Literature DB >> 32165453

Metabolic Profiling of Formalin-Fixed Paraffin-Embedded Tissues Discriminates Normal Colon from Colorectal Cancer.

Kota Arima1,2,3, Mai Chan Lau1, Melissa Zhao1, Koichiro Haruki1, Jonathan A Nowak1, Marios Giannakis4,5,6, Charles S Fuchs7,8,9, Shuji Ogino10,2,11,6,12, Keisuke Kosumi2,3, Kosuke Mima3,4, Mancang Gu4, Juha P Väyrynen1,4,13, Tyler S Twombly1, Yoshifumi Baba1,3, Kenji Fujiyoshi1, Junko Kishikawa1, Chunguang Guo2, Hideo Baba3, William G Richards14, Andrew T Chan15,16,5,17,18, Reiko Nishihara1,11,19,20, Jeffrey A Meyerhardt4.   

Abstract

Accumulating evidence suggests that metabolic reprogramming has a critical role in carcinogenesis and tumor progression. The usefulness of formalin-fixed paraffin-embedded (FFPE) tissue material for metabolomics analysis as compared with fresh frozen tissue material remains unclear. LC/MS-MS-based metabolomics analysis was performed on 11 pairs of matched tumor and normal tissues in both FFPE and fresh frozen tissue materials from patients with colorectal carcinoma. Permutation t test was applied to identify metabolites with differential abundance between tumor and normal tissues. A total of 200 metabolites were detected in the FFPE samples and 536 in the fresh frozen samples. The preservation of metabolites in FFPE samples was diverse according to classes and chemical characteristics, ranging from 78% (energy) to 0% (peptides). Compared with the normal tissues, 34 (17%) and 174 (32%) metabolites were either accumulated or depleted in the tumor tissues derived from FFPE and fresh frozen samples, respectively. Among them, 15 metabolites were common in both FFPE and fresh frozen samples. Notably, branched chain amino acids were highly accumulated in tumor tissues. Using KEGG pathway analyses, glyoxylate and dicarboxylate metabolism, arginine and proline, glycerophospholipid, and glycine, serine, and threonine metabolism pathways distinguishing tumor from normal tissues were found in both FFPE and fresh frozen samples. This study demonstrates that informative data of metabolic profiles can be retrieved from FFPE tissue materials. IMPLICATIONS: Our findings suggest potential value of metabolic profiling using FFPE tumor tissues and may help to shape future translational studies through developing treatment strategies targeting metabolites. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32165453      PMCID: PMC7272267          DOI: 10.1158/1541-7786.MCR-19-1091

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  39 in total

1.  On respiratory impairment in cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-08-10       Impact factor: 47.728

2.  Lipid Desaturation Is a Metabolic Marker and Therapeutic Target of Ovarian Cancer Stem Cells.

Authors:  Junjie Li; Salvatore Condello; Jessica Thomes-Pepin; Xiaoxiao Ma; Yu Xia; Thomas D Hurley; Daniela Matei; Ji-Xin Cheng
Journal:  Cell Stem Cell       Date:  2016-12-29       Impact factor: 24.633

3.  Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems.

Authors:  Anne M Evans; Corey D DeHaven; Tom Barrett; Matt Mitchell; Eric Milgram
Journal:  Anal Chem       Date:  2009-08-15       Impact factor: 6.986

4.  Human metabolic individuality in biomedical and pharmaceutical research.

Authors:  So-Youn Shin; Ann-Kristin Petersen; Nicole Soranzo; Christian Gieger; Karsten Suhre; Robert P Mohney; David Meredith; Brigitte Wägele; Elisabeth Altmaier; Panos Deloukas; Jeanette Erdmann; Elin Grundberg; Christopher J Hammond; Martin Hrabé de Angelis; Gabi Kastenmüller; Anna Köttgen; Florian Kronenberg; Massimo Mangino; Christa Meisinger; Thomas Meitinger; Hans-Werner Mewes; Michael V Milburn; Cornelia Prehn; Johannes Raffler; Janina S Ried; Werner Römisch-Margl; Nilesh J Samani; Kerrin S Small; H-Erich Wichmann; Guangju Zhai; Thomas Illig; Tim D Spector; Jerzy Adamski
Journal:  Nature       Date:  2011-08-31       Impact factor: 49.962

Review 5.  Metabolomics and Metabolic Diseases: Where Do We Stand?

Authors:  Christopher B Newgard
Journal:  Cell Metab       Date:  2016-10-27       Impact factor: 27.287

Review 6.  The Effects of Cholesterol-Derived Oncometabolites on Nuclear Receptor Function in Cancer.

Authors:  Sandrine Silvente-Poirot; Florence Dalenc; Marc Poirot
Journal:  Cancer Res       Date:  2018-08-17       Impact factor: 12.701

7.  Cell competition with normal epithelial cells promotes apical extrusion of transformed cells through metabolic changes.

