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Contents lists available at ScienceDirect
EBioMedicine
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
Article history:
Keywords:
TMRS
Colon cancer
Prognosis
Adjuvant chemotherapy
Immunotherapy
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.