| Literature DB >> 25611303 |
Abstract
The formation of epithelial tissues allows organisms to specialise and form tissues with diverse functions and compartmentalised environments. The tight controls on cell growth and migration required to maintain epithelia can present problems such as the development and spread of cancer when normal pathways are disrupted. By attaining a deeper understanding of how cell migration is suppressed to maintain the epithelial organisation and how it is reactivated when epithelial tissues become mesenchymal, new insights into both cancer and development can be gained. Here we discuss recent developments in our understanding of epithelial and mesenchymal regulation of the actin cytoskeleton in normal and cancerous tissue, with a focus on the pancreas and intestinal tract.Entities:
Mesh:
Year: 2015 PMID: 25611303 PMCID: PMC4333498 DOI: 10.1038/bjc.2014.658
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Figure 1Involvement of actin cytoskeletal reorganisation in EMT. Epithelial cells make tight junctions (TJ, red) that act as a permeability barrier between the outside world and the tissue and adherens juncions (AJ) that provide mechanical stability and strength by connections with the actin cytoskeleton and the transmembrane cadherin proteins. E-cadherins (green) are major scaffold proteins controlling adherens junction integrity and direct links between E-cadherins and actin nucleating proteins, such as WRC (light blue) and Arp2/3 complex (multicoloured) provide a basis for sequestering the actin nucleation machinery when cells are non-motile and also for harnessing actin nucleation to provide actin cytoskeletal scaffolding for tissue integrity. N-WASP (purple) acts with WIRE (not shown) to stabilise and bundle cortical actin filaments (Wu ). Cortactin (orange) is a scaffold, binding both N-WASP and E-cadherin to recruit ARP2/3 and WRC to adherens junctions. EMT can be driven by a number of signalling pathways (purple boxes, see text for references) that result in the activation of transcriptional programmes and alternative splicing. In mesenchymal cells, E-cadherin is lost and the actin cytoskeleton undergoes a number of changes, resulting in a shift of actin and its regulatory proteins and complexes from the cortex towards the leading edge of migrating cells, where they form lamellipodia. A specialised mesenchymal actin bundling protein, fascin, organises actin filaments at sites of filopodia and is also recruited to invadopodia, the invasive protrusions of cancer cells, along with Arp2/3 complex, cortactin and N-WASP. These changes are accompanied by the expression of mesenchymal markers such as N-cadherin, vimentin and fibronectin and a change in cell polarity (from the apico–basal polarity in epithelial cells to the front–back polarity in mesenchymal cells).
Summary of cancer studies implicating EMT markers in prognosis and outcomes for several epithelial cancers of the gastrointestinal tract
| Kroepli | 2013 | BMC Cancer | Colorectal | TMA IHC | 250 | 0.87 | NT | OS | |||
| Bellovin | 2005 | Cancer Res | Colorectal | TMA IHC | 557 | 0.0127 | Not shown | NS | OS | ||
| Knösel | 2012 | Int J Colorectal Dis | Colorectal (high grade) | TMA IHC | 402 | 0.083 | NT | OS | |||
