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142,641 result(s) for "Ovarian cancer"
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Artificial Intelligence in Ovarian Cancer: A Systematic Review and Meta-Analysis of Predictive AI Models in Genomics, Radiomics, and Immunotherapy
Background/Objectives: Artificial intelligence (AI) is increasingly influencing oncological research by enabling precision medicine in ovarian cancer through enhanced prediction of therapy response and patient stratification. This systematic review and meta-analysis was conducted to assess the performance of AI-driven models across three key domains: genomics and molecular profiling, radiomics-based imaging analysis, and prediction of immunotherapy response. Methods: Relevant studies were identified through a systematic search across multiple databases (2020–2025), adhering to PRISMA guidelines. Results: Thirteen studies met the inclusion criteria, involving over 10,000 ovarian cancer patients and encompassing diverse AI models such as machine learning classifiers and deep learning architectures. Pooled AUCs indicated strong predictive performance for genomics-based (0.78), radiomics-based (0.88), and immunotherapy-based (0.77) models. Notably, radiogenomics-based AI integrating imaging and molecular data yielded the highest accuracy (AUC = 0.975), highlighting the potential of multi-modal approaches. Heterogeneity and risk of bias were assessed, and evidence certainty was graded. Conclusions: Overall, AI demonstrated promise in predicting therapeutic outcomes in ovarian cancer, with radiomics and integrated radiogenomics emerging as leading strategies. Future efforts should prioritize explainability, prospective multi-center validation, and integration of immune and spatial transcriptomic data to support clinical implementation and individualized treatment strategies. Unlike earlier reviews, this study synthesizes a broader range of AI applications in ovarian cancer and provides pooled performance metrics across diverse models. It examines the methodological soundness of the selected studies and highlights current gaps and opportunities for clinical translation, offering a comprehensive and forward-looking perspective in the field.
Cell Origins of High-Grade Serous Ovarian Cancer
High-grade serous ovarian cancer, also known as high-grade serous carcinoma (HGSC), is the most common and deadliest type of ovarian cancer. HGSC appears to arise from the ovary, fallopian tube, or peritoneum. As most HGSC cases present with widespread peritoneal metastases, it is often not clear where HGSC truly originates. Traditionally, the ovarian surface epithelium (OSE) was long believed to be the origin of HGSC. Since the late 1990s, the fallopian tube epithelium has emerged as a potential primary origin of HGSC. Particularly, serous tubal intraepithelial carcinoma (STIC), a noninvasive tumor lesion formed preferentially in the distal fallopian tube epithelium, was proposed as a precursor for HGSC. It was hypothesized that STIC lesions would progress, over time, to malignant and metastatic HGSC, arising from the fallopian tube or after implanting on the ovary or peritoneum. Many clinical studies and several mouse models support the fallopian tube STIC origin of HGSC. Current evidence indicates that STIC may serve as a precursor for HGSC in high-risk women carrying germline BRCA1 or 2 mutations. Yet not all STIC lesions appear to progress to clinical HGSCs, nor would all HGSCs arise from STIC lesions, even in high-risk women. Moreover, the clinical importance of STIC remains less clear in women in the general population, in which 85–90% of all HGSCs arise. Recently, increasing attention has been brought to the possibility that many potential precursor or premalignant lesions, though composed of microscopically—and genetically—cancerous cells, do not advance to malignant tumors or lethal malignancies. Hence, rigorous causal evidence would be crucial to establish that STIC is a bona fide premalignant lesion for metastatic HGSC. While not all STICs may transform into malignant tumors, these lesions are clearly associated with increased risk for HGSC. Identification of the molecular characteristics of STICs that predict their malignant potential and clinical behavior would bolster the clinical importance of STIC. Also, as STIC lesions alone cannot account for all HGSCs, other potential cellular origins of HGSC need to be investigated. The fallopian tube stroma in mice, for instance, has been shown to be capable of giving rise to metastatic HGSC, which faithfully recapitulates the clinical behavior and molecular aspect of human HGSC. Elucidating the precise cell(s) of origin of HGSC will be critical for improving the early detection and prevention of ovarian cancer, ultimately reducing ovarian cancer mortality.
