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Search Results (71)
  • Open Access

    ARTICLE

    Targeting Oncogenic lncRNA KRT7-AS to Induce Ferroptosis Suppresses Ovarian Cancer Progression

    Yan Zhu1,#, Bin Guan1,#, Wencai Guan1, Jihong Zhang1, Shiyu Wang1, Jimin Shi1, Wei Fan1, Qi Lu2,3, Lingyun Zhang4,5,*, Guoxiong Xu1,2,*

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.075241 - 22 April 2026

    Abstract Background: Ovarian cancer poses the greatest threat to survival among gynecologic cancers in women. Long non-coding RNAs (lncRNAs) have emerged as critical regulators in oncogenesis. The current study aimed to elucidate the function and regulatory mechanism of lncRNA KRT7-AS in ovarian cancer. Methods: The clinical significance of KRT7-AS was evaluated through bioinformatics analysis of data from public repositories. KRT7-AS expression was examined by RT-qPCR and fluorescence in situ hybridization. The function analyses were conducted using assays for cell proliferation, migration, invasion, wound healing, and colony formation. Assessment of cell cycle and apoptosis was performed using flow… More >

  • Open Access

    REVIEW

    Primary Debulking Surgery Versus Neoadjuvant Chemotherapy in Advanced Ovarian Cancer: A Meta-Analysis of All Randomized Clinical Trials with Subgroup Analysis by Patient Profile

    Carlo Ronsini1,*, Giuseppe Cucinella1, Maria Cristina Solazzo1, Mariano Catello Di Donna1, Cono Scaffa1, Stefano Cianci2, Manuela Ludovisi3, Sandro Pignata4, Vito Chiantera1

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074934 - 22 April 2026

    Abstract Background: The optimal sequencing of surgery and chemotherapy in advanced epithelial ovarian cancer remains debated. While primary debulking surgery (PDS) has been considered the standard approach, recent randomized trials have questioned its survival advantage over neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS). The study aimed to systematically evaluate phase III randomized controlled trials comparing PDS and NACT. Methods: Following PRISMA guidelines (PROSPERO ID 1169057), PubMed and Scopus were systematically searched in October 2025 for phase III randomized clinical trials evaluating cytoreductive strategies in ovarian carcinoma. Only full-text English studies reporting overall survival (OS)… More >

  • Open Access

    ARTICLE

    A Novel Partial EMT-Associated Transcriptomic Signature for Prognostic Stratification in Ovarian Cancer

    Chia-Chia Chao1, Cheng-Yao Lin2,3,4, Po-Chun Chen5,6,7, Wen-Tsung Huang2, Teng-Song Weng8, Sheng-Yen Hsiao2,9,*

    Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074383 - 22 April 2026

    Abstract Background: Partial epithelial–mesenchymal transition (p-EMT) is a dynamic cellular state associated with metastasis and adverse outcomes in multiple cancers, but its prognostic significance in ovarian cancer remains unclear. This study aimed to develop and validate an ovarian cancer–specific transcriptomic signature based on p-EMT–related genes, and to determine whether this signature can improve prognostic stratification and overall survival prediction across independent cohorts. Methods: A pan-cancer p-EMT gene set was curated from ten published studies. Using transcriptomic and clinical data from TCGA-OV (n = 488), a six-gene p-EMT signature was developed via LASSO regression to generate a… More >

  • Open Access

    REVIEW

    The Therapeutic Potential of iNKT Cells in the Treatment of Ovarian Cancer

    Anna PawłOwska-ŁAchut*, Dorota Suszczyk, Iwona Wertel

    BIOCELL, Vol.50, No.4, 2026, DOI:10.32604/biocell.2025.072104 - 21 April 2026

    Abstract Ovarian cancer (OC) remains the most lethal gynecological malignancy, and it is characterized by high heterogeneity, early metastatic dissemination, and frequent recurrence within 12–18 months after primary therapy. Despite progress in clinical management and drug development, the mortality rate remains high, and the biological drivers of OC aggressiveness are not fully understood. A major contributor to therapeutic resistance and disease progression is the ovarian tumor microenvironment (TME), which supports tumor growth and immune evasion. Its complexity poses significant challenges to the development of effective therapies. Current treatments, especially in advanced or recurrent stages, have limited… More >

  • Open Access

    ARTICLE

    Explainable Ensemble Learning Approach for Ovarian Cancer Diagnosis Using Clinical Data

    Daniyal Asif1,*, Nabil Kerdid2, Muhammad Shoaib Arif3, Mairaj Bibi4

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.077334 - 30 March 2026

    Abstract Ovarian cancer (OC) is one of the leading causes of death related to gynecological cancer, with the main difficulty of its early diagnosis and a heterogeneous nature of tumor biomarkers. Machine learning (ML) has the potential to process complex datasets and support decision-making in OC diagnosis. Nevertheless, traditional ML models tend to be biased, overfitting, noisy, and less generalized. Moreover, their black-box nature reduces interpretability and limits their practical clinical applicability. In this study, we introduce an explainable ensemble learning (EL) model, TreeX-Stack, based on a stacking architecture that employs tree-based learners such as Decision… More >

