Literature DB >> 17332303

Mesothelin expression in human lung cancer.

Mitchell Ho1, Tapan K Bera, Mark C Willingham, Masanori Onda, Raffit Hassan, David FitzGerald, Ira Pastan.   

Abstract

PURPOSE: To investigate mesothelin as a new target for immunotherapy in lung cancer. EXPERIMENTAL
DESIGN: Mesothelin mRNA and protein expression were assessed by reverse transcription-PCR, immunoblotting, and immunohistochemistry in human lung cancer specimens. Expression was also characterized in human lung cancer cell lines by flow cytometry and immunoblotting. The SS1P immunotoxin specific for mesothelin was assessed for its cytotoxic activity against lung cancer cells.
RESULTS: We found that mesothelin mRNA was expressed in 83% of lung adenocarcinomas (10 of 12 patients). The mesothelin precursor protein was detected in 82% of lung adenocarcinoma (9 of 11 patients), and its mature form was detected in 55% (6 of 11 patients). Immunohistochemistry showed strong and diffuse mesothelin staining in human lung adenocarcinomas and weak or modest staining in squamous cell carcinomas. We detected mesothelin mRNA in 78% of lung cancer cell lines (7 of 9) of the NCI-60 cell line panel. Mesothelin mRNA and proteins were expressed at a high level in non-small cell lung cancer lines EKVX, NCI-H460, NCI-H322M, and NCI-H522. Flow cytometric analysis showed high surface expression of mesothelin in NCI-H322M and EKVX cell lines. Immunotoxin SS1P showed high cytotoxic activity on NCI-H322M and EKVX cells with IC(50) values ranging from 2 to 5 ng/mL.
CONCLUSIONS: Mesothelin is expressed on the surface of most lung adenocarcinoma cells. Immunotoxin SS1P is cytotoxic against mesothelin-expressing lung cancer cell lines and merits evaluation as a new therapeutic agent in treating non-small cell lung cancer.

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Year:  2007        PMID: 17332303     DOI: 10.1158/1078-0432.CCR-06-2161

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  74 in total

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Authors:  Liping Yu; Mingqian Feng; Heungnam Kim; Yen Phung; David E Kleiner; Gregory J Gores; Min Qian; Xin Wei Wang; Mitchell Ho
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