Ovarian cancer statistics, 2018
In 2018, there will be approximately 22,240 new cases of ovarian cancer diagnosed and 14,070 ovarian cancer deaths in the United States. Herein, the American Cancer Society provides an overview of ovarian cancer occurrence based on incidence data from nationwide population‐based cancer registries and mortality data from the National Center for Health Statistics. The status of early detection strategies is also reviewed. In the United States, the overall ovarian cancer incidence rate declined from 1985 (16.6 per 100,000) to 2014 (11.8 per 100,000) by 29% and the mortality rate declined between 1976 (10.0 per 100,000) and 2015 (6.7 per 100,000) by 33%. Ovarian cancer encompasses a heterogenous group of malignancies that vary in etiology, molecular biology, and numerous other characteristics. Ninety percent of ovarian cancers are epithelial, the most common being serous carcinoma, for which incidence is highest in non‐Hispanic whites (NHWs) (5.2 per 100,000) and lowest in non‐Hispanic blacks (NHBs) and Asians/Pacific Islanders (APIs) (3.4 per 100,000). Notably, however, APIs have the highest incidence of endometrioid and clear cell carcinomas, which occur at younger ages and help explain comparable epithelial cancer incidence for APIs and NHWs younger than 55 years. Most serous carcinomas are diagnosed at stage III (51%) or IV (29%), for which the 5‐year cause‐specific survival for patients diagnosed during 2007 through 2013 was 42% and 26%, respectively. For all stages of epithelial cancer combined, 5‐year survival is highest in APIs (57%) and lowest in NHBs (35%), who have the lowest survival for almost every stage of diagnosis across cancer subtypes. Moreover, survival has plateaued in NHBs for decades despite increasing in NHWs, from 40% for cases diagnosed during 1992 through 1994 to 47% during 2007 through 2013. Progress in reducing ovarian cancer incidence and mortality can be accelerated by reducing racial disparities and furthering knowledge of etiology and tumorigenesis to facilitate strategies for prevention and early detection.
Population genetic screening efficiently identifies carriers of autosomal dominant diseases
Three inherited autosomal dominant conditions— BRCA -related hereditary breast and ovarian cancer (HBOC), Lynch syndrome (LS) and familial hypercholesterolemia (FH)—have been termed the Centers for Disease Control and Prevention Tier 1 (CDCT1) genetic conditions, for which early identification and intervention have a meaningful potential for clinical actionability and a positive impact on public health 1 . In typical medical practice, genetic testing for these conditions is based on personal or family history, ethnic background or other demographic characteristics 2 . In this study of a cohort of 26,906 participants in the Healthy Nevada Project (HNP), we first evaluated whether population screening could efficiently identify carriers of these genetic conditions and, second, we evaluated the impact of genetic risk on health outcomes for these participants. We found a 1.33% combined carrier rate for pathogenic and likely pathogenic (P/LP) genetic variants for HBOC, LS and FH. Of these carriers, 21.9% of participants had clinically relevant disease, among whom 70% had been diagnosed with relevant disease before age 65. Moreover, 90% of the risk carriers had not been previously identified, and less than 19.8% of these had documentation in their medical records of inherited genetic disease risk, including family history. In a direct follow-up survey with all carriers, only 25.2% of individuals reported a family history of relevant disease. Our experience with the HNP suggests that genetic screening in patients could identify at-risk carriers, who would not be otherwise identified in routine care. Screening for a set of autosomal-dominant genetic conditions in a large, unselected cohort of individuals uncovers carriers who were missed by routine medical care, demonstrating the utility of broad genetic screening.
Genetic and clinical characteristics in Japanese hereditary breast and ovarian cancer: first report after establishment of HBOC registration system in Japan
The hereditary breast and ovarian cancer (HBOC) registration system of Japan was established by the Japanese HBOC Consortium. The first trial was registered in 2015 in four institutions to which some registration committee members belonged. We analyzed the information of 830 Japanese pedigrees, who underwent BRCA1/2 genetic testing, including mutation carriers with BRCA1 (N = 127) and BRCA2 (N = 115), and their families. The mutation-positive rate was 19.7%. Variants of uncertain significance were found in 6.5% of all individuals subjected to genetic testing for BRCA1/2. Compared to the United States, Japan had a higher mutation-positive rate in most categories, except for the groups with male breast cancer. Among the intrinsic subtypes of BRCA1-associated breast cancers, 75.8% were triple-negative. The incidence rate of contralateral breast cancer in BRCA1/2 mutation carriers was 0.99%/year. Among 240 mutation carriers, 26 and 62 patients underwent risk-reducing mastectomy (RRM) and risk-reducing salpingo-oophorectomy (RRSO), respectively; the respective frequencies of occult cancer were 7.1 and 3.2%. Metachronous breast cancer after RRM or peritoneal cancer after RRSO was not observed during the follow-up period. The nationwide registration system began last year and the system enables follow-up analysis in Japan.
