Literature DB >> 12808139

From latent disseminated cells to overt metastasis: genetic analysis of systemic breast cancer progression.

Oleg Schmidt-Kittler1, Thomas Ragg, Angela Daskalakis, Martin Granzow, Andre Ahr, Thomas J F Blankenstein, Manfred Kaufmann, Joachim Diebold, Hans Arnholdt, Peter Muller, Joachim Bischoff, Detlev Harich, Gunter Schlimok, Gert Riethmuller, Roland Eils, Christoph A Klein.   

Abstract

According to the present view, metastasis marks the end in a sequence of genomic changes underlying the progression of an epithelial cell to a lethal cancer. Here, we aimed to find out at what stage of tumor development transformed cells leave the primary tumor and whether a defined genotype corresponds to metastatic disease. To this end, we isolated single disseminated cancer cells from bone marrow of breast cancer patients and performed single-cell comparative genomic hybridization. We analyzed disseminated tumor cells from patients after curative resection of the primary tumor (stage M0), as presumptive progenitors of manifest metastasis, and from patients with manifest metastasis (stage M1). Their genomic data were compared with those from microdissected areas of matched primary tumors. Disseminated cells from M0-stage patients displayed significantly fewer chromosomal aberrations than primary tumors or cells from M1-stage patients (P < 0.008 and P < 0.0001, respectively), and their aberrations appeared to be randomly generated. In contrast, primary tumors and M1 cells harbored different and characteristic chromosomal imbalances. Moreover, applying machine-learning methods for the classification of the genotypes, we could correctly identify the presence or absence of metastatic disease in a patient on the basis of a single-cell genome. We suggest that in breast cancer, tumor cells may disseminate in a far less progressed genomic state than previously thought, and that they acquire genomic aberrations typical of metastatic cells thereafter. Thus, our data challenge the widely held view that the precursors of metastasis are derived from the most advanced clone within the primary tumor.

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Year:  2003        PMID: 12808139      PMCID: PMC164657          DOI: 10.1073/pnas.1331931100

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


  34 in total

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Authors:  Nikolas H Stoecklein; Andreas Erbersdobler; Oleg Schmidt-Kittler; Joachim Diebold; Julian A Schardt; Jakob R Izbicki; Christoph A Klein
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Authors:  C W Cheng; P E Wu; J C Yu; C S Huang; C T Yue; C W Wu; C Y Shen
Journal:  Oncogene       Date:  2001-06-28       Impact factor: 9.867

3.  Gene expression profiling predicts clinical outcome of breast cancer.

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Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

Review 4.  The mitotic machinery as a source of genetic instability in cancer.

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5.  Epithelial cells in bone marrow of breast cancer patients at time of primary surgery: clinical outcome during long-term follow-up.

Authors:  G Gebauer; T Fehm; E Merkle; E P Beck; N Lang; W Jäger
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Review 6.  Early cancer cell dissemination and late metastatic relapse: clinical reflections and biological approaches to the dormancy problem in patients.

Authors:  G Riethmüller; C A Klein
Journal:  Semin Cancer Biol       Date:  2001-08       Impact factor: 15.707

7.  Combined transcriptome and genome analysis of single micrometastatic cells.

Authors:  Christoph A Klein; Stefan Seidl; Karina Petat-Dutter; Sonja Offner; Jochen B Geigl; Oleg Schmidt-Kittler; Nicole Wendler; Bernward Passlick; Rudolf M Huber; Günter Schlimok; Patrick A Baeuerle; Gert Riethmüller
Journal:  Nat Biotechnol       Date:  2002-04       Impact factor: 54.908

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Review 9.  Coping with complexity. multivariate analysis of tumor karyotypes.

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  224 in total

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Review 6.  Life history trade-offs in cancer evolution.

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Journal:  Nat Rev Cancer       Date:  2013-11-11       Impact factor: 60.716

7.  Biological resonance for cancer metastasis, a new hypothesis based on comparisons between primary cancers and metastases.

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8.  Selection and adaptation during metastatic cancer progression.

Authors:  Christoph A Klein
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Review 9.  Tumour heterogeneity and metastasis at single-cell resolution.

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Review 10.  Lymphatic metastasis in breast cancer: importance and new insights into cellular and molecular mechanisms.

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Journal:  Clin Exp Metastasis       Date:  2007-11-06       Impact factor: 5.150

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