Authors:  Shunsuke Kon; Kojiro Ishibashi; Hiroto Katoh; Sho Kitamoto; Takanobu Shirai; Shinya Tanaka; Mihoko Kajita; Susumu Ishikawa; Hajime Yamauchi; Yuta Yako; Tomoko Kamasaki; Tomohiro Matsumoto; Hirotaka Watanabe; Riku Egami; Ayana Sasaki; Atsuko Nishikawa; Ikumi Kameda; Takeshi Maruyama; Rika Narumi; Tomoko Morita; Yoshiteru Sasaki; Ryosuke Enoki; Sato Honma; Hiromi Imamura; Masanobu Oshima; Tomoyoshi Soga; Jun-Ichi Miyazaki; Michael R Duchen; Jin-Min Nam; Yasuhito Onodera; Shingo Yoshioka; Junichi Kikuta; Masaru Ishii; Masamichi Imajo; Eisuke Nishida; Yoichiro Fujioka; Yusuke Ohba; Toshiro Sato; Yasuyuki Fujita
Journal:  Nat Cell Biol       Date:  2017-04-17       Impact factor: 28.824

8.  Reduced methylation of PFKFB3 in cancer cells shunts glucose towards the pentose phosphate pathway.

Authors:  Takehiro Yamamoto; Naoharu Takano; Kyoko Ishiwata; Mitsuyo Ohmura; Yoshiko Nagahata; Tomomi Matsuura; Aki Kamata; Kyoko Sakamoto; Tsuyoshi Nakanishi; Akiko Kubo; Takako Hishiki; Makoto Suematsu
Journal:  Nat Commun       Date:  2014-03-17       Impact factor: 14.919

9.  Personalized Treatment Response Assessment for Rare Childhood Tumors Using Microcalorimetry-Exemplified by Use of Carbonic Anhydrase IX and Aquaporin 1 Inhibitors.

Authors:  Stephanie J Gros; Stefan G Holland-Cunz; Claudiu T Supuran; Olivier Braissant
Journal:  Int J Mol Sci       Date:  2019-10-09       Impact factor: 5.923

10.  Mutant Kras copy number defines metabolic reprogramming and therapeutic susceptibilities.

Authors:  Emma M Kerr; Edoardo Gaude; Frances K Turrell; Christian Frezza; Carla P Martins
Journal:  Nature       Date:  2016-02-24       Impact factor: 49.962

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  10 in total

1.  The effect of sample age on the metabolic information extracted from formalin-fixed and paraffin embedded tissue samples using desorption electrospray ionization mass spectrometry imaging.

Authors:  Olof Gerdur Isberg; Yuchen Xiang; Sigridur Klara Bodvarsdottir; Jon Gunnlaugur Jonasson; Margret Thorsteinsdottir; Zoltan Takats
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2021-10-28

2.  COL11A1 is Downregulated by miR-339-5p and Promotes Colon Carcinoma Progression.

Authors:  Weizhi Liu; Ke Meng
Journal:  Can J Gastroenterol Hepatol       Date:  2022-05-28

3.  Spatially Resolved Neuropeptide Characterization from Neuropathological Formalin-Fixed, Paraffin-Embedded Tissue Sections by a Combination of Imaging MALDI FT-ICR Mass Spectrometry Histochemistry and Liquid Extraction Surface Analysis-Trapped Ion Mobility Spectrometry-Tandem Mass Spectrometry.

Authors:  Yarixa L Cintron-Diaz; Mario E Gomez-Hernandez; Marthe M H A Verhaert; Peter D E M Verhaert; Francisco Fernandez-Lima
Journal:  J Am Soc Mass Spectrom       Date:  2022-03-08       Impact factor: 3.262

4.  Tissue fixation effects on human retinal lipid analysis by MALDI imaging and LC-MS/MS technologies.

Authors:  Ankita Kotnala; David M G Anderson; Nathan Heath Patterson; Lee S Cantrell; Jeffrey D Messinger; Christine A Curcio; Kevin L Schey
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5.  Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning.

Authors:  Olof Gerdur Isberg; Valentina Giunchiglia; James S McKenzie; Zoltan Takats; Jon Gunnlaugur Jonasson; Sigridur Klara Bodvarsdottir; Margret Thorsteinsdottir; Yuchen Xiang
Journal:  Metabolites       Date:  2022-05-18

6.  Deuterium Depletion Inhibits Cell Proliferation, RNA and Nuclear Membrane Turnover to Enhance Survival in Pancreatic Cancer.

Authors:  László G Boros; Ildikó Somlyai; Beáta Zs Kovács; László G Puskás; Lajos I Nagy; László Dux; Gyula Farkas; Gábor Somlyai
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

7.  Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues.

Authors:  Siti Norbaini Sabtu; S F Abdul Sani; L M Looi; S F Chiew; Dharini Pathmanathan; D A Bradley; Z Osman
Journal:  Sci Rep       Date:  2021-02-05       Impact factor: 4.379

8.  A Serum Metabolomic Study Reveals Changes in Metabolites During the Treatment of Lung Cancer-Bearing Mice with Anlotinib.

Authors:  Xiaoting Pan; Wenhao Chen; Mengjun Nie; Yuanjie Liu; Zuopeng Xiao; Ying Zhang; Wei Zhang; Xi Zou
Journal:  Cancer Manag Res       Date:  2021-08-04       Impact factor: 3.989

9.  Alteration of plasma metabolites associated with chemoradiosensitivity in esophageal squamous cell carcinoma via untargeted metabolomics approach.

Authors:  Yaowen Zhang; Jianpo Wang; Ningtao Dai; Peng Han; Jian Li; Jiangman Zhao; Weilan Yuan; Jiahuan Zhou; Fuyou Zhou
Journal:  BMC Cancer       Date:  2020-09-02       Impact factor: 4.430

10.  Integrative analysis reveals the prognostic value and functions of splicing factors implicated in hepatocellular carcinoma.

Authors:  Yue Wang; Fan Yang; Jiaqi Shang; Haitao He; Qing Yang
Journal:  Sci Rep       Date:  2021-07-26       Impact factor: 4.379

  10 in total

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