@article{oai:nagoya.repo.nii.ac.jp:02003741,
 author = {Shiraki, Yukihiro and Mii, Shinji and Esaki, Nobutoshi and Enomoto, Atsushi},
 issue = {3},
 journal = {Nagoya Journal of Medical Science},
 month = {Aug},
 note = {Cancer and fibrotic diseases are characterized by continuous inflammation, tissue wounds, and injuries. Cancer is a “wound that does not heal,” and the uncontrolled proliferation of cancer cells disrupts normal tissue integrity and induces stromal fibroinflammatory reactions. Fibroblasts proliferate extensively in the stroma, playing a major role in the development of these diseases. There has been considerable evidence that fibroblasts contribute to fibrosis and tissue stiffening and promote disease progression via multiple mechanisms. However, recent emerging findings, mainly derived from single-cell transcriptomic analysis, indicated that fibroblasts are functionally heterogeneous, leading to the hypothesis that both diseasepromoting and -restraining fibroblasts exist. We recently showed that a fibroblast population, defined by the expression of the glycosylphosphatidylinositol-anchored membrane protein Meflin may suppress but not promote fibrotic response and disease progression in cancer and fibrotic diseases. Although currently hypothetical, the primary function of Meflin-positive fibroblasts may be tissue repair after injury and cancer initiation occurred. This observation has led to the proposal of a potential therapy that converts the phenotype of fibroblasts from pro-tumor to anti-tumor. In this short review, we summarize our recent findings on the function of Meflin in the context of cancer and fibrotic diseases and discuss how we can utilize this knowledge on fibroblasts in translational medicine. We also discuss several aspects of the interpretation of survival analysis data, such as Kaplan-Meier analysis, to address the function of specific genes expressed in fibroblasts.},
 pages = {484--496},
 title = {Possible disease-protective roles of fibroblasts in cancer and fibrosis and their therapeutic application},
 volume = {84},
 year = {2022}
}