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Use of osteoblast-derived matrix to assess the influence of collagen modifications on cancer cells.


ABSTRACT: Collagenous stromal accumulations predict a worse clinical outcome in a variety of malignancies. Better tools are needed to elucidate the way in which collagen influences cancer cells. Here, we report a method to generate collagenous matrices that are deficient in key post-translational modifications and evaluate cancer cell behaviors on those matrices. We utilized genetic and biochemical approaches to inhibit lysine hydroxylation and glucosylation on collagen produced by MC-3T3-E1 murine osteoblasts (MC cells). Seeded onto MC cell-derived matrix surface, multicellular aggregates containing lung adenocarcinoma cells alone or in combination with cancer-associated fibroblasts dissociated with temporal and spatial patterns that were influenced by collagen modifications. These findings demonstrate the feasibility of generating defined collagen matrices that are suitable for cell culture studies.

SUBMITTER: Bota-Rabassedas N 

PROVIDER: S-EPMC7852199 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Use of osteoblast-derived matrix to assess the influence of collagen modifications on cancer cells.

Bota-Rabassedas Neus N   Guo Hou-Fu HF   Banerjee Priyam P   Chen Yulong Y   Terajima Masahiko M   Yamauchi Mitsuo M   Kurie Jonathan M JM  

Matrix biology plus 20200930


Collagenous stromal accumulations predict a worse clinical outcome in a variety of malignancies. Better tools are needed to elucidate the way in which collagen influences cancer cells. Here, we report a method to generate collagenous matrices that are deficient in key post-translational modifications and evaluate cancer cell behaviors on those matrices. We utilized genetic and biochemical approaches to inhibit lysine hydroxylation and glucosylation on collagen produced by MC-3T3-E1 murine osteob  ...[more]

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