Literature DB >> 30723176

A Prospective Targeted Serum Metabolomics Study of Pancreatic Cancer in Postmenopausal Women.

Li Jiao1,2,3,4,5, Suman Maity6, Cristian Coarfa3,6, Kimal Rajapakshe7, Liang Chen8,2, Feng Jin6, Vasanta Putluri6, Lesley F Tinker9, Qianxing Mo6, Fengju Chen3, Subrata Sen10, Haleh Sangi-Hyghpeykar11, Hashem B El-Serag8,2,3,4, Nagireddy Putluri3,6,7.   

Abstract

To examine the association between metabolic deregulation and pancreatic cancer, we conducted a two-stage case-control targeted metabolomics study using prediagnostic sera collected one year before diagnosis in the Women's Health Initiative study. We used the LC/MS to quantitate 470 metabolites in 30 matched case/control pairs. From 180 detectable metabolites, we selected 14 metabolites to be validated in additional 18 matched case/control pairs. We used the paired t test to compare the concentrations of each metabolite between cases and controls and used the log fold change (FC) to indicate the magnitude of difference. FDR adjusted q-value < 0.25 was indicated statistically significant. Logistic regression model and ROC curve analysis were used to evaluate the clinical utility of the metabolites. Among 30 case/control pairs, 1-methyl-l-tryptophan (L-1MT) was significantly lower in the cases than in the controls (log2 FC = -0.35; q-value = 0.03). The area under the ROC curve was 0.83 in the discrimination analysis based on the levels of L-1MT, acadesine, and aspartic acid. None of the metabolites was validated in additional independent 18 case/control pairs. No significant association was found between the examined metabolites and undiagnosed pancreatic cancer. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30723176      PMCID: PMC6445762          DOI: 10.1158/1940-6207.CAPR-18-0201

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  44 in total

1.  Distinguishing pancreatic cancer from chronic pancreatitis and healthy individuals by (1)H nuclear magnetic resonance-based metabonomic profiles.

Authors:  Lin Zhang; Haifeng Jin; Xuegang Guo; Zhao Yang; Lina Zhao; Shanhong Tang; Ping Mo; Kaichun Wu; Yongzhan Nie; Yanglin Pan; Daiming Fan
Journal:  Clin Biochem       Date:  2012-05-19       Impact factor: 3.281

2.  Pancreatic cancer screening using a multiplatform human serum metabolomics system.

Authors:  Arata Sakai; Makoto Suzuki; Takashi Kobayashi; Shin Nishiumi; Kodai Yamanaka; Yuichi Hirata; Takashi Nakagawa; Takeshi Azuma; Masaru Yoshida
Journal:  Biomark Med       Date:  2016-05-12       Impact factor: 2.851

3.  A positive/negative ion-switching, targeted mass spectrometry-based metabolomics platform for bodily fluids, cells, and fresh and fixed tissue.

Authors:  Min Yuan; Susanne B Breitkopf; Xuemei Yang; John M Asara
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

4.  Pancreatic ductal adenocarcinoma is associated with a distinct urinary metabolomic signature.

Authors:  Vanessa W Davis; Daniel E Schiller; Dean Eurich; Oliver F Bathe; Michael B Sawyer
Journal:  Ann Surg Oncol       Date:  2012-10-25       Impact factor: 5.344

Review 5.  The complex landscape of pancreatic cancer metabolism.

Authors:  Cristovão Marques Sousa; Alec C Kimmelman
Journal:  Carcinogenesis       Date:  2014-04-17       Impact factor: 4.944

6.  Integration of metabolomics and transcriptomics revealed a fatty acid network exerting growth inhibitory effects in human pancreatic cancer.

Authors:  Geng Zhang; Peijun He; Hanson Tan; Anuradha Budhu; Jochen Gaedcke; B Michael Ghadimi; Thomas Ried; Harris G Yfantis; Dong H Lee; Anirban Maitra; Nader Hanna; H Richard Alexander; S Perwez Hussain
Journal:  Clin Cancer Res       Date:  2013-08-05       Impact factor: 12.531

7.  Serum metabolomics differentiating pancreatic cancer from new-onset diabetes.

Authors:  Xiangyi He; Jie Zhong; Shuwei Wang; Yufen Zhou; Lei Wang; Yongping Zhang; Yaozong Yuan
Journal:  Oncotarget       Date:  2017-04-25

