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Original Articles
- Profiling of Serum Metabolites Using MALDI-TOF and Triple-TOF Mass Spectrometry to Develop a Screen for Ovarian Cancer
- Jun Hwa Lee, Yun Hwan Kim, Kyung-Hee Kim, Jae Youl Cho, Sang Myung Woo, Byong Chul Yoo, Seung Cheol Kim
- Cancer Res Treat. 2018;50(3):883-893. Published online September 18, 2017
- DOI: https://doi.org/10.4143/crt.2017.275
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Abstract
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Supplementary Material
PubReader
ePub - Purpose
We sought to develop a matrix assisted laser desorption ionization-time of flight (MALDI-TOF)-based, ovarian cancer (OVC), low-mass-ion discriminant equation (LOME) and to evaluate a possible supportive role for triple-TOF mass analysis in identifying metabolic biomarkers.
Materials and Methods
A total of 114 serum samples from patients with OVC and benign ovarian tumors were subjected to MALDI-TOF analysis and a total of 137 serum samples from healthy female individuals and patients with OVC, colorectal cancer, hepatobiliary cancer, and pancreatic cancer were subjected to triple-TOF analysis. An OVC LOME was constructed by reference to the peak intensity ratios of discriminatory low-mass ion (LMI) pairs. Triple-TOF analysiswas used to select and identify metabolic biomarkers for OVC screening.
Results
Three OVC LOMEs were finally constructed using discriminatory LMI pairs (137.1690 and 84.4119 m/z; 496.5022 and 709.7642 m/z; and 524.5614 and 709.7642 m/z); all afforded accuracies of > 90%. The LMIs at 496.5022 m/z and 524.5614 m/z were those of lysophosphatidylcholine (LPC) 16:0 and LPC 18:0. Triple-TOF analysis selected seven discriminative LMIs; each LMI had a specificity > 90%. Of the seven LMIs, fourwith a 137.0455 m/z ion atretention times of 2.04-3.14 minuteswere upregulated in sera from OVC patients; the ion was identified as that derived from hypoxanthine.
Conclusion
MALDI-TOF–based OVC LOMEs combined with triple-TOF–based OVC metabolic biomarkers allow reliable OVC screening; the techniques are mutually complementary both quantitatively and qualitatively. -
Citations
Citations to this article as recorded by
- Detection of Protein and Metabolites in Cancer Analyses by MALDI 2000–2025
Dorota Bartusik-Aebisher, Daniel Roshan Justin Raj, David Aebisher
Cancers.2025; 17(21): 3524. CrossRef - Preliminary Metabolomics Study Suggests Favorable Metabolic Changes in the Plasma of Breast Cancer Patients after Surgery and Adjuvant Treatment
Andrea Jiménez-Franco, Juan Manuel Jiménez-Aguilar, Marta Canela-Capdevila, Raquel García-Pablo, Helena Castañé, Cristian Martínez-Navidad, Pablo Araguas, Bárbara Malavé, Rocío Benavides-Villarreal, Johana C. Acosta, Alina Iuliana Onoiu, Navita Somaiah, J
Biomedicines.2024; 12(10): 2196. CrossRef - Circulating proteins as predictive and prognostic biomarkers in breast cancer
Hugo Veyssière, Yannick Bidet, Frederique Penault-Llorca, Nina Radosevic-Robin, Xavier Durando
Clinical Proteomics.2022;[Epub] CrossRef - Applications of MALDI-MS/MS-Based Proteomics in Biomedical Research
Laura Darie-Ion, Danielle Whitham, Madhuri Jayathirtha, Yashveen Rai, Anca-Narcisa Neagu, Costel C. Darie, Brînduşa Alina Petre
Molecules.2022; 27(19): 6196. CrossRef - Methylglyoxal Adducts Levels in Blood Measured on Dried Spot by Portable Near-Infrared Spectroscopy
Giuseppe Bonapace, Francesco Gentile, Nicola Coppedé, Maria Laura Coluccio, Virginia Garo, Marco Flavio Michele Vismara, Patrizio Candeloro, Giuseppe Donato, Natalia Malara
Nanomaterials.2021; 11(9): 2432. CrossRef - Identification of New Peptide Biomarkers for Bacterial Bloodstream Infection
