Literature DB >> 33693668

CMBD: a manually curated cancer metabolic biomarker knowledge database.

Jing Chen1,2, Xingyun Liu1, Li Shen1, Yuxin Lin3, Bairong Shen1.   

Abstract

The pathogenesis of cancer is influenced by interactions among genes, proteins, metabolites and other small molecules. Understanding cancer progression at the metabolic level is propitious to the visual decoding of changes in living organisms. To date, a large number of metabolic biomarkers in cancer have been measured and reported, which provide an alternative method for cancer precision diagnosis, treatment and prognosis. To systematically understand the heterogeneity of cancers, we developed the database CMBD to integrate the cancer metabolic biomarkers scattered over literatures in PubMed. At present, CMBD contains 438 manually curated relationships between 282 biomarkers and 76 cancer subtypes of 18 tissues reported in 248 literatures. Users can access the comprehensive metabolic biomarker information about cancers, references, clinical samples and their relationships from our online database. As case studies, pathway analysis was performed on the metabolic biomarkers of breast and prostate cancers, respectively. 'Phenylalanine, tyrosine and tryptophan biosynthesis', 'phenylalanine metabolism' and 'primary bile acid biosynthesis' were identified as playing key roles in breast cancer. 'Glyoxylate and dicarboxylate metabolism', 'citrate cycle (TCA cycle)', and 'alanine, aspartate and glutamate metabolism' have important functions in prostate cancer. These findings provide us with an understanding of the metabolic pathway of cancer initiation and progression. Database URL: http://www.sysbio.org.cn/CMBD/.
© The Author(s) 2021. Published by Oxford University Press.

Entities:  

Year:  2021        PMID: 33693668      PMCID: PMC7947571          DOI: 10.1093/database/baaa094

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   3.451


  41 in total

Review 1.  Precision diagnostics: moving towards protein biomarker signatures of clinical utility in cancer.

Authors:  Carl A K Borrebaeck
Journal:  Nat Rev Cancer       Date:  2017-02-03       Impact factor: 60.716

2.  Tryptophan metabolism in breast cancers: molecular imaging and immunohistochemistry studies.

Authors:  Csaba Juhász; Zeina Nahleh; Ian Zitron; Diane C Chugani; Majid Z Janabi; Sudeshna Bandyopadhyay; Rouba Ali-Fehmi; Thomas J Mangner; Pulak K Chakraborty; Sandeep Mittal; Otto Muzik
Journal:  Nucl Med Biol       Date:  2012-03-22       Impact factor: 2.408

3.  Adrenal Hormone and Metabolic Biomarker Responses to 30 min of Intermittent Cycling Exercise in Breast Cancer Survivors.

Authors:  E S Evans; A C Hackney; M M Pebole; R G McMurray; H B Muss; A M Deal; C L Battaglini
Journal:  Int J Sports Med       Date:  2016-08-04       Impact factor: 3.118

4.  Pretransplant metabolic distress predicts relapse of acute myeloid leukemia after allogeneic stem cell transplantation.

Authors:  Sascha Dietrich; Aleksandar Radujkovic; Friedrich Stölzel; Christine S Falk; Axel Benner; Markus Schaich; Martin Bornhäuser; Gerhard Ehninger; Alwin Krämer; Ute Hegenbart; Anthony D Ho; Peter Dreger; Thomas Luft
Journal:  Transplantation       Date:  2015-05       Impact factor: 4.939

5.  Predicting long-term survival and treatment response in breast cancer patients receiving neoadjuvant chemotherapy by MR metabolic profiling.

Authors:  Maria D Cao; Beathe Sitter; Tone F Bathen; Anna Bofin; Per E Lønning; Steinar Lundgren; Ingrid S Gribbestad
Journal:  NMR Biomed       Date:  2011-08-08       Impact factor: 4.044

6.  Breast carcinomas fulfill the Warburg hypothesis and provide metabolic markers of cancer prognosis.

Authors:  Antonio Isidoro; Enrique Casado; Andrés Redondo; Paloma Acebo; Enrique Espinosa; Andrés M Alonso; Paloma Cejas; David Hardisson; Juan A Fresno Vara; Cristobal Belda-Iniesta; Manuel González-Barón; José M Cuezva
Journal:  Carcinogenesis       Date:  2005-07-20       Impact factor: 4.944

7.  Cancer as a metabolic disease.

Authors:  Thomas N Seyfried; Laura M Shelton
Journal:  Nutr Metab (Lond)       Date:  2010-01-27       Impact factor: 4.169

8.  Novel bile acid derivatives induce apoptosis via a p53-independent pathway in human breast carcinoma cells.

Authors:  E O Im; Y H Choi; K J Paik; H Suh; Y Jin; K W Kim; Y H Yoo; N D Kim
Journal:  Cancer Lett       Date:  2001-02-10       Impact factor: 8.679

9.  The metabolites citrate, myo-inositol, and spermine are potential age-independent markers of prostate cancer in human expressed prostatic secretions.

Authors:  Natalie J Serkova; Eduard J Gamito; Richard H Jones; Colin O'Donnell; Jaimi L Brown; Spencer Green; Holly Sullivan; Tammy Hedlund; E David Crawford
Journal:  Prostate       Date:  2008-05-01       Impact factor: 4.104

Review 10.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

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  2 in total

Review 1.  Metabolic Phenotyping in Prostate Cancer Using Multi-Omics Approaches.

Authors:  Nuria Gómez-Cebrián; José Luis Poveda; Antonio Pineda-Lucena; Leonor Puchades-Carrasco
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

Review 2.  Translational Informatics for Natural Products as Antidepressant Agents.

Authors:  Rajeev K Singla; Shikha Joon; Li Shen; Bairong Shen
Journal:  Front Cell Dev Biol       Date:  2022-01-20
  2 in total

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