Literature DB >> 27518463

Serum Metabolite Profiling for the Detection of Pancreatic Cancer: Results of a Large Independent Validation Study.

Hirofumi Akita1, Shawn A Ritchie, Ichiro Takemasa, Hidetoshi Eguchi, Elodie Pastural, Wei Jin, Yasuyo Yamazaki, Dayan B Goodenowe, Hiroaki Nagano, Morito Monden, Masaki Mori, Yuichiro Doki.   

Abstract

OBJECTIVES: To improve the detection of pancreatic cancer (PC), a robust diagnostic biomarker is essential. We have previously discovered 4 serum metabolites (PC-594, lysophosphatidylcholine, phosphatidylcholine, and sphingomyelin) in distinguishing patients with PC from healthy controls. Here, we report the results of our validation phase by using larger numbers of independent and blinded samples.
METHODS: We collected 3 mL of serum from 116 patients with PC and 138 healthy controls. Samples were blinded and expression of the 4 candidate metabolites in each sample was determined by triple quadrupole tandem mass spectrometry. We then used cutoffs established in the discovery phase to predict the disease state of each of the validation samples.
RESULTS: All 4 metabolites showed significantly lower expression in patients with PC compared with healthy controls. PC-594 showed 73.3% sensitivity and 92.0% specificity, whereas the other 3 metabolites showed 58.6% and 92.0%, 76.7% and 69.6%, and 58.6% and 81.9% sensitivity and specificity, respectively. Area under the receiver operating characteristic curve for PC-594 alone was 0.92, whereas a combination method using all 4 metabolites showed 86.2% sensitivity and 84.8% specificity.
CONCLUSIONS: Our validation results confirmed that a reduction in PC-594, along with 3 other serum-based choline metabolites, is highly associated with PC.

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Year:  2016        PMID: 27518463     DOI: 10.1097/MPA.0000000000000680

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  8 in total

1.  A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Authors:  Nguyen Phuoc Long; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Dong Kyu Lim; Yu Jin Hong; Soon-Sun Hong; Sung Won Kwon
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

2.  Molecular signatures of tumor progression in pancreatic adenocarcinoma identified by energy metabolism characteristics.

Authors:  Cong Tan; Xin Wang; Xu Wang; Weiwei Weng; Shu-Juan Ni; Meng Zhang; Hesheng Jiang; Lei Wang; Dan Huang; Weiqi Sheng; Mi-Die Xu
Journal:  BMC Cancer       Date:  2022-04-13       Impact factor: 4.430

3.  Serum Metabolomic Profiles for Human Pancreatic Cancer Discrimination.

Authors:  Takao Itoi; Masahiro Sugimoto; Junko Umeda; Atsushi Sofuni; Takayoshi Tsuchiya; Shujiro Tsuji; Reina Tanaka; Ryosuke Tonozuka; Mitsuyoshi Honjo; Fuminori Moriyasu; Kazuhiko Kasuya; Yuichi Nagakawa; Yuta Abe; Kimihiro Takano; Shigeyuki Kawachi; Motohide Shimazu; Tomoyoshi Soga; Masaru Tomita; Makoto Sunamura
Journal:  Int J Mol Sci       Date:  2017-04-04       Impact factor: 5.923

4.  Discovery of Pancreatic Adenocarcinoma Biomarkers by Untargeted Metabolomics.

Authors:  Ariadna Martín-Blázquez; Cristina Jiménez-Luna; Caridad Díaz; Joaquina Martínez-Galán; Jose Prados; Francisca Vicente; Consolación Melguizo; Olga Genilloud; José Pérez Del Palacio; Octavio Caba
Journal:  Cancers (Basel)       Date:  2020-04-18       Impact factor: 6.639

5.  A Plasma-Derived Protein-Metabolite Multiplexed Panel for Early-Stage Pancreatic Cancer.

Authors:  Johannes F Fahrmann; Leonidas E Bantis; Michela Capello; Ghislaine Scelo; Jennifer B Dennison; Nikul Patel; Eunice Murage; Jody Vykoukal; Deepali L Kundnani; Lenka Foretova; Eleonora Fabianova; Ivana Holcatova; Vladimir Janout; Ziding Feng; Michele Yip-Schneider; Jianjun Zhang; Randall Brand; Ayumu Taguchi; Anirban Maitra; Paul Brennan; C Max Schmidt; Samir Hanash
Journal:  J Natl Cancer Inst       Date:  2019-04-01       Impact factor: 13.506

Review 6.  Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Upper Gastrointestinal Cancers: A Systematic Review.

Authors:  Natalia Calanzani; Paige E Druce; Claudia Snudden; Kristi M Milley; Rachel Boscott; Dawnya Behiyat; Smiji Saji; Javiera Martinez-Gutierrez; Jasmeen Oberoi; Garth Funston; Mike Messenger; Jon Emery; Fiona M Walter
Journal:  Adv Ther       Date:  2020-12-11       Impact factor: 3.845

7.  Integrative analysis of metabolome and gut microbiota in Patients with pancreatic ductal adenocarcinoma.

Authors:  Xiaodong Guo; Zhengjun Hu; Shu Rong; Guoqun Xie; Gang Nie; Xuan Liu; Gang Jin
Journal:  J Cancer       Date:  2022-03-06       Impact factor: 4.207

8.  Pharmacometabolomics Identifies 3-Hydroxyadipic Acid, d-Galactose, Lysophosphatidylcholine (P-16:0), and Tetradecenoyl-l-Carnitine as Potential Predictive Indicators of Gemcitabine Efficacy in Pancreatic Cancer Patients.

Authors:  Dongyuan Wu; Xinyuan Li; Xiaohan Zhang; Fang Han; Xin Lu; Lei Liu; Junsheng Zhang; Mei Dong; Huanjie Yang; Hui Li
Journal:  Front Oncol       Date:  2020-01-29       Impact factor: 6.244

  8 in total

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