Literature DB >> 8462247

Lung cancer staging classification.

C F Mountain1.   

Abstract

In presenting the staging system, I recognize that in a given patient the total tumor burden cannot be precisely quantitated, and the balance between host defenses and the heterogeneity of the malignancy is not measurable. These and other complex interacting biological variables will influence the subsequent course of the disease. However, our data support the premise that the straightforward indices of disease extent in the TNM system permit a simple yet valid classification that best reflects prognosis. Patients can be grouped together according to certain measurable common features of their disease so that within each stage group treatment options and survival expectations will be generally similar. In this manner reliable and valid comparisons of the results of different modalities of therapy can be made. Survival data according to staging criteria are a measure of the efficacy of available therapy for lung cancer; thus, the staging information serves as a valuable guide for treatment planning.

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Mesh:

Year:  1993        PMID: 8462247

Source DB:  PubMed          Journal:  Clin Chest Med        ISSN: 0272-5231            Impact factor:   2.878


  9 in total

1.  Differential regulation of RANTES and IL-8 expression in lung adenocarcinoma cells.

Authors:  Corinne Henriquet; Claire Gougat; Audrey Combes; Gwendal Lazennec; Marc Mathieu
Journal:  Lung Cancer       Date:  2007-01-17       Impact factor: 5.705

Review 2.  Genomic signatures in non-small-cell lung cancer: targeting the targeted therapies.

Authors:  Holly K Dressman; Andrea Bild; Jennifer Garst; David Harpole; Anil Potti
Journal:  Curr Oncol Rep       Date:  2006-07       Impact factor: 5.075

3.  Factors which modulate the rates of skeletal muscle mass loss in non-small cell lung cancer patients: a pilot study.

Authors:  Philippe Atlan; Mohamed Amine Bayar; Emilie Lanoy; Benjamin Besse; David Planchard; Jordy Ramon; Bruno Raynard; Sami Antoun
Journal:  Support Care Cancer       Date:  2017-06-08       Impact factor: 3.603

Review 4.  Translating genomics into clinical practice: applications in lung cancer.

Authors:  Aubrey Jolly Graham; Anil Potti
Journal:  Curr Oncol Rep       Date:  2009-07       Impact factor: 5.075

5.  Incorporating PET information in radiation therapy planning.

Authors:  M Macmanus; T Leong
Journal:  Biomed Imaging Interv J       Date:  2007-01-01

6.  Prognostic significance of CD44s expression in resected non-small cell lung cancer.

Authors:  Yoon Ho Ko; Hye Sung Won; Eun Kyoung Jeon; Sook Hee Hong; Sang Young Roh; Young Seon Hong; Jae Ho Byun; Chan-Kwon Jung; Jin Hyoung Kang
Journal:  BMC Cancer       Date:  2011-08-07       Impact factor: 4.430

7.  Relationship between vascularity, age and survival in non-small-cell lung cancer.

Authors:  L M Chandrachud; N Pendleton; D M Chisholm; M A Horan; A M Schor
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

8.  'Tumour volume' as a predictor of survival after resection of non-small-cell lung cancer (NSCLC)

Authors:  M F Jefferson; N Pendleton; E B Faragher; G R Dixon; M W Myskow; M A Horan
Journal:  Br J Cancer       Date:  1996-08       Impact factor: 7.640

9.  Staging of nutrition disorders in non-small-cell lung cancer patients: utility of skeletal muscle mass assessment.

Authors:  Sami Antoun; Hugues Morel; Pierre-Jean Souquet; Veerle Surmont; David Planchard; Franck Bonnetain; Pascal Foucher; Thomas Egenod; Ivan Krakowski; Hélène Gaudin; Didier Debieuvre
Journal:  J Cachexia Sarcopenia Muscle       Date:  2019-04-01       Impact factor: 12.910

  9 in total

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