| Literature DB >> 16825504 |
Dimitri Talantov1, Jonathan Baden, Tim Jatkoe, Kristina Hahn, Jack Yu, Yashoda Rajpurohit, Yiqiu Jiang, Chang Choi, Jeffrey S Ross, David Atkins, Yixin Wang, Abhijit Mazumder.
Abstract
Identifying the primary site in patients with metastatic carcinoma of unknown primary origin can enable more specific therapeutic regimens and may prolong survival. Twenty-three putative tissue-specific markers for lung, colon, pancreatic, breast, prostate, and ovarian carcinomas were nominated by querying a gene expression profile database and by performing a literature search. Ten of these marker candidates were then selected based on validation by reverse transcriptase-polymerase chain reaction (RT-PCR) on 205 formalin-fixed, paraffin-embedded metastatic carcinoma specimens originating from these six and from other cancer types. Next, we optimized the RNA isolation and quantitative RT-PCR methods for these 10 markers and applied the quantitative RT-PCR assay to a set of 260 metastatic tumors. We then built a gene-based algorithm that predicted the tissue of origin of metastatic carcinomas with an overall leave-one-out cross-validation accuracy of 78%. Lastly, our assay demonstrated an accuracy of 76% when tested on an independent set of 48 metastatic samples, 37 of which were either a known primary or initially presented as carcinoma of unknown primary but were subsequently resolved.Entities:
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Year: 2006 PMID: 16825504 PMCID: PMC1867609 DOI: 10.2353/jmoldx.2006.050136
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568