Yating Ma, Xinyu Wen, Yi Kong, Chen Chen, Ming Yang, Shang He, Jianan Wang, Chengbin Wang
PROTEOMICS – Clinical Applications.2020;[Epub] CrossRef - Performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) in diagnosis of ovarian cancer: a systematic review and meta-analysis
Kexin Li, Yuqing Pei, Yue Wu, Yi Guo, Wei Cui
Journal of Ovarian Research.2020;[Epub] CrossRef - Comparative cerebrospinal fluid metabolites profiling in glioma patients to predict malignant transformation and leptomeningeal metastasis with a potential for preventive personalized medicine
Ji Hye Im, Byong Chul Yoo, Jun Hwa Lee, Kyung-Hee Kim, Tae Hoon Kim, Kyue-Yim Lee, Jong Heon Kim, Jong Bae Park, Ji-Woong Kwon, Sang Hoon Shin, Heon Yoo, Ho-Shin Gwak
EPMA Journal.2020; 11(3): 469. CrossRef - Exploring Serum Metabolic Markers for the Discrimination of Ccrcc From Renal Angiomyolipoma By Metabolomics
Mingfeng Xiang, Feng Du, Jing Dai, Ling Chen, Ruijin Geng, Huiming Huang, Baogang Xie
Biomarkers in Medicine.2020; 14(8): 675. CrossRef - Metabolomic Biomarkers in Gynecology: A Treasure Path or a False Path?
Igor Govorov , Stanislav Sitkin , Tatyana Pervunina , Alexey Moskvin , Denis Baranenko , Eduard Komlichenko
Current Medicinal Chemistry.2020; 27(22): 3611. CrossRef
- Detection of Protein and Metabolites in Cancer Analyses by MALDI 2000–2025
- 13,509 View
- 253 Download
- 11 Web of Science
- 10 Crossref
- Identification of Hypoxanthine and Phosphoenolpyruvic Acid as Serum Markers of Chemoradiotherapy Response in Locally Advanced Rectal Cancer
- Kun Kim, Seung-Gu Yeo, Byong Chul Yoo
- Cancer Res Treat. 2015;47(1):78-89. Published online August 21, 2014
- DOI: https://doi.org/10.4143/crt.2013.127
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Abstract
PDFPubReaderePub
- Purpose
Patients show variable responses to chemoradiotherapy (CRT), which is generally administered before surgery for locally advanced rectal cancer (LARC). The aim of this study was to identify molecular markers predictive of CRT responses by analysis of low-mass ions (LMIs) in serum of LARC patients. Materials and Methods LMIs (< 1,000 m/z) in serum obtained before CRT from 73 LARC (cT3-4) patients were profiled using matrix-assisted laser desorption/ionization mass spectrometry. LMIs with higher weighting factors in discriminating CRT responses were selected using principal components analysis and discriminant analysis. Selected LMIs were identified using the Human Metabolome Database. The concentrations of identified LMIs were determined by colorimetric enzyme assay, and compared according to post-CRT pathological stage (ypStage) or Dworak’s tumor regression grade (TRG). Results The nine highest-ranking LMIs were selected. Among them, two LMIs with 137.08 and 169.04 m/z were identified as hypoxanthine (HX) and phosphoenolpyruvic acid (PEP), respectively. Higher HX concentration was observed in patients with ypStage 0-1 compared to ypStage 2-4 (p=0.034) or ypStage 3-4 (p=0.030); a similar difference was observed between TRG 4-3 and TRG 1 (p=0.035). HX > 16.0 μM showed significant association with ypStage 0-1 or TRG 4-3 than ypStage 3-4 (p=0.009) or TRG 1 (p=0.024), respectively. In contrast, a significantly lower concentration of PEP was observed in TRG 4-3 compared with TRG 2-1 (p=0.012). Conclusion Findings of this study demonstrated that serum concentrations of HX and PEP, identified using LMI profiling, may be useful for predicting the CRT response of LARC patients before treatment. -
Citations
Citations to this article as recorded by- A single urine test-based SERS–AI–BAM for on-site multiple cancer diagnosis and metabolite profiling
