title: Establishment of apoptotic regulatory network for genetic markers of colorectal cancer and optimal selection of traditional Chinese medicine target.
abstract: The paper aimed to screen out genetic markers applicable to early diagnosis for colorectal cancer and establish apoptotic regulatory network model for colorectal cancer, and to analyze the current situation of traditional Chinese medicine (TCM) target, thereby providing theoretical evidence for early diagnosis and targeted therapy of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers that are applied to early diagnosis of colorectal cancer were searched and performed comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. KEGG analysis was employed to establish apoptotic regulatory network model based on screened genetic markers, and optimization was conducted on TCM targets. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, P53, APC, DCC and PTEN, among which DCC has the highest diagnostic efficiency. Apoptotic regulatory network was built by KEGG analysis. Currently, it was reported that TCM has regulatory function on gene locus in apoptotic regulatory network. The apoptotic regulatory model of colorectal cancer established in this study provides theoretical evidence for early diagnosis and TCM targeted therapy of colorectal cancer in clinic.
authors.affiliation: Integrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
authors.forename: Tongde
authors.initials: T
authors.lastname: Tian
authors.affiliation: Hospital Office, People's Hospital of Zhengzhou University, No. 7 Weiwu Rd., Zhengzhou, Henan Province 450003, China.
authors.forename: Chuanliang
authors.initials: C
authors.lastname: Chen
authors.affiliation: Integrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Yang
authors.affiliation: Integrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
authors.forename: Jingwen
authors.initials: J
authors.lastname: Tang
authors.affiliation: Integrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
authors.forename: Junwen
authors.initials: J
authors.lastname: Pei
authors.affiliation: Integrated TCM and Western Medicine Department, Cancer Hospital Affiliated to Zhengzhou University, No. 127 Dongming Rd., Zhengzhou, Henan Province 450008, China.
authors.forename: Bian
authors.initials: B
authors.lastname: Shi
authors.affiliation: Medical Engineering Technology and Data Mining Institute of Zhengzhou University, No. 100 Science Ave., Gaoxin Dist., Zhengzhou, Henan Province 450001, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Zhang
authors.affiliation: Medical Engineering Technology and Data Mining Institute of Zhengzhou University, No. 100 Science Ave., Gaoxin Dist., Zhengzhou, Henan Province 450001, China.
authors.forename: Jianhua
authors.initials: J
authors.lastname: Zhang
keywords: Colorectal cancer; KEGG analysis; Meta analysis; Traditional Chinese medicine