Literature DB >> 28539542

Clinicopathological Characteristics of Lung Adenocarcinoma with Unexpected Lymph Node Metastasis.

Tomohiro Haruki1, Makoto Wakahara1, Yuki Matsuoka1, Ken Miwa1, Kunio Araki1, Yuji Taniguchi1, Hiroshige Nakamura1.   

Abstract

PURPOSE: The objective is to demonstrate the clinicopathological characteristics of patients with unexpected node-positive lung adenocarcinoma and to analyze predictive factors of unexpected disease.
METHODS: We reviewed 225 patients with lung adenocarcinoma who underwent curative-intent operation between January 2008 and December 2014. Unexpected node-positive diseases were defined as cases with hilar or mediastinal lymph nodes metastasis in spite of both negative significant enlargement of lymph nodes on preoperative chest computed tomography (CT) and negative fluorodeoxyglucose (FDG) uptake in lymph nodes on preoperative positron emission tomography (PET)/CT. We retrospectively analyzed clinical features of these patients and evaluated associated factors for unexpected diseases.
RESULTS: There were 41 patients (18%) with unexpected node-positive disease, consisting of 16 (39%) unexpected pN1 and 25 (61%) unexpected pN2 diseases. The most common predominant subtype was papillary (22 patients; 54%), and 17 patients (41%) had micropapillary component in the tumors. Younger age (p <0.01), left side (p <0.01), larger tumor size (p <0.01), and having a micropapillary component (p <0.01) were significant associated factors of unexpected diseases in multivariate analysis.
CONCLUSION: Histological findings of the primary tumor are often important because they can provide predictive information for lymph nodes status. Having a micropapillary component was one of the significant predictors of unexpected node-positive diseases.

Entities:  

Keywords:  lung adenocarcinoma; micropapillary component; unexpected lymph node metastasis

Mesh:

Year:  2017        PMID: 28539542      PMCID: PMC5569252          DOI: 10.5761/atcs.oa.16-00309

Source DB:  PubMed          Journal:  Ann Thorac Cardiovasc Surg        ISSN: 1341-1098            Impact factor:   1.520


  21 in total

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2.  An accurate and rapid detection of lymph node metastasis in non-small cell lung cancer patients based on one-step nucleic acid amplification assay.

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Journal:  Lung Cancer       Date:  2012-09-29       Impact factor: 5.705

3.  N stage disease in patients with non-small cell lung cancer: efficacy of quantitative and qualitative assessment with STIR turbo spin-echo imaging, diffusion-weighted MR imaging, and fluorodeoxyglucose PET/CT.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Takeshi Yoshikawa; Mizuho Nishio; Nobukazu Aoyama; Yumiko Onishi; Daisuke Takenaka; Sumiaki Matsumoto; Yoshimasa Maniwa; Wataru Nishio; Yoshihiro Nishimura; Tomoo Itoh; Kazuro Sugimura
Journal:  Radiology       Date:  2011-09-16       Impact factor: 11.105

4.  Incidence of occult mediastinal node involvement in cN0 non-small-cell lung cancer patients after negative uptake of positron emission tomography/computer tomography scan.

Authors:  Abel Gómez-Caro; Samuel Garcia; Noemí Reguart; Pedro Arguis; Marcelo Sanchez; Josep M Gimferrer; Ramon Marrades; Francisco Lomeña
Journal:  Eur J Cardiothorac Surg       Date:  2010-01-29       Impact factor: 4.191

5.  False-negative rate after positron emission tomography/computer tomography scan for mediastinal staging in cI stage non-small-cell lung cancer.

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Journal:  Eur J Cardiothorac Surg       Date:  2012-01-20       Impact factor: 4.191

6.  Pitfalls in lymph node staging with positron emission tomography in non-small cell lung cancer patients.

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Review 7.  The role of PET scan in diagnosis, staging, and management of non-small cell lung cancer.

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8.  Micropapillary pattern and grade of stromal invasion in pT1 adenocarcinoma of the lung: usefulness as prognostic factors.

Authors:  Takehito Kawakami; Kazuki Nabeshima; Yoshifumi Makimoto; Makoto Hamasaki; Akinori Iwasaki; Takayuki Shirakusa; Hiroshi Iwasaki
Journal:  Mod Pathol       Date:  2007-03-02       Impact factor: 7.842

9.  Micropapillary pattern: a distinct pathological marker to subclassify tumours with a significantly poor prognosis within small peripheral lung adenocarcinoma (</=20 mm) with mixed bronchioloalveolar and invasive subtypes (Noguchi's type C tumours).

Authors:  Y Makimoto; K Nabeshima; H Iwasaki; T Miyoshi; S Enatsu; T Shiraishi; A Iwasaki; T Shirakusa; M Kikuchi
Journal:  Histopathology       Date:  2005-06       Impact factor: 5.087

10.  Diagnostic accuracy of (18)F-2-deoxy-fluoro-D-glucose positron emission tomography for pN2 lymph nodes in patients with lung cancer.

Authors:  Yoshiyuki Ozawa; Masaki Hara; Keita Sakurai; Motoo Nakagawa; Tsuneo Tamaki; Masami Nishio; Yuta Shibamoto
Journal:  Acta Radiol       Date:  2010-03       Impact factor: 1.990

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  3 in total

1.  Novel approach for predicting occult lymph node metastasis in peripheral clinical stage I lung adenocarcinoma.

Authors:  Cheng-Yang Song; Daisuke Kimura; Takehiro Sakai; Takao Tsushima; Ikuo Fukuda
Journal:  J Thorac Dis       Date:  2019-04       Impact factor: 2.895

2.  Multivariate Analysis Of The Diagnostic Yield Of Conventional Bronchoscopy In Peripheral Lung Adenocarcinoma.

Authors:  Wei Gao; Cuiyun Li; Hui Wang; Ping Han; Yunqiang Nie
Journal:  Cancer Manag Res       Date:  2019-11-20       Impact factor: 3.989

3.  Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation.

Authors:  Shuli Hu; Man Luo; Yaling Li
Journal:  Cancer Manag Res       Date:  2021-06-17       Impact factor: 3.989

  3 in total

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