Loren Masterson, Bryan J Thibodeau, Laura E Fortier, Timothy J Geddes, Barbara L Pruetz, Rajwant Malhotra, Richard Keidan, George D Wilson
{"title":"Gene expression differences predict treatment outcome of merkel cell carcinoma patients.","authors":"Loren Masterson, Bryan J Thibodeau, Laura E Fortier, Timothy J Geddes, Barbara L Pruetz, Rajwant Malhotra, Richard Keidan, George D Wilson","doi":"10.1155/2014/596459","DOIUrl":null,"url":null,"abstract":"<p><p>Due to the rarity of Merkel cell carcinoma (MCC), prospective clinical trials have not been practical. This study aimed to identify biomarkers with prognostic significance. While sixty-two patients were identified who were treated for MCC at our institution, only seventeen patients had adequate formalin-fixed paraffin-embedded archival tissue and followup to be included in the study. Patients were stratified into good, moderate, or poor prognosis. Laser capture microdissection was used to isolate tumor cells for subsequent RNA isolation and gene expression analysis with Affymetrix GeneChip Human Exon 1.0 ST arrays. Among the 191 genes demonstrating significant differential expression between prognostic groups, keratin 20 and neurofilament protein have previously been identified in studies of MCC and were significantly upregulated in tumors from patients with a poor prognosis. Immunohistochemistry further established that keratin 20 was overexpressed in the poor prognosis tumors. In addition, novel genes of interest such as phospholipase A2 group X, kinesin family member 3A, tumor protein D52, mucin 1, and KIT were upregulated in specimens from patients with poor prognosis. Our pilot study identified several gene expression differences which could be used in the future as prognostic biomarkers in MCC patients. </p>","PeriodicalId":17172,"journal":{"name":"Journal of Skin Cancer","volume":"2014 ","pages":"596459"},"PeriodicalIF":1.2000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2014/596459","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Skin Cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2014/596459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2014/1/30 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"DERMATOLOGY","Score":null,"Total":0}
引用次数: 9
Abstract
Due to the rarity of Merkel cell carcinoma (MCC), prospective clinical trials have not been practical. This study aimed to identify biomarkers with prognostic significance. While sixty-two patients were identified who were treated for MCC at our institution, only seventeen patients had adequate formalin-fixed paraffin-embedded archival tissue and followup to be included in the study. Patients were stratified into good, moderate, or poor prognosis. Laser capture microdissection was used to isolate tumor cells for subsequent RNA isolation and gene expression analysis with Affymetrix GeneChip Human Exon 1.0 ST arrays. Among the 191 genes demonstrating significant differential expression between prognostic groups, keratin 20 and neurofilament protein have previously been identified in studies of MCC and were significantly upregulated in tumors from patients with a poor prognosis. Immunohistochemistry further established that keratin 20 was overexpressed in the poor prognosis tumors. In addition, novel genes of interest such as phospholipase A2 group X, kinesin family member 3A, tumor protein D52, mucin 1, and KIT were upregulated in specimens from patients with poor prognosis. Our pilot study identified several gene expression differences which could be used in the future as prognostic biomarkers in MCC patients.
期刊介绍:
Journal of Skin Cancer is a peer-reviewed, Open Access journal that publishes clinical and translational research on the detection, diagnosis, prevention, and treatment of skin malignancies. The journal encourages the submission of original research articles, review articles, and clinical studies related to pathology, prognostic indicators and biomarkers, novel therapies, as well as drug sensitivity and resistance.