Literature DB >> 22419795

Lung cancer staging: a physiological update.

Michael Poullis1, James McShane, Mathew Shaw, Steven Woolley, Michael Shackcloth, Richard Page, Neeraj Mediratta.   

Abstract

The tumour-node metastasis (TNM) classification system is anatomically based. We investigated whether the addition of simple physiological variables, age and body mass index (BMI), would affect survival curves, i.e. a composite anatomical and physiological staging system. We retrospectively analysed a prospectively validated thoracic surgery database (n = 1981). Cox multivariate analysis was performed to determine possible significant factors. Kaplan-Meier survival curves were constructed with combined anatomical and physiological factors. Cox multivariate analysis revealed age (P < 0.001) and BMI (P = 0.01) as significant factors affecting survival. Receiver operating curve analysis determined cut-off levels for age of 67 and BMI of 27.6. A composite anatomical and physiological survival curve based on TNM for BMI > 27.6 and age < 67 was produced. Age and BMI criteria resulted in significantly different survival curves, for stage I (P < 0.0001) and stage II (P = 0.0032), but not for stage III (P = 0.06). Neural network analysis confirmed the importance of BMI and age above cancer stage with regard to long-term survival. Combining age < 67, BMI > 27.6 and TNM anatomical classification results in very different estimated survival curves from the usual TNM system. Patients from stages I, II and III may have survival equivalent to a stage higher or lower depending on their age and BMI.

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Year:  2012        PMID: 22419795      PMCID: PMC3352702          DOI: 10.1093/icvts/ivr164

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  12 in total

1.  The European Thoracic Database project: composite performance score to measure quality of care after major lung resection.

Authors:  Alessandro Brunelli; Richard G Berrisford; Gaetano Rocco; Gonzalo Varela
Journal:  Eur J Cardiothorac Surg       Date:  2009-03-09       Impact factor: 4.191

2.  Aspirin and non-small cell lung cancer resections: effect on long-term survival.

Authors:  Eustace Fontaine; James McShane; Richard Page; Michael Shackcloth; Neeraj Mediratta; Martyn Carr; Ajab Soorae; Michael Poullis
Journal:  Eur J Cardiothorac Surg       Date:  2010-03-31       Impact factor: 4.191

3.  Wedge resection versus lobectomy for stage I (T1 N0 M0) non-small-cell lung cancer.

Authors:  R J Landreneau; D J Sugarbaker; M J Mack; S R Hazelrigg; J D Luketich; L Fetterman; M J Liptay; S Bartley; T M Boley; R J Keenan; P F Ferson; R J Weyant; K S Naunheim
Journal:  J Thorac Cardiovasc Surg       Date:  1997-04       Impact factor: 5.209

4.  Does positron emission tomography scanning improve survival in patients undergoing potentially curative lung resections for non-small-cell lung cancer?

Authors:  Eustace Fontaine; James McShane; Martyn Carr; Michael Shackcloth; Neeraj Mediratta; Richard Page; Michael Poullis
Journal:  Eur J Cardiothorac Surg       Date:  2011-02-20       Impact factor: 4.191

5.  Prognostic factors of pathologic stage IB non-small cell lung cancer.

Authors:  Motoki Yano; Hidefumi Sasaki; Satoru Moriyama; Osamu Kawano; Yu Hikosaka; Yoshitaka Fujii
Journal:  Ann Thorac Cardiovasc Surg       Date:  2011       Impact factor: 1.520

6.  Long-term results of the international adjuvant lung cancer trial evaluating adjuvant Cisplatin-based chemotherapy in resected lung cancer.

Authors:  Rodrigo Arriagada; Ariane Dunant; Jean-Pierre Pignon; Bengt Bergman; Mariusz Chabowski; Dominique Grunenwald; Miroslaw Kozlowski; Cécile Le Péchoux; Robert Pirker; Maria-Izabel Sathler Pinel; Michèle Tarayre; Thierry Le Chevalier
Journal:  J Clin Oncol       Date:  2009-11-23       Impact factor: 44.544

7.  The International Association for the Study of Lung Cancer Staging Project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer.

Authors:  Kari Chansky; Jean-Paul Sculier; John J Crowley; Dori Giroux; Jan Van Meerbeeck; Peter Goldstraw
Journal:  J Thorac Oncol       Date:  2009-07       Impact factor: 15.609

8.  Identification of gene signatures and molecular markers for human lung cancer prognosis using an in vitro lung carcinogenesis system.

Authors:  Humam Kadara; Ludovic Lacroix; Carmen Behrens; Luisa Solis; Xuemin Gu; J Jack Lee; Eiji Tahara; Dafna Lotan; Waun Ki Hong; Ignacio I Wistuba; Reuben Lotan
Journal:  Cancer Prev Res (Phila)       Date:  2009-07-28

Review 9.  Does lobectomy achieve better survival and recurrence rates than limited pulmonary resection for T1N0M0 non-small cell lung cancer patients?

Authors:  Themistokles Chamogeorgakis; Costas Ieromonachos; Emmanouil Georgiannakis; Dimitrios Mallios
Journal:  Interact Cardiovasc Thorac Surg       Date:  2008-07-18

Review 10.  East meets West: ethnic differences in epidemiology and clinical behaviors of lung cancer between East Asians and Caucasians.

Authors:  Wei Zhou; David C Christiani
Journal:  Chin J Cancer       Date:  2011-05
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  3 in total

1.  An overview of the use of artificial neural networks in lung cancer research.

Authors:  Luca Bertolaccini; Piergiorgio Solli; Alessandro Pardolesi; Antonello Pasini
Journal:  J Thorac Dis       Date:  2017-04       Impact factor: 2.895

2.  Body mass index and mortality in lung cancer patients: a systematic review and meta-analysis.

Authors:  J Wang; H Xu; S Zhou; D Wang; L Zhu; J Hou; J Tang; J Zhao; S Zhong
Journal:  Eur J Clin Nutr       Date:  2017-05-17       Impact factor: 4.016

Review 3.  A scoping review of artificial intelligence applications in thoracic surgery.

Authors:  Kenneth P Seastedt; Dana Moukheiber; Saurabh A Mahindre; Chaitanya Thammineni; Darin T Rosen; Ammara A Watkins; Daniel A Hashimoto; Chuong D Hoang; Jacques Kpodonu; Leo A Celi
Journal:  Eur J Cardiothorac Surg       Date:  2022-01-24       Impact factor: 4.191

  3 in total

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