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Undifferentially Expressed CXXC5 as a Transcriptionally Regulatory Biomarker of Breast Cancer.
Li, Xue; Lv, Xiaoying; Li, Haijun; Zhang, Gongyou; Long, Yaohang; Li, Kewei; Fan, Yusi; Jin, Dawei; Zhou, Fengfeng; Liu, Hongmei.
Affiliation
  • Li X; School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
  • Lv X; School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China.
  • Li H; Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
  • Zhang G; School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China.
  • Long Y; Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
  • Li K; School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China.
  • Fan Y; Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
  • Jin D; School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China.
  • Zhou F; Engineering Research Center of Medical Biotechnology, Guizhou Medical University, Guiyang, Guizhou, 550025, China.
  • Liu H; School of Biology and Engineering, Guizhou Medical University, Guiyang, 550025, China.
Adv Biol (Weinh) ; 7(12): e2300189, 2023 Dec.
Article de En | MEDLINE | ID: mdl-37423953
This work hypothesizes that some genes undergo radically changed transcription regulations (TRs) in breast cancer (BC), but don't show differential expressions for unknown reasons. The TR of a gene is quantitatively formulated by a regression model between the expression of this gene and multiple transcription factors (TFs). The difference between the predicted and real expression levels of a gene in a query sample is defined as the mqTrans value of this gene, which quantitatively reflects its regulatory changes. This work systematically screens the undifferentially expressed genes with differentially expressed mqTrans values in 1036 samples across five datasets and three ethnic groups. This study calls the 25 genes satisfying the above hypothesis in at least four datasets as dark biomarkers, and the strong dark biomarker gene CXXC5 (CXXC Finger Protein 5) is even supported by all the five independent BC datasets. Although CXXC5 does not show differential expressions in BC, its transcription regulations show quantitative associations with BCs in diversified cohorts. The overlapping long noncoding RNAs (lncRNAs) may have contributed their transcripts to the expression miscalculations of dark biomarkers. The mqTrans analysis serves as a complementary view of the transcriptome-based detections of biomarkers that are ignored by many existing studies.
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Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du sein Type d'étude: Prognostic_studies Limites: Female / Humans Langue: En Journal: Adv Biol (Weinh) Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Allemagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du sein Type d'étude: Prognostic_studies Limites: Female / Humans Langue: En Journal: Adv Biol (Weinh) Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Allemagne