Literature DB >> 31911556

In Situ DESI-MSI Lipidomic Profiles of Breast Cancer Molecular Subtypes and Precursor Lesions.

Adriana Leandra Santoro1, Rodrigo D Drummond2, Israel Tojal Silva2, Severino S Ferreira1, Luiz Juliano1, Pedro H Vendramini3, Monique Batista da Costa Lemos1, Marcos N Eberlin3,4, Victor Piana Andrade5.   

Abstract

Clinically meaningful molecular subtypes for classification of breast cancers have been established, however, initiation and progression of these subtypes remain poorly understood. The recent development of desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) facilitates the convergence of analytical chemistry and traditional pathology, allowing chemical profiling with minimal tissue pretreatment in frozen samples. Here, we characterized the chemical composition of molecular subtypes of breast cancer with DESI-MSI. Regions of interest were identified, including invasive breast cancer (IBC), ductal carcinoma in situ (DCIS), and adjacent benign tissue (ABT), and metabolomic profiles at 200 μm elaborated using Biomap software and the Lasso method. Top ions identified in IBC regions included polyunsaturated fatty acids, deprotonated glycerophospholipids, and sphingolipids. Highly saturated lipids, as well as antioxidant molecules [taurine (m/z 124.0068), uric acid (m/z 167.0210), ascorbic acid (m/z 175.0241), and glutathione (m/z 306.0765)], were able to distinguish IBC from ABT. Moreover, luminal B and triple-negative subtypes showed more complex lipid profiles compared with luminal A and HER2 subtypes. DCIS and IBC were distinguished on the basis of cell signaling and apoptosis-related ions [fatty acids (341.2100 and 382.3736 m/z) and glycerophospholipids (PE (P-16:0/22:6, m/z 746.5099, and PS (38:3), m/z 812.5440)]. In summary, DESI-MSI identified distinct lipid composition between DCIS and IBC and across molecular subtypes of breast cancer, with potential implications for breast cancer pathogenesis. SIGNIFICANCE: These findings present the first in situ metabolomic findings of the four molecular subtypes of breast cancer, DCIS, and normal tissue, and add to the understanding of their pathogenesis. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 31911556     DOI: 10.1158/0008-5472.CAN-18-3574

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

Review 1.  Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention.

Authors:  Lisa M Butler; Ylenia Perone; Jonas Dehairs; Leslie E Lupien; Vincent de Laat; Ali Talebi; Massimo Loda; William B Kinlaw; Johannes V Swinnen
Journal:  Adv Drug Deliv Rev       Date:  2020-07-23       Impact factor: 15.470

2.  Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial.

Authors:  Cameron J Shedlock; Katherine A Stumpo
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2021-12-20

3.  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

4.  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

5.  Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools.

Authors:  Alex Ap Rosini Silva; Marcella R Cardoso; Luciana Montes Rezende; John Q Lin; Fernando Guimaraes; Geisilene R Paiva Silva; Michael Murgu; Denise Gonçalves Priolli; Marcos N Eberlin; Alessandra Tata; Livia S Eberlin; Sophie F M Derchain; Andreia M Porcari
Journal:  Int J Mol Sci       Date:  2020-05-20       Impact factor: 5.923

6.  Determination of Brain Tissue Samples Storage Conditions for Reproducible Intraoperative Lipid Profiling.

Authors:  Stanislav I Pekov; Evgeny S Zhvansky; Vasily A Eliferov; Anatoly A Sorokin; Daniil G Ivanov; Eugene N Nikolaev; Igor A Popov
Journal:  Molecules       Date:  2022-04-18       Impact factor: 4.927

7.  Characterization of the Metabolome of Breast Tissues from Non-Hispanic Black and Non-Hispanic White Women Reveals Correlations between Microbial Dysbiosis and Enhanced Lipid Metabolism Pathways in Triple-Negative Breast Tumors.

Authors:  Alana Smith; Xueyuan Cao; Qingqing Gu; Ernestine Kubi Amos-Abanyie; Elizabeth A Tolley; Gregory Vidal; Beverly Lyn-Cook; Athena Starlard-Davenport
Journal:  Cancers (Basel)       Date:  2022-08-23       Impact factor: 6.575

8.  Metabolic profiles of human brain parenchyma and glioma for rapid tissue diagnosis by targeted desorption electrospray ionization mass spectrometry.

Authors:  Rong Chen; Hannah Marie Brown; R Graham Cooks
Journal:  Anal Bioanal Chem       Date:  2021-08-09       Impact factor: 4.478

9.  Lipidomic study of cell lines reveals differences between breast cancer subtypes.

Authors:  Finnur Freyr Eiriksson; Martha Kampp Nøhr; Margarida Costa; Sigridur Klara Bödvarsdottir; Helga Margret Ögmundsdottir; Margret Thorsteinsdottir
Journal:  PLoS One       Date:  2020-04-14       Impact factor: 3.240

Review 10.  [Mass spectrometry imaging technology and its application in breast cancer research].

Authors:  Mengting Zhang; Yulu Zhang; Haojiang Wang; Ning Li; Bo Li; Hong Xiao; Wei Bian; Zongwei Cai
Journal:  Se Pu       Date:  2021-06
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.