Implementation of a novel microarray-based diagnostic test for cancer of unknown primary
- PMID: 19536816
- DOI: 10.1002/ijc.24504
Implementation of a novel microarray-based diagnostic test for cancer of unknown primary
Abstract
Patients with carcinoma of unknown primary (CUP) present with metastatic disease for which the primary site cannot be found, despite extensive standard investigation. Here, we describe the development and implementation of the first clinically available microarray-based test for this cancer type (CUPPrint), based on 633 individual tumors representing 30 carcinoma and 17 noncarcinoma classes. Tissue of origin prediction for either fresh frozen or paraffin-embedded tumor samples is achieved with the use of a custom 8-pack 1.9k microarray and robust classification algorithm. An expression profile of 495 genes was used to predict tumor origin by applying a k-nearest neighbor algorithm. Internal cross-validation and analysis of an independent, previously published, 229-sample dataset revealed that clinically informative predictions were made for up to 94% of samples analyzed. Analysis of 13 previously published CUP specimens yielded predicted tumor origins that supported the clinical suspicion in 12 cases (92%). Microarray profiling presents a promising tool to assist in the identification of the primary tumor and might direct a more tailored treatment for CUP patients.
2009 UICC
Similar articles
-
Efficient identification of miRNAs for classification of tumor origin.J Mol Diagn. 2014 Jan;16(1):106-15. doi: 10.1016/j.jmoldx.2013.10.001. Epub 2013 Nov 5. J Mol Diagn. 2014. PMID: 24211363
-
An expression-based site of origin diagnostic method designed for clinical application to cancer of unknown origin.Cancer Res. 2005 May 15;65(10):4031-40. doi: 10.1158/0008-5472.CAN-04-3617. Cancer Res. 2005. PMID: 15899792
-
Identification of tissue of origin in carcinoma of unknown primary with a microarray-based gene expression test.Diagn Pathol. 2010 Jan 13;5:3. doi: 10.1186/1746-1596-5-3. Diagn Pathol. 2010. PMID: 20205775 Free PMC article.
-
[Molecular diagnostic methods designed for clinical approach to cancer of unknown origin].Gan To Kagaku Ryoho. 2009 Jun;36(6):923-6. Gan To Kagaku Ryoho. 2009. PMID: 19542713 Review. Japanese.
-
Cancer of Unknown Primary origin in the genomic era: Elucidating the dark box of cancer.Cancer Treat Rev. 2015 Jul;41(7):598-604. doi: 10.1016/j.ctrv.2015.05.010. Epub 2015 May 28. Cancer Treat Rev. 2015. PMID: 26033502 Review.
Cited by
-
Classification of unknown primary tumors with a data-driven method based on a large microarray reference database.Genome Med. 2011 Oct 17;3(9):63. doi: 10.1186/gm279. Genome Med. 2011. PMID: 21955394 Free PMC article.
-
Opposing Wnt signals regulate cervical squamocolumnar homeostasis and emergence of metaplasia.Nat Cell Biol. 2021 Feb;23(2):184-197. doi: 10.1038/s41556-020-00619-0. Epub 2021 Jan 18. Nat Cell Biol. 2021. PMID: 33462395 Free PMC article.
-
Comparison of histopathological and gene expression-based typing of cancer of unknown primary.Virchows Arch. 2010 Jan;456(1):23-9. doi: 10.1007/s00428-009-0867-y. Epub 2009 Dec 10. Virchows Arch. 2010. PMID: 20012089
-
A 20-gene model for molecular nodal staging of bladder cancer: development and prospective assessment.Lancet Oncol. 2011 Feb;12(2):137-43. doi: 10.1016/S1470-2045(10)70296-5. Epub 2011 Jan 20. Lancet Oncol. 2011. PMID: 21256081 Free PMC article.
-
A high-throughput method to detect RNA profiling by integration of RT-MLPA with next generation sequencing technology.Oncotarget. 2017 Jul 11;8(28):46071-46080. doi: 10.18632/oncotarget.17551. Oncotarget. 2017. PMID: 28545022 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
