OBJECTIVE: The 5-year survival for patients with surgically resected stage I non-small cell lung cancer is only 60% to 70%, probably because of undetected systemic occult micrometastases. Detection of occult micrometastases in lymph nodes by reverse-transcriptase polymerase chain reaction for carcinoembryonic antigen messenger RNA in non-small cell lung cancer has not been reported. Detection of occult micrometastases by standard reverse-transcriptase polymerase chain reaction provides only yes or no answers about their presence, whereas quantitative real-time reverse-transcriptase polymerase chain reaction permits reproducible quantitation of target molecules. This study evaluated the ability of quantitative reverse-transcriptase polymerase chain reaction to quantitate lymph node occult metastases with carcinoembryonic antigen messenger RNA as a tumor marker. METHODS: Standard reverse-transcriptase polymerase chain reaction and quantitative reverse-transcriptase polymerase chain reaction for carcinoembryonic antigen messenger RNA were performed on 232 lymph nodes from 53 patients with stage I disease (node negative according to histologic examination). Quantitative reverse-transcriptase polymerase chain reaction determined carcinoembryonic antigen messenger RNA quantity by detecting fluorescence increase at a threshold polymerase chain reaction cycle. Threshold polymerase chain reaction cycle values were correlated with standard curves created from serially diluted carcinoembryonic antigen-positive HTB-174 tumor cells to estimate the number of micrometastatic tumor cells in a lymph node. RESULTS: Detection rates of occult metastases were similar for standard reverse-transcriptase polymerase chain reaction and quantitative reverse-transcriptase polymerase chain reaction at 38 of 232 (16.4 %) and 59 of 232 (25.4 %), respectively. Upstaging rates among 53 cases of stage I non-small cell lung cancer were also similar for standard reverse-transcriptase polymerase chain reaction and quantitative reverse-transcriptase polymerase chain reaction at 23 of 53 (43.4 %) and 30 of 53 (56.6%), respectively. Comparison of positive lymph node stations according to quantitative reverse-transcriptase polymerase chain reaction (threshold polymerase chain reaction cycle <45) with HTB-174 tumor cell standard curves yielded estimates of metastatic tumor cell burden of 1.07 x 10(3)to 3.24 x 10(5)cells per lymph node station (median 7190 tumor cells per lymph node station). CONCLUSIONS: Standard and quantitative real-time reverse-transcriptase polymerase chain reaction for carcinoembryonic antigen detected occult metastases in patients with stage I non-small cell lung cancer at similar rates; both upstaged about 50% of cases. Quantitative reverse-transcriptase polymerase chain reaction allows estimation of the number of metastatic cells per lymph node, however, which potentially allows greater precision in predicting recurrence risk.
OBJECTIVE: The 5-year survival for patients with surgically resected stage I non-small cell lung cancer is only 60% to 70%, probably because of undetected systemic occult micrometastases. Detection of occult micrometastases in lymph nodes by reverse-transcriptase polymerase chain reaction for carcinoembryonic antigen messenger RNA in non-small cell lung cancer has not been reported. Detection of occult micrometastases by standard reverse-transcriptase polymerase chain reaction provides only yes or no answers about their presence, whereas quantitative real-time reverse-transcriptase polymerase chain reaction permits reproducible quantitation of target molecules. This study evaluated the ability of quantitative reverse-transcriptase polymerase chain reaction to quantitate lymph node occult metastases with carcinoembryonic antigen messenger RNA as a tumor marker. METHODS: Standard reverse-transcriptase polymerase chain reaction and quantitative reverse-transcriptase polymerase chain reaction for carcinoembryonic antigen messenger RNA were performed on 232 lymph nodes from 53 patients with stage I disease (node negative according to histologic examination). Quantitative reverse-transcriptase polymerase chain reaction determined carcinoembryonic antigen messenger RNA quantity by detecting fluorescence increase at a threshold polymerase chain reaction cycle. Threshold polymerase chain reaction cycle values were correlated with standard curves created from serially diluted carcinoembryonic antigen-positive HTB-174 tumor cells to estimate the number of micrometastatic tumor cells in a lymph node. RESULTS: Detection rates of occult metastases were similar for standard reverse-transcriptase polymerase chain reaction and quantitative reverse-transcriptase polymerase chain reaction at 38 of 232 (16.4 %) and 59 of 232 (25.4 %), respectively. Upstaging rates among 53 cases of stage I non-small cell lung cancer were also similar for standard reverse-transcriptase polymerase chain reaction and quantitative reverse-transcriptase polymerase chain reaction at 23 of 53 (43.4 %) and 30 of 53 (56.6%), respectively. Comparison of positive lymph node stations according to quantitative reverse-transcriptase polymerase chain reaction (threshold polymerase chain reaction cycle <45) with HTB-174 tumor cell standard curves yielded estimates of metastatic tumor cell burden of 1.07 x 10(3)to 3.24 x 10(5)cells per lymph node station (median 7190 tumor cells per lymph node station). CONCLUSIONS: Standard and quantitative real-time reverse-transcriptase polymerase chain reaction for carcinoembryonic antigen detected occult metastases in patients with stage I non-small cell lung cancer at similar rates; both upstaged about 50% of cases. Quantitative reverse-transcriptase polymerase chain reaction allows estimation of the number of metastatic cells per lymph node, however, which potentially allows greater precision in predicting recurrence risk.
Authors: Liqiang Xi; Michael C Coello; Virginia R Litle; Siva Raja; William E Gooding; Samuel A Yousem; Talal El-Hefnawy; Rodney J Landreneau; James D Luketich; Tony E Godfrey Journal: Clin Cancer Res Date: 2006-04-15 Impact factor: 12.531
Authors: Matthew J Bott; Aalok P Patel; Traves D Crabtree; Graham A Colditz; Daniel Kreisel; A Sasha Krupnick; G Alexander Patterson; Stephen Broderick; Bryan F Meyers; Varun Puri Journal: Ann Thorac Surg Date: 2015-08-13 Impact factor: 4.330
Authors: Linda W Martin; Jonathan D'Cunha; Xiaofei Wang; Debra Herzan; Lin Gu; Naif Abraham; Todd L Demmy; Frank C Detterbeck; Shawn S Groth; David H Harpole; Mark J Krasna; Kemp Kernstine; Leslie J Kohman; G Alexander Patterson; David J Sugarbaker; Robin T Vollmer; Michael A Maddaus; Robert A Kratzke Journal: J Clin Oncol Date: 2016-02-29 Impact factor: 44.544
Authors: Richard J Gralla; Martin J Edelman; Frank C Detterbeck; Thierry M Jahan; David M Loesch; Steven A Limentani; Ramaswamy Govindan; Guangbin Peng; Matthew J Monberg; Coleman K Obasaju; Mark A Socinski Journal: Support Care Cancer Date: 2008-09-10 Impact factor: 3.603
Authors: Matthew J Bott; Aalok P Patel; Vivek Verma; Traves D Crabtree; Daniel Morgensztern; Clifford G Robinson; Graham A Colditz; Saiama Waqar; Daniel Kreisel; A Sasha Krupnick; G Alexander Patterson; Stephen Broderick; Bryan F Meyers; Varun Puri Journal: J Thorac Cardiovasc Surg Date: 2016-03-12 Impact factor: 5.209