Literature DB >> 17420468

Lung metastasis genes couple breast tumor size and metastatic spread.

Andy J Minn1, Gaorav P Gupta, David Padua, Paula Bos, Don X Nguyen, Dimitry Nuyten, Bas Kreike, Yi Zhang, Yixin Wang, Hemant Ishwaran, John A Foekens, Marc van de Vijver, Joan Massagué.   

Abstract

The association between large tumor size and metastatic risk in a majority of clinical cancers has led to questions as to whether these observations are causally related or whether one is simply a marker for the other. This is partly due to an uncertainty about how metastasis-promoting gene expression changes can arise in primary tumors. We investigated this question through the analysis of a previously defined "lung metastasis gene-expression signature" (LMS) that mediates experimental breast cancer metastasis selectively to the lung and is expressed by primary human breast cancer with a high risk for developing lung metastasis. Experimentally, we demonstrate that the LMS promotes primary tumor growth that enriches for LMS(+) cells, and it allows for intravasation after reaching a critical tumor size. Clinically, this corresponds to LMS(+) tumors being larger at diagnosis compared with LMS(-) tumors and to a marked rise in the incidence of metastasis after LMS(+) tumors reach 2 cm. Patients with LMS-expressing primary tumors selectively fail in the lung compared with the bone or other visceral sites and have a worse overall survival. The mechanistic linkage between metastasis gene expression, accelerated tumor growth, and likelihood of metastatic recurrence provided by the LMS may help to explain observations of prognostic gene signatures in primary cancer and how tumor growth can both lead to metastasis and be a marker for cells destined to metastasize.

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Year:  2007        PMID: 17420468      PMCID: PMC1871856          DOI: 10.1073/pnas.0701138104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

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4.  Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.

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  178 in total

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5.  Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing.

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Review 7.  Role of the CXCR4/CXCL12 signaling axis in breast cancer metastasis to the brain.

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Review 9.  Influence of diet on metastasis and tumor dormancy.

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10.  Increased levels of urinary PGE-M, a biomarker of inflammation, occur in association with obesity, aging, and lung metastases in patients with breast cancer.

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