Gene expression patterns in human liver cancers

Xin Chen;Siu Tim Cheung;Samuel So;上达 范;Christopher Barry;John Higgins;Kin Man Lai;加孚 季;Sandrine Dudoit;Irene O.L. Ng;Matt Van de Rijn;David Botstein;Patrick O. Brown

Stanford University

发表时间:2002

期 刊:Molecular Biology of the Cell

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=0035985214&partnerID=8YFLogxK

摘要

Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 over-expression.

相关科学

生物化学、遗传学和分子生物学
细胞生物学
分子生物学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 7.716 1.319
2000 7.074 1.366
2001 6.284 1.342
2002 6.398 1.396
2003 7.051 1.384
2004 6.633 1.432
2005 6.119 1.428
2006 6.179 1.37
2007 6.115 1.34
2008 5.914 1.278
2009 5.862 1.294
2010 5.703 1.291
2011 10 4.901 1.223
2012 9.2 4.182 1.188
2013 8.4 4.065 1.187
2014 8.3 3.692 1.113
2015 7.7 3.639 1.093
2016 7 2.922 0.963
2017 6.8 2.935 0.949
2018 6.6 2.782 0.949
2019 6.8 2.64 1.011
2020 6.9
2021

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