Literature DB >> 16372253

Advances in molecular classification of renal neoplasms.

Q Yin-Goen1, J Dale, W-L Yang, J Phan, R Moffitt, J A Petros, M W Datta, M B Amin, M D Wang, A N Young.   

Abstract

Kidney neoplasms are classified by light microscopy using the World Health Organization (WHO) system. The WHO system defines histopathologic tumor subtypes with distinct clinical behavior and underlying genetic mutations. In adults, the common malignant subtypes are variants of renal cell carcinoma (RCC). Histopathologic classification is critical for clinical management of RCC, but is becoming more complex with recognition of novel tumor subtypes, development of procedures yielding small diagnostic biopsies, and emergence of molecular therapies directed at tumor gene activity. Therefore, classification systems based on gene expression are likely to become essential for diagnosis, prognosis and treatment of kidney tumors. Recent DNA microarray studies have shown that clinically relevant renal tumor subtypes are characterized by distinct gene expression profiles, which are useful for discovery of novel diagnostic and prognostic biomarkers. In this review, we summarize the WHO classification system for renal tumors, general applications of microarray technology in cancer research, and specific microarray studies that have advanced knowledge of renal tumor diagnosis, prognosis, therapy and pathobiology.

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Year:  2006        PMID: 16372253     DOI: 10.14670/HH-21.325

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  5 in total

1.  Immunohistochemical marker panel differentiates between the three most common subtypes of renal cell carcinoma independent from histomorphologic criteria.

Authors:  B Walter; A Hartmann; F Hofstädter; K Junker; H Moch; S Bertz; S Denzinger; W Otto; M Gajda; C G Stoehr
Journal:  Virchows Arch       Date:  2012-02-17       Impact factor: 4.064

2.  Automated classification of renal cell carcinoma subtypes using scale invariant feature transform.

Authors:  S Raza; Yachna Sharma; Qaiser Chaudry; Andrew N Young; May D Wang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

Review 3.  The changing face of renal cell carcinoma pathology.

Authors:  Hakan Aydin; Ming Zhou
Journal:  Curr Oncol Rep       Date:  2008-05       Impact factor: 5.075

Review 4.  Genomic Analysis as the First Step toward Personalized Treatment in Renal Cell Carcinoma.

Authors:  Zofia Felicja Bielecka; Anna Małgorzata Czarnecka; Cezary Szczylik
Journal:  Front Oncol       Date:  2014-07-25       Impact factor: 6.244

5.  Identification of sepsis subtypes in critically ill adults using gene expression profiling.

Authors:  David M Maslove; Benjamin M Tang; Anthony S McLean
Journal:  Crit Care       Date:  2012-10-04       Impact factor: 9.097

  5 in total

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