Prognostic value of CA20, a score based on centrosome amplification-associated genes, in breast tumors.
Centrosome amplification (CA) is a hallmark of cancer, observable in ≥75% of breast tumors. CA drives aggressive cellular phenotypes such as chromosomal instability (CIN) and invasiveness. Thus, assessment of CA may offer insights into the prognosis of breast cancer and identify patients who might benefit from centrosome declustering agents. However, it remains unclear whether CA is correlated with clinical outcomes after adjusting for confounding factors. To gain insights, we developed a signature, "CA20", comprising centrosome structural genes and genes whose dysregulation is implicated in inducing CA. We found that CA20 was a significant independent predictor of worse survival in two large independent datasets after adjusting for potentially confounding factors. In multivariable analyses including both CA20 and CIN25 (a gene expression-based score that correlates with aneuploidy and has prognostic value in many types of cancer), only CA20 was significant, suggesting CA20 captures the risk-predictive information of CIN25 and offers information beyond it. CA20 correlated strongly with CIN25, so a high CA20 score may reflect tumors with high CIN and potentially other aggressive features that may require more aggressive treatment. Finally, we identified processes and pathways differing between CA20-low and high groups that may be valuable therapeutic targets.
Department of Biology, Georgia State University, Atlanta, GA, USA.
Angela
A
Ogden
Department of Biology, Georgia State University, Atlanta, GA, USA.|Novazoi Theranostics, Inc., Rolling Hills Estates, CA, USA.
Padmashree C G
PC
Rida
Department of Biology, Georgia State University, Atlanta, GA, USA. raneja@gsu.edu.
Ritu
R
Aneja
D001943:Breast Neoplasms / Q000175:diagnosis* / Q000401:mortality / Q000473:pathology*; D018385:Centrosome; D005260:Female; D018628:Gene Dosage; D006801:Humans; D060787:Neoplasm Grading / Q000379:methods*; D057089:Pathology, Molecular / Q000379:methods*; D011379:Prognosis; D016019:Survival Analysis