| Yun | 2014 | Oncology | Colorectal | TMA IHC | 409 | 0.009 | 1.984 (0.539–7.296) | 0.303 | OS | ||
| Yun | 2014 | Oncology | Colorectal | TMA IHC | 409 | 0.003 | 5.098 (1.801–14.430) | 0.002 | DFS | ||
| Jie | 2013 | Dig Dis Sci | Colorectal | WTB IHC | 108 | <0.01 | NT | OS | |||
| Shioiri | 2006 | Br J Cancer | Colorectal | WTB IHC | 138 | 0.0066 | 2.249 (1.164–4.343) | 0.0158 | OS | ||
| Fujikawa | 2012 | J Gastroenterol | Colorectal | qPCR | 102 | <0.01 | Not shown | NS | OS | ||
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.018 | 2.09 (1.11–4.27) | 0.0208 | OS | ||
| Chen | 2014 | Tumour Biol | Gallbladder | WTB IHC | 93 | NT | 1.856 (1.034–2.976) | 0.026 | OS | ||
| Hou | 2012 | Med Oncol | Gastric | WTB IHC | 158 | <0.001 | 0.574 (0.371–0.886) | 0.012 | OS | HR for E-cad positivity | |
| | Kim | 2009 | Histopathol | Gastric | TMA IHC | 598 | 0.0006 | Not shown | NS | OS | |
| Kroepli | 2013 | BMC Cancer | Colorectal | TMA IHC | 251 | 0.57 | NT | OS | |||
| Franci | 2009 | PLoS One | Colorectal | TMA IHC | 162 | 0.011 | NT | OS | |||
| Kim | 2014 | Oncol Rep | Colorectal | qPCR | 109 | 0.014 | 2.11 (1.03–4.33) | 0.041 | OS | ||
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.3413 | NT | OS | |||
| Shin | 2012 | BMC Cancer | Gastric | TMA IHC | 314 | 0.023 | 0.590 (0.363–0.958) | 0.033 | OS | HR for Snail negativity | |
| | Kim | 2009 | Histopathol | Gastric | TMA IHC | 598 | <0.0001 | 1.31 | 0.041 | OS | |
| Shioiri | 2006 | Br J Cancer | Colorectal | WTB IHC | 138 | <0.0001 | 2.212 (1.127–4.342) | 0.021 | OS | ||
| | Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.6143 | NT | | OS | |
| Twist 1 | Gomez | 2011 | PLoS One | Colorectal | qPCR | 151 | 0.001 | 2.73 (1.5–4.84) | 0.001 | OS | |
| Gomez | 2011 | PLoS One | Colorectal | qPCR | 151 | 0.16 (0.02 for Stage 1 only) | 1.99 (1.05–3.82) | 0.036 | DFS | ||
| Kim | 2014 | Oncol Rep | Colorectal | qPCR | 109 | 0.002 | 2.29 (1.04–5.00) | 0.039 | OS | ||
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.5203 | NT | OS | |||
| Ru | 2010 | Path and Oncol Res | Gastric (Stages 1–3) | TMA IHC | 436 | <0.05 | Not shown | <0.001 | OS | ||
| Twist 2 | Yu | 2013 | World J Gastroenterol | Colorectal | WTB IHC | 93 | 0.015 | 5.744 (1.347–24.298) | 0.018 | OS | |
| | Yu | 2013 | World J Gastroenterol | Colorectal | WTB IHC | 93 | 0.012 | 3.264 (1.455–7.375) | 0.004 | DFS | |
| Zeb 1 | Liu | 2012 | Cancer Sci | Colorectal | WTB IHC | 203 | <0.05 | NT | OS | ||
| Zheng | 2013 | Oncol Lett | Colorectal | qPCR | 92 | 0.01 | 2.237 (1.008–4.968) | 0.048 | OS | ||
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.379 | NT | OS | |||
| Bronsert | 2014 | Surgery | Pancreas (Tumour) | WTB IHC | 112 | 0.043 | Not shown | NS | OS | ||
| Bronsert | 2014 | Surgery | Pancreas (Stroma) | WTB IHC | 112 | 0.032 | 1.772 (1.033–3.041) | 0.038 | OS | ||
| Zeb 2 | Kahlert | 2011 | Cancer Sci | Colorectal (invasive front) | IHC | 175 | <0.0001 | 2.48 (1.16–5.27) | 0.02 | CSS | |
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.938 | NT | OS | |||
| | Dai | 2012 | Dig Dis Sci | Gastric | WTB IHC | 76 | <0.05 | NS | | OS | |
| Yun | 2014 | Oncology | Colorectal | TMA IHC | 409 | NT | 0.769 (0.419–1.413) | 0.398 | OS | ||