  • Open Access

    ARTICLE

    Clinical and Functional Characterization of PDE1A as a Wnt/β-Catenin-Linked Biomarker of Progression and Platinum Resistance in Epithelial Ovarian Cancer

    Gwan Hee Han1,2,#, Hee Yun3,#, Joon-Yong Chung4, Jae-Hoon Kim3,5,6, Hanbyoul Cho3,5,6,*

    Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.072105 - 24 February 2026

    Abstract Objectives: Phosphodiesterase 1A (PDE1A) regulates intracellular cyclic nucleotide signaling and has been implicated in tumor progression, but its clinical relevance and functional role in epithelial ovarian cancer (EOC), particularly in relation to the response to platinum remain unclear. This study aimed to evaluate the clinical significance of PDE1A in EOG and to clarify its functional role in tumor progression and response to platinum-based chemotherapy. Methods: PDE1A mRNA and protein levels were analyzed using public databases, RNA sequencing, and immunohistochemistry. Correlations between PDE1A expression, clinicopathological features, and prognosis were assessed. Functional roles were investigated in ovarian… More >

  • Open Access

    RETRACTION

    Retraction: Truncated Bid Overexpression Induced by Recombinant Adenovirus Cre/LoxP System Suppresses the Tumorigenic Potential of CD133+ Ovarian Cancer Stem Cells

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.077268 - 30 December 2025

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    miR-512-3p/RPS6KA2 Axis Regulates Cisplatin Resistance in Ovarian Cancer via Autophagy and Ferroptosis

    Jianfa Wu1,2,3, Huang Chen3, Sihong Wang1,2, Lei Peng1,2, Xiaoying Hu1,2, Zhou Liu1,2,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070542 - 30 December 2025

    Abstract Objectives: Ribosomal protein S6 kinase A2 (RPS6KA2) has been identified as a potential prognostic biomarker in several cancers, including breast cancer, glioblastoma, and prostate cancer. However, its functional significance in ovarian cancer is not well characterized. This study was designed to explore the therapeutic relevance of modulating RPS6KA2 in the context of ovarian cancer, particularly in relation to cisplatin resistance. Methods: The expression levels of RPS6KA2 and key regulators involved in autophagy and ferroptosis were assessed using quantitative reverse transcription-PCR, immunofluorescence staining, immunohistochemistry, and western blotting. Prognostic associations were conducted using the Kaplan-Meier Plotter database.… More >

  • Open Access

    ARTICLE

    HE4 Might Participate in Extracellular Matrix Remodeling in Ovarian Cancer via Activation of Fibroblasts

    Yimin Liu1,#, Bin Liu2,3,4,#, Huabin Gao1, Jinlong Wang5, Jingya Duan1, Xiaolan Huang1, Yuexi Liu1, Ying Huang1, Wenjing Liao1, Ruonan Li1,*, Hua Linghu1,*

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.069007 - 30 December 2025

    Abstract Objectives: High-grade serous ovarian cancer (HGSOC), the most common subtype of epithelial ovarian cancer (EOC), exhibits a mesenchymal phenotype characterized by fibrotic stroma and poor prognosis. Human epididymis protein 4 (HE4), a key diagnostic biomarker for ovarian cancer, is involved in fibrotic processes in several non-malignant diseases. Given the clinical significance of stromal fibrosis in HGSOC and the potential link between HE4 and fibrosis, this study aimed to investigate the role of HE4 in the formation of stromal fibrosis in HGSOC. Methods: A total of 126 patients with gynecological conditions were included and divided into… More > Graphic Abstract

    HE4 Might Participate in Extracellular Matrix Remodeling in Ovarian Cancer via Activation of Fibroblasts

  • Open Access

    REVIEW

    Molecular Pathology of Ovarian Endometrioid Carcinoma: A Review

    Hiroshi Yoshida1,*, Mayumi Kobayashi Kato2

    Oncology Research, Vol.33, No.12, pp. 3701-3730, 2025, DOI:10.32604/or.2025.068432 - 27 November 2025

    Abstract Ovarian endometrioid carcinoma (OEC) accounts for ~10% of epithelial ovarian cancers and displays broad morphologic diversity that complicates diagnosis and grading. Recent data show that the endometrial cancer molecular taxonomy (DNA polymerase epsilon, catalytic subunit [POLE]-ultramutated, mismatch repair-deficient [MMRd], p53-abnormal, no specific molecular profile [NSMP]) also applies to OEC, and that OEC is enriched for Lynch syndrome–associated tumors, supporting routine MMR testing. We aimed to synthesize contemporary evidence spanning epidemiology, histopathology and immunophenotype, diagnostic pitfalls and differential diagnosis, and to evaluate the clinical utility of The Cancer Genome Atlas (TCGA)-surrogate molecular classification for risk stratification; More >

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