Literature DB >> 34099638

Reduced hyaluronan cross-linking induces breast cancer malignancy in a CAF-dependent manner.

Guoliang Zhang1,2, Yiqing He1, Yiwen Liu1, Yan Du1, Cuixia Yang3,4, Feng Gao5,6.   

Abstract

Hyaluronan (HA) cross-linking is a conformational state of HA, a covalent complex between HA and heavy chains (HCs) from inter-α-trypsin inhibitor (I-α-I) mediated by tumor necrosis factor-induced protein 6 (TSG6). Cross-linked HA has been identified as a protective factor in physiological and inflammatory conditions. However, the state of HA cross-linking in tumor microenvironment has not been fully elucidated. As a major constituent of the extracellular matrix (ECM), HA is mainly synthesized by cancer-associated fibroblasts (CAFs). Our study aimed to clarify the role of HA cross-linking in breast cancer malignancy. Compared to normal mammary gland tissues, cross-linked HA levels were significantly decreased in breast cancer and associated with tumor malignancy. When NFbs were activated into CAFs, the levels of cross-linked HA and TSG6 were both suppressed. Through upregulating TSG6, CAFs restored the high level of cross-linked HA and significantly inhibited breast cancer malignancy, whereas NFbs promoted the malignancy when the cross-linked HA level was reduced. Furthermore, the inhibitory role of HA cross-linking in tumor malignancy was directly verified using the synthesized HA-HC complex. Collectively, our study found that the deficiency of cross-linked HA induced breast cancer malignancy in a CAF-dependent manner, suggesting that recovering HA cross-linking may be a potential therapeutic strategy.

Entities:  

Year:  2021        PMID: 34099638     DOI: 10.1038/s41419-021-03875-6

Source DB:  PubMed          Journal:  Cell Death Dis            Impact factor:   8.469


  45 in total

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Journal:  FEBS J       Date:  2019-02-21       Impact factor: 5.542

6.  Podoplanin-expressing cancer-associated fibroblasts are associated with poor prognosis in invasive breast cancer.

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Journal:  Cell       Date:  2009-11-25       Impact factor: 41.582

8.  Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome.

Authors:  A Bergamaschi; E Tagliabue; T Sørlie; B Naume; T Triulzi; R Orlandi; H G Russnes; J M Nesland; R Tammi; P Auvinen; V-M Kosma; S Ménard; A-L Børresen-Dale
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Review 2.  Cancer-associated fibroblasts in breast cancer: Challenges and opportunities.

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  2 in total

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