Literature DB >> 3077938

Feedback regulators in normal and tumour tissues.

B I Lord1.   

Abstract

Regulation of cell behaviour and population size is presumed to be not unlike classical regulation in non-biological systems, i.e. it is controlled by the cybernetic principle of negative feedback whereby the performance of progenitor cells depends inversely on a signal from their product, the size of which is proportional to the mass of the product. This signal may be inhibitory, acting directly on the progenitor cells. Alternatively, it may operate via an indirect and integrated inhibitor/stimulator feedback loop in which the one influences the production of the other. Illustrations taken from the various phases of haemopoietic development show the operation of these loops. Haemopoietic stem cells are under the direct influence of both inhibitor and stimulator but it is a feedback signal from the stem cell population that dictates the production of the one rather than the other. A second inhibitor acting at the stem cell level is a low molecular weight tetrapeptide which blocks the entry of cells into DNA synthesis, thus protecting them during a regimen of treatment with an S-phase cytotoxic drug. Proliferation of the maturing cells is also inhibited by feedback products of their fully mature descendants. Here, the effect is one of cell cycle modulation, whereas in the stem cell population the inhibitor and stimulator effect an on/off switch. Attempts to characterize the molecules involved have been limited. A series of tri- to pentapeptides has been described for haemopoietic or epithelial cell inhibitors. A common feature of several is a pGlu-Glu end though whether this has any significance is not known. In tumours it has been shown that some ascites are self-limiting and treatment of small tumours with cell-free fluid from a mature growth blocks their further growth. It appears that many tumour cells produce the feedback signals characteristic of their normal counterparts but are themselves less sensitive to it. The same is true of transforming growth factor-beta which is produced and detected by virtually all cell types. In this case, the factor, inhibiting in most cases, is produced in inactive form and achieves its target specificity by a localized capacity to activate it. Some tumours, while responding to exogenous active TGF-beta are incapable of activating the latent molecule. It is concluded that the differential sensitivity of normal and neoplastic tissues to physiological feedback regulators is a potentially exploitable property in cancer therapy.

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Year:  1988        PMID: 3077938     DOI: 10.1242/jcs.1988.supplement_10.16

Source DB:  PubMed          Journal:  J Cell Sci Suppl        ISSN: 0269-3518


  5 in total

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Authors:  Kazuhide Watanabe; Yasuhiro Hasegawa; Hiroshi Yamashita; Kazue Shimizu; Yuanying Ding; Mayumi Abe; Hideki Ohta; Keiichi Imagawa; Kanji Hojo; Hideo Maki; Hikaru Sonoda; Yasufumi Sato
Journal:  J Clin Invest       Date:  2004-10       Impact factor: 14.808

Review 2.  Are immunotherapies for Huntington's disease a realistic option?

Authors:  Hélèna L Denis; Florian Lauruol; Francesca Cicchetti
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3.  The integrin alpha(v)beta8 mediates epithelial homeostasis through MT1-MMP-dependent activation of TGF-beta1.

Authors:  Dezhi Mu; Stephanie Cambier; Lars Fjellbirkeland; Jody L Baron; John S Munger; Hisaaki Kawakatsu; Dean Sheppard; V Courtney Broaddus; Stephen L Nishimura
Journal:  J Cell Biol       Date:  2002-04-22       Impact factor: 10.539

4.  Let-7a regulates expression of β1-adrenoceptors and forms a negative feedback circuit with the β1-adrenoceptor signaling pathway in chronic ischemic heart failure.

Authors:  Yue Du; Mingyu Zhang; Wei Zhao; You Shu; Ming Gao; Yanan Zhuang; Ti Yang; Wei Mu; Tingting Li; Xin Li; Fei Sun; Zhenwei Pan; Yanjie Lu
Journal:  Oncotarget       Date:  2017-01-31

5.  A novel molecular marker of prognosis in colorectal cancer: Vasohibin-1.

Authors:  Yichao Yan; Zhanlong Shen; Yingjiang Ye; Kewei Jiang; Hui Zhang; Chao Shen; Harri Mustonen; Pauli Puolakkainen; Shan Wang
Journal:  Med Oncol       Date:  2013-12-24       Impact factor: 3.064

  5 in total

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