title: Distinct prognostic values of S100 mRNA expression in breast cancer.
abstract: S100 family genes encode low molecular weight, acidic-Ca2+binding proteins implicating in a wide spectrum of biological processes. S100 family contains at least 20 members, most of which are frequently dysregulated in human malignancies including breast cancer. However, the prognostic roles of each individual S100, especially the mRNA level, in breast cancer patients remain elusive. In the current study, we used "The Kaplan-Meier plotter" (KM plotter) database to investigate the prognostic values of S100 mRNA expression in breast cancer. Our results indicated that high mRNA expression of S100A8, S100A9, S100A11 and S100P were found to be significantly correlated to worse outcome, while S100A1 and S100A6 were associated with better prognosis in all breast cancer patients. We further assessed the prognostic value of S100 in different intrinsic subtypes and clinicopathological features of breast cancer. The associated results will elucidate the role of S100 in breast cancer and may further lead the research to explore the S100-targeting reagents for treating breast cancer patients.
authors.affiliation: Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.|Cancer Institute (Key Laboratory of Cancer Prevention &Intervention, National Ministry of Education, Provincial Key Laboratory of Molecular Biology in Medical Sciences), Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.
authors.forename: Shizhen
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.|Cancer Institute (Key Laboratory of Cancer Prevention &Intervention, National Ministry of Education, Provincial Key Laboratory of Molecular Biology in Medical Sciences), Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Wang
authors.affiliation: Department of Laboratory Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.
authors.forename: Weiwei
authors.initials: W
authors.lastname: Liu
authors.affiliation: Department of Plastic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, No. 79, Qingchun Road, Hangzhou, Zhejiang 310009, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Lei
authors.affiliation: Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.|Cancer Institute (Key Laboratory of Cancer Prevention &Intervention, National Ministry of Education, Provincial Key Laboratory of Molecular Biology in Medical Sciences), Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.
authors.forename: Jinlan
authors.initials: J
authors.lastname: Shan
authors.affiliation: Division of Hematopoietic Stem Cell and Leukemia Research, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA.
authors.forename: Ling
authors.initials: L
authors.lastname: Li
authors.affiliation: Department of Surgical Oncology, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.|Cancer Institute (Key Laboratory of Cancer Prevention &Intervention, National Ministry of Education, Provincial Key Laboratory of Molecular Biology in Medical Sciences), Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88, Jiefang Road, Hangzhou, Zhejiang 310009, China.
authors.forename: Xiaochen
authors.initials: X
authors.lastname: Wang
mesh_terms: D001943:Breast Neoplasms / Q000378:metabolism / Q000401:mortality / Q000473:pathology*; D005260:Female; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D011379:Prognosis; D016016:Proportional Hazards Models; D021122:Protein Subunits / Q000235:genetics / Q000378:metabolism; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism; D009418:S100 Proteins / Q000235:genetics / Q000378:metabolism*; D015996:Survival Rate
chemical_list: D021122:Protein Subunits; D018719:Erb-b2 Receptor Tyrosine Kinases; D009418:S100 Proteins; C508053:ERBB2 protein, human