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March 6, 2026Clinical Cancer Research0 citations

Non-metastatic para-aortic lymph node remodeling as a predictor of outcome in locally advanced cervical cancer

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LBLouis BaudinLZLéa ZanellaALAlizée Lebeau

Key Points

  • Evaluate the prognostic value of non-metastatic para-aortic lymph node characteristics in locally advanced cervical cancer.
  • Stratified 137 patients by 18F-FDG PET/CT into pelvic PET-positive and negative groups.
  • Performed immunohistochemistry to assess various immune cell populations in lymph nodes.
  • Examined associations with progression-free survival using univariate and multivariate analyses after a median follow-up of 55.4 months.
  • Primary tumor characteristics did not predict outcomes; PAoLN features were strongly predictive.
  • In pelvic PET-negative patients, higher neutrophil extracellular traps (NETs) correlated with shorter progression-free survival.
  • In pelvic PET-positive patients, higher FOXP3+ cells indicated worse progression-free survival.
  • Across the entire cohort, more germinal centers and a higher CD4/CD8 ratio associated with lower recurrence risk.

Abstract

Abstract Purpose: Treatment of Locally Advanced Cervical Cancer (LACC) is guided notably by the European Society of Gynaecological Oncology (ESGO) guidelines; unfortunately, relapse remains frequent despite standard chemoradiotherapy and brachytherapy. We evaluated whether histological assessment of non-metastatic para-aortic lymph node (PAoLN) provides prognostic value in LACC. Experimental design: Primary tumor and PAoLNs from 137 non-metastatic LACC patients were stratified by pre-therapeutic 18F-FDG PET/CT into pelvic PET-positive (pPET+, N= 72) and negative (pPET-, N= 65) groups. Immunohistochemistry on whole sections assessed germinal centers, CD4+, CD8+, FOXP3+ cells, neutrophils (CD66b+, neutrophil extracellular traps: NETs) and high-endothelial venules (HEVs). Associations with progression-free survival (PFS) were examined via univariate and multivariate analyses after a median follow-up of 55.4 months. Results: Primary tumor profile was not associated with outcome, whereas PAoLN features were strongly predictive. In pPET- patients, higher NETs were associated with shorter PFS (p=0.015; HR=2.768), while elevated CD4/CD8 ratio improved outcomes (p=0.047, HR=0.497). In pPET+ patients, shorter PFS was linked to FOXP3+ (p=0.04, HR=1.918) and proliferating FOXP3+ cells (p=0.018, HR=1.668) density. Across the full cohort, abundant germinal centers (p=0.0355, HR=0.273) and elevated CD4/CD8 ratio (p=0.001, HR=0.490) independently correlated with lower recurrence risk. Internal validation was conducted through a bootstrap resampling method. Combinatorial analyses revealed distinct predictive signatures according to pPET status: higher NETs, fewer germinal centers and FIGO-IIA1-IIIB status predicted relapse in pPET- patients. Conclusions: Integrating pPET status with PAoLN histological analyses improves recurrence risk stratification in LACC. PAoLN evaluation may serve as a complementary tool to guide treatment intensification and surveillance strategies.

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Cite This Study

Baudin et al. (2026) studied this question.

synapsesocial.com/papers/69aa70d6531e4c4a9ff5af5ahttps://doi.org/10.1158/1078-0432.ccr-25-3894
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