Literature DB >> 23832580

Organized proteomic heterogeneity in colorectal cancer liver metastases and implications for therapies.

Andrei Turtoi1, Arnaud Blomme, Delphine Debois, Joan Somja, David Delvaux, Georgios Patsos, Emmanuel Di Valentin, Olivier Peulen, Eugène Nzaramba Mutijima, Edwin De Pauw, Philippe Delvenne, Olivier Detry, Vincent Castronovo.   

Abstract

UNLABELLED: Tumor heterogeneity is a major obstacle for developing effective anticancer treatments. Recent studies have pointed to large stochastic genetic heterogeneity within cancer lesions, where no pattern seems to exist that would enable a more structured targeted therapy approach. Because to date no similar information is available at the protein (phenotype) level, we employed matrix assisted laser desorption ionization (MALDI) image-guided proteomics and explored the heterogeneity of extracellular and membrane subproteome in a unique collection of eight fresh human colorectal carcinoma (CRC) liver metastases. Monitoring the spatial distribution of over 1,000 proteins, we found unexpectedly that all liver metastasis lesions displayed a reproducible, zonally delineated pattern of functional and therapeutic biomarker heterogeneity. The peritumoral region featured elevated lipid metabolism and protein synthesis, the rim of the metastasis displayed increased cellular growth, movement, and drug metabolism, whereas the center of the lesion was characterized by elevated carbohydrate metabolism and DNA-repair activity. From the aspect of therapeutic targeting, zonal expression of known and novel biomarkers was evident, reinforcing the need to select several targets in order to achieve optimal coverage of the lesion. Finally, we highlight two novel antigens, LTBP2 and TGFBI, whose expression is a consistent feature of CRC liver metastasis. We demonstrate their in vivo antibody-based targeting and highlight their potential usefulness for clinical applications.
CONCLUSION: The proteome heterogeneity of human CRC liver metastases has a distinct, organized pattern. This particular hallmark can now be used as part of the strategy for developing rational therapies based on multiple sets of targetable antigens.
© 2014 by the American Association for the Study of Liver Diseases.

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Year:  2013        PMID: 23832580     DOI: 10.1002/hep.26608

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.425


  15 in total

Review 1.  Mechanisms and clinical implications of tumor heterogeneity and convergence on recurrent phenotypes.

Authors:  Jasmine A McQuerry; Jeffrey T Chang; David D L Bowtell; Adam Cohen; Andrea H Bild
Journal:  J Mol Med (Berl)       Date:  2017-09-04       Impact factor: 4.599

2.  Characterization of Genomic Alterations in Colorectal Liver Metastasis and Their Prognostic Value.

Authors:  Xuanwen Bao; Kun Wang; Ming Liu; Bin Li; Hongwei Wang; Kemin Jin; Xiaoluan Yan; Hangyu Zhang; Quan Bao; Da Xu; Lijun Wang; Wei Liu; Yanyan Wang; Juan Li; Lijuan Liu; Weijia Fang; Baocai Xing
Journal:  Front Cell Dev Biol       Date:  2022-07-04

3.  TGFBI protein high expression predicts poor prognosis in colorectal cancer patients.

Authors:  Jing Zhu; Xijun Chen; Zhongcai Liao; Chao He; Xiaotong Hu
Journal:  Int J Clin Exp Pathol       Date:  2015-01-01

Review 4.  Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach.

Authors:  Moisés Blanco-Calvo; Ángel Concha; Angélica Figueroa; Federico Garrido; Manuel Valladares-Ayerbes
Journal:  Int J Mol Sci       Date:  2015-06-15       Impact factor: 5.923

5.  Positive regulatory effects of perioperative probiotic treatment on postoperative liver complications after colorectal liver metastases surgery: a double-center and double-blind randomized clinical trial.

Authors:  Zhihua Liu; Chao Li; Meijin Huang; Chao Tong; Xingwei Zhang; Lei Wang; Hui Peng; Ping Lan; Peng Zhang; Nanqi Huang; Junsheng Peng; Xiaojian Wu; Yanxing Luo; Huanlong Qin; Liang Kang; Jianping Wang
Journal:  BMC Gastroenterol       Date:  2015-03-20       Impact factor: 3.067

6.  Rearrangement of mitochondrial pyruvate dehydrogenase subunit dihydrolipoamide dehydrogenase protein-protein interactions by the MDM2 ligand nutlin-3.

Authors:  Luke Way; Jakub Faktor; Petra Dvorakova; Judith Nicholson; Borek Vojtesek; Duncan Graham; Kathryn L Ball; Ted Hupp
Journal:  Proteomics       Date:  2016-09       Impact factor: 3.984

Review 7.  TGF-β Signaling in Gastrointestinal Cancers: Progress in Basic and Clinical Research.

Authors:  Takehiko Yokobori; Masahiko Nishiyama
Journal:  J Clin Med       Date:  2017-01-18       Impact factor: 4.241

Review 8.  Cancer heterogeneity is not compatible with one unique cancer cell metabolic map.

Authors:  A Strickaert; M Saiselet; G Dom; X De Deken; J E Dumont; O Feron; P Sonveaux; C Maenhaut
Journal:  Oncogene       Date:  2016-10-31       Impact factor: 9.867

9.  Risk analysis of colorectal cancer incidence by gene expression analysis.

Authors:  Wei-Chuan Shangkuan; Hung-Che Lin; Yu-Tien Chang; Chen-En Jian; Hueng-Chuen Fan; Kang-Hua Chen; Ya-Fang Liu; Huan-Ming Hsu; Hsiu-Ling Chou; Chung-Tay Yao; Chi-Ming Chu; Sui-Lung Su; Chi-Wen Chang
Journal:  PeerJ       Date:  2017-02-15       Impact factor: 2.984

10.  Metabolic Reprogramming and the Recovery of Physiological Functionality in 3D Cultures in Micro-Bioreactors.

Authors:  Krzysztof Wrzesinski; Stephen J Fey
Journal:  Bioengineering (Basel)       Date:  2018-03-07
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