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A quantitative reverse transcriptase-polymerase chain reaction assay to identify metastatic carcinoma tissue of origin.


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.

SUBMITTER: Talantov D 

PROVIDER: S-EPMC1867609 | biostudies-literature | 2006 Jul

REPOSITORIES: biostudies-literature

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A quantitative reverse transcriptase-polymerase chain reaction assay to identify metastatic carcinoma tissue of origin.

Talantov Dimitri D   Baden Jonathan J   Jatkoe Tim T   Hahn Kristina K   Yu Jack J   Rajpurohit Yashoda Y   Jiang Yiqiu Y   Choi Chang C   Ross Jeffrey S JS   Atkins David D   Wang Yixin Y   Mazumder Abhijit A  

The Journal of molecular diagnostics : JMD 20060701 3


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 reacti  ...[more]

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