Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Adv Exp Med Biol ; 1068: 45-58, 2018.
Article in English | MEDLINE | ID: mdl-29943295

ABSTRACT

Cancer cells that have shed from the primary tumor are able to invade into surrounding tissues, to intravasate into the bloodstream to become circulating tumor cells (CTCs), at least one part of that cells will be able to generate distant metastases. The discovery of CTCs has improved the study of cancer disease as it represents a non invasive biopsy that can be used as prognostic and prediction biomarkers. Tumour heterogeneity is a concept related to differences in tumor cells within the same tumor or between tumours in terms of genetic and phenotypic profiles, such as morphology, metabolic activity, proliferation rate, migration and metastatic abilities. Characterization of heterogeneity among CTCs at the single cell level may be useful to better understand the causes and progression of disease and for an accurate selection of molecular prognostic/prediction markers. In this chapter we aimed to describe methods for CTC enrichment and isolation as well as current methodologies for single cell analysis at different levels, including RNA, DNA, protein and epigenetic events. Finally we wanted to stress clinical and biological importance of single CTC analysis by reviewing some studies carried out in different cancer subtypes.


Subject(s)
Neoplastic Cells, Circulating/chemistry , Single-Cell Analysis/methods , Animals , DNA/genetics , DNA/metabolism , Humans , Neoplasms/genetics , Neoplasms/metabolism , Neoplastic Cells, Circulating/metabolism , RNA/genetics , RNA/metabolism
2.
Carcinogenesis ; 33(9): 1707-16, 2012 Sep.
Article in English | MEDLINE | ID: mdl-22696598

ABSTRACT

The purpose of this study was to identify molecular markers associated with tumor recurrence and survival in patients with locally advanced head and neck squamous cell carcinoma (HNSCC). We studied the expression profile of 63 pre-treatment tumor biopsies obtained from locally advanced HNSCCs treated with standard treatments. Cluster analysis identified three tumor subtypes associated with significant differences in local recurrence-free survival (LRFS) (P<0.001), progression free-survival (PFS) (P<0.009) and overall survival (OS) (P<0.004). Tumor subtype 1, associated with short LRFS, PFS and OS, showed features of epithelial-mesenchymal transition and undifferentiation. It also overexpressed genes involved in cell adhesion, NF-κB and integrin signalling. Tumor subtype 3, associated with longer LRFS, PFS and OS, showed a high degree of differentiation and overexpressed genes located in chromosomal regions 19q13 and 1q21. Tumor subtype 2, which had an intermediate clinical outcome between subtype 1 and subtype 3, overexpressed genes involved in branching morphogenesis. Finally, we validated the association between gene cluster classification and patient survival using Gene Set Enrichment Analysis and two HNSCC data sets obtained from two independent patient cohorts. In conclusion, we generated a gene prognostic signature associated with survival in locally advanced patients using the expression profile of the pre-treatment tumor biopsy. Independent prospective studies would be necessary to assess if the proposed survival signature could help to guide clinical management of HNSCC.


Subject(s)
Carcinoma, Squamous Cell/genetics , Gene Expression Profiling , Head and Neck Neoplasms/genetics , Cluster Analysis , Disease-Free Survival , Female , Head and Neck Neoplasms/mortality , Head and Neck Neoplasms/pathology , Humans , Male , Neoplasm Recurrence, Local/genetics , Prognosis , Proportional Hazards Models , Squamous Cell Carcinoma of Head and Neck
SELECTION OF CITATIONS
SEARCH DETAIL
...