Literature DB >> 23740149

A proposal for combination of total number and anatomical location of involved lymph nodes for nodal classification in non-small cell lung cancer.

Hisashi Saji1, Masahiro Tsuboi2, Yoshihisa Shimada2, Yasufumi Kato2, Koichi Yoshida2, Masaharu Nomura3, Jun Matsubayashi3, Toshitaka Nagao3, Masatoshi Kakihana2, Jitsuo Usuda2, Naohiro Kajiwara2, Tatsuo Ohira2, Norihiko Ikeda2.   

Abstract

BACKGROUND: We previously reported the prognostic impact of the number of involved lymph nodes (LNs) on survival in non-small cell lung cancer (NSCLC). However, it remains unknown whether the total number or anatomic location of involved LNs is a superior prognostic factor.
METHODS: A total of 689 patients with NSCLC who underwent complete resection involving dissection of the hilar and mediastinal LNs with curative intent of ≥ 10 LNs were enrolled. The association between the total number of LNs (nN) involved and survival was assessed by comparison with the anatomic location of LN involvement (pathologic lymph node [pN]), the present nodal category.
RESULTS: We classified the patients into five categories according to the combined pN and nN status as follows: pN0-nN0, pN1-nN1-3, pN1-nN4-, pN2-nN1-3, and pN2-nN4. Although there was no statistically significant difference between the pN1-nN4- and pN2-nN1-3 categories, pN2-nN1-3 had better prognoses than pN1-nN4-. On multivariate analysis, the nN category was an independent prognostic factor for overall survival and disease-free survival (vs nN4-; the hazard ratios of nN0 and nN1-3 for overall survival were 0.223 and 0.369, respectively, P < .0001 for all), similar to the pN category. We propose a new classification based on a combination of the pN and nN categories: namely, N0 becomes pN0-nN0, the N1 category becomes pN1-nN1-3, the N2a category becomes pN2-nN1-3 + pN1-nN4-, and the N2b category becomes pN2-nN4. Each survival curve was proportional and was well distributed among the curves.
CONCLUSIONS: A combined anatomically based pN stage classification and numerically based nN stage classification is a more accurate prognostic determinant in patients with NSCLC, especially in the prognostically heterogeneous pN1 and pN2 cases. Further large-scale international cohort validation analyses are warranted.

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Year:  2013        PMID: 23740149     DOI: 10.1378/chest.12-0750

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  22 in total

Review 1.  [The new TNM classification for lung tumors : Changes and the assessment of multiple tumor foci].

Authors:  A Harms; M Kriegsmann; L Fink; F Länger; A Warth
Journal:  Pathologe       Date:  2017-02       Impact factor: 1.011

2.  The "N"-factor in non-small cell lung cancer: staging system and institutional reports.

Authors:  Ottavio Rena
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

Review 3.  [Results of N1 and N2 surgery in non-small cell lung cancer].

Authors:  J Pfannschmidt; J Kollmeier
Journal:  Chirurg       Date:  2019-12       Impact factor: 0.955

4.  Prognostic significance of the pattern of pathological N1 lymph node metastases for non-small cell lung cancer.

Authors:  Sergej Griff; Samantha Taber; Torsten T Bauer; Joachim Pfannschmidt
Journal:  J Thorac Dis       Date:  2019-08       Impact factor: 2.895

5.  Five-year survival analysis and prognostic factors in patients operated on for non-small cell lung cancer with N2 disease.

Authors:  Mariusz Łochowski; Barbara Łochowska; Marek Rębowski; Daniel Brzeziński; Bartosz Cieślik-Wolski; Józef Kozak
Journal:  J Thorac Dis       Date:  2018-06       Impact factor: 2.895

6.  Predicting prognosis of post-chemotherapy patients with resected IIIA non-small cell lung cancer.

Authors:  Difan Zheng; Yiyang Wang; Yuan Li; Yihua Sun; Haiquan Chen
Journal:  J Thorac Dis       Date:  2018-07       Impact factor: 2.895

7.  Does anatomical location-based metastatic lymph node density affect prognosis in lung cancer patients?

Authors:  Yunus Aksoy; Necati Çıtak; Çiğdem Obuz; Muzaffer Metin; Adnan Sayar
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-10-04

8.  Lymph node volume predicts survival but not nodal clearance in Stage IIIA-IIIB NSCLC.

Authors:  Vishesh Agrawal; Thibaud P Coroller; Ying Hou; Stephanie W Lee; John L Romano; Elizabeth H Baldini; Aileen B Chen; David Kozono; Scott J Swanson; Jon O Wee; Hugo J W L Aerts; Raymond H Mak
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

9.  Recommended changes for the 8th edition of the TNM classification for lung cancer-the findings of a single-institution evaluation.

Authors:  Jia Wang; Nan Wu; Chao Lv; Shi Yan; Yue Yang
Journal:  Ann Transl Med       Date:  2020-02

10.  Survival Prediction Model Using Clinico-Pathologic Characteristics for Nonsmall Cell Lung Cancer Patients After Curative Resection.

Authors:  Ching-Yang Wu; Jui-Ying Fu; Ching-Feng Wu; Ming-Ju Hsieh; Yun-Hen Liu; Yi-Cheng Wu; Cheng-Ta Yang; Ying-Huang Tsai
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.817

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