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Housekeeping genes involved in non-malignant breast phenotypes are widely expressed in multiple cancers and provide novel biomarkers of tumor classification
Delmonico, L; Obenauer, J C; Stockfisch, T P; Fournier, M V.
  • Delmonico, L; Universidade Federal do Rio de Janeiro. Instituto de Biofísica Carlos Chagas Filho. Rio de Janeiro. BR
  • Obenauer, J C; Rancho BioSciences. San Diego. US
  • Stockfisch, T P; Rancho BioSciences. San Diego. US
  • Fournier, M V; Bioarray Genetics Inc. Farmington. US
Braz. j. med. biol. res ; 54(7): e10388, 2021. tab
Article in English | LILACS | ID: biblio-1249319
ABSTRACT
Clinically relevant biomarkers are useful to determine cancer patients' prognosis and treatments. To discover new putative biomarkers, we performed in silico analysis of a 325-gene panel previously associated with breast epithelial cell biology and clinical outcomes. Sixteen public datasets of microarray samples representing 8 cancer types and a total of 3,663 patients' samples were used for the analyses. Feature selection was used to identify the best subsets of the 325 genes for each classification, and linear discriminant analysis was used to quantify the accuracy of the classifications. A subset of 102 of the 325 genes were found to be housekeeping (HK) genes, and the classifications were repeated using only the 102 HK subset. The 325-gene panel and 102 HK subset were able to distinguish colon, gastric, lung, ovarian, pancreatic, and prostate tumors and leukemia from normal adjacent tissue, and classify disease subtypes of breast and lung cancers and leukemia with 70% or higher accuracy. HK genes have been overlooked as potential biomarkers due to their relative stability. This study describes a set of HK genes as putative biomarkers applicable to multiple cancer types worth following in subsequent validation studies.
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Full text: Available Index: LILACS (Americas) Main subject: Breast Neoplasms / Gene Expression Profiling Limits: Humans / Male Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2021 Type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Bioarray Genetics Inc/US / Rancho BioSciences/US / Universidade Federal do Rio de Janeiro/BR

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Full text: Available Index: LILACS (Americas) Main subject: Breast Neoplasms / Gene Expression Profiling Limits: Humans / Male Language: English Journal: Braz. j. med. biol. res Journal subject: Biology / Medicine Year: 2021 Type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Bioarray Genetics Inc/US / Rancho BioSciences/US / Universidade Federal do Rio de Janeiro/BR