title: Can stroma reaction predict cancer lethality?
abstract: Stromal features in carcinomas may provide a relatively consistent means to stratify patients afflicted with solid tumors. Stroma-derived transcriptome signatures can now be used to make predictions about patient survival, suggesting the potential for their clinical application in precision medicine to predict disease progression and emergence of therapeutic resistance.
authors.affiliation: Authors' Affiliations: Departments of Medicine, Surgery, Biomedical Sciences, and Biostatistics and Bioinformatics Center, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, California.
authors.forename: Michael R
authors.initials: MR
authors.lastname: Freeman
authors.forename: Quanlin
authors.initials: Q
authors.lastname: Li
authors.forename: Leland W K
authors.initials: LW
authors.lastname: Chung
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism; D018450:Disease Progression; D006801:Humans; D009369:Neoplasms / Q000175:diagnosis* / Q000401:mortality; D011379:Prognosis; D017154:Stromal Cells / Q000378:metabolism / Q000473:pathology*; D015996:Survival Rate
chemical_list: D014408:Biomarkers, Tumor