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Subpathway Analysis of Transcriptome Profiles Reveals New Molecular Mechanisms of Acquired Chemotherapy Resistance in Breast Cancer.
Huo, Yang; Shao, Shuai; Liu, Enze; Li, Jin; Tian, Zhen; Wu, Xue; Zhang, Shijun; Stover, Daniel; Wu, Huanmei; Cheng, Lijun; Li, Lang.
Afiliación
  • Huo Y; School of Informatics, Indiana University, Indianapolis, IN 46032, USA.
  • Shao S; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Liu E; Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN 46032, USA.
  • Li J; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Tian Z; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Wu X; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Zhang S; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Stover D; Division of Medical Oncology, Department of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Wu H; Department of Health Service Administration and Policy, College of Public Health, Temple University, Philadelphia, PA 19122, USA.
  • Cheng L; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
  • Li L; Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
Cancers (Basel) ; 14(19)2022 Oct 05.
Article en En | MEDLINE | ID: mdl-36230801
ABSTRACT
Chemoresistance has been a major challenge in the treatment of patients with breast cancer. The diverse omics platforms and small sample sizes reported in the current studies of chemoresistance in breast cancer limit the consensus regarding the underlying molecular mechanisms of chemoresistance and the applicability of these study findings. Therefore, we built two transcriptome datasets for patients with chemotherapy-resistant breast cancers­one comprising paired transcriptome samples from 40 patients before and after chemotherapy and the second including unpaired samples from 690 patients before and 45 patients after chemotherapy. Subsequent conventional pathway analysis and new subpathway analysis using these cohorts uncovered 56 overlapping upregulated genes (false discovery rate [FDR], 0.018) and 36 downregulated genes (FDR, 0.016). Pathway analysis revealed the activation of several pathways in the chemotherapy-resistant tumors, including those of drug metabolism, MAPK, ErbB, calcium, cGMP-PKG, sphingolipid, and PI3K-Akt, as well as those activated by Cushing's syndrome, human papillomavirus (HPV) infection, and proteoglycans in cancers, and subpathway analysis identified the activation of several more, including fluid shear stress, Wnt, FoxO, ECM-receptor interaction, RAS signaling, Rap1, mTOR focal adhesion, and cellular senescence (FDR < 0.20). Among these pathways, those associated with Cushing's syndrome, HPV infection, proteoglycans in cancer, fluid shear stress, and focal adhesion have not yet been reported in breast cancer chemoresistance. Pathway and subpathway analysis of a subset of triple-negative breast cancers from the two cohorts revealed activation of the identical chemoresistance pathways.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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