Stem cell concepts renew cancer research.
By J. Dick. Blood, 2008
1,119 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Oncology, Physiology
View Paper: https://www.semanticscholar.org/paper/5d903200dab3fd9af5f803f4a53ce42f7a41e784
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Hans Clevers
- S. Morrison
- Louis Vermeulen
- E. Fessler
- J. Medema
- F. D. S. E. Melo
- M. Greaves
- Antonija Krešo
In Oncology
In Physiology
- Hans Clevers
- S. Morrison
- Louis Vermeulen
- E. Fessler
- J. Medema
- F. D. S. E. Melo
- M. Greaves
- Antonija Krešo
Citations in the corpus
- Slug and Sox9 Cooperatively Determine the Mammary Stem Cell State (2012, background): “Although accumulating evidence has begun to support this notion (Dick, 2008; Lessard and Sauvageau, 2003; Lobo et al., 2007; Reya et al., 2001; Shimono et al., 2009), direct evidence has remained scarce thus far.”
- The cancer stem cell: premises, promises and challenges (2011, background): “History Stem cell concepts and their application to cancer are many decades ol”
- HIV reservoir size and persistence are driven by T cell survival and homeostatic proliferation (2009, background): “New therapies should target pathways downstream of homeostatic proliferation including inhibitors of the IL-7 pathway or pathways associated with self-renewal and 'stem cell–ness', such as those developed for the treatment of leukemias and cancer”
- Residual breast cancers after conventional therapy display mesenchymal as well as tumor-initiating features (2009, background): “In particular, it has been suggested that a small subpopulation of cells within tumors, often designated as ‘‘tumor-initiating cells’’ or ‘‘cancer stem cells,’’ may be resistant to therapy and hence may reinitiate tumor growth after treatment (1).”
- MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer (2015, background): “Leukemia stem cells (LSCs) in acute myeloid leukemia (AML) are the first and best characterized CSCs, often providing a working template for other types of cancers [120].”
- RNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemia (2011, background): “One key event in AML initiation is the corruption of cell-fate programs to generate leukaemia stem cells that aberrantly self-renew and thereby maintain and propagate the diseas”
- Evolution of the cancer stem cell model. (2014, background): “…nongenetic determinants, largely related to developmental pathways and epigenetic mod-ifications (DNA methylation, histone modification, chromatin openness, microRNA [miRNA], and other noncoding RNA) contribute to functional heterogeneity (Dick, 2008; Meacham and Morrison, 2013; Nguyen et al., 2012).”
- Cancer heterogeneity—a multifaceted view (2013, positive): “The second, and more recent theory is based on the realization that subsets of tumour cells inherently have a dissimilar ability to drive tumour growth and meta stasis [7,8].”
- Heterogeneity in cancer: cancer stem cells versus clonal evolution. (2009, background): “…was introduced to describe cancers in which intrinsic epigenetic differences among cancer cells cause these cells to reside in a hierarchy of tumorigenic and nontumorigenic cells (Reya et al., 2001; Dick, 2008), the term cancer stem cell is now used so promiscuously as to threaten any meaning.”
- Tumor heterogeneity: causes and consequences (2009, background): “Human cancers frequently display substantial intra-tumor heterogeneity in virtually all distinguishable phenotypic features, such as cellular morphology, gene expression (including the expression of cell surface markers and growth factor and hormonal receptors), metabolism, motility, and angiogenic,”
- SSEA-1 Is an Enrichment Marker for Tumor-Initiating Cells in Human Glioblastoma (2009, background): “Similar to hematopoietic stem cells, probably the most thoroughly characterized stem cell population, a combination of markers will ultimately best define glioma TSCs/TICs (Dick, 2008; Kim et al., 2006; Weissman et al., 2001).”
- Stem cell gene expression programs influence clinical outcome in human leukemia (2011, background): “2415" language="eng" relation="no"> The CSC model posits that many cancers are organized hierarchically and sustained by a subpopulation of CSCs at the apex that have self-renewal capacit”
- Immune evasion in cancer: Mechanistic basis and therapeutic strategies. (2015, background): “behavior such as proliferation rate, antigen expression, drug response and metabolic potential 238 [70-74].”
- CLONAL EVOLUTION IN CANCER (2012, background): “The cancer stem-cell hypothesis was developed through transplantation experiments with leukaemic cell”