Literature DB >> 13679456

Tyrosinase RT-PCR as a supplement to histology for detecting melanoma and nevus cells in paraffin sections of sentinel lymph nodes.

Hans Starz1, Christian J Haas, Gesa-Maria Schulz, Bernd-Rüdiger Balda.   

Abstract

The detection of tyrosinase mRNA in sentinel lymph nodes (SLNs) by reverse transcription polymerase chain reaction (RT-PCR) is a sensitive indicator for the presence of melanoma or nevus cells, but it does not enable a distinction between both. We have established an efficient method for extraction and reverse transcription of tyrosinase mRNA from paraffin sections that permits the close correlation of the RT-PCR results with (immuno)histologic findings in adjacent sections. One hundred fifty-three SLNs and 6 non-SLN specimens originating from 92 melanoma and 4 nonmelanoma patients were studied to test the reliability of this approach. The predictive value of positive RT-PCR results was 0.98 for the presence of melanoma or nevus cells; the corresponding negative predictive value was 0.83. Furthermore, the detection rate of tyrosinase mRNA significantly correlated with tumor burden. Among the 33 melanoma-positive SLNs without nevus cells, positive RT-PCR results were obtained in all specimens with extended peripheral (S2) or deeply invasive (S3) micrometastases but in only 46% of the cases with few localized melanoma cells in the subcapsular zone (S1). Routine (immuno)histologic evaluation alone had missed microclusters of melanoma cells in one SLN and small nevus cell aggregates in six other SLNs. They were detected only during microscopic reexamination caused by a positive RT-PCR result. We conclude that histology and immunohistochemistry remain the indispensable gold standard for the identification of melanoma and nevus cells in SLNs. Additional molecular analyses using adjacent paraffin sections may further improve the diagnostic accuracy by sensitizing and guiding the microscopist's attention.

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Year:  2003        PMID: 13679456     DOI: 10.1097/01.MP.0000086074.55963.24

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  7 in total

1.  EANM-EORTC general recommendations for sentinel node diagnostics in melanoma.

Authors:  Annette H Chakera; Birger Hesse; Zeynep Burak; James R Ballinger; Allan Britten; Corrado Caracò; Alistair J Cochran; Martin G Cook; Krzysztof T Drzewiecki; Richard Essner; Einat Even-Sapir; Alexander M M Eggermont; Tanja Gmeiner Stopar; Christian Ingvar; Martin C Mihm; Stanley W McCarthy; Nicola Mozzillo; Omgo E Nieweg; Richard A Scolyer; Hans Starz; John F Thompson; Giuseppe Trifirò; Giuseppe Viale; Sergi Vidal-Sicart; Roger Uren; Wendy Waddington; Arturo Chiti; Alain Spatz; Alessandro Testori
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-10       Impact factor: 9.236

Review 2.  Tumor cell and circulating markers in melanoma: diagnosis, prognosis, and management.

Authors:  Nicole Kounalakis; James S Goydos
Journal:  Curr Oncol Rep       Date:  2005-09       Impact factor: 5.075

3.  Prognostic impact of tumour burden measured by quantitative real-time PCR from sentinel lymph nodes of melanoma patients: data from 10-year follow-up.

Authors:  Thomas Kurt Eigentler; Joachim Hinderer; Seema Noor; Claus Garbe; Ulrike Leiter
Journal:  J Cancer Res Clin Oncol       Date:  2016-12-19       Impact factor: 4.553

4.  "Stealth" melanoma cells in histology-negative sentinel lymph nodes.

Authors:  Eijun Itakura; Rong-Rong Huang; Duan-Ren Wen; Alistair J Cochran
Journal:  Am J Surg Pathol       Date:  2011-11       Impact factor: 6.394

Review 5.  Melanoma biomarkers: current status and vision for the future.

Authors:  Allison R Larson; Eliz Konat; Rhoda M Alani
Journal:  Nat Clin Pract Oncol       Date:  2008-12-23

6.  Features of sentinel lymph nodes for melanoma may lead to re-diagnosis of the cutaneous primary: an unusual case and review of literature.

Authors:  Rathi Ramakrishnan; Richard Young; Barry Powell; M G Cook
Journal:  Virchows Arch       Date:  2004-09-09       Impact factor: 4.064

7.  Decoding melanoma metastasis.

Authors:  William E Damsky; Lara E Rosenbaum; Marcus Bosenberg
Journal:  Cancers (Basel)       Date:  2010-12-30       Impact factor: 6.639

  7 in total

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