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10.1242/jcs.183129

http://scihub22266oqcxt.onion/10.1242/jcs.183129
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suck abstract from ncbi


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pmid27084578
      J+Cell+Sci 2016 ; 129 (9 ): 1751-8
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  • Signatures of breast cancer metastasis at a glance #MMPMID27084578
  • Karagiannis GS ; Goswami S ; Jones JG ; Oktay MH ; Condeelis JS
  • J Cell Sci 2016[May]; 129 (9 ): 1751-8 PMID27084578 show ga
  • Gene expression profiling has yielded expression signatures from which prognostic tests can be derived to facilitate clinical decision making in breast cancer patients. Some of these signatures are based on profiling of whole tumor tissue (tissue signatures), which includes all tumor and stromal cells. Prognostic markers have also been derived from the profiling of metastasizing tumor cells, including circulating tumor cells (CTCs) and migratory-disseminating tumor cells within the primary tumor. The metastasis signatures based on CTCs and migratory-disseminating tumor cells have greater potential for unraveling cell biology insights and mechanistic underpinnings of tumor cell dissemination and metastasis. Of clinical interest is the promise that stratification of patients into high or low metastatic risk, as well as assessing the need for cytotoxic therapy, might be improved if prognostics derived from these two types of signatures are used in a combined way. The aim of this Cell Science at a Glance article and accompanying poster is to navigate through both types of signatures and their derived prognostics, as well as to highlight biological insights and clinical applications that could be derived from them, especially when they are used in combination.
  • |*Biomarkers, Tumor/genetics/metabolism [MESH]
  • |*Breast Neoplasms/diagnosis/genetics/metabolism/pathology [MESH]
  • |*Neoplastic Cells, Circulating/metabolism/pathology [MESH]
  • |Cell Movement/*genetics [MESH]
  • |Female [MESH]
  • |Humans [MESH]
  • |Prognosis [MESH]


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