Metabolomic-Based Approaches for Endometrial Cancer Diagnosis and Prognosis: A Review

被引:3
作者
Alberti-Valls, Manel [1 ]
Megino-Luque, Cristina [1 ,2 ]
Macia, Anna [1 ]
Gatius, Sonia [1 ,3 ]
Matias-Guiu, Xavier [1 ,3 ,4 ]
Eritja, Nuria [1 ,3 ]
机构
[1] Univ Lleida, Biomed Res Inst Lleida IRBLleida, Oncol Pathol Grp, Av Rovira Roure 80, Lleida 25198, Spain
[2] Icahn Sch Med Mt Sinai, Tisch Canc Inst, Dept Med, Div Hematol & Oncol, New York, NY 10029 USA
[3] Hosp Bellvitge Princeps Espanya, Bellvitge Biomed Res Inst IDIBELL, Dept Pathol, Oncobell Program,Ctr Invest Biomed Canc CIBERONC, Gran Via Hosp 199, Barcelona 08908, Spain
[4] Bellvitge Biomed Res Inst IDIBELL, Lab Precis Med, Oncobell Program, Dept Pathol,Hosp Bellvitge, Gran Via Hosp 199, Barcelona 08908, Spain
关键词
endometrial cancer; metabolomics; biomarker discovery; metabolic profile; BIOMARKER DISCOVERY; PHOSPHATIDYLCHOLINES; CLASSIFICATION; GUIDELINES; CARCINOMA;
D O I
10.3390/cancers16010185
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Endometrial cancer, the most common gynecological malignancy in developed countries, poses a growing challenge with rising incidence and mortality rates. This review explores how metabolomic technology can offer valuable insights into the molecular aspects of the disease. By identifying new possible metabolite biomarkers, it has the potential to improve the accuracy of diagnosis, prognosis, and monitoring, thereby revolutionizing the management of endometrial cancer.Abstract Endometrial cancer, the most prevalent gynecological malignancy in developed countries, is experiencing a sustained rise in both its incidence and mortality rates, primarily attributed to extended life expectancy and lifestyle factors. Currently, the absence of precise diagnostic tools hampers the effective management of the expanding population of women at risk of developing this disease. Furthermore, patients diagnosed with endometrial cancer require precise risk stratification to align with optimal treatment planning. Metabolomics technology offers a unique insight into the molecular landscape of endometrial cancer, providing a promising approach to address these unmet needs. This comprehensive literature review initiates with an overview of metabolomic technologies and their intrinsic workflow components, aiming to establish a fundamental understanding for the readers. Subsequently, a detailed exploration of the existing body of research is undertaken with the objective of identifying metabolite biomarkers capable of enhancing current strategies for endometrial cancer diagnosis, prognosis, and recurrence monitoring. Metabolomics holds vast potential to revolutionize the management of endometrial cancer by providing accuracy and valuable insights into crucial aspects.
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页数:16
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共 80 条
[1]  
Abbink K, 2018, TUMOUR BIOL, V40, DOI [DOI 10.1177/1010428318757103, 10.1177/1010428318757103]
[2]   Metabolomic and Lipidomic Profiling Identifies The Role of the RNA Editing Pathway in Endometrial Carcinogenesis [J].
Altadill, Tatiana ;
Dowdy, Tyrone M. ;
Gill, Kirandeep ;
Reques, Armando ;
Menon, Smrithi S. ;
Moiola, Cristian P. ;
Lopez-Gil, Carlos ;
Coll, Eva ;
Matias-Guiu, Xavier ;
Cabrera, Silvia ;
Garcia, Angel ;
Reventos, Jaume ;
Byers, Stephen W. ;
Gil-Moreno, Antonio ;
Cheema, Amrita K. ;
Colas, Eva .
SCIENTIFIC REPORTS, 2017, 7
[3]   The era of big data: Genome-scale modelling meets machine learning [J].
Antonakoudis, Athanasios ;
Barbosa, Rodrigo ;
Kotidis, Pavlos ;
Kontoravdi, Cleo .
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2020, 18 :3287-3300
[4]   Metabolomics: The Stethoscope for the Twenty-First Century [J].
Ashrafian, Hutan ;
Sounderajah, Viknesh ;
Glen, Robert ;
Ebbels, Timothy ;
Blaise, Benjamin J. ;
Kalra, Dipak ;
Kultima, Kim ;
Spjuth, Ola ;
Tenori, Leonardo ;
Salek, Reza M. ;
Kale, Namrata ;
Haug, Kenneth ;
Schober, Daniel ;
Rocca-Serra, Philippe ;
O'Donovan, Claire ;
Steinbeck, Christoph ;
Cano, Isaac ;
de Atauri, Pedro ;
Cascante, Marta .
MEDICAL PRINCIPLES AND PRACTICE, 2021, 30 (04) :301-310
[5]   Identification of Metabolomic Biomarkers for Endometrial Cancer and Its Recurrence after Surgery in Postmenopausal Women [J].
Audet-Delage, Yannick ;
Villeneuve, Lyne ;
Gregoire, Jean ;
Plante, Marie ;
Guillemette, Chantal .
FRONTIERS IN ENDOCRINOLOGY, 2018, 9
[6]   Metabolomic prediction of endometrial cancer [J].
Bahado-Singh, Ray O. ;
Lugade, Amit ;
Field, Jayson ;
Al-Wahab, Zaid ;
Han, BeomSoo ;
Mandal, Rupasri ;
Bjorndahl, Trent C. ;
Turkoglu, Onur ;
Graham, Stewart F. ;
Wishart, David ;
Odunsi, Kunle .
METABOLOMICS, 2018, 14 (01)
[7]   A Review of Applications of Metabolomics in Cancer [J].
Beger, Richard D. .
METABOLITES, 2013, 3 (03) :552-574
[8]   FIGO staging of endometrial cancer: 2023 [J].
Berek, Jonathan S. ;
Matias-Guiu, Xavier ;
Creutzberg, Carien ;
Fotopoulou, Christina ;
Gaffney, David ;
Kehoe, Sean ;
Lindemann, Kristina ;
Mutch, David .
JOURNAL OF GYNECOLOGIC ONCOLOGY, 2023, 34 (05)
[9]   2 PATHOGENETIC TYPES OF ENDOMETRIAL CARCINOMA [J].
BOKHMAN, JV .
GYNECOLOGIC ONCOLOGY, 1983, 15 (01) :10-17
[10]   Guide to Metabolomics Analysis: A Bioinformatics Workflow [J].
Chen, Yang ;
Li, En-Min ;
Xu, Li-Yan .
METABOLITES, 2022, 12 (04)