Literature DB >> 9507884

Identification of nuclear matrix protein alterations associated with renal cell carcinoma.

B R Konety1, A K Nangia, T S Nguyen, B N Veitmeier, R Dhir, J S Acierno, M J Becich, R L Hrebinko, R H Getzenberg.   

Abstract

PURPOSE: Neoplastic transformation, including renal cell carcinoma (RCC), is always accompanied by changes in nuclear morphology. Nuclear grading of RCC is based on characteristic alterations in nuclear shape, size, area and other morphologic parameters. The nuclear matrix, which forms the skeleton of the nucleus, determines nuclear morphology. Alterations in nuclear matrix protein (NMP) composition specific to tissue and cancer type have been described in a variety of human cancers. We conducted a study to analyze the nuclear matrix protein composition of renal cell carcinoma and compare it to that of normal renal tissue and renal cell carcinoma cells grown in culture.
MATERIALS AND METHODS: We analyzed the nuclear matrix protein composition of RCC tumor tissue and that of normal kidney tissue obtained from seventeen patients undergoing radical nephrectomy for RCC. We also analyzed the NMP composition of two renal cancer cell lines (A-498 and 769-P).
RESULTS: We were able to identify five different and unique NMPs which were present only in the human RCC tumor samples and were absent in all normal kidney tissue. One NMP was found specifically in the normal kidney tissue. All five RCC specific NMPs were also identified in the nuclear matrix of the two cell lines analyzed.
CONCLUSIONS: Five nuclear matrix proteins specific and unique to RCC were identified. These NMPs are different from those previously identified in other tissues and neoplasms. The RCC specific NMPs identified in this study can potentially be used as diagnostic markers for renal cell carcinoma and for therapeutic tumor targeting.

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Year:  1998        PMID: 9507884

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  3 in total

Review 1.  Nuclear structure as a source of cancer specific biomarkers.

Authors:  Eddy S Leman; Robert H Getzenberg
Journal:  J Cell Biochem       Date:  2008-08-15       Impact factor: 4.429

2.  Relationships of hHpr1/p84/Thoc1 expression to clinicopathologic characteristics and prognosis in non-small cell lung cancer.

Authors:  Jun Yang; Yanping Li; Thaer Khoury; Sadir Alrawi; David W Goodrich; Dongfeng Tan
Journal:  Ann Clin Lab Sci       Date:  2008       Impact factor: 1.256

3.  Non-invasive proteomics-thinking about personalized breast cancer screening and treatment.

Authors:  Manuel Debald; Matthias Wolfgarten; Gisela Walgenbach-Brünagel; Walther Kuhn; Michael Braun
Journal:  EPMA J       Date:  2010-07-14       Impact factor: 6.543

  3 in total

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