Genomics and Cellular Mechanisms in Ovarian Cancer
A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Tissues and Organs".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 22
Special Issue Editor
Special Issue Information
Dear Colleagues,
Ovarian cancer is one of the most lethal gynecologic malignancies, primarily due to its asymptomatic nature, late-stage diagnosis, and high rate of resistance to standard treatments such as platinum-based chemotherapy and PARP inhibitors. Despite advances in clinical management, long-term survival remains limited for many patients. However, the rapid development of high-throughput sequencing, single-cell technologies, and spatial transcriptomics has dramatically advanced our understanding of the molecular and cellular complexity of ovarian tumors. These technologies have uncovered critical oncogenic alterations—including mutations in TP53, BRCA1/2, and epigenetic regulators—as well as transcriptional programs associated with stemness, immune evasion, and metastasis. Moreover, growing evidence highlights the tumor microenvironment, including stromal and immune components, as a key driver of progression and treatment response.
This Special Issue invites original research and comprehensive reviews focused on the genomic and cellular mechanisms underlying ovarian cancer pathogenesis, therapeutic resistance, and clinical heterogeneity. We especially welcome studies that integrate multi-omics data, apply innovative experimental models, or identify new molecular targets with translational relevance. Topics of interest include genomic and epigenomic profiling, RNA modifications, single-cell and spatial analyses, tumor–immune interactions, and the functional validation of therapeutic strategies. Collectively, these contributions aim at promoting precision oncology and improving outcomes for patients with ovarian cancer.
Dr. Hao Huang
Guest Editor
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Keywords
- ovarian cancer
- tumor heterogeneity
- genomics and epigenomics
- therapy resistance
- tumor microenvironment
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