Literature DB >> 11882819

Molecular staging of lung cancer: real-time polymerase chain reaction estimation of lymph node micrometastatic tumor cell burden in stage I non-small cell lung cancer--preliminary results of Cancer and Leukemia Group B Trial 9761.

Jonathan D'Cunha1, Angela L Corfits, James E Herndon, Jeffrey A Kern, Leslie J Kohman, G Alexander Patterson, Robert A Kratzke, Michael A Maddaus.   

Abstract

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.

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Year:  2002        PMID: 11882819     DOI: 10.1067/mtc.2002.119883

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  12 in total

1.  A combination of molecular markers accurately detects lymph node metastasis in non-small cell lung cancer patients.

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

2.  Pathologic Upstaging in Patients Undergoing Resection for Stage I Non-Small Cell Lung Cancer: Are There Modifiable Predictors?

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

3.  Detection of Occult Micrometastases in Patients With Clinical Stage I Non-Small-Cell Lung Cancer: A Prospective Analysis of Mature Results of CALGB 9761 (Alliance).

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

4.  Detection of disseminated lung cancer cells in regional lymph nodes by assay of CK19 reverse transcriptase polymerase chain reaction and its clinical significance.

Authors:  Ming Jian Ge; Qing Chen Wu; Mei Wang; Yu Hong Zhang; Liang Bin Li
Journal:  J Cancer Res Clin Oncol       Date:  2005-07-27       Impact factor: 4.553

5.  Lymph node micrometastases detected by carcinoembryonic antigen mRNA affect long-term survival and disease-free interval in early-stage lung cancer patients.

Authors:  Mario Nosotti; Alessandro Palleschi; Lorenzo Rosso; Davide Tosi; Luigi Santambrogio; Paolo Mendogni; Antonella Marzorati; Ilaria Righi; Silvano Bosari
Journal:  Oncol Lett       Date:  2012-08-24       Impact factor: 2.967

Review 6.  Current innovations in sentinel lymph node mapping for the staging and treatment of resectable lung cancer.

Authors:  Krista J Hachey; Yolonda L Colson
Journal:  Semin Thorac Cardiovasc Surg       Date:  2014-09-16

7.  The role of SHP-1 promoter 2 hypermethylation detection of lymph node micrometastasis in resectable stage I non-small cell lung cancer as a prognostic marker of disease recurrence.

Authors:  Chanida Vinayanuwattikun; Vinayanuwattikun Chanida; Poonchavist Chantranuwat; Chantranuwat Poonchavist; Virote Sriuranpong; Sriuranpong Virote; Apiwat Mutirangura; Mutirangura Apiwat
Journal:  Int J Clin Oncol       Date:  2013-07-04       Impact factor: 3.402

8.  Assessing quality of life following neoadjuvant therapy for early stage non-small cell lung cancer (NSCLC): results from a prospective analysis using the Lung Cancer Symptom Scale (LCSS).

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

9.  Patterns of care in hilar node-positive (N1) non-small cell lung cancer: A missed treatment opportunity?

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

Review 10.  Tomorrow's cancer treatments today: the first 50 years of the Cancer and Leukemia Group B.

Authors:  Mark R Green; Stephen L George; Richard L Schilsky
Journal:  Semin Oncol       Date:  2008-10       Impact factor: 4.929

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