Literature DB >> 7551921

Biological prognostic factors in non-small cell lung cancer.

G V Scagliotti1, P Masiero, E Pozzi.   

Abstract

The results of conventional treatments for lung cancer remain poor and long-term survival rates have changed little over the last 10 years. In the same period of time there has been an explosion in the knowledge on the processes of cellular transformation, tumour progression, invasion and metastasis. The major categories of biological events implicated in non-small cell lung cancer include growth factor receptors expression (epidermal growth receptor, p185c-neu), autocrine growth factor production (transforming growth factor alpha), dominant oncogenes activation (ras genes) and deletion of tumour suppressor genes (p53 gene, retinoblastoma gene) and these are some of the abnormalities associated with specific histological types and with poor prognosis. Additional prognostic information can be obtained from the evaluation of the ploidy and proliferative activity of the tumours, carbohydrate antigens expression, presence of neuroendocrine differentiation and the evaluation of markers of the sequential steps involved in the process of tumour dissemination.

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Year:  1995        PMID: 7551921     DOI: 10.1016/0169-5002(95)00417-y

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  3 in total

1.  A front-line window of opportunity phase 2 study of sorafenib in patients with advanced nonsmall cell lung cancer: North Central Cancer Treatment Group Study N0326.

Authors:  Grace K Dy; Shauna L Hillman; Kendrith M Rowland; Julian R Molina; Preston D Steen; Donald B Wender; Suresh Nair; Sumithra Mandrekar; Steven E Schild; Alex A Adjei
Journal:  Cancer       Date:  2010-12-15       Impact factor: 6.860

Review 2.  Adjuvant therapy in completely resected non-small-cell lung cancer.

Authors:  Giorgio V Scagliotti; Silvia Novello
Journal:  Curr Oncol Rep       Date:  2003-07       Impact factor: 5.075

3.  An individual-based model for collective cancer cell migration explains speed dynamics and phenotype variability in response to growth factors.

Authors:  Damian Stichel; Alistair M Middleton; Kai Breuhahn; Franziska Matthäus; Benedikt F Müller; Sofia Depner; Ursula Klingmüller
Journal:  NPJ Syst Biol Appl       Date:  2017-03-03
  3 in total

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