title: Potential predictive plasma biomarkers for cervical cancer by 2D-DIGE proteomics and Ingenuity Pathway Analysis.
abstract: The current methods available for screening and detecting cervical squamous cell carcinoma (CSCC) have insufficient sensitivity and specificity. As a result, many patients suffered from erroneous and missed diagnosis. Because CSCC is usually asymptomatic at potentially curative stages, identification of biomarkers is an urgent need for the early detection of CSCC. Comparative proteomics based on two-dimensional differential in-gel electrophoresis (2D-DIGE) was employed to quantitatively analyze plasma proteins of healthy Uyghur women and with early stage cervical carcinoma. The 2D-DIGE image were analyzed statistically using DeCyder™ 2D software. The statistical analysis of proteomic data revealed that 43 protein spots showed significantly different expression (ratio > 1.5, P < 0.01). A further identification of these protein spots by MALDI-TOF-MS found out 16 different proteins. Bioinformatic analysis within the framework of Ingenuity Pathway Analysis (IPA(@)) showed that 10 plasma proteins as candidate biomarker were screened, mainly including lipid metabolism-related proteins (APOA4, APOA1, APOE), complement (EPPK1, CFHR1), metabolic enzymes (CP, F2, MASP2), glycoprotein (CLU), and immune function-related proteins (IGK@). Networks involved in lipid metabolism, molecular transport, and small molecule biochemistry were dysfunctional in CSCC. Acute phase response signaling and JAK/Stat signaling and IL-4 signaling, etc., were identified as the canonical pathways that are overrepresented in CSCC. Furthermore, the expression of three proteins (APOA1, APOE, CLU) were validated using ELISA in plasma of patients with different stage cervical lesion. With the combined proteomic and bioinformatic approach, this study was successful in identifying biomarker signatures for cervical cancer and might provide new insights into the mechanism of CSCC progression, potentially leading to the design of novel diagnostic and therapeutic strategies.
authors.affiliation: Xinjiang Key Laboratory of Molecular Biology and Endemic Diseases, Central Laboratory of XinJiang Medical University/Collaborative Innovation Center, Xinjiang Medical University, Urumqi, 830011, People's Republic of China, myshow0504@163.com.
authors.forename: Xia
authors.initials: X
authors.lastname: Guo
authors.forename: Yi
authors.initials: Y
authors.lastname: Hao
authors.forename: Mayila
authors.initials: M
authors.lastname: Kamilijiang
authors.forename: Axiangu
authors.initials: A
authors.lastname: Hasimu
authors.forename: Jianlin
authors.initials: J
authors.lastname: Yuan
authors.forename: Guizhen
authors.initials: G
authors.lastname: Wu
authors.forename: Halidan
authors.initials: H
authors.lastname: Reyimu
authors.forename: Nafeisha
authors.initials: N
authors.lastname: Kadeer
authors.forename: Abulizi
authors.initials: A
authors.lastname: Abudula
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000378:metabolism*; D001798:Blood Proteins / Q000378:metabolism; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D005260:Female; D006023:Glycoproteins / Q000378:metabolism; D006801:Humans; D015847:Interleukin-4 / Q000378:metabolism; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000378:metabolism; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics / Q000379:methods; D015398:Signal Transduction; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods; D057825:Two-Dimensional Difference Gel Electrophoresis / Q000379:methods; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis* / Q000378:metabolism*
chemical_list: D014408:Biomarkers, Tumor; D001798:Blood Proteins; D006023:Glycoproteins; D009363:Neoplasm Proteins; D020543:Proteome; D015847:Interleukin-4