MedPath

Multicentric Retrospective Review of Extracapsular Lymph Node Involvement After Esophagectomy

Conditions
Cancer
Registration Number
NCT01837173
Lead Sponsor
University Hospital, Gasthuisberg
Brief Summary

It is well known that lymph node metastasis is one of the most important prognostic factors in oesophageal carcinoma.

The investigators want to determine the influence of lymph node characteristics, being either intracapsular or extracapsular, on overall survival after esophagectomy for esophageal cancer.

Detailed Description

The classification of carcinoma of the esophagus has undergone a major modification between the UICC sixth (TNM-6) and TNM-7 edition. Regional lymph nodes (N) are now subdivided by the number of involved lymph nodes (pN0, 0; pN1, 1-2; pN2, 3-6; pN3 \> 6), and distant metastasis (M) has been simplified to M1 rather than subdivided by location \[1\].

Nevertheless, TNM-7 doesn't take into consideration the morphologic characteristics of the metastatic lymph node itself. Since our first publications showing a negative relationship between presence of extracapsular lymph node involvement (EC-LNI) and survival \[2\], little has been published about the prognostic impact of this specific characteristic .

In our latest publication "Can extracapsular lymph node involvement be a tool to fine-tune pN1 for adenocarcinoma in UICC TNM 7th Edition?" \[3\], the investigators found a significant survival benefit for adenocarcinoma without extracapsular lymph node involvement in pN1 (= 1-2 positive lymph nodes) as compared to N2-N3 disease, treated by primary surgery. Moreover, pN1 patients with extracapsular lymph node involvement (EC-LNI) showed a survival that was comparable to patients with more than 2 positive lymph nodes (i.e. stage IIIB). These findings may have important consequences for future TNM adaptations.

The aim of this study is to validate our results on a larger, multicentric cohort, and if possible make recommendations and possible fine-tuning for a future TNM adaptation, including the characteristics of the metastatic lymph node itself, being intra- or extracapsular.

Furthermore the investigators want to examine if these effects are valid in pre-treated patients, i.e. surgery after neoadjuvant chemo(radiation) therapy. Although these patients are not incorporated in the current TNM classification, future adaptations to the TNM classification system will also examine the effects of neoadjuvant therapy (cfr. Rice/Blackstone WECC -Worldwide Esophageal Cancer Collaboration).

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
2000
Inclusion Criteria
  • Adequate lymph node sampling is of paramount importance. (pT1 - min. 10 LN; >pT2 min. 20 LN resected). At least the following lymph node stations should be examined: perioesophageal distal 1/3 and perigastric LN, left gastric artery, splenic artery, common hepatic artery, subcarinal lymph nodes. Sugical technique (transthoracic, transhiatal or minimal invasive) is less important if the criterium of adequate lymph node sampling is fulfilled but should be mentioned.
Exclusion Criteria
  • unforeseen organ metastasis
  • subcardia tumors
  • histology other than adenocarcinoma or squamous cell carcinoma
  • Postoperative (inhospital or 30-day) mortality

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Overall survival by LN-status (being ECLNI or ICLNI)5 yrs from surgery

according UICC TNM7 pN (pN1-2-3)

Cancer-specific survival by LN-status (being ECLNI or ICLNI)5 yrs from surgery

according UICC TNM7 pN (pN1-2-3)- censoring non-esophageal cancer related deaths

Secondary Outcome Measures
NameTimeMethod
Cancer specific survival for intra- and extracapsular lymph node involvement5 yrs from surgery

Differentiation of intra- and extracapsular lymph node involvement after neoadjuvant chemo(radio)therapy followed by surgery versus primary surgery

Trial Locations

Locations (1)

University Hospital Leuven, Gasthuisberg

🇧🇪

Leuven, Belgium

University Hospital Leuven, Gasthuisberg
🇧🇪Leuven, Belgium

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.