4.6 Review

Molecular histology of lung cancer: From targets to treatments

Journal

CANCER TREATMENT REVIEWS
Volume 41, Issue 4, Pages 361-375

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ctrv.2015.02.008

Keywords

Lung cancer; Biomarkers; Epidermal growth factor receptor (EGFR); Personalised medicine; Molecular histology; Cancer stem cells

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Funding

  1. Clinical Research Initiative Grant
  2. Manchester Experimental Cancer Medical Centre from Cancer Research UK
  3. Swedish Cancer Society
  4. Cancer Research UK [20465] Funding Source: researchfish

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Lung cancer is the leading cause of cancer-related death worldwide with a 5-year survival rate of less than 15%, despite significant advances in both diagnostic and therapeutic approaches. Combined genomic and transcriptomic sequencing studies have identified numerous genetic driver mutations that are responsible for the development of lung cancer. In addition, molecular profiling studies identify gene products and their mutations which predict tumour responses to targeted therapies such as protein tyrosine kinase inhibitors and also can offer explanation for drug resistance mechanisms. The profiling of circulating micro-RNAs has also provided an ability to discriminate patients in terms of prognosis/diagnosis and high-throughput DNA sequencing strategies are beginning to elucidate cell signalling pathway mutations associated with oncogenesis, including potential stem cell associated pathways, offering the promise that future therapies may target this sub-population, preventing disease relapse post treatment and improving patient survival. This review provides an assessment of molecular profiling within lung cancer concerning molecular mechanisms, treatment options and disease-progression. Current areas of development within lung cancer profiling are discussed (i.e. profiling of circulating tumour cells) and future challenges for lung cancer treatment addressed such as detection of micro-metastases and cancer stem cells. (C) 2015 Elsevier Ltd. All rights reserved.

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