Metabolomic Profiling of Blood Plasma in Females with Hyperplasia and Endometrial Cancer

Author:

Benabdelkamel Hicham1,Jaber Malak A.2,Akkour Khalid3ORCID,AlMalki Reem H.4,Alfadda Assim A.15ORCID,Masood Afshan1ORCID,Joy Salini Scaria1ORCID,Alhalal Hani3,Alwehaibi Moudi A.1ORCID,Arafah Maria6ORCID,Alshehri Eman3,Abdel Rahman Anas M.7ORCID

Affiliation:

1. Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia

2. Pharmaceutical Medicinal Chemistry & Pharmacognosy, Faculty of Pharmacy and Medical Sciences, University of Petra, Amman 1196, Jordan

3. Obstetrics and Gynecology Department, College of Medicine, King Saud University Medical City, King Saud University, Riyadh 11461, Saudi Arabia

4. Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11461, Saudi Arabia

5. Department of Medicine, College of Medicine, King Saud University Medical City, King Saud University, Riyadh 11461, Saudi Arabia

6. Department of Pathology, College of Medicine, King Saud University Medical City, King Saud University, Riyadh 11461, Saudi Arabia

7. Metabolomics Section, Department of Clinical Genomics, Center for Genome Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh 11211, Saudi Arabia

Abstract

Uterine cancer is the most prevalent gynecologic malignancy in women worldwide. Endometrial cancer (EC) has an 81% five-year survival rate, depending on disease stage and time of diagnosis. While endometrial cancer is largely treatable when detected early, no established screening techniques are available in clinical practice. As a result, one of the most significant issues in the medical field is the development of novel ways for early cancer identification, which could boost treatment success rates. Liquid chromatography–high-resolution mass spectrometry (LC-HRMS)-based metabolomics was employed to explore the metabolomic markers and pathways unique to this cancer type and link them to the benign endometrial hyperplasia that may progress to cancer in 5% to 25% of patients. The study involved 59 postmenopausal participants, 20 with EC type 1, 20 with benign hyperplasia, and 19 healthy participants. Metabolite distribution changes were analyzed, and 338 of these features were dysregulated and significant. The first two main components, PC1 and PC2, were responsible for 11.5% and 12.2% of the total metabolites, respectively. Compared with the control group (CO), EC samples had 203 differentially expressed metabolites (180 upregulated and 23 downregulated); in hyperplasia (HP), 157 metabolites were dysregulated (127 upregulated and 30 downregulated) compared to the CO group while 21 metabolites exhibited differential regulation (16 upregulated and 5 downregulated) in EC plasma samples compared to the HP group. Hyperplasia samples exhibited similar metabolic changes to those reported in cancer, except for alterations in triglyceride levels, 7a,12 b-dihydroxy-5b-Cholan-24-oic acid, and Hept-2-enedioyl carnitine levels. The metabolites N-heptanoyl glycine and -(Methylthio)-2,3-isopentyl phosphate and formimino glutamic acid can be specific markers for hyperplasia conditions and dimethyl phosphatidyl ethanolamine and 8-isoprostaglandin E2 can be specific markers for EC conditions. Metabolic activities rely on mitochondrial oxidative phosphorylation for energy generation. The changes in metabolites identified in our study indicate that endometrial cancer cells adopt alternative strategies to increase energy production to meet the energy demand, thereby supporting proliferation.

Funder

Research & Innovation, “Ministry of Education” in Saudi Arabia

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

Reference54 articles.

1. A brief introduction to web-based genome browsers;Wang;Brief. Bioinform.,2013

2. Corpus, C.U., and Vulva, U.O.V. (2019). Gynecologic Cancer Incidence, United States—2012–2016, Centers for Disease Control and Prevention, US Department of Health and Human Services.

3. Board, E. (2023, April 01). Uterine Cancer: Statistics. 03/2023. Available online: https://www.cancer.net/cancer-types/uterine-cancer/statistics.

4. Two pathogenetic types of endometrial carcinoma;Bokhman;Gynecol. Oncol.,1983

5. Cancer Research UK (2023, March 31). Types and Grades of Womb Cancer. Available online: https://www.cancerresearchuk.org/about-cancer/womb-cancer/types-grades.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3