ITF2357 (Givinostat) br CDC a March HPV Associated Cancer
CDC, 2017a. March 6). HPV-Associated Cancer Statistics. Retrieved. https://www.cdc.
gov/cancer/hpv/statistics/index.htm, Accessed date: 17 May 2017.
Cline, R.J.W., 2011. Everyday interpersonal communication and health. In: Thompson, T.L., Parrott, R., Nussbaum, J.F. (Eds.), The Routledge Handbook of Health Communication, Second. Routledge, New York, NY, pp. 377–396. Retrieved from.
B. Sundstrom, et al.
Corbin, J., Strauss, A., 2008. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Sage.
Dutta, Mohan J., 2015a. Communicating Health: A Culture-Centered Approach. Polity Press, Malden, MA.
sccancer.org/workgroups/cervical-cancer/, Accessed date: 18 September 2017.
Macleod, C., Chiweshe, M., Mavuso, J., 2018. A critical review of sanctioned knowledge production concerning abortion in Africa: implications for feminist health psy-chology. J. Health Psychol. 23 (8), 1096–1109.
2014. Human Papillomavirus Vaccination: Recommendations Of the Advisory Committee On Immunization Practices (ACIP) (Recommendations and Reports No. 63). CDC, pp. 1–30. Retrieved from. https://www.cdc.gov/mmwr/preview/mmwrhtml/rr6305a1. htm.
Martin, E., 2001. The Woman in the Body: ITF2357 (Givinostat) Cultural Analysis of Reproduction. Beacon Press.
Pirotte, M., 2016. Using a reproductive justice framework: organisational and political challenges. In: The Unfinished Revolution II. Belfast, Northern Ireland. Ulster University.
Pollock, D., 1999. Telling Bodies Performing Birth: Everyday Narratives of Childbirth.
Columbia University Press.
et al., 2008. Sexually transmitted infections among US women and men: prevalence
Stephens, D.P., Patil, V., Thomas, T.L., 2012. STI prevention and control for women: a reproductive justice approach to understanding global women's experiences. In: Chrisler, J.C. (Ed.), Reproductive Justice: A Global Concern. Praeger, Santa Barbara, CA, pp. 117–144.
Sundstrom, B., 2015. Reproductive Justice and Women’s Voices: Health Communication across the Lifespan. Lexington Books, Lanham, MD.
Contents lists available at ScienceDirect
A robust panel based on tumour microenvironment genes for prognostic prediction and tailoring therapies in stage I–III colon cancer
Rui Zhou a, Dongqiang Zeng a, Jingwen Zhang b, Huiying Sun a, Jianhua Wu a, Nailin Li c, Li Liang d,e,f, Min Shi a, Jianping Bin g, Yulin Liao g, Na Huang a, , Wangjun Liao a,
a Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
b Department of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
c Department of Medicine-Solna, Clinical Pharmacology Group, Karolinska University Hospital-Solna, Karolinska Institutet, Stockholm, Sweden
d Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
e Department of Pathology, Southern Medical University, Guangzhou, Guangdong, PR China
f Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, Guangdong, PR China
g Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
Background: Tumour microenvironment (TME) is critical for the regulation of cancer development as well as therapy. The objective of the current study was the development of a robust prognostic model based on TME-relevant genes.
Methods: Five public microarray datasets providing clinical information were obtained. The least absolute shrink-age and selection operator regression method was used to reduce the dimensionality of robust prognostic genes identified via the bootstrap method.