8.  Metabolomics based predictive classifier for early detection of pancreatic ductal adenocarcinoma.

Authors:  Keith Unger; Khyati Y Mehta; Prabhjit Kaur; Yiwen Wang; Smrithi S Menon; Shreyans K Jain; Rose A Moonjelly; Shubhankar Suman; Kamal Datta; Rajbir Singh; Paul Fogel; Amrita K Cheema
Journal:  Oncotarget       Date:  2018-05-01

9.  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

10.  Metabolomic biomarkers of pancreatic cancer: a meta-analysis study.

Authors:  Khyati Y Mehta; Hung-Jen Wu; Smrithi S Menon; Yassi Fallah; Xiaogang Zhong; Nasser Rizk; Keith Unger; Mark Mapstone; Massimo S Fiandaca; Howard J Federoff; Amrita K Cheema
Journal:  Oncotarget       Date:  2017-08-18
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  9 in total

1.  The Association between Serum Serine and Glycine and Related-Metabolites with Pancreatic Cancer in a Prospective Cohort Study.

Authors:  Hung N Luu; Pedram Paragomi; Renwei Wang; Joyce Y Huang; Jennifer Adams-Haduch; Øivind Midttun; Arve Ulvik; Tin C Nguyen; Randall E Brand; Yutang Gao; Per Magne Ueland; Jian-Min Yuan
Journal:  Cancers (Basel)       Date:  2022-04-28       Impact factor: 6.575

2.  Associations between metabolites and pancreatic cancer risk in a large prospective epidemiological study.

Authors:  Rachael Stolzenberg-Solomon; Andriy Derkach; Steven Moore; Stephanie J Weinstein; Demetrius Albanes; Joshua Sampson
Journal:  Gut       Date:  2020-02-14       Impact factor: 23.059

3.  Serum PlGF and EGF are independent prognostic markers in non-metastatic colorectal cancer.

Authors:  Sebastian Schölch; Andreas Bogner; Ulrich Bork; Mohammad Rahbari; Balázs Győrffy; Martin Schneider; Christoph Reissfelder; Jürgen Weitz; Nuh N Rahbari
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

4.  UPLC‑MS/MS‑based metabolomic characterization and comparison of pancreatic adenocarcinoma tissues using formalin‑fixed, paraffin‑embedded and optimal cutting temperature‑embedded materials.

Authors:  Di Feng; Jing Yuan; Qi Liu; Li Liu; Xu Zhang; Yali Wu; Yifan Qian; Liping Chen; Yan Shi; Mancang Gu
Journal:  Int J Oncol       Date:  2019-10-14       Impact factor: 5.650

5.  IDO1 Expression in Ovarian Cancer Induces PD-1 in T Cells via Aryl Hydrocarbon Receptor Activation.

Authors:  Adaobi Amobi-McCloud; Ravikumar Muthuswamy; Sebastiano Battaglia; Han Yu; Tao Liu; Jianmin Wang; Vasanta Putluri; Prashant K Singh; Feng Qian; Ruea-Yea Huang; Nagireddy Putluri; Takemasa Tsuji; Amit A Lugade; Song Liu; Kunle Odunsi
Journal:  Front Immunol       Date:  2021-04-16       Impact factor: 8.786

6.  Metabolomics Identifies Biomarker Signatures to Differentiate Pancreatic Cancer from Type 2 Diabetes Mellitus in Early Diagnosis.

Authors:  Hongmin Xu; Lei Zhang; Hua Kang; Jie Liu; Jiandong Zhang; Jie Zhao; Shuye Liu
Journal:  Int J Endocrinol       Date:  2021-11-25       Impact factor: 3.257

7.  Metabolomics Signatures and Subsequent Maternal Health among Mothers with a Congenital Heart Defect-Affected Pregnancy.

Authors:  Ping-Ching Hsu; Suman Maity; Jenil Patel; Philip J Lupo; Wendy N Nembhard
Journal:  Metabolites       Date:  2022-01-21

8.  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

9.  Metabolomic Detection Between Pancreatic Cancer and Liver Metastasis Nude Mouse Models Constructed by Using the PANC1-KAI1/CD82 Cell Line.

Authors:  Shuo Wang; Jiang Chen; Hongyu Li; Xingshun Qi; Xu Liu; Xiaozhong Guo
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  9 in total

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