Skip to main navigation Skip to search Skip to main content

Predictors of distant metastatic recurrence in head and neck cutaneous squamous cell carcinoma with lymph node metastases treated with curative intent: A multicenter study

  • Ardalan Ebrahimi*
  • , Ruta Gupta
  • , Lachlan McDowell
  • , Matthew J.R. Magarey
  • , Paul N. Smith
  • , Klaus-Martin Schulte
  • , Diana M. Perriman
  • , Michael Veness
  • , Sandro Porceddu
  • , Tsu Hui Hubert Low
  • , Allan Fowler
  • , Jonathan R. Clark
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

Background: We aimed to identify predictors of distant metastatic recurrence (DMR) in patients with head and neck cutaneous squamous cell carcinoma (HNcSCC) with nodal metastases treated with curative intent. 

Methods: Predictors of DMR were identified using Cox regression in a multicenter study of 1151 patients. 

Results: The 5-year risk of DMR was 9.6%. On multivariate analysis, immunosuppression (HR 2.93; 95% CI: 1.70–5.05; p < 0.001), nodal size >6 cm [versus ≤3 cm (HR 2.77; 95% CI: 1.09–7.03; p = 0.032)], ≥5 nodal metastases [versus 1–2 (HR 2.79; 95% CI: 1.63–4.78; p < 0.001)], and bilateral disease (HR 3.11; 95% CI: 1.40–6.90; p = 0.005) predicted DMR. A DMR risk score was developed that stratified risk from 6.6% (no risk factors) to 100% (≥3 risk factors) (p < 0.001). 

Conclusions: The risk of DMR in nodal metastatic HNcSCC increases with immunosuppression, nodal size >6 cm, ≥5 nodal metastases, and bilateral disease. A simple DMR risk score estimated prior to treatment may be clinically useful.

Original languageEnglish
Pages (from-to)254-262
Number of pages9
JournalHead and Neck
Volume47
Issue number1
Early online date9 Aug 2024
DOIs
Publication statusPublished - Jan 2025

Fingerprint

Dive into the research topics of 'Predictors of distant metastatic recurrence in head and neck cutaneous squamous cell carcinoma with lymph node metastases treated with curative intent: A multicenter study'. Together they form a unique fingerprint.

Cite this