TRUST: Trial of Radical Upfront Surgical Therapy in advanced ovarian cancer (ENGOT ov33/AGO‐OVAR OP7)
BackgroundPrimary cytoreductive surgery followed by chemotherapy has been considered standard management for patients with advanced ovarian cancer over decades. An alternative approach of interval debulking surgery following neoadjuvant chemotherapy was subsequently reported by two randomized phase III trials (EORTC‐GCG, CHORUS), which were criticized owing to important limitations, especially regarding the rate of complete resection.Primary ObjectiveTo clarify the optimal timing of surgical therapy in advanced ovarian cancer.Study HypothesisPrimary cytoreductive surgery is superior to interval cytoreductive surgery following neoadjuvant chemotherapy for overall survival in patients with advanced ovarian cancer.Trial DesignTRUST is an international open, randomized, controlled multi-center trial investigating overall survival after primary cytoreductive surgery versus neoadjuvant chemotherapy and subsequent interval cytoreductive surgery in patients with FIGO stage IIIB–IVB ovarian, tubal, and peritoneal carcinoma. To guarantee adequate surgical quality, participating centers need to fulfill specific quality assurance criteria (eg, ≥50% complete resection rate in upfront surgery for FIGO IIIB–IVB patients, ≥36 debulking-surgeries/year) and agree to independent audits by TRUST quality committee delegates. Patients in the primary cytoreductive surgery arm undergo surgery followed by 6 cycles of platinum-based chemotherapy, whereas patients in the interval cytoreductive surgery arm undergo 3 cycles of neoadjuvant chemotherapy after histologic confirmation of the disease, followed by interval cytoreductive surgery and subsequently, 3 cycles of platinum-based chemotherapy. The intention of surgery for both groups is complete tumor resection according to guideline recommendations.Major Inclusion/Exclusion CriteriaMajor inclusion criteria are suspected or histologically confirmed, newly diagnosed invasive epithelial ovarian cancer, fallopian tube carcinoma, or primary peritoneal carcinoma FIGO stage IIIB–IVB (IV only if resectable metastasis). Major exclusion criteria are non-epithelial ovarian malignancies and borderline tumors; prior chemotherapy for ovarian cancer; or abdominal/pelvic radiotherapy.Primary EndpointOverall survival.Sample Size772 patients.Estimated Dates for Completing Accrual and Presenting ResultsAccrual completion approximately mid-2019, results are expected after 5 years' follow-up in 2024.Trial Registration NCT02828618.
Landscape of pathogenic variations in a panel of 34 genes and cancer risk estimation from 5131 HBOC families
Integration of gene panels in the diagnosis of hereditary breast and ovarian cancer (HBOC) requires a careful evaluation of the risk associated with pathogenic or likely pathogenic variants (PVs) detected in each gene. Here we analyzed 34 genes in 5131 suspected HBOC index cases by next-generation sequencing. Using the Exome Aggregation Consortium data sets plus 571 individuals from the French Exome Project, we simulated the probability that an individual from the Exome Aggregation Consortium carries a PV and compared it to the estimated frequency within the HBOC population. Odds ratio conferred by PVs within BRCA1, BRCA2, PALB2, RAD51C, RAD51D, ATM, BRIP1, CHEK2, and MSH6 were estimated at 13.22 [10.01–17.22], 8.61 [6.78–10.82], 8.22 [4.91–13.05], 4.54 [2.55–7.48], 5.23 [1.46–13.17], 3.20 [2.14–4.53], 2.49 [1.42–3.97], 1.67 [1.18–2.27], and 2.50 [1.12–4.67], respectively. PVs within RAD51C, RAD51D, and BRIP1 were associated with ovarian cancer family history (OR = 11.36 [5.78–19.59], 12.44 [2.94–33.30] and 3.82 [1.66–7.11]). PALB2 PVs were associated with bilateral breast cancer (OR = 16.17 [5.48–34.10]) and BARD1 PVs with triple-negative breast cancer (OR = 11.27 [3.37–25.01]). Burden tests performed in both patients and the French Exome Project population confirmed the association of PVs of BRCA1, BRCA2, PALB2, and RAD51C with HBOC. Our results validate the integration of PALB2, RAD51C, and RAD51D in the diagnosis of HBOC and suggest that the other genes are involved in an oligogenic determinism.
