combining chemotherapy with hormonal therapy based on hormone receptor (HR) expression in epithelial ovarian, fallopian tube, or primary peritoneal (EOC) remain unclear. This study evaluated the efficacy and safety of physician-chosen chemotherapy combined with hormonal therapy in patients with heavily pretreated advanced EOC, stratified by HR expression. Methods: This phase II, multicenter, pilot study included patients with heavily pretreated advanced EOC, allocated to estrogen receptor (ER)-dominant or progesterone receptor (PR)-dominant arms. Patients in the ER-dominant arm received tamoxifen plus physician-selected chemotherapy, while those in the PR-dominant arm received megestrol acetate (MA) plus chemotherapy. The primary outcome was the best objective response rate (ORR) for six months, assessed using an optimal two-stage Simon design. Results: Among 33 ER-dominant patients with high-grade serous carcinoma (HGSC), the six-month best ORR was 27.3% (3% complete response, 24.2% partial response). The six-month ORR and clinical benefit rate (CBR) were 18.8% and 37.5%, respectively, with 62.5% experiencing progressive disease (PD). Among three PR-dominant patients (two clear cell carcinoma and one HGSC), the six-month best ORR was 0%. The six-month ORR and CBR were also 0%, and all experienced PD within six months. No unacceptable toxicity related to tamoxifen or MA was encountered. Conclusions: In heavily pretreated advanced HGSC patients with ER-dominant expression, chemotherapy combined with tamoxifen showed encouraging clinical activity with favorable safety. While limited by the study design, these findings suggest a potential role for tailored hormonal therapy combined with chemotherapy based on HR expression in heavily pretreated advanced EOC. Clinical Trial Registration: KCT0004571 Full article

Background: The glucocorticoid receptor (GR) regulates the transcription of thousands of genes. In cancer, both oncogenic and tumor suppressive roles of GR have been proposed. Methods: A tissue microarray containing 18,527 samples from 147 tumor (sub-)types and 608 samples from 76 normal tissue types was analyzed for GR expression by immunohistochemistry. Results: GR positivity was found in 76.4% of 14,349 interpretable cancers, including 18.5% with weak, 19.6% with moderate, and 38.3% with strong positivity. GR positivity appeared in all 147 tumor types, with at least one strongly positive tumor in 136 types. Of out tumor entities, 77 of the 147 showed GR positivity in 100% of the cases analyzed. Only six tumor types had less than 50% GR-positive cases, including adenomas with low-/high-grade dysplasia (32.5%/21.7%), adenocarcinomas (17%) and neuroendocrine carcinomas (45.5%) of the colorectum, endometrial carcinomas (25.6%), and rhabdoid tumors (25%). Reduced GR staining was associated with grade progression in pTa (p < 0.0001) and with nodal metastasis in pT2-4 (p = 0.0051) urothelial bladder carcinoma, advanced pT stage (p = 0.0006) in breast carcinomas of no special type (NST), and high grade (p = 0.0066), advanced pT stage (p < 0.0001), and distant metastasis (p = 0.0081) in clear cell renal cell carcinoma. GR expression was unrelated to clinico-pathological parameters in gastric, pancreatic, and colorectal adenocarcinoma, and in serous high-grade carcinoma of the ovary. Conclusions: GR expression is frequent across all cancer types. Associations between reduced GR expression and unfavorable tumor features in certain cancers suggest that the functional importance of GR-regulated genes in cancer progression depends on the cell of tumor origin. Full article

Background/Objectives: Patients with advanced ovarian cancer face a high risk of venous thromboembolism (VTE). This study evaluates the incidence and risk factors for pulmonary thromboembolism (PE) in patients with advanced high-grade serous ovarian carcinoma (HGSOC) undergoing primary treatment, with a focus on personalized risk stratification. Methods: A retrospective analysis was conducted on women with FIGO stage IIIA-IVB HGSOC treated at the University Hospital of Parma between January 2012 and May 2023. All patients underwent CT-based staging prior to primary treatment. When resectability was uncertain, diagnostic laparoscopy and the Fagotti score were performed. Based on cytoreductive potential, patients received either primary debulking surgery (PDS) followed by adjuvant chemotherapy (AC) or neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) and AC. The Khorana score, a thromboembolic risk model, was calculated prior to chemotherapy. Logistic regression was used to assess the association between baseline characteristics and PE. Results: Among 167 HGSOC patients analyzed, 13 (7.8%) experienced PE. Among the 115 patients undergoing diagnostic laparoscopy, each 2-point increase in the Fagotti score above 8 raised PE risk by 76% (OR 1.76, p = 0.006, 95% CI: 1.17–2.63). Patients undergoing NACT-IDS had a significantly higher risk of PE (OR 4.04, 95% CI: 1.19–13.74, p = 0.02) than patients who underwent PDS. A Khorana score of 3 was an independent predictor of PE (OR 37.66, 95% CI: 2.43–582.36, p = 0.009). Conclusions: Based on our results, NACT followed by IDS or a Fagotti score greater than 8 were associated with increased PE risk in HGSOC patients. Khorana score was the strongest predictor of PE in HGSOC patients. Full article

