Literature DB >> 19332734

Multicenter validation of a 1,550-gene expression profile for identification of tumor tissue of origin.

Federico A Monzon1, Maureen Lyons-Weiler, Ljubomir J Buturovic, C Ted Rigl, W David Henner, Christin Sciulli, Catherine I Dumur, Fabiola Medeiros, Glenda G Anderson.   

Abstract

PURPOSE: Malignancies found in unexpected locations or with poorly differentiated morphologies can pose a significant challenge for tissue of origin determination. Current histologic and imaging techniques fail to yield definitive identification of the tissue of origin in a significant number of cases. The aim of this study was to validate a predefined 1,550-gene expression profile for this purpose.
METHODS: Four institutions processed 547 frozen specimens representing 15 tissues of origin using oligonucleotide microarrays. Half of the specimens were metastatic tumors, with the remainder being poorly differentiated and undifferentiated primary cancers chosen to resemble those that present as a clinical challenge.
RESULTS: In this blinded multicenter validation study the 1,550-gene expression profile was highly informative in tissue determination. The study found overall sensitivity (positive percent agreement with reference diagnosis) of 87.8% (95% CI, 84.7% to 90.4%) and overall specificity (negative percent agreement with reference diagnosis) of 99.4% (95% CI, 98.3% to 99.9%). Performance within the subgroup of metastatic tumors (n = 258) was found to be slightly lower than that of the poorly differentiated and undifferentiated primary tumor subgroup, 84.5% and 90.7%, respectively (P = .04). Differences between individual laboratories were not statistically significant.
CONCLUSION: This study represents the first adequately sized, multicenter validation of a gene-expression profile for tissue of origin determination restricted to poorly differentiated and undifferentiated primary cancers and metastatic tumors. These results indicate that this profile should be a valuable addition or alternative to currently available diagnostic methods for the evaluation of uncertain primary cancers.

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Year:  2009        PMID: 19332734     DOI: 10.1200/JCO.2008.17.9762

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  64 in total

1.  MicroRNA profiling for the identification of cancers with unknown primary tissue-of-origin.

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Journal:  J Pathol       Date:  2011-06-01       Impact factor: 7.996

2.  Three differentiation states risk-stratify bladder cancer into distinct subtypes.

Authors:  Jens-Peter Volkmer; Debashis Sahoo; Robert K Chin; Philip Levy Ho; Chad Tang; Antonina V Kurtova; Stephen B Willingham; Senthil K Pazhanisamy; Humberto Contreras-Trujillo; Theresa A Storm; Yair Lotan; Andrew H Beck; Benjamin I Chung; Ash A Alizadeh; Guilherme Godoy; Seth P Lerner; Matt van de Rijn; Linda D Shortliffe; Irving L Weissman; Keith S Chan
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-19       Impact factor: 11.205

Review 3.  Molecular diagnosis of the tissue of origin in cancer of unknown primary site: useful in patient management.

Authors:  F Anthony Greco
Journal:  Curr Treat Options Oncol       Date:  2013-12

4.  The clinical significance of occult gynecologic primary tumours in metastatic cancer.

Authors:  M B Hannouf; E Winquist; S M Mahmud; M Brackstone; S Sarma; G Rodrigues; P K Rogan; J S Hoch; G S Zaric
Journal:  Curr Oncol       Date:  2017-10-25       Impact factor: 3.677

5.  Identification of tissue of origin in carcinoma of unknown primary with a microarray-based gene expression test.

Authors:  Federico A Monzon; Fabiola Medeiros; Maureen Lyons-Weiler; W David Henner
Journal:  Diagn Pathol       Date:  2010-01-13       Impact factor: 2.644

6.  High precision prediction of functional sites in protein structures.

Authors:  Ljubomir Buturovic; Mike Wong; Grace W Tang; Russ B Altman; Dragutin Petkovic
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

7.  Gene expression profiles help identify the tissue of origin for metastatic brain cancers.

Authors:  Alan H B Wu; Julia C Drees; Hangpin Wang; Scott R VandenBerg; Anita Lal; William D Henner; Raji Pillai
Journal:  Diagn Pathol       Date:  2010-04-26       Impact factor: 2.644

8.  Methodological deficits in diagnostic research using '-omics' technologies: evaluation of the QUADOMICS tool and quality of recently published studies.

Authors:  Lucy A Parker; Noemí Gómez Saez; Blanca Lumbreras; Miquel Porta; Ildefonso Hernández-Aguado
Journal:  PLoS One       Date:  2010-07-02       Impact factor: 3.240

9.  A genomic and transcriptomic approach for a differential diagnosis between primary and secondary ovarian carcinomas in patients with a previous history of breast cancer.

Authors:  Jean-Philippe Meyniel; Paul H Cottu; Charles Decraene; Marc-Henri Stern; Jérôme Couturier; Ingrid Lebigot; André Nicolas; Nina Weber; Virginie Fourchotte; Séverine Alran; Audrey Rapinat; David Gentien; Sergio Roman-Roman; Laurent Mignot; Xavier Sastre-Garau
Journal:  BMC Cancer       Date:  2010-05-21       Impact factor: 4.430

10.  Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions.

Authors:  Rong Chen; Tara K Sigdel; Li Li; Neeraja Kambham; Joel T Dudley; Szu-Chuan Hsieh; R Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A Morgan; Hannah A Valantine; Kiran K Khush; Minnie M Sarwal; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

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