4.8 Article

Overexpression of Dicer in precursor lesions of lung adenocarcinoma

Journal

CANCER RESEARCH
Volume 67, Issue 5, Pages 2345-2350

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-06-3533

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Funding

  1. NATIONAL CANCER INSTITUTE [R01CA098249] Funding Source: NIH RePORTER
  2. NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES [UL1TR000005] Funding Source: NIH RePORTER
  3. NCATS NIH HHS [UL1 TR000005] Funding Source: Medline
  4. NCI NIH HHS [R01 CA 098249] Funding Source: Medline

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Differential microRNA (mill) expression is described in nonsmall cell lung carcinoma. mill, biogenesis requires a set of proteins collectively referred to as the miR machinery. In the proposed multistep carcinogenesis model, peripheral adenocarcinoma of the lung develops from noninvasive precursor lesions known as atypical adenomatous hyperplasia (AAH) and bronchioloalveolar carcinoma (BAC). The gene array analysis of BAC and adenocarcinoma showed a transient upregulation of Dicer (a key effector protein for small interfering RNA and mill function) and PACT along with down-regulation of most genes encoding miR machinery proteins. Immunohistochemically, Dicer was up-regulated in AAH and BAC and down-regulated in areas of invasion and in advanced adenocarcinoma. A fraction of adenocarcinomas lose Dicer as a result of deletions at the Dicer locus. Expanded immunohistochemical and Western blot analysis showed higher Dicer level in squamous cell carcinoma (SCC) of the lung when compared with adenocareinoma. Other proteins of the RNAinduced silencing complex (RISC; SND I, PACT, and FXRI) were also present at higher levels in a SCC cell line when compared with an adenocarcinoma cell line. In conclusion, the stoichiometry of mill machinery and RISC depends on histologic subtype of lung carcinoma, varies along the AAH-BACadenocarcinoma sequence, and might explain the observed abnormal miR profile in lung cancer. The status of the endogenous mill machinery in various histologic subtypes and stages of lung cancer may help to predict the toxicity of and susceptibility to future RNA interference-based therapy.

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