Open AccessSemiautomated Laser Capture Microdissection of Lung Adenocarcinoma Cytology Samples
Author(s) -
Sinchita RoyChowdhuri,
Jeffrey C. Hanson,
Jerome Cheng,
Jaime RodriguezCanales,
Patricia Fetsch,
Ulysses J. Balis,
Armando Filie,
Giuseppe Giaccone,
Michael R. EmmertBuck,
Jason Hipp
Publication year - 2012
Publication title -
acta cytologica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 57
eISSN - 1938-2650
pISSN - 0001-5547
DOI - 10.1159/000342984
Subject(s) - laser capture microdissection , adenocarcinoma , cytology , medicine , pathology , lung cancer , grading (engineering) , microdissection , lung tumor , cancer , biology , gene , gene expression , ecology , biochemistry
In the past decade molecular diagnostics has changed the clinical management of lung adenocarcinoma patients. Molecular diagnostics, however, is largely dependent on the quantity and quality of the tumor DNA that is retrieved from the tissue or cytology samples. Frequently, patients are diagnosed on cytology specimens where the tumor cells are scattered within the cell block, making selecting for tumor enrichment difficult. In the past we have used laser capture microdissection (LCM) to select for pure populations of tumor cells to increase the sensitivity of molecular assays. This study explores several methods for semiautomated computer-guided LCM.