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Chemical Engineering Journal.2026; 530: 173116. CrossRef - Pilot Study of Metabolomic Biomarkers Associated with Outcomes in Patients with Lung Cancer Undergoing Radiation Therapy
Wei Meng, Rui Xu, Eric Miller, Xiaowei Sun, Jennifer Thurmond, Amy Webb, Joseph McElroy, Joshua Palmer, Dominic J. DiCostanzo, Shiqi Zhang, Hisashi Yamaguchi, Saikh Jaharul Haque, Jiangjiang Zhu, Arnab Chakravarti
Journal of Proteome Research.2025; 24(4): 1662. CrossRef - Metabolomic profiling identifies hair as a robust biological sample for identifying women with cervical cancer
Rui Ran, Xiaocui Zhong, Yang Yang, Xianglan Tang, Manlin Shi, Xingwei Jiang, Anping Lin, Xiaoling Gan, Tinghe Yu, Lina Hu, Xiaojing Dong, Ting-Li Han
Medical Oncology.2023;[Epub] CrossRef - Effect of heat and hypoxia stress on mitochondrion and energy metabolism in the gill of hard clam
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Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology.2023; 266: 109556. CrossRef - Phosphoenolpyruvate regulates the Th17 transcriptional program and inhibits autoimmunity
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Cell Reports.2023; 42(3): 112205. CrossRef - Increased ENT2 expression and its association with altered purine metabolism in cell lines derived from different stages of colorectal cancer
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Experimental and Therapeutic Medicine.2023;[Epub] CrossRef - Changes of serum metabolites levels during neoadjuvant chemoradiation and prediction of the pathological response in locally advanced rectal cancer
Jiali Lv, Huixun Jia, Miao Mo, Jing Yuan, Zhenyu Wu, Shuai Zhang, Fan Zhe, Bingbing Gu, Bingbing Fan, Chunxia Li, Tao Zhang, Ji Zhu
Metabolomics.2022;[Epub] CrossRef - Biomarkers for Predicting the Response to Radiation-Based Neoadjuvant Therapy in Rectal Cancer
Yuhong Chen, Biao Yang, Mingyang Chen, Zhaojun Li, Zhengyin Liao
Frontiers in Bioscience-Landmark.2022;[Epub] CrossRef - Comprehensive Plasma Metabolomic Profile of Patients with Advanced Neuroendocrine Tumors (NETs). Diagnostic and Biological Relevance
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Cancers.2021; 13(11): 2634. CrossRef - Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
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World Journal of Gastrointestinal Oncology.2018; 10(7): 145. CrossRef - Non-operative management of rectal cancer: understanding tumor biology
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EPMA Journal.2017; 8(1): 61. CrossRef - Predictive and Prognostic Molecular Biomarkers for Response to Neoadjuvant Chemoradiation in Rectal Cancer
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International Journal of Molecular Sciences.2017; 18(3): 573. CrossRef - Global and targeted serum metabolic profiling of colorectal cancer progression
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Cancer Letters.2016; 382(1): 118. CrossRef - Seven low-mass ions in pretreatment serum as potential predictive markers of the chemoradiotherapy response of rectal cancer
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Chemical Communications.2016; 52(80): 11991. CrossRef - Carcinoembryonic antigen has prognostic value for tumor downstaging and recurrence in rectal cancer after preoperative chemoradiotherapy and curative surgery: A multi-institutional and case-matched control study of KROG 14-12
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- 88 Download
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