Literature DB >> 27174013

High-grade sarcoma diagnosis and prognosis: Biomarker discovery by mass spectrometry imaging.

Sha Lou1, Benjamin Balluff1,2, Marieke A de Graaff3, Arjen H G Cleven3, Inge Briaire-de Bruijn3, Judith V M G Bovée3, Liam A McDonnell1,3,4.   

Abstract

The combination of high heterogeneity, both intratumoral and intertumoral, with their rarity has made diagnosis, prognosis of high-grade sarcomas difficult. There is an urgent need for more objective molecular biomarkers, to differentiate between the many different subtypes, and to also provide new treatment targets. Mass spectrometry imaging (MSI) has amply demonstrated its ability to identify potential new markers for patient diagnosis, survival, metastasis and response to therapy in cancer research. In this study, we investigated the ability of MALDI-MSI of proteins to distinguish between high-grade osteosarcoma (OS), leiomyosarcoma (LMS), myxofibrosarcoma (MFS) and undifferentiated pleomorphic sarcoma (UPS) (Ntotal = 53). We also investigated if there are individual proteins or protein signatures that are statistically associated with patient survival. Twenty diagnostic protein signals were found characteristic for specific tumors (p ≤ 0.05), amongst them acyl-CoA-binding protein (m/z 11 162), macrophage migration inhibitory factor (m/z 12 350), thioredoxin (m/z 11 608) and galectin-1 (m/z 14 633) were assigned. Another nine protein signals were found to be associated with overall survival (p ≤ 0.05), including proteasome activator complex subunit 1 (m/z 9753), indicative for non-OS patients with poor survival; and two histone H4 variants (m/z 11 314 and 11 355), indicative of poor survival for LMS patients.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarker discovery; Biomedicine; Intratumor heterogeneity; Mass spectrometry imaging; Soft tissue sarcoma

Mesh:

Substances:

Year:  2016        PMID: 27174013     DOI: 10.1002/pmic.201500514

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  10 in total

1.  The Importance of Clinical Tissue Imaging.

Authors:  Jeffrey M Spraggins; Kristina Schwamborn; Ron M A Heeren; Livia S Eberlin
Journal:  Clin Mass Spectrom       Date:  2019-04-19

2.  Molecular signatures of tumor progression in myxoid liposarcoma identified by N-glycan mass spectrometry imaging.

Authors:  Liam A McDonnell; Judith V M G Bovée; Bram Heijs; Stephanie Holst-Bernal; Marieke A de Graaff; Inge H Briaire-de Bruijn; Mar Rodriguez-Girondo; Michiel A J van de Sande; Manfred Wuhrer
Journal:  Lab Invest       Date:  2020-04-27       Impact factor: 5.662

3.  High nuclear expression of proteasome activator complex subunit 1 predicts poor survival in soft tissue leiomyosarcomas.

Authors:  Sha Lou; Arjen H G Cleven; Benjamin Balluff; Marieke de Graaff; Marie Kostine; Inge Briaire-de Bruijn; Liam A McDonnell; Judith V M G Bovée
Journal:  Clin Sarcoma Res       Date:  2016-10-01

4.  Deep learning and 3D-DESI imaging reveal the hidden metabolic heterogeneity of cancer.

Authors:  Paolo Inglese; James S McKenzie; Anna Mroz; James Kinross; Kirill Veselkov; Elaine Holmes; Zoltan Takats; Jeremy K Nicholson; Robert C Glen
Journal:  Chem Sci       Date:  2017-02-21       Impact factor: 9.825

5.  Prognostic Metabolite Biomarkers for Soft Tissue Sarcomas Discovered by Mass Spectrometry Imaging.

Authors:  Sha Lou; Benjamin Balluff; Arjen H G Cleven; Judith V M G Bovée; Liam A McDonnell
Journal:  J Am Soc Mass Spectrom       Date:  2016-11-21       Impact factor: 3.109

Review 6.  Proteomic research in sarcomas - current status and future opportunities.

Authors:  Jessica Burns; Christopher P Wilding; Robin L Jones; Paul H Huang
Journal:  Semin Cancer Biol       Date:  2019-11-10       Impact factor: 15.707

7.  Plasma Metabolomics Analysis of Polyvinyl Chloride Workers Identifies Altered Processes and Candidate Biomarkers for Hepatic Hemangiosarcoma and Its Development.

Authors:  John J Guardiola; Josiah E Hardesty; Juliane I Beier; Russell A Prough; Craig J McClain; Matthew C Cave
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

Review 8.  Mass spectrometry-based chemical mapping and profiling toward molecular understanding of diseases in precision medicine.

Authors:  Yechen Hu; Zhongcheng Wang; Liang Liu; Jianhua Zhu; Dongxue Zhang; Mengying Xu; Yuanyuan Zhang; Feifei Xu; Yun Chen
Journal:  Chem Sci       Date:  2021-05-25       Impact factor: 9.825

Review 9.  Metabolic landscapes in sarcomas.

Authors:  Richard Miallot; Franck Galland; Virginie Millet; Jean-Yves Blay; Philippe Naquet
Journal:  J Hematol Oncol       Date:  2021-07-22       Impact factor: 17.388

10.  Delineation of hypoxia-induced proteome shifts in osteosarcoma cells with different metastatic propensities.

Authors:  Zifeng Song; Martin C Pearce; Yuan Jiang; Liping Yang; Cheri Goodall; Cristobal L Miranda; Milan Milovancev; Shay Bracha; Siva K Kolluri; Claudia S Maier
Journal:  Sci Rep       Date:  2020-01-20       Impact factor: 4.379

  10 in total

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