Literature DB >> 26050356

Metabolomics analysis of cervical cancer, cervical intraepithelial neoplasia and chronic cervicitis by 1H NMR spectroscopy.

N Ye, C Liu, P Shi.   

Abstract

Metabolomics profiles of serum samples from women with chronic cervicitis, cervical intraepithelial neoplasia (CIN), and cervical cancer were characterized by proton nuclear magnetic resonance (1H NMR). These spectral profiles were subjected to partial least-squares discriminant analysis (PLS-DA), and good discriminations between cancerand non-cancer groups (chronic cervicitis and CIN) were achieved by multivariate modeling of serum profiles. The main metabolites contributing to these discriminations, as highlighted by multivariate analysis and confirmed by spectral integration, were formate, tyrosine, β-glucose, inositol, glycine, carnitine, glutamine, acetate, alanine, valine, isoleucine, and very-low-density lipoprotein (VLDL). Metabolomics analysis for chronic cervicitis, CIN, and cervical cancer is significant, which give a systemic metabolic response of these female diseases. The systemic metabolic response may be used to identify the potential biomarkers for the diseases.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26050356

Source DB:  PubMed          Journal:  Eur J Gynaecol Oncol        ISSN: 0392-2936            Impact factor:   0.196


  11 in total

1.  SIRT3 promotes the invasion and metastasis of cervical cancer cells by regulating fatty acid synthase.

Authors:  Li Xiu Xu; Li Jun Hao; Jun Qi Ma; Jing Kun Liu; Ayshamgul Hasim
Journal:  Mol Cell Biochem       Date:  2019-11-01       Impact factor: 3.396

2.  Epidemiological Investigation and Risk Factors for Cervical Lesions: Cervical Cancer Screening Among Women in Rural Areas of Henan Province China.

Authors:  Qingwei Zhang; Wenyan Xie; Feng Wang; Rong Hong Li; Lina Cui; Huifen Wang; Xiuhong Fu; Jiayu Song
Journal:  Med Sci Monit       Date:  2016-06-01

3.  A Comprehensive Analysis of Metabolomics and Transcriptomics in Cervical Cancer.

Authors:  Kai Yang; Bairong Xia; Wenjie Wang; Jinlong Cheng; Mingzhu Yin; Hongyu Xie; Junnan Li; Libing Ma; Chunyan Yang; Ang Li; Xin Fan; Harman S Dhillon; Yan Hou; Ge Lou; Kang Li
Journal:  Sci Rep       Date:  2017-02-22       Impact factor: 4.379

4.  Comparative Metabolomics Analysis of Cervicitis in Human Patients and a Phenol Mucilage-Induced Rat Model Using Liquid Chromatography Tandem Mass Spectrometry.

Authors:  Xiaoyong Zhang; Junmao Li; Bin Xie; Bei Wu; Shuangxia Lei; Yun Yao; Mingzhen He; Hui Ouyang; Yulin Feng; Wen Xu; Shilin Yang
Journal:  Front Pharmacol       Date:  2018-04-04       Impact factor: 5.810

5.  Molecular Signatures of High-Grade Cervical Lesions.

Authors:  Andreia M Porcari; Fernanda Negrão; Guilherme Lucas Tripodi; Denise Rocha Pitta; Elisabete Aparecida Campos; Douglas Munhoz Montis; Aline M A Martins; Marcos N Eberlin; Sophie F M Derchain
Journal:  Front Oncol       Date:  2018-04-12       Impact factor: 6.244

Review 6.  Recent Advances on the Molecular Mechanism of Cervical Carcinogenesis Based on Systems Biology Technologies.

Authors:  Min Lin; Miaomiao Ye; Junhan Zhou; Z Peter Wang; Xueqiong Zhu
Journal:  Comput Struct Biotechnol J       Date:  2019-02-07       Impact factor: 7.271

7.  Deciphering the complex interplay between microbiota, HPV, inflammation and cancer through cervicovaginal metabolic profiling.

Authors:  Zehra Esra Ilhan; Paweł Łaniewski; Natalie Thomas; Denise J Roe; Dana M Chase; Melissa M Herbst-Kralovetz
Journal:  EBioMedicine       Date:  2019-04-24       Impact factor: 8.143

8.  Tissue-based metabolomics reveals potential biomarkers for cervical carcinoma and HPV infection.

Authors:  Abulizi Abudula; Nuermanguli Rouzi; Lixiu Xu; Yun Yang; Axiangu Hasimu
Journal:  Bosn J Basic Med Sci       Date:  2020-02-05       Impact factor: 3.363

Review 9.  Metabolomics for Diagnosis and Prognosis of Uterine Diseases? A Systematic Review.

Authors:  Janina Tokarz; Jerzy Adamski; Tea Lanišnik Rižner
Journal:  J Pers Med       Date:  2020-12-21

10.  Non-targeted and targeted metabolomics approaches to diagnosing lung cancer and predicting patient prognosis.

Authors:  Xiaoli Zhang; Xinyue Zhu; Caihong Wang; Haixia Zhang; Zhiming Cai
Journal:  Oncotarget       Date:  2016-09-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.