Cancer invasion and the microenvironment: plasticity and reciprocity.
By Peter Friedl, Stephanie Alexander. 2011
1,904 citations recorded by the source corpus.
Subfields: Cell Biology, Immunology and Allergy, Oncology, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cell Biology
- Huan H. Cao
- J. Condeelis
- Erik H. W. Meijering
- Oleh Dzyubachyk
- Lixia Duan
- Jun Cao
- Peter C. Searson
- Yan Zhang
In Immunology and Allergy
In Oncology
- Peter C. Searson
- J. Condeelis
- Lin Zhang
- Dihua Yu
- Helen M. Blau
- P. Chiarugi
- Yuhe Huang
- Andrew D. Wong
In Computational Biology & Bioinformatics
Citations in the corpus
- A benchmark for comparison of cell tracking algorithms (2014, background): “The dynamics of cell movement (e.g. speed, directionality) and migration type (i.e. the morphological changes that the cell undergoes during the movement) are closely related to the biomechanical properties of the surrounding environment (Friedl and Alexander, 2011).”
- The molecular mechanisms and therapeutic strategies of EMT in tumor progression and metastasis (2022, background): “The master cell guides cells that maintain intercellular junctions to migrate in narrow lines, clusters, or broadsheets, and the phenotype of the cells is influenced differently by the following cells [164, 165].”
- Brain tumour cells interconnect to a functional and resistant network (2015, neutral): “Oligodendroglioma cell lines containing t(1;19)(q10;p10).”
- Spherical Cancer Models in Tumor Biology (2015, background): “This multicellular migration mode, or “ collective migration, ” is commonly used by carcinomas, which retain high or intermediate levels of differentiation [139].”
- Anoikis molecular pathways and its role in cancer progression. (2013, background): “MAT is typical of mesenchymal cells moving in non-stiff/rigid matrices, during selective inhibition of matrix proteases or integrin-mediated adhesions and has also been correlated with p53 or p27 loss of function mutations, all common events in progression of cancer towards malignancy [68,69].”
- Microenvironment-induced PTEN loss by exosomal microRNA primes brain metastasis outgrowth (2015, background): “The remarkable phenotypic plasticity observed in metastasis is indicative of co-evolution occurring at specific metastatic organ microenvironments 5,6 .”
- Opportunities and Challenges for use of Tumor Spheroids as Models to Test Drug Delivery and Efficacy (2012, positive): “Interactions of cancer cells with the cellular and acellular components of their stroma control the growth and malignant behavior of invasive cancer [82] and should be included in at least rudimentary form in tumor models used in screening anti-cancer drug candidates.”
- MYC/BCL2 protein coexpression contributes to the inferior survival of activated B-cell subtype of diffuse large B-cell lymphoma and demonstrates high-risk gene expression signatures: a report from The International DLBCL Rituximab-CHOP Consortium Program. (2013, background): “A cell-adhesion signature has not been described in lymphoma to date although its role in the invasion of solid tumors is wellestablished.(36) Presumably, the lack of cell-cell and cell-matrix adhesions might play a role in the high frequency of advanced stage of disease and involvement of multiple ”
- In Vitro Tumor Models: Advantages, Disadvantages, Variables, and Selecting the Right Platform (2016, background): “Invasion refers to the migration of cells in a 3D ECM (Friedl and Alexander, 2011; Friedl et al., 2012a).”