Literature DB >> 23837649

High-resolution imaging mass spectrometry reveals detailed spatial distribution of phosphatidylinositols in human breast cancer.

Masahiro Kawashima1, Noriko Iwamoto, Nobuko Kawaguchi-Sakita, Masahiro Sugimoto, Takayuki Ueno, Yoshiki Mikami, Kazuya Terasawa, Taka-Aki Sato, Koichi Tanaka, Kazuharu Shimizu, Masakazu Toi.   

Abstract

High-resolution matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is an emerging application for lipid research that provides a comprehensive and detailed spatial distribution of ionized molecules. Recent lipidomic approach has identified several phospholipids and phosphatidylinositols (PIs) are accumulated in breast cancer tissues and are therefore novel biomarker candidates. Because their distribution and significance remain unclear, we investigated the precise spatial distribution of PIs in human breast cancer tissues using high-resolution MALDI IMS. We evaluated tissues from nine human breast cancers and one normal mammary gland by negative ion MALDI IMS at a resolution of 10 μm. We detected 10 PIs with different fatty acid compositions, and their proportions were remarkably variable in the malignant epithelial regions. High-resolution imaging enabled us to discriminate cancer cell clusters from the adjacent stromal tissue within epithelial regions; moreover, this technique revealed that several PIs were specifically localized to cancer cell clusters. These PIs were heterogeneously distributed within cancer cell clusters, allowing us to identify two different populations of cancer cells that predominantly expressed either PI(18:0/18:1) or PI(18:0/20:3). Tracing the expression level of PIs during cancer cell progression suggested that the latter population is associated with the invasion. Our study documents a novel model for phospholipid analysis of breast cancer tissues by using high-resolution MALDI IMS and identifies candidate PIs that can describe a specific phenotype of cancer cells.
© 2013 Japanese Cancer Association.

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Year:  2013        PMID: 23837649     DOI: 10.1111/cas.12229

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  18 in total

Review 1.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

Review 2.  Features of the Phosphatidylinositol Cycle and its Role in Signal Transduction.

Authors:  Richard M Epand
Journal:  J Membr Biol       Date:  2016-06-08       Impact factor: 1.843

Review 3.  Functional link between plasma membrane spatiotemporal dynamics, cancer biology, and dietary membrane-altering agents.

Authors:  Alfredo Erazo-Oliveras; Natividad R Fuentes; Rachel C Wright; Robert S Chapkin
Journal:  Cancer Metastasis Rev       Date:  2018-09       Impact factor: 9.264

4.  Accumulation of arachidonic acid-containing phosphatidylinositol at the outer edge of colorectal cancer.

Authors:  Takanori Hiraide; Koji Ikegami; Takanori Sakaguchi; Yoshifumi Morita; Takahiro Hayasaka; Noritaka Masaki; Michihiko Waki; Eiji Sugiyama; Satoru Shinriki; Makoto Takeda; Yasushi Shibasaki; Shinichiro Miyazaki; Hirotoshi Kikuchi; Hiroaki Okuyama; Masahiro Inoue; Mitsutoshi Setou; Hiroyuki Konno
Journal:  Sci Rep       Date:  2016-07-20       Impact factor: 4.379

Review 5.  Advances in Lipidomics for Cancer Biomarkers Discovery.

Authors:  Francesca Perrotti; Consuelo Rosa; Ilaria Cicalini; Paolo Sacchetta; Piero Del Boccio; Domenico Genovesi; Damiana Pieragostino
Journal:  Int J Mol Sci       Date:  2016-11-28       Impact factor: 5.923

6.  The Ratios of monounsaturated to saturated phosphatidylcholines in lung adenocarcinoma microenvironment analyzed by Liquid Chromatography-Mass spectrometry and imaging Mass spectrometry.

Authors:  Yusuke Muranishi; Toshihiko Sato; Shinji Ito; Junko Satoh; Akihiko Yoshizawa; Shigeyuki Tamari; Yuichiro Ueda; Yojiro Yutaka; Toshi Menju; Tatsuo Nakamura; Hiroshi Date
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

7.  Mapping and Profiling Lipid Distribution in a 3D Model of Breast Cancer Progression.

Authors:  Netta Vidavsky; Jennie A M R Kunitake; Maria Elena Diaz-Rubio; Aaron E Chiou; Hyun-Chae Loh; Sheng Zhang; Admir Masic; Claudia Fischbach; Lara A Estroff
Journal:  ACS Cent Sci       Date:  2019-04-19       Impact factor: 14.553

8.  The expression profile of phosphatidylinositol in high spatial resolution imaging mass spectrometry as a potential biomarker for prostate cancer.

Authors:  Takayuki Goto; Naoki Terada; Takahiro Inoue; Kenji Nakayama; Yoshiyuki Okada; Takeshi Yoshikawa; Yu Miyazaki; Masayuki Uegaki; Shinji Sumiyoshi; Takashi Kobayashi; Tomomi Kamba; Koji Yoshimura; Osamu Ogawa
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

9.  Increased arachidonic acid-containing phosphatidylcholine is associated with reactive microglia and astrocytes in the spinal cord after peripheral nerve injury.

Authors:  Dongmin Xu; Takao Omura; Noritaka Masaki; Hideyuki Arima; Tomohiro Banno; Ayako Okamoto; Mitsuru Hanada; Shiro Takei; Shoko Matsushita; Eiji Sugiyama; Mitsutoshi Setou; Yukihiro Matsuyama
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

Review 10.  Lipid metabolic reprogramming in cancer cells.

Authors:  S Beloribi-Djefaflia; S Vasseur; F Guillaumond
Journal:  Oncogenesis       Date:  2016-01-25       Impact factor: 7.485

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