title: Hypoxia and low-nutrition double stress induces aggressiveness in a murine model of melanoma.
abstract: Antiangiogenic therapy is a potent cancer treatment, however, the possibility of recurrence and resistance to this approach remains. Here we show that hypoxia and low-nutrition double-deprivation stress induces reversible tumor aggressiveness. In a stress-cycle-dependent manner, murine melanoma cells showed morphological changes, up-regulated phospho-Akt, and abnormal regulation of multiple genes including fibroblast growth factor-21, a metabolic regulator, resulting in increased cell proliferation in vitro, and increased tumorigenesis and invasive potential in vivo. In this system, altered cellular metabolism participates in the adaptation of tumor to the double-deprivation stress. Our results suggest the targeting of a minor population of cancer cells resistant to both hypoxia and low nutrition to be an effective new antitumor strategy in combination with antiangiogenic therapy.
authors.affiliation: Department of Molecular Oncology, Graduate School of Medicine and Dentistry, Tokyo Medical and Dental University, Tokyo, Japan.
authors.forename: Tsuyoshi
authors.initials: T
authors.lastname: Osawa
authors.forename: Masashi
authors.initials: M
authors.lastname: Muramatsu
authors.forename: Makoto
authors.initials: M
authors.lastname: Watanabe
authors.forename: Masabumi
authors.initials: M
authors.lastname: Shibuya
mesh_terms: D000220:Adaptation, Biological; D000818:Animals; D015687:Cell Hypoxia; D017077:Culture Media, Conditioned; D004195:Disease Models, Animal; D005346:Fibroblast Growth Factors / Q000378:metabolism; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D008545:Melanoma / Q000235:genetics / Q000378:metabolism / Q000473:pathology*; D051379:Mice; D009362:Neoplasm Metastasis / Q000473:pathology; D009368:Neoplasm Transplantation; D013312:Stress, Physiological
chemical_list: D017077:Culture Media, Conditioned; C414620:fibroblast growth factor 21; D005346:Fibroblast Growth Factors