ArticleThe Journal of molecular diagnostics : JMD2008
Interlaboratory performance of a microarray-based gene expression test to determine tissue of origin in poorly differentiated and undifferentiated cancers.
Article in The Journal of molecular diagnostics : JMD, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Gene expression profiling identifies responsive patients with cancer of unknown primary treated with carboplatin, paclitaxel, and everolimus: NCCTG N0871 (alliance).Annals of oncology : official journal of the European Society for Medical Oncology · 2016Trial
- Review
- 2018 consensus statement by the Spanish Society of Pathology and the Spanish Society of Medical Oncology on the diagnosis and treatment of cancer of unknown primary.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018Review
- The Potential Clinical and Economic Value of Primary Tumour Identification in Metastatic Cancer of Unknown Primary Tumour: A Population-Based Retrospective Matched Cohort Study.PharmacoEconomics - open · 2018Article
- Cost-effectiveness of using a gene expression profiling test to aid in identifying the primary tumour in patients with cancer of unknown primary.The pharmacogenomics journal · 2017Article
- Pan-cancer transcriptome analysis reveals a gene expression signature for the identification of tumor tissue origin.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2016Article
- Gene expression profiling in patients with carcinoma of unknown primary site: from translational research to standard of care.Virchows Archiv : an international journal of pathology · 2014Review
- Overview of various techniques/platforms with critical evaluation of each.Current treatment options in oncology · 2013Review
- Proteomic Workflows for Biomarker Identification Using Mass Spectrometry - Technical and Statistical Considerations during Initial Discovery.Proteomes · 2013Review
- Discovery and validation of gene classifiers for endocrine-disrupting chemicals in zebrafish (danio rerio).BMC genomics · 2012Article
- Occult breast cancer presenting as metastatic adenocarcinoma of unknown primary: clinical presentation, immunohistochemistry, and molecular analysis.Case reports in oncology · 2012Article
- Article
- Classification of unknown primary tumors with a data-driven method based on a large microarray reference database.Genome medicine · 2011Article
- Localization of sporadic neuroendocrine tumors by gene expression analysis of their metastases.Clinical & experimental metastasis · 2011Article
- MicroRNA profiling for the identification of cancers with unknown primary tissue-of-origin.The Journal of pathology · 2011Article
- Human asthma phenotypes: from the clinic, to cytokines, and back again.Immunological reviews · 2011Review
- Evaluation of a gene expression microarray-based assay to determine tissue type of origin on a diverse set of 49 malignancies.The American journal of surgical pathology · 2011Article
- Clinical presentation of carcinoma of unknown primary: 14 years of experience.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2011Article
- Validation and reproducibility of a microarray-based gene expression test for tumor identification in formalin-fixed, paraffin-embedded specimens.The Journal of molecular diagnostics : JMD · 2011Article
- Predicting the site of origin of tumors by a gene expression signature derived from normal tissues.Oncogene · 2010Article
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical workup of metastatic malignancies of unknown origin is often arduous and expensive and is reported to be unsuccessful in 30 to 60% of cases. Accurate classification of uncertain primary cancers may improve with microarray-based gene expression testing. We evaluated the analytical performance characteristics of the Pathwork tissue of origin test, which uses expression signals from 1668 probe sets in a gene expression microarray, to quantify the similarity of tumor specimens to 15 known tissues of origin. Sixty archived tissue specimens from poorly and undifferentiated tumors (metastatic and primary) were analyzed at four laboratories representing a wide range of preanalytical conditions (eg, personnel, reagents, instrumentation, and protocols). Cross-laboratory comparisons showed highly reproducible results between laboratories, with correlation coefficients between 0.95 to 0.97 for measurements of similarity scores, and an average 93.8% overall concordance between laboratories in terms of final tissue calls. Bland-Altman plots (mean coefficients of reproducibility of 32.48+/-3.97) and kappa statistics (kappa >0.86) also indicated a high level of agreement between laboratories. We conclude that the Pathwork tissue of origin test is a robust assay that produces consistent results in diverse laboratory conditions reflecting the preanalytical variations found in the everyday clinical practice of molecular diagnostics laboratories.
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