@article {241,
	title = {Rapid disorganization of mechanically interacting systems of mammary acini.},
	journal = {Proc Natl Acad Sci U S A},
	volume = {111},
	year = {2014},
	month = {2014 Jan 14},
	pages = {658-63},
	abstract = {<p>Cells and multicellular structures can mechanically align and concentrate fibers in their ECM environment and can sense and respond to mechanical cues by differentiating, branching, or disorganizing. Here we show that mammary acini with compromised structural integrity can interconnect by forming long collagen lines. These collagen lines then coordinate and accelerate transition to an invasive phenotype. Interacting acini begin to disorganize within 12.5 \&plusmn; 4.7 h in a spatially coordinated manner, whereas acini that do not interact mechanically with other acini disorganize more slowly (in 21.8 \&plusmn; 4.1 h) and to a lesser extent (P \&lt; 0.0001). When the directed mechanical connections between acini were cut with a laser, the acini reverted to a slowly disorganizing phenotype. When acini were fully mechanically isolated from other acini and also from the bulk gel by box-cuts with a side length \&lt;900 μm, transition to an invasive phenotype was blocked in 20 of 20 experiments, regardless of waiting time. Thus, pairs or groups of mammary acini can interact mechanically over long distances through the collagen matrix, and these directed mechanical interactions facilitate transition to an invasive phenotype.</p>
},
	keywords = {Acinar Cells, Breast Neoplasms, Cell Communication, Cell Line, Tumor, Cell Separation, Collagen, Escherichia coli, Female, Humans, Kaplan-Meier Estimate, Mammary Glands, Human, Microscopy, Atomic Force, Microscopy, Electron, Scanning, Microscopy, Fluorescence},
	issn = {1091-6490},
	doi = {10.1073/pnas.1311312110},
	author = {Shi, Quanming and Ghosh, Rajarshi P and Engelke, Hanna and Rycroft, Chris H and Cassereau, Luke and Sethian, James A and Weaver, Valerie M and Liphardt, Jan T}
}
@article {276,
	title = {Molecular profiling of prostatic acinar morphogenesis identifies PDCD4 and KLF6 as tissue architecture-specific prognostic markers in prostate cancer.},
	journal = {Am J Pathol},
	volume = {182},
	year = {2013},
	month = {2013 Feb},
	pages = {363-74},
	abstract = {<p>Histopathological classification of human prostate cancer (PCA) relies on the morphological assessment of tissue specimens but has limited prognostic value. To address this deficiency, we performed comparative transcriptome analysis of human prostatic acini generated in a three-dimensional basement membrane that recapitulates the differentiated morphological characteristics and gene expression profile of a human prostate glandular epithelial tissue. We then applied an acinar morphogenesis-specific gene profile to two independent cohorts of patients with PCA (total n = 79) and found that those with tumors expressing this profile, which we designated acini-like tumors, had a significantly lower risk of postoperative relapse compared with those tumors with a lower correlation (hazard ratio, 0.078; log-rank test P = 0.009). Multivariate analyses showed superior prognostic prediction performance using this classification system compared with clinical criteria and Gleason scores. We prioritized the genes in this profile and identified programmed cell death protein 4 (PDCD4) and Kruppel-like factor 6 (KLF6) as critical regulators and surrogate markers of prostatic tissue architectures, which form a gene signature that robustly predicts clinical prognosis with a remarkable accuracy in several large series of PCA tumors (total n = 161; concordance index, 0.913 to 0.951). Thus, by exploiting the genomic program associated with prostate glandular differentiation, we identified acini-like PCA and related molecular markers that significantly enhance prognostic prediction of human PCA.</p>
},
	keywords = {Acinar Cells, Aged, Apoptosis Regulatory Proteins, Cell Differentiation, Epithelial Cells, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Kruppel-Like Transcription Factors, Male, Middle Aged, Morphogenesis, Organ Specificity, Prognosis, Prostate, Prostatic Neoplasms, Proto-Oncogene Proteins, Recurrence, RNA-Binding Proteins, Tumor Markers, Biological},
	issn = {1525-2191},
	doi = {10.1016/j.ajpath.2012.10.024},
	author = {Li, Chi-Rong and Su, Jimmy J-M and Wang, Wei-Yu and Lee, Michael T-L and Wang, Ting-Yun and Jiang, Kuan-Ying and Li, Chein-Feng and Hsu, Jong-Ming and Chen, Chi-Kuan and Chen, Marcelo and Jiang, Shih-Sheng and Weaver, Valerie M and Tsai, Kelvin K-C}
}
