Literature DB >> 24736543

Noninvasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer.

Ewy A Mathé1, Andrew D Patterson2, Majda Haznadar2, Soumen K Manna2, Kristopher W Krausz2, Elise D Bowman2, Peter G Shields2, Jeffrey R Idle2, Philip B Smith2, Katsuhiro Anami2, Dickran G Kazandjian2, Emmanuel Hatzakis2, Frank J Gonzalez2, Curtis C Harris3.   

Abstract

Lung cancer remains the most common cause of cancer deaths worldwide, yet there is currently a lack of diagnostic noninvasive biomarkers that could guide treatment decisions. Small molecules (<1,500 Da) were measured in urine collected from 469 patients with lung cancer and 536 population controls using unbiased liquid chromatography/mass spectrometry. Clinical putative diagnostic and prognostic biomarkers were validated by quantitation and normalized to creatinine levels at two different time points and further confirmed in an independent sample set, which comprises 80 cases and 78 population controls, with similar demographic and clinical characteristics when compared with the training set. Creatine riboside (IUPAC name: 2-{2-[(2R,3R,4S,5R)-3,4-dihydroxy-5-(hydroxymethyl)-oxolan-2-yl]-1-methylcarbamimidamido}acetic acid), a novel molecule identified in this study, and N-acetylneuraminic acid (NANA) were each significantly (P < 0.00001) elevated in non-small cell lung cancer and associated with worse prognosis [HR = 1.81 (P = 0.0002), and 1.54 (P = 0.025), respectively]. Creatine riboside was the strongest classifier of lung cancer status in all and stage I-II cases, important for early detection, and also associated with worse prognosis in stage I-II lung cancer (HR = 1.71, P = 0.048). All measurements were highly reproducible with intraclass correlation coefficients ranging from 0.82 to 0.99. Both metabolites were significantly (P < 0.03) enriched in tumor tissue compared with adjacent nontumor tissue (N = 48), thus revealing their direct association with tumor metabolism. Creatine riboside and NANA may be robust urinary clinical metabolomic markers that are elevated in tumor tissue and associated with early lung cancer diagnosis and worse prognosis. ©2014 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24736543      PMCID: PMC4100625          DOI: 10.1158/0008-5472.CAN-14-0109

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  49 in total

1.  On the origin of cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-02-24       Impact factor: 47.728

Review 2.  Non-small cell lung cancer.

Authors:  David S Ettinger; Wallace Akerley; Gerold Bepler; Matthew G Blum; Andrew Chang; Richard T Cheney; Lucian R Chirieac; Thomas A D'Amico; Todd L Demmy; Apar Kishor P Ganti; Ramaswamy Govindan; Frederic W Grannis; Thierry Jahan; Mohammad Jahanzeb; David H Johnson; Anne Kessinger; Ritsuko Komaki; Feng-Ming Kong; Mark G Kris; Lee M Krug; Quynh-Thu Le; Inga T Lennes; Renato Martins; Janis O'Malley; Raymond U Osarogiagbon; Gregory A Otterson; Jyoti D Patel; Katherine M Pisters; Karen Reckamp; Gregory J Riely; Eric Rohren; George R Simon; Scott J Swanson; Douglas E Wood; Stephen C Yang
Journal:  J Natl Compr Canc Netw       Date:  2010-07       Impact factor: 11.908

3.  APTIMA PCA3 molecular urine test: development of a method to aid in the diagnosis of prostate cancer.

Authors:  Jack Groskopf; Sheila M J Aubin; Ina Lim Deras; Amy Blase; Sharon Bodrug; Craig Clark; Steven Brentano; Jeannette Mathis; Jimmykim Pham; Troels Meyer; Michelle Cass; Petrea Hodge; Maria Luz Macairan; Leonard S Marks; Harry Rittenhouse
Journal:  Clin Chem       Date:  2006-04-20       Impact factor: 8.327

Review 4.  Metabolomics in biomarker discovery: future uses for cancer prevention.

Authors:  Young S Kim; Padma Maruvada; John A Milner
Journal:  Future Oncol       Date:  2008-02       Impact factor: 3.404

5.  Identification of metabolic biomarkers for personalized nutrition.

Authors:  Jing X Kang
Journal:  J Nutrigenet Nutrigenomics       Date:  2012-09-04

6.  Crizotinib for EML4-ALK positive lung adenocarcinoma: a hope for the advanced disease? Evaluation of Kwak EL, Bang YJ, Camidge DR, et al. Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N Engl J Med 2010;363(18):1693-703.

