Related Experiment Video
Updated: Jun 4, 2026

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
Predictive Features Specific to FIGO IIIA1 Ovarian Cancer: What Drives Prognosis
Matteo Bruno1, Davide Arrigo2, Marco Paratore2
1Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.
Background:
FIGO stage IIIA1 ovarian cancer, defined by lymph node-only metastasis, represents a biologically distinct pattern of spread within epithelial ovarian cancer. Patients with IIIA1 disease experience more favorable outcomes than those with peritoneal dissemination; however, the prognostic determinants within this subgroup remain incompletely defined and underexplored.
Methods:
A narrative review was conducted by using concept‑based searches. Eligible reports included those specifically addressing stage IIIA1 or providing extractable node‑positive subsets within stage III cohorts. Given heterogeneity in surgical eras, lymphadenectomy practices, and histologic composition, no quantitative pooling was performed.
Results:
Nodal size and the IIIA1(i)/(ii) subdivision did not consistently correlate with survival. In contrast, nodal topography showed signals of prognostic relevance in selected cohorts. The lymph node ratio (LNR) emerged as the most robust determinant of outcome. Systematic pelvic and para‑aortic lymphadenectomy, typically involving retrieval of ≥10-20 nodes, was linked to improved staging accuracy and long‑term survival. Tumor microenvironment features provided additional prognostic stratification, while IIIA1‑specific molecular data remained limited.
Conclusions:
In FIGO IIIA1 ovarian cancer, nodal topography and burden represent the most reliable prognostic indicators. Systematic lymphadenectomy appears beneficial in appropriately selected patients, and tumor microenvironment features offer complementary risk stratification. Future studies should focus on genomically characterized IIIA1 cohorts to refine risk‑adapted surgical and maintenance strategies.
Related Concept Videos
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Cancer-Critical Genes II: Tumor Suppressor Genes
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer-Critical Genes II: Tumor Suppressor Genes
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer Survival Analysis