Abstract | PURPOSE: EXPERIMENTAL DESIGN: One hundred and two resected NSCLCs were classified as SqCC or adenocarcinoma based on their histologic features and immunohistochemical profiles. Corresponding preoperative biopsies/aspirates that had been originally diagnosed as poorly differentiated NSCLCs were available for 21 cases. A quantitative reverse transcription-PCR diagnostic assay that measures the expression level of hsa-miR-205 was used to classify the carcinomas as SqCC or adenocarcinoma based solely on expression levels. The two sets of diagnoses were compared. RESULTS: Using standard pathologic methods of classification (i.e., microscopy and immunohistochemistry), 52 resected lung carcinomas were classified as SqCCs and 50 as adenocarcinomas. There was 100% concordance between the diagnoses established by conventional and miRNA-based methods. MiRNA profiling also correctly classified 20 of the 21 preoperative biopsy specimens. CONCLUSIONS:
MiRNA profiling is a highly reliable strategy for classifying NSCLCs. Indeed, classification is consistently accurate even in small biopsies/aspirates of poorly differentiated tumors. Confirmation of its reliability across the full range of tumor grades and specimen types represents an important step toward broad application.
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Authors | Justin A Bishop, Hila Benjamin, Hila Cholakh, Ayelet Chajut, Douglas P Clark, William H Westra |
Journal | Clinical cancer research : an official journal of the American Association for Cancer Research
(Clin Cancer Res)
Vol. 16
Issue 2
Pg. 610-9
(Jan 15 2010)
ISSN: 1557-3265 [Electronic] United States |
PMID | 20068099
(Publication Type: Comparative Study, Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- MicroRNAs
- Nuclear Proteins
- Thyroid Nuclear Factor 1
- Transcription Factors
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Topics |
- Adenocarcinoma
(diagnosis, pathology)
- Carcinoma, Non-Small-Cell Lung
(classification, genetics, metabolism, pathology)
- Carcinoma, Squamous Cell
(diagnosis, pathology)
- Diagnosis, Differential
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Humans
- Immunohistochemistry
- Lung Neoplasms
(classification, genetics, metabolism, pathology)
- MicroRNAs
(analysis, genetics)
- Neoplasm Staging
(methods)
- Nuclear Proteins
(metabolism)
- Sensitivity and Specificity
- Thyroid Nuclear Factor 1
- Transcription Factors
(metabolism)
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