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.0193 | 1.21 (0.61–2.25) | 0.5662 | OS | ||
| Chen | 2014 | Tumour Biol | Gallbladder | WTB IHC | 93 | NT | 1.645 (0.956–2.756) | 0.043 | OS | ||
| Kim | 2009 | Histopathol | Gastric | TMA IHC | 598 | 0.0008 | Not shown | NS | OS | ||
| Hou | 2012 | Med Oncol | Gastric | WTB IHC | 158 | 0.029 | 1.444 (0.910–2.291) | 0.119 | OS | ||
| | Otsuki | 2011 | Oncol Rep | Gastric | qPCR | 106 | 0.019 | 2.1 (1–4.4) | 0.036 | DFS | |
| Yun | 2014 | Oncology | Colorectal | TMA IHC | 409 | NT | 0.802 (0.437–1.474) | 0.478 | OS | ||
| | Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.0092 | 1.08 (0.64–1.79) | 0.9093 | OS | |
| Yun | 2014 | Oncology | Colorectal | TMA IHC | 409 | NT | 0.997 (0.611–1.627) | 0.991 | OS | ||
| | Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.5216 | NT | | OS | |
| Jie | 2013 | Dig Dis Sci | Colorectal | WTB IHC | 108 | 0.41 | NT | OS | |||
| Nitta | 2014 | BJC | Bile duct | TMA IHC | 117 | 0.0004 | 2.53 (1.36–4.54) | 0.0038 | OS | ||
| | Kim | 2009 | Histopathol | Gastric | TMA IHC | 598 | 0.002 | Not shown | NS | OS | |
| | Calon | 2012 | Cancer Cell | Colorectal | qPCR | 335 | Not shown | 100 | <0.0001 | DFS | |
| miR-132 (low) | Zheng | 2014 | World J Gastroenterol | Colorectal | qPCR | 62 | <0.001 | NT | DFS | ||
| miRNA-19b (high) | Kahlert | 2011 | Cancer Sci | Colorectal liver mets | qPCR | 30 | 0.04 | NT | OS | ||
| miRNA-19b (high) | Kahlert | 2011 | Cancer Sci | Colorectal liver mets | qPCR | 30 | 0.002 | NT | DFS | ||
| miR-194 (high) | Kahlert | 2011 | Cancer Sci | Colorectal liver mets | qPCR | 30 | 0.003 | NT | OS | ||
| miR-194 (high) | Kahlert | 2011 | Cancer Sci | Colorectal liver mets | qPCR | 30 | 0.008 | NT | DFS | ||
| miR-212 (low) | Meng | 2013 | Gastroenterology | Colorectal | qPCR | 180 | 0.0015 | 0.403 (0.195–0.829) | 0.014 | OS | HR for high miR-212 |
| miR-212 (low) | Meng | 2013 | Gastroenterology | Colorectal | qPCR | 180 | 0.0045 | NT | DFS | ||
| miR-30a (low) | Liu | 2014 | Febs Letters | Hepatocellular | qPCR | 63 | 0.015 | 3.2 (1.5–6.8) | 0.002 | DFS | |
| Vim: E-cad ratio >1.24 | Mashita | 2014 | J Surg Oncol | Colorectal | qPCR | 150 | 0.0085 | 1.48 (0.47–4.35) | 0.485 | DFS | |
| Snail1+, Vimentin +, E-cad −, CD44 + | Ryu | 2012 | Hum Pathol | Gastric | TMA IHC | 276 | <0.001 | 2.072 (1.077–3.986) | 0.29 | DFS | |
| Snail1+, Vimentin +, E-cad -, CD44 + | Ryu | 2012 | Hum Pathol | Gastric | TMA IHC | 276 | <0.001 | 1.930 (0.993–3.752) | 1.052 | OS | |
| Low E-cad, vimentin + | Lahat | 2014 | Ann Surg Oncol | Pancreas (IPMN) | WTB IHC | 33 | 0.007 | 1.93 (1.4–3.77) | 0.05 | OS | |
| Twist +, Bmi-1 + | Ishikawa | 2014 | J Gastroenterol Hepatol | Pancreatic (IPMN) | WTB IHC | 35 | <0.05 | NT | | DFS | |
Abbreviations: CoxPH=Cox proportional hazards multivariate analysis; CSS=cancer-specific survival; DFS=disease-free survival; HR=hazard ratio; IHC=immunohistochemistry; IPMN=intraductal papillary mucinous neoplasm; KMC LRT=Kaplan–Meier survival curve log-rank test; NS=not significant; NT=not tested; OS=overall survival; qPCR=quantitative PCR; TMA=tissue microarray; WTB=whole tissue blocks.
Recent studies showing the usefulness of various markers of EMT, such as transcription factors, cytoskeletal markers and micro-RNAs are summarised.