Literature DB >> 23480610

Imaging mass spectrometry-based molecular histology differentiates microscopically identical and heterogeneous tumors.

Emrys A Jones1, Nicole Schmitz, Cathelijn J F Waaijer, Christian K Frese, Alexandra van Remoortere, René J M van Zeijl, Albert J R Heck, Pancras C W Hogendoorn, André M Deelder, A F Maarten Altelaar, Judith V M G Bovée, Liam A McDonnell.   

Abstract

Many tumors display significant cellular heterogeneity as well as molecular heterogeneity. Sensitive biomarkers that differentiate between diagnostically challenging tumors must contend with this heterogeneity. Mass spectrometry-based molecular histology of a patient series of heterogeneous, microscopically identical bone tumors highlighted the tumor cell types that could be characterized by a single profile and led to the identification of specific peptides that differentiate between the tumors.

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Year:  2013        PMID: 23480610     DOI: 10.1021/pr301190g

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  3 in total

Review 1.  Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry.

Authors:  Nico Verbeeck; Richard M Caprioli; Raf Van de Plas
Journal:  Mass Spectrom Rev       Date:  2019-10-11       Impact factor: 10.946

2.  Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium - application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data.

Authors:  Piotr Widlak; Grzegorz Mrukwa; Magdalena Kalinowska; Monika Pietrowska; Mykola Chekan; Janusz Wierzgon; Marta Gawin; Grzegorz Drazek; Joanna Polanska
Journal:  Proteomics       Date:  2016-04-13       Impact factor: 3.984

3.  Prognostic Value of Molecular Intratumor Heterogeneity in Primary Oral Cancer and Its Lymph Node Metastases Assessed by Mass Spectrometry Imaging.

Authors:  Agata Kurczyk; Marta Gawin; Piotr Paul; Ewa Chmielik; Tomasz Rutkowski; Monika Pietrowska; Piotr Widłak
Journal:  Molecules       Date:  2022-08-25       Impact factor: 4.927

  3 in total

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