INVESTIGATING THE RELATIONSHIPS BETWEEN EXPRESSED CANCER RELATED GENES AND SURVIVAL OF PATIENTS WITH BREAST CANCER

  • Chinenye Nworah Mathematical Science Department, Federal University Dutsinma.
  • Bashir Sule Mathematical Science Department, Federal University Dutsinma
Keywords: Cancer stem cells, microRNAs, Micro array and RNA deep sequencing, Pearson correlation

Abstract

Cancer stem cells are regulated by complex interactions with the components of the tumor microenvironment through networks of Cytokins and growth factors. These interactions are mediated by group of proteins and microRNAs (miRs), which are expressed or repressed. These expression levels are critical for cancer stem cell formation and expansion, enabling the promotion of tumor cell proliferation and migration, as well as for the survival of cancer recurrence and patient survival. Micro array and RNA deep sequencing (RNA-seq) provide tools with ability to generate transcriptome information, deciphering global gene expression patterns and quantifying a large dynamic range of expression levels. In this study 94 breast cancer patients were investigated based on miR and mRNA expression levels in which WDR1, APC and AKAP13 genes were identified as genes that play important role in the survival of patients and these genes differed significantly with respect to survival of patients. We used the Pearson correlation to identify the over-expressed and under-expressed genes. We demonstrated that parametric survival models can be used to model outcomes for breast cancer, and for our dataset the log-normal model demonstrated the best fit compared to other parametric models. Through the use of log-normal model, we examined how each of the identified genes influence the survival of breast cancer patients.

References

[1] D. M Parkin, F. Bray, J. Ferlay, and A. Jemal. Cancer in africa 2012. Cancer Epidemiology and Prevention Biomarkers, 23(6):953-966, 2014.
[2] Stewart, B. and Wild, C.P. (eds.) A global view of cancer, including cancer patterns, causes, and prevention, 2014.
[3] L.A. Torre, F. Bray, R.L. Siegel, J. Ferlay, J. Lortet-Tieulent, and A. Jemal. Global cancer statistics, 2012. CA: a cancer journal for clinicians, 65(2):87-108, 2015.
[4] J. Ferlay, I. Soerjomataram, R. Dikshit, S. Eser, C. Mathers, M. Rebelo, D.M. Parkin, D. Forman, and F. Bray. Cancer incidenceandmortalityworldwide: sources, methods and major patterns in globocan 2012. International journal of cancer, 136(5):E359E386, 2015.
[5] D. M Parkin, F. Bray, J. Ferlay, and A. Jemal. Cancer in africa 2012. Cancer Epidemiology and Prevention Biomarkers, 23(6):953-966, 2014.
[6] L.A. Torre, F. Bray, R.L. Siegel, J. Ferlay, J. Lortet-Tieulent, and A. Jemal. Global cancer statistics, 2012. CA: a cancer journal for clinicians, 65(2):87-108, 2015.
[7] V. Agnese and A. Russo. A geneexpression signature as a predictor of survival in breast cancer. Women’s Oncology Review, 3(2):123, 2003.
[8] F. Bertucci, V. Nasser, S. Granjeaud, F. Eisinger, J. Adelaide, R. Tagett, B. Loriod, A. Gi-aconia, A. Benziane, E. Devilard, et al. Gene expression profiles of poorprognosis primary breast cancer correlate with survival. Human molecular genetics, 11(8):863872, 2002.
[9] E. Huang, S.H. Cheng, H. Dressman, J. Pittman, M.H. Tsou, C.F. Horng, A. Bild, E.S. Iversen, M. Liao, C.M. Chen, et al. Gene expression predictors of breast cancer outcomes. The Lancet, 361(9369):15901596, 2003.
[10] M Olivier, A Langer, P Carrieri, J. Bergh, S. Klaar, J. Eyfjord, C. Theillet, C. Rodriguez, R. Lidereau, I. Bie’che, J. Varley, Y. Bignon, N. Uhrhammer, R. Winqvist, A. JukkolaVuorinen, D. Niederacher, S. Kato, C. Ishioka, P. Hainaut, B. Anne-Lise. The ClinicalValueofSomaticTP53GeneMutations in 1,794 Patients with Breast Cancer, 2006.
[11] Z. Zhang, H. Yamashita, T. Toyama, H. Sugiura, Y. Omoto, Y. Ando, K. Mita, M. Hamaguchi, S. Hayashi, H. Iwase. HDAC6ExpressionIsCorrelatedwithBetter Survival in Breast Cancer, 2004.
Published
2021-07-07
How to Cite
Nworah, C., & Sule, B. (2021). INVESTIGATING THE RELATIONSHIPS BETWEEN EXPRESSED CANCER RELATED GENES AND SURVIVAL OF PATIENTS WITH BREAST CANCER. FUDMA JOURNAL OF SCIENCES, 5(2), 327 - 333. https://doi.org/10.33003/fjs-2021-0502-553