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Role of Imaging Techniques in Ovarian Cancer Diagnosis: Current Approaches and Future Directions

  • Alessandro D’Amario,
  • Roberta Ambrosini and
  • Alessandro Gullino
  • + 1 author

Background: Ovarian cancer is a leading gynecological malignancy with high global mortality. Early and accurate diagnosis is critical for optimal management; however, a considerable portion of ovarian masses remain indeterminate after initial evaluation. Although transvaginal ultrasound is the first-line imaging tool, up to 30% of cases yield inconclusive findings, complicating treatment decisions. Methods: This review summarizes current diagnostic strategies for ovarian masses, with an emphasis on advanced imaging and emerging technologies. Topics include the diagnostic utility of contrast-enhanced MRI, the application of the O-RADS MRI scoring system, and the integration of Artificial Intelligence (AI) into imaging workflows. Results: Contrast-enhanced MRI offers high diagnostic accuracy (83–93%) for characterizing indeterminate ovarian masses. The O-RADS MRI Score offers a reported sensitivity of 93% and specificity of 91% for malignancy risk assessment. Additionally, new classification systems have been proposed to further improve diagnostic performance. AI-based approaches, particularly machine learning and deep learning applied to imaging data, show potential in improving diagnostic precision; however, most techniques require further clinical validation before widespread adoption. Conclusions: Advanced imaging techniques and AI-driven methods are reshaping the diagnostic landscape of ovarian cancer. While current tools like MRI and O-RADS enhance accuracy, ongoing research into novel models and AI applications suggests further improvements are possible. Clinical validation and expert oversight remain essential for their integration into routine practice.

4 January 2026

Ultrasound demonstrates a unilocular cyst with a “ground-glass” appearance, consistent with an endometrioma (a), and a lesion containing intralesional fat, typical of a dermoid (b); both representing classic benign ovarian lesions: O-RADS US score 2 (Courtesy of Dr. Gilda Di Paolo).

Background: Suppressor of Cytokine Signalling 6 (SOCS6) is a cytokine signalling suppressor that regulates receptor tyrosine kinase pathways by promoting degradation of signalling proteins, thereby controlling cell growth and survival. One of these tyrosine kinase receptors, Erythropoietin Receptor (EPOR), plays a critical role in CRC progression by enhancing tumour metabolism, angiogenesis, proliferation, and growth. This study investigates the molecular mechanisms governing SOCS6’s role in CRC pathogenesis using in vitro cell models and examines its interaction with EPOR expression following gene knockdown. Methods: Bioinformatics interaction between SOCS6 and EPOR were investigated using molecular visualization. HT-29 and COLO 320DM colorectal cancer cells were transfected with SOCS6 siRNA followed by measurement of SOCS6 and EPOR expression levels by qRT-PCR. The selected knockdown concentration was used in functional assays assessing cell viability, colony formation, migration, apoptosis, and invasion. Results: Bioinformatic results showed interaction between SOCS6 and EPOR through polar bonds. Furthermore, SOCS6 silencing increased cell viability and colony formation in both cell lines and significantly enhanced migration in COLO 320DM cells. Active caspase-3 levels were elevated markedly in HT-29 cells post SOCS6 knockdown, consistent with caspase-3’s reported oncogenic role in CRC. Moreover, EPOR knockdown selectively altered SOCS6 expression in HT-29 cells, indicating a regulatory feedback loop. EPOR silencing elevated cell viability at 24 h in both cell lines but caused a significant decrease in COLO 320DM cells at 72 h. Conclusions: These findings identify the SOCS6–EPOR axis as a potential target for personalized CRC therapy, supporting SOCS6’s tumour-suppressive and diagnostic roles.

4 January 2026

  • Correction
  • Open Access

In the original publication [...]

4 January 2026

Background: Prostate cancer (PCa) is a prevalent malignancy with a rising incidence. Advanced PCa, often resistant to therapy, remains a major clinical challenge, underscoring the need to identify novel molecular drivers. Methods: Utilizing transcriptomic data from the TCGA and GEO databases, we identified APOBEC3C (A3C) as a key candidate through WGCNA, differential expression analysis, and LASSO regression. Its clinical relevance was assessed via Kaplan–Meier survival analysis. Then, we validated A3C expression patterns using immunohistochemistry and Western blot in normal and malignant prostate cell lines. The functional effects of A3C on proliferation, migration, and invasion and mechanisms of such were evaluated through in vitro gain- and loss-of-function assays (CCK-8, Ki67 staining, wound healing, Transwell, Western blot, etc.). Results:A3C was significantly downregulated in PCa, and this low expression strongly correlated with adverse clinicopathological features, including advanced T stage, higher Gleason scores, and worse survival. Bioinformatically, high A3C expression was associated with an activated anti-tumor immune microenvironment, characterized by enhanced CD8+ T cell infiltration, reduced M2 macrophage abundance, and upregulation of the immune checkpoint CD40. In vitro, A3C overexpression effectively suppressed PCa cell proliferation, migration, and invasion, while its knockdown promoted these malignant phenotypes. Mechanistically, A3C enhances the expression of the STING1 and its downstream related molecules Caspase-1, IL-18, and IL-1β; upregulates DNA damage-protective genes (GSTP1 and GPX3); and enhances the expression of cell cycle regulator GAS1. Conclusions: This study establishes A3C as a suppressor in PCa, which impedes tumor progression by regulating key molecules involved in cellular inflammation, cell cycle arrest, and DNA damage response.

3 January 2026

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Cancers - ISSN 2072-6694