Literature DB >> 32057095

The stressful tumour environment drives plasticity of cell migration programmes, contributing to metastasis.

Savvas Nikolaou1, Laura M Machesky1,2.   

Abstract

Tumours evolve to cope with environmental stresses or challenges such as nutrient starvation, depletion of survival factors, and unbalanced mechanical forces. The uncontrolled growth and aberrant deregulation of core cell homeostatic pathways induced by genetic mutations create an environment of stress. Here, we explore how the adaptations of tumours to the changing environment can drive changes in the motility machinery of cells, affecting migration, invasion, and metastasis. Tumour cells can invade individually or collectively, or they can be extruded out of the surrounding epithelium. These mechanisms are thought to be modifications of normal processes occurring during development or tissue repair. Therefore, tumours may activate these pathways in response to environmental stresses, enabling them to survive in hostile environments and spread to distant sites.
© 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. © 2020 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Entities:  

Keywords:  Cdc42; Rac1; Rho GTPase; RhoA; cancer; chemotaxis; collective cell migration; durotaxis; invasion; macropinocytosis; metastasis; microenvironment

Year:  2020        PMID: 32057095     DOI: 10.1002/path.5395

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  9 in total

1.  Lower expression of PDZRN3 induces endometrial carcinoma progression via the activation of canonical Wnt signaling.

Authors:  Qiuhong Li; Jie Zhong; Shangjie Yang; Yanping Liang
Journal:  Oncol Lett       Date:  2022-01-27       Impact factor: 2.967

2.  Ezh2 promotes TRβ lysine methylation-mediated degradation in hepatocellular carcinoma.

Authors:  Su Chan Park; Ji Min Lee
Journal:  Genes Genomics       Date:  2021-12-01       Impact factor: 1.839

3.  Deep-learning-based 3D cellular force reconstruction directly from volumetric images.

Authors:  Xiaocen Duan; Jianyong Huang
Journal:  Biophys J       Date:  2022-04-28       Impact factor: 3.699

Review 4.  The pleiotropic functions of autophagy in metastasis.

Authors:  Timothy Marsh; Bhairavi Tolani; Jayanta Debnath
Journal:  J Cell Sci       Date:  2021-01-22       Impact factor: 5.285

Review 5.  Phenotypic Plasticity of Cancer Cells Based on Remodeling of the Actin Cytoskeleton and Adhesive Structures.

Authors:  Svetlana N Rubtsova; Irina Y Zhitnyak; Natalya A Gloushankova
Journal:  Int J Mol Sci       Date:  2021-02-12       Impact factor: 5.923

Review 6.  Phosphatidylcholine-Derived Lipid Mediators: The Crosstalk Between Cancer Cells and Immune Cells.

Authors:  Renata de Freitas Saito; Luciana Nogueira de Sousa Andrade; Silvina Odete Bustos; Roger Chammas
Journal:  Front Immunol       Date:  2022-02-15       Impact factor: 7.561

7.  Spontaneous transitions between amoeboid and keratocyte-like modes of migration.

Authors:  Ted Moldenhawer; Eduardo Moreno; Daniel Schindler; Sven Flemming; Matthias Holschneider; Wilhelm Huisinga; Sergio Alonso; Carsten Beta
Journal:  Front Cell Dev Biol       Date:  2022-09-30

8.  Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma.

Authors:  Assaf Zaritsky; Andrew R Jamieson; Erik S Welf; Andres Nevarez; Justin Cillay; Ugur Eskiocak; Brandi L Cantarel; Gaudenz Danuser
Journal:  Cell Syst       Date:  2021-06-01       Impact factor: 11.091

Review 9.  Metabolic Potential of Cancer Cells in Context of the Metastatic Cascade.

Authors:  Mohaned Benzarti; Catherine Delbrouck; Laura Neises; Nicole Kiweler; Johannes Meiser
Journal:  Cells       Date:  2020-09-05       Impact factor: 6.600

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.