Inguino-femoral radiotherapy in vulvar squamous cell carcinoma: clues to revised indications in patients with only one intracapsular lymph node metastasis.
Emilie SerreEmilie RaimondCaroline DiguistoSofiane BendifallahGilles BodyCyril TouboulOlivier GraesslinXavier CarcopinoEmile DaraïOuldamer Lobnanull nullPublished in: Acta oncologica (Stockholm, Sweden) (2019)
Background and objectives: The aim was to review the clinical impact of groin metastatic nodal disease in women with vulvar squamous cell carcinoma (VSCC) and to evaluate the impact of adjuvant radiotherapy on women with single intracapsular lymph node metastasis (SILNM).Methods: Cohort study of women with vulvar squamous cell carcinoma (VSCC) managed between January 2005 and December 2015 in five institutions in France with prospectively maintained databases (French multicentre tertiary care centres). We evaluated Impact of SILNM on outcome.Results: A total of 176 women (34.6%) had at least one positive lymph node (LN). There were no significant differences for the 5-year overall survival rates between women with one extracapsular LN metastasis and women with one intracapsular LN metastasis, or with two node metastases (p = .62, p = .63 respectively). In women with a SILNM: (1) lymphovascular invasion (LVSI) was an independent negative predictive factor recurrence-free survival (RFS) (HR = 0.10 (95%CI, 0.01-0.90), p = .04) and (2) Adjuvant inguino-femoral radiotherapy was a positive independent factor associated with RFS (HR = 5.87 (95%CI 1.21-28.5), p = .02).Conclusion: A potential positive effect of adjuvant radiotherapy in node positive VSCC, irrespective of the number of affected LN, should be considered especially in the case of LVSI.
Keyphrases
- lymph node metastasis
- squamous cell carcinoma
- early stage
- locally advanced
- lymph node
- free survival
- sentinel lymph node
- neoadjuvant chemotherapy
- papillary thyroid
- tertiary care
- radiation therapy
- radiation induced
- small cell lung cancer
- clinical trial
- cross sectional
- polycystic ovary syndrome
- pregnant women
- metabolic syndrome
- type diabetes
- cell migration
- machine learning
- adipose tissue
- risk assessment
- big data