Literature DB >> 23162076

Cancer metabolism: what we can learn from proteomic analysis by mass spectrometry.

Weidong Zhou1, Lance A Liotta, Emanuel F Petricoin.   

Abstract

A variety of genomic and proteomic tools have been used to study cancer metabolism and metabolomics in order to understand how cancer cells survive in their environment. Throughout the past decade, mass spectrometry has been routinely used for large-scale protein identification of complex biological mixtures. In this review, we discuss some recent developments in cancer metabolism by proteomic analysis using mass spectrometric techniques, focusing on pyruvate kinase, L-lactate dehydrogenase, Warburg effect, glutamine metabolism and oxidative stress.

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Year:  2012        PMID: 23162076      PMCID: PMC5547437     

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  106 in total

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Journal:  Science       Date:  1956-08-10       Impact factor: 47.728

2.  Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.

Authors:  John Rush; Albrecht Moritz; Kimberly A Lee; Ailan Guo; Valerie L Goss; Erik J Spek; Hui Zhang; Xiang-Ming Zha; Roberto D Polakiewicz; Michael J Comb
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4.  Tyrosine phosphorylation of lactate dehydrogenase A is important for NADH/NAD(+) redox homeostasis in cancer cells.

Authors:  Jun Fan; Taro Hitosugi; Tae-Wook Chung; Jianxin Xie; Qingyuan Ge; Ting-Lei Gu; Roberto D Polakiewicz; Georgia Z Chen; Titus J Boggon; Sagar Lonial; Fadlo R Khuri; Sumin Kang; Jing Chen
Journal:  Mol Cell Biol       Date:  2011-10-03       Impact factor: 4.272

Review 5.  Antioxidant enzyme levels in cancer.

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Journal:  Histol Histopathol       Date:  1997-04       Impact factor: 2.303

Review 6.  Mitochondrial free radical generation, oxidative stress, and aging.

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Journal:  Free Radic Biol Med       Date:  2000-08       Impact factor: 7.376

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Journal:  Cancer Res       Date:  1991-02-01       Impact factor: 12.701

8.  Global survey of phosphotyrosine signaling identifies oncogenic kinases in lung cancer.

Authors:  Klarisa Rikova; Ailan Guo; Qingfu Zeng; Anthony Possemato; Jian Yu; Herbert Haack; Julie Nardone; Kimberly Lee; Cynthia Reeves; Yu Li; Yerong Hu; Zhiping Tan; Matthew Stokes; Laura Sullivan; Jeffrey Mitchell; Randy Wetzel; Joan Macneill; Jian Min Ren; Jin Yuan; Corey E Bakalarski; Judit Villen; Jon M Kornhauser; Bradley Smith; Daiqiang Li; Xinmin Zhou; Steven P Gygi; Ting-Lei Gu; Roberto D Polakiewicz; John Rush; Michael J Comb
Journal:  Cell       Date:  2007-12-14       Impact factor: 41.582

Review 9.  Cancer metabolism: current perspectives and future directions.

Authors:  C Muñoz-Pinedo; N El Mjiyad; J-E Ricci
Journal:  Cell Death Dis       Date:  2012-01-12       Impact factor: 8.469

10.  Lactate dehydrogenase-5 (LDH-5) overexpression in non-small-cell lung cancer tissues is linked to tumour hypoxia, angiogenic factor production and poor prognosis.

Authors:  M I Koukourakis; A Giatromanolaki; E Sivridis; G Bougioukas; V Didilis; K C Gatter; A L Harris
Journal:  Br J Cancer       Date:  2003-09-01       Impact factor: 7.640

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  9 in total

Review 1.  The Warburg Effect and Mass Spectrometry-based Proteomic Analysis.

Authors:  Weidong Zhou; Lance A Liotta; Emanuel F Petricoin
Journal:  Cancer Genomics Proteomics       Date:  2017 Jul-Aug       Impact factor: 4.069

2.  Comparative Proteome Analysis of Breast Cancer Tissues Highlights the Importance of Glycerol-3-phosphate Dehydrogenase 1 and Monoacylglycerol Lipase in Breast Cancer Metabolism.

Authors:  Kubra Karaosmanoglu Yoneten; Murat Kasap; Gurler Akpinar; Abdullah Gunes; Bora Gurel; Nihat Zafer Utkan
Journal:  Cancer Genomics Proteomics       Date:  2019 Sep-Oct       Impact factor: 4.069

Review 3.  Heterogeneity of glycolysis in cancers and therapeutic opportunities.

Authors:  Marc O Warmoes; Jason W Locasale
Journal:  Biochem Pharmacol       Date:  2014-08-02       Impact factor: 5.858

4.  Dissecting characteristics and dynamics of differentially expressed proteins during multistage carcinogenesis of human colorectal cancer.

Authors:  Fang Peng; Ying Huang; Mao-Yu Li; Guo-Qing Li; Hui-Chao Huang; Rui Guan; Zhu-Chu Chen; Song-Ping Liang; Yong-Heng Chen
Journal:  World J Gastroenterol       Date:  2016-05-14       Impact factor: 5.742

Review 5.  2-Methoxyestradiol Reverses the Pro-Carcinogenic Effect of L-Lactate in Osteosarcoma 143B Cells.

Authors:  Magdalena Gorska-Ponikowska; Alicja Kuban-Jankowska; Agnieszka Daca; Stephan Nussberger
Journal:  Cancer Genomics Proteomics       Date:  2017 Nov-Dec       Impact factor: 4.069

Review 6.  Challenges in the Isolation and Proteomic Analysis of Cancer Exosomes-Implications for Translational Research.

Authors:  Jadwiga Jablonska; Monika Pietrowska; Sonja Ludwig; Stephan Lang; Basant Kumar Thakur
Journal:  Proteomes       Date:  2019-05-15

7.  The Cytotoxic Effect of Copper (II) Complexes with Halogenated 1,3-Disubstituted Arylthioureas on Cancer and Bacterial Cells.

Authors:  Alicja Chrzanowska; Aleksandra Drzewiecka-Antonik; Katarzyna Dobrzyńska; Joanna Stefańska; Piotr Pietrzyk; Marta Struga; Anna Bielenica
Journal:  Int J Mol Sci       Date:  2021-10-22       Impact factor: 5.923

8.  In situ biomarker discovery and label-free molecular histopathological diagnosis of lung cancer by ambient mass spectrometry imaging.

Authors:  Tiegang Li; Jiuming He; Xinxin Mao; Ying Bi; Zhigang Luo; Chengan Guo; Fei Tang; Xin Xu; Xiaohao Wang; Mingrong Wang; Jie Chen; Zeper Abliz
Journal:  Sci Rep       Date:  2015-09-25       Impact factor: 4.379

9.  Imagine a world without cancer.

Authors:  Björn L D M Brücher; Gary Lyman; Richard van Hillegersberg; Raphael E Pollock; Florian Lordick; Han-Kwang Yang; Toshikazu Ushijima; Khay-Guan Yeoh; Tomas Skricka; Wojciech Polkowski; Grzegorz Wallner; Vic Verwaal; Alfredo Garofalo; Domenico D'Ugo; Franco Roviello; Hans-Ulrich Steinau; Timothy J Wallace; Martin Daumer; Nitah Maihle; Thomas J Reid; Michel Ducreux; Yuko Kitagawa; Alexander Knuth; Bruno Zilberstein; Scott R Steele; Ijaz S Jamall
Journal:  BMC Cancer       Date:  2014-03-14       Impact factor: 4.430

  9 in total

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