Background/Objectives: Tumor-infiltrating lymphocytes (TILs) and inflammation status are emerging prognostic markers in various cancers, but their significance in high-grade serous ovarian carcinoma (HGSC) remains unclear. Our objective was to evaluate different TIL subtypes and inflammation status in relation to progression-free survival (PFS) in primary HGSC. Methods: CD3⁺/CD4⁺/CD8⁺/PD-1+ stromal TILs (sTILs) and intraepithelial TILs (iTILs) were evaluated by manual assessment and digital image analysis (DIA), following TIL Working Group recommendations. Inflammation status was evaluated through the following scores: systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), CA125, and lactate dehydrogenase (LDH). Results: CD8⁺ TILs were the most prevalent subtype in both iTILs and sTILs. However, sTILs were significantly more abundant than iTILs (p < 0.001) among all subsets, except for PD-1+ cells. DIA results of TIL assessments were in agreement with manual assessments. High stromal CD3⁺ and CD8⁺ TILs, PIV, CA125, and LDH, were associated with improved PFS. Potential independent prognostic factors for PFS in manual assessment were PIV (HR = 0.32, CI 95% = 0.12–0.82) and CD8⁺ sTILs (HR = 0.30, CI 95% = 0.12–0.79), whereas in DIA assessment they were CD3⁺ sTILs (HR = 0.31, CI 95% = 0.15–0.67), PIV (HR = 0.35, 95% CI 0.13–0.96), and residual disease (HR = 0.21 95% CI 0.08–0.53). Conclusions: CD3⁺/CD8⁺ sTILs and PIV are promising prognostic indicators in HGSC; however, further research is needed to confirm their clinical utility. Full article

Background: High-grade serous ovarian cancer (HGSOC) is a highly aggressive malignancy with poor prognosis due to late-stage diagnosis and limited treatments. Identifying differentially expressed genes (DEGs), and immune cell infiltration patterns may improve prognostic assessment and therapeutic strategies. Methods: We conducted a meta-analysis of gene expression data from the GEO (Gene Expression Omnibus, NCBI). DEGs were identified, functionally enriched, and analyzed for protein-protein interactions. Overlaps with oncogenes and tumor suppressor genes were examined. Cox survival analysis and a gene expression-based risk stratification model were developed. Immune infiltration differences were assessed using deconvolution methods. Results: A total of 11 studies (291 HGSOC, 96 controls) identified 892 DEGs, mainly involved in mitochondrial function, vesicle trafficking, and immune regulation. Key oncogenes (EZH2, PDK1, ERBB2) and tumor suppressor genes (BRCA1, DUSP22) were identified. Survival analysis associated the expression of SEC24B, TGOLN2, TRAK1, and CAST with poor prognosis. Low-risk patients had higher activated dendritic cells and CD4+ memory T cells while high-risk patients were enriched in common lymphoid progenitors and megakaryocyte-erythroid progenitors. Conclusions: This study identifies key DEGs in HGSOC progression and presents a risk stratification model predicting patient outcomes. Full article

One of the most prevalent types of cancer among women is ovarian cancer. The search for ovarian cancer markers is constantly ongoing. Evaluation of LAG-3 and TIM-3 protein expression in ovarian cancer tissue and its role in distinguishing the clinical signs stated were the objectives of this study. Methods: A total of 58 ovarian cancer patients were recruited for this study. The cohort was split into two groups: one for high-grade serous ovarian cancer (HGSOC) and another for ovarian cancer that was not HGSOC (non-HGSOC). LAG-3 and TIM-3 protein expression in ovarian cancer tissue samples was evaluated by immunohistochemistry. StatView 5.0 software (Carry, NC, USA) was used for all statistical analyses. Both LAG-3 and TIM-3 proteins mostly showed positive, moderately positive, or strongly positive expression. This study shows that LAG-3 could be a marker associated with BMI in the non-HGSOC group. TIM-3 may be a marker associated with age in a group of all ovarian cancers. LAG-3 expression is associated with TIM-3 expression in the total cohort and the HGSOC and non-HGSOC groups. Full article