Literature DB >> 9660019

Detection of occult breast cancer micrometastases in axillary lymph nodes using a multimarker reverse transcriptase-polymerase chain reaction panel.

M A Lockett1, P L Baron, P H O'Brien, B M Elliott, J G Robison, N Maitre, J S Metcalf, D J Cole.   

Abstract

BACKGROUND: Axillary lymph node status in breast cancer patients remains the single most important predictor of outcomes. Current methods of histopathologic analysis may be inadequate because 30% of node-negative patients recur. The purpose of this study was to test the hypothesis that a multigene reverse transcriptase-polymerase chain reaction (RT-PCR) panel provides a more sensitive method to detect axillary lymph node metastases than routine pathologic examination. STUDY
DESIGN: Sixty-one consecutive breast cancer patients were evaluated, with nine normal control patients. Nodes > 1 cm were bisected for histopathologic and RT-PCR analysis. Nodal tissue was homogenized, and total RNA was converted into cDNA with reverse transcriptase. Reverse transcriptase-polymerase chain reaction analysis was performed with primers specific for keratin-19, c-myc, prolactin inducible protein (PIP), and beta-actin using ethidium bromide gel electrophoresis. Reverse transcriptase-polymerase chain reaction positive/ pathology negative axillary lymph nodes were reevaluated using step sectioning and immunohistochemical staining.
RESULTS: Thirty-seven patients had pathologically negative axillary lymph nodes, of which 15 (40%) were positive by RT-PCR analysis. Two RT-PCR negative results (one probably from tissue processing error and the other secondary to sampling error) among the 24 histologically positive specimens were detected (8%). The number of patients in each pathologic stage was 26 patients in stage I; 18, stage IIA; 7, stage IIB; 7, stage IIIA; 3, stage IIIB; and 0 patients in stage IV. By RT-PCR staging, 8 of 26 patients went from stage I to IIA (30%), and 7 of 18 from stage IIA to IIB (39%). Of the RT-PCR positive individuals who were stage I by pathologic analysis, 100% were found to be c-myc positive, 0% keratin-19 positive, and 0% PIP positive; for stage IIIB patients these markers were 50%, 100%, and 100% respectively. Additionally, an increasing number of positive markers per specimen appeared to correlate with larger primary tumor size (p < 0.01) and decreased predicted 5-year survival (r = 0.950, p < 0.002).
CONCLUSIONS: Multimarker RT-PCR analysis appears to be a readily available and highly sensitive method for the detection of axillary lymph node micrometastases. Longterm followup of RT-PCR positive patients will be required to determine its clinical relevance. If validated as a predictor of disease recurrence, this method would provide a powerful complement to routine histopathologic analysis of axillary lymph nodes.

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Year:  1998        PMID: 9660019     DOI: 10.1016/s1072-7515(98)00130-6

Source DB:  PubMed          Journal:  J Am Coll Surg        ISSN: 1072-7515            Impact factor:   6.113


  7 in total

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2.  Identification and characterization of optimal gene expression markers for detection of breast cancer metastasis.

Authors:  John Backus; Todd Laughlin; Yixin Wang; Robert Belly; Robert White; Jon Baden; C Justus Min; Ann Mannie; Lorraine Tafra; David Atkins; Kathryn M Verbanac
Journal:  J Mol Diagn       Date:  2005-08       Impact factor: 5.568

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Authors:  Feng Xu; Jie Chen; Hua-hao Shen; Xuan-ding Wang; Jiang Shan
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4.  Molecular detection of micrometastatic breast cancer in histopathology-negative axillary lymph nodes correlates with traditional predictors of prognosis: an interim analysis of a prospective multi-institutional cohort study.

Authors:  William E Gillanders; Kaidi Mikhitarian; Renee Hebert; Patrick D Mauldin; Yuko Palesch; Christian Walters; Marshall M Urist; G Bruce Mann; Gerard Doherty; Virginia M Herrmann; Arnold D Hill; Oleg Eremin; Mohamed El-Sheemy; Richard K Orr; Alvaro A Valle; Michael A Henderson; Robert L Dewitty; Sonia L Sugg; Eric Frykberg; Karen Yeh; Richard M Bell; John S Metcalf; Bruce M Elliott; Thomas Brothers; Jay Robison; Michael Mitas; David J Cole
Journal:  Ann Surg       Date:  2004-06       Impact factor: 12.969

5.  The potential role for prolactin-inducible protein (PIP) as a marker of human breast cancer micrometastasis.

Authors:  J W Clark; L Snell; R P Shiu; F W Orr; N Maitre; C P Vary; D J Cole; P H Watson
Journal:  Br J Cancer       Date:  1999-11       Impact factor: 7.640

6.  Analysis of potential markers for detection of submicroscopic lymph node metastases in breast cancer.

Authors:  A E Merrie; K Yun; J Gunn; L V Phillips; J L McCall
Journal:  Br J Cancer       Date:  1999-08       Impact factor: 7.640

7.  Identification of circulating tumour cells in early stage breast cancer patients using multi marker immunobead RT-PCR.

Authors:  Michael P Raynor; Sally-Anne Stephenson; Kenneth B Pittman; David C A Walsh; Michael A Henderson; Alexander Dobrovic
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  7 in total

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