Mucinous Ovarian Carcinoma: Integrating Molecular Stratification into Surgical and Therapeutic Management
Background/Objectives: Mucinous ovarian carcinoma (MOC) is a rare and biologically distinct subtype of epithelial ovarian cancer, typically presenting at an early stage in younger women. Unlike high-grade serous carcinoma, MOC is characterized by unique molecular features—including frequent KRAS mutations and HER2 amplifications—and exhibits limited sensitivity to platinum-based chemotherapy. These differences highlight the need for individualized treatment strategies guided by molecular and histological profiling. This review aims to integrate current evidence on the clinical management of MOC with emerging insights into its molecular biology, with a focus on how these factors influence surgical decision-making, fertility preservation, and adjuvant therapy selection. Methods: We performed a comprehensive narrative review of the literature, synthesizing findings from retrospective cohorts, molecular studies, and clinical guidelines relevant to the surgical, reproductive, and therapeutic management of MOC. Results: Histologic subtype—expansile versus infiltrative—plays a critical role in guiding lymphadenectomy as lymph node metastases are rare (<1%) in expansile tumors but occur in up to 23% of infiltrative cases. Complete surgical staging remains essential for accurate prognostication, yet tailored approaches may reduce overtreatment in low-risk patients. Fertility-sparing surgery (FSS) appears safe in FIGO stage IA expansile MOC, with favorable reproductive outcomes, while higher-stage or infiltrative cases warrant caution. Given MOC’s chemoresistance, the role of adjuvant therapy in early-stage disease remains debated. Targeted strategies, including MEK inhibitors and HER2-directed therapies, are under investigation and may benefit selected molecular subgroups. Conclusions: MOC requires a nuanced, biomarker-informed approach. This review advocates for personalized, evidence-based management supported by multidisciplinary evaluation while underscoring the urgent need for prospective studies and biomarker-driven clinical trials.
Global status and attributable risk factors of breast, cervical, ovarian, and uterine cancers from 1990 to 2021
Background Female-specific cancers, particularly breast, cervical, ovarian, and uterine cancers, account for nearly 40% of all cancers in women. This study aimed to analyze the global epidemiological trends of these cancers from 1990 to 2021, offering insights into their evolving patterns and providing valuable information for health policymakers to allocate healthcare resources more effectively. Methods Data from the Global Burden of Disease Study 2021 (GBD 2021) were used to comprehensively assess the global incidence, mortality, and disability-adjusted life years (DALYs) of female-specific cancers. Age-standardized rates facilitated cross-regional comparisons, accounting for differences in population size and demographics. The socio-demographic index (SDI) was employed to categorize regions and evaluate correlations between cancer burden and economic level. In addition, risk factors attributable to female-specific cancer deaths and DALYs were assessed based on the comparative risk assessment model of the GBD project. Results From 1990 to 2021, the global burden of female-specific cancers increased at varying rates. In 2021, breast cancer accounted for 2.08 million incident cases, 0.66 million deaths, and 20.25 million DALYs globally. In comparison, cervical, ovarian, and uterine cancers had lower burdens, with 0.67 million, 0.30 million, and 0.47 million incident cases, respectively. Age-standardized rates of breast, ovarian, and uterine cancers showed positive correlations with SDI, while cervical cancer exhibited a negative correlation. Attributable risk factors for breast cancer-associated deaths in 2021 included dietary risks, high body-mass index (BMI), high fasting plasma glucose, alcohol use, tobacco use, and low physical activity. Additional risk factors were unsafe sex and tobacco use for cervical cancer, high BMI and occupational risks for ovarian cancer, and high BMI for uterine cancer. Conclusions The burden of female-specific cancers has increased in recent decades, with significant demographic and regional discrepancies. These findings highlight the urgent need for targeted public health interventions to mitigate the global impact of these cancers.