Authors:  Sabina Antonela Antoniu
Journal:  Expert Opin Ther Targets       Date:  2011-01-05       Impact factor: 6.902

7.  Nutritional impact on the plasma metabolome of rats.

Authors:  W Mellert; M Kapp; V Strauss; J Wiemer; H Kamp; T Walk; R Looser; A Prokoudine; E Fabian; G Krennrich; M Herold; B van Ravenzwaay
Journal:  Toxicol Lett       Date:  2011-09-03       Impact factor: 4.372

8.  Sialic acids: fascinating sugars in higher animals and man.

Authors:  Roland Schauer
Journal:  Zoology (Jena)       Date:  2004       Impact factor: 2.240

9.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

10.  Lung adjuvant cisplatin evaluation: a pooled analysis by the LACE Collaborative Group.

Authors:  Jean-Pierre Pignon; Hélène Tribodet; Giorgio V Scagliotti; Jean-Yves Douillard; Frances A Shepherd; Richard J Stephens; Ariane Dunant; Valter Torri; Rafael Rosell; Lesley Seymour; Stephen G Spiro; Estelle Rolland; Roldano Fossati; Delphine Aubert; Keyue Ding; David Waller; Thierry Le Chevalier
Journal:  J Clin Oncol       Date:  2008-05-27       Impact factor: 44.544

View more
  61 in total

Review 1.  Defining the metabolome: size, flux, and regulation.

Authors:  Nicola Zamboni; Alan Saghatelian; Gary J Patti
Journal:  Mol Cell       Date:  2015-05-21       Impact factor: 17.970

Review 2.  Metabolomics in epidemiologic research: challenges and opportunities for early-career epidemiologists.

Authors:  Eline H van Roekel; Erikka Loftfield; Rachel S Kelly; Oana A Zeleznik; Krista A Zanetti
Journal:  Metabolomics       Date:  2019-01-07       Impact factor: 4.290

3.  Metabonomics reveals metabolite changes in biliary atresia infants.

Authors:  Kejun Zhou; Guoxiang Xie; Jun Wang; Aihua Zhao; Jiajian Liu; Mingming Su; Yan Ni; Ying Zhou; Weihua Pan; Yanran Che; Ting Zhang; Yongtao Xiao; Yang Wang; Jie Wen; Wei Jia; Wei Cai
Journal:  J Proteome Res       Date:  2015-04-27       Impact factor: 4.466

4.  Urinary Metabolite Risk Biomarkers of Lung Cancer: A Prospective Cohort Study.

Authors:  Majda Haznadar; Qiuyin Cai; Kristopher W Krausz; Elise D Bowman; Ezra Margono; Rintaro Noro; Matthew D Thompson; Ewy A Mathé; Heather M Munro; Mark D Steinwandel; Frank J Gonzalez; William J Blot; Curtis C Harris
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-03-24       Impact factor: 4.254

5.  Improved detection and precise relative quantification of the urinary cancer metabolite biomarkers - Creatine riboside, creatinine riboside, creatine and creatinine by UPLC-ESI-MS/MS: Application to the NCI-Maryland cohort population controls and lung cancer cases.

Authors:  Daxesh P Patel; Gary T Pauly; Takeshi Tada; Amelia L Parker; Leila Toulabi; Yasuyuki Kanke; Takahiro Oike; Kristopher W Krausz; Frank J Gonzalez; Curtis C Harris
Journal:  J Pharm Biomed Anal       Date:  2020-09-01       Impact factor: 3.935

Review 6.  Nuclear magnetic resonance spectroscopy as a new approach for improvement of early diagnosis and risk stratification of prostate cancer.

Authors:  Bo Yang; Guo-Qiang Liao; Xiao-Fei Wen; Wei-Hua Chen; Sheng Cheng; Jens-Uwe Stolzenburg; Roman Ganzer; Jochen Neuhaus
Journal:  J Zhejiang Univ Sci B       Date:  2017 Nov.       Impact factor: 3.066

Review 7.  The hallmarks of premalignant conditions: a molecular basis for cancer prevention.

Authors:  Bríd M Ryan; Jessica M Faupel-Badger
Journal:  Semin Oncol       Date:  2015-09-08       Impact factor: 4.929

8.  Metabolomics: beyond biomarkers and towards mechanisms.

Authors:  Caroline H Johnson; Julijana Ivanisevic; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2016-03-16       Impact factor: 94.444

9.  Integration of multiple "OMIC" biomarkers: A precision medicine strategy for lung cancer.

Authors:  Ana I Robles; Curtis C Harris
Journal:  Lung Cancer       Date:  2016-06-14       Impact factor: 5.705

10.  Metabolomic profiles of current cigarette smokers.

Authors:  Ping-Ching Hsu; Renny S Lan; Theodore M Brasky; Catalin Marian; Amrita K Cheema; Habtom W Ressom; Christopher A Loffredo; Wallace B Pickworth; Peter G Shields
Journal:  Mol Carcinog       Date:  2016-08-22       Impact factor: 4.784

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.