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Annals of Surgical Oncology

, Volume 25, Issue 5, pp 1262–1268 | Cite as

Survival Impact of Stations of Pathological Lymph Nodes in N2 Non-small Cell Lung Cancer in a French Hospital

  • Christelle Clément-Duchêne
  • Amandine Luc
  • Jean-Matthieu Casse
  • Jean-Michel Vignaud
  • Stéphanie Lacomme
  • Valentine Anne
  • Joëlle Siat
  • Olivier Ménard
  • Yves Martinet
Thoracic Oncology
  • 88 Downloads

Abstract

Background

The prognosis of lung cancer remains poor; only 20% of patients can undergo surgery. N2 non-small cell lung cancer (NSCLC) is a heterogeneous disease. We conducted a retrospective study to analyze the impact of N2 location on survival.

Methods

This study included 342 NSCLC with N2 involvement between 1988 and 2014. Patient-related data were collected through the CRB biobank and included demographic, therapeutic, and survival data. Survival was analyzed according to Kaplan-Maier method. Cox’s regression analysis and analysis of variance (ANOVA) were used to determine factors significantly associated with survival.

Results

The population average age was 61.6 years; 82.2% were men, a majority were former smokers (87.1%), and 45.3% had adenocarcinoma. The main prognostic factors were male gender (p = 0.01), number of nodes (p < 0.0001), and tumor size (p < 0.0001). N2 disease had a poor survival (16 months) compared with N0 (32 months) and N1 (21.1 months) disease (p < 0.0001). The patients with involvement of station 4 (survival = 17.8 months) seemed to have a prognosis between those with station 7 (survival = 10.5 months) and N1 (survival = 22.6 months), p = 0.0005.

Conclusions

N2 location has a prognostic impact in surgically NSCLC, and station 4 involvement has a better prognostic than station 7.

Notes

Disclosure

No conflict of interest, and no commercial interest.

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Copyright information

© Society of Surgical Oncology 2018

Authors and Affiliations

  • Christelle Clément-Duchêne
    • 1
    • 2
  • Amandine Luc
    • 3
  • Jean-Matthieu Casse
    • 4
  • Jean-Michel Vignaud
    • 4
  • Stéphanie Lacomme
    • 4
  • Valentine Anne
    • 5
  • Joëlle Siat
    • 6
  • Olivier Ménard
    • 7
  • Yves Martinet
    • 7
  1. 1.Oncology DepartmentInstitut de Cancérologie de LorraineNancyFrance
  2. 2.Centre de Recherche en Automatique de Nancy (CRAN)NancyFrance
  3. 3.Unité de Méthodologie, Data-management et StatistiqueUniversity HospitalNancyFrance
  4. 4.Pathology DepartmentUniversity HospitalNancyFrance
  5. 5.Surgery DepartmentHP MetzMetzFrance
  6. 6.Surgery DepartmentUniversity HospitalNancyFrance
  7. 7.Chest DepartmentUniversity HospitalNancyFrance

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