PURPOSE: We performed a study to determine if a fluorescence in situ hybridization (FISH)-based assay using isolated peripheral blood mononuclear cells (PBMCs) with DNA probes targeting specific sites on chromosomes known to have abnormalities in non-small cell lung cancer (NSCLC) cases could detect circulating genetically abnormal cells (CACs). EXPERIMENTAL DESIGN: We evaluated 59 NSCLC cases with stage I through IV disease and 24 controls. PBMCs and matched tumors were hybridized with 2 two-color [3p22.1/CEP3 and 10q22.3 (SP-A)/CEP10) and 2 four-color [CEP3, CEP7, CEP17, and 9p21.3 (URO); and EGFR, c-MYC, 6p11-q11, and 5p15.2 (LAV)] FISH probes. Percentages of cytogenetically abnormal cells (CACs) in peripheral blood and in matched tumor specimens were quantified by using an automated fluorescent scanner. Numbers of CACs were calculated based on the percentage of CACs (defined as PBMCs with genetic abnormalities) per milliliter of blood and expressed per microliter of blood. RESULTS: Patients with NSCLC had significantly higher numbers of CACs than controls. Mean number of CACs ranged from 7.23 +/- 1.32/microL for deletions of 10q22.3/CEP10 to 45.52 +/- 7.49/microL for deletions of 3p22.1/CEP3. Numbers of CACs with deletions of 3p22.1, 10q22.3, and 9p21.3, and gains of URO, increased significantly from early to advanced stage of disease. CONCLUSIONS: We have developed a sensitive and quantitative antigen-independent FISH-based test for detecting CACs in peripheral blood of patients with NSCLC, which showed a significant correlation with the presence of cancer. If this pilot study can be validated in a larger study, CACs may have a role in the management of patients with NSCLC. (c) 2010 AACR.
PURPOSE: We performed a study to determine if a fluorescence in situ hybridization (FISH)-based assay using isolated peripheral blood mononuclear cells (PBMCs) with DNA probes targeting specific sites on chromosomes known to have abnormalities in non-small cell lung cancer (NSCLC) cases could detect circulating genetically abnormal cells (CACs). EXPERIMENTAL DESIGN: We evaluated 59 NSCLC cases with stage I through IV disease and 24 controls. PBMCs and matched tumors were hybridized with 2 two-color [3p22.1/CEP3 and 10q22.3 (SP-A)/CEP10) and 2 four-color [CEP3, CEP7, CEP17, and 9p21.3 (URO); and EGFR, c-MYC, 6p11-q11, and 5p15.2 (LAV)] FISH probes. Percentages of cytogenetically abnormal cells (CACs) in peripheral blood and in matched tumor specimens were quantified by using an automated fluorescent scanner. Numbers of CACs were calculated based on the percentage of CACs (defined as PBMCs with genetic abnormalities) per milliliter of blood and expressed per microliter of blood. RESULTS:Patients with NSCLC had significantly higher numbers of CACs than controls. Mean number of CACs ranged from 7.23 +/- 1.32/microL for deletions of 10q22.3/CEP10 to 45.52 +/- 7.49/microL for deletions of 3p22.1/CEP3. Numbers of CACs with deletions of 3p22.1, 10q22.3, and 9p21.3, and gains of URO, increased significantly from early to advanced stage of disease. CONCLUSIONS: We have developed a sensitive and quantitative antigen-independent FISH-based test for detecting CACs in peripheral blood of patients with NSCLC, which showed a significant correlation with the presence of cancer. If this pilot study can be validated in a larger study, CACs may have a role in the management of patients with NSCLC. (c) 2010 AACR.
Authors: Ruiyun Li; Nevins W Todd; Qi Qiu; Tao Fan; Richard Y Zhao; William H Rodgers; Hong-Bin Fang; Ruth L Katz; Sanford A Stass; Feng Jiang Journal: Clin Cancer Res Date: 2007-01-15 Impact factor: 12.531
Authors: Randa A El-Zein; Matthew B Schabath; Carol J Etzel; Mirtha S Lopez; Jamey D Franklin; Margaret R Spitz Journal: Cancer Res Date: 2006-06-15 Impact factor: 12.701
Authors: Kevin C Halling; Otis B Rickman; Benjamin R Kipp; Aaron R Harwood; Clinton H Doerr; James R Jett Journal: Chest Date: 2006-09 Impact factor: 9.410
Authors: Daniel F Hayes; Massimo Cristofanilli; G Thomas Budd; Matthew J Ellis; Alison Stopeck; M Craig Miller; Jeri Matera; W Jeffrey Allard; Gerald V Doyle; Leon W W M Terstappen Journal: Clin Cancer Res Date: 2006-07-15 Impact factor: 12.531
Authors: Marileila Varella-Garcia; Lin Chen; Roger L Powell; Fred R Hirsch; Timothy C Kennedy; Robert Keith; York E Miller; John D Mitchell; Wilbur A Franklin Journal: Am J Respir Crit Care Med Date: 2007-06-28 Impact factor: 21.405
Authors: Jonathan W Uhr; Michael L Huebschman; Eugene P Frenkel; Nancy L Lane; Raheela Ashfaq; Huaying Liu; Dipen R Rana; Lawrence Cheng; Alice T Lin; Gareth A Hughes; Xiaojing J Zhang; Harold R Garner Journal: Transl Res Date: 2011-09-03 Impact factor: 7.012
Authors: Lixin Zhang; Lon D Ridgway; Michael D Wetzel; Jason Ngo; Wei Yin; Disha Kumar; Jerry C Goodman; Morris D Groves; Dario Marchetti Journal: Sci Transl Med Date: 2013-04-10 Impact factor: 17.956