Literature DB >> 27939606

Typing of colon and lung adenocarcinoma by high throughput imaging mass spectrometry.

Mark Kriegsmann1, Rémi Longuespée2, Petra Wandernoth3, Cristina Mohanu4, Katharina Lisenko5, Wilko Weichert6, Arne Warth7, Hendrik Dienemann8, Edwin De Pauw9, Tiemo Katzenberger10, Daniela Aust11, Gustavo Baretton12, Joerg Kriegsmann13, Rita Casadonte14.   

Abstract

In advanced tumor stages, diagnosis is frequently made from metastatic tumor tissue. In some cases, the identification of the tumor of origin may be difficult by histology alone. In this setting, immunohistochemical and molecular biological methods are often required. In a subset of tumors definite diagnosis cannot be achieved. Thus, additional new diagnostic methods are required for precise tumor subtyping. Mass spectrometric methods are of special interest for the discrimination of different tumor types. We investigated whether it is possible to discern adenocarcinomas of colon and lung using high-throughput imaging mass spectrometry on formalin-fixed paraffin-embedded tissue microarrays. 101 primary adenocarcinoma of the colon and 91 primary adenocarcinoma of the lung were used to train a Linear Discriminant Analysis model. Results were validated on an independent set of 116 colonic and 75 lung adenocarcinomas. In the validation cohort 109 of 116 patients with colonic and 67 of 75 patients with lung adenocarcinomas were correctly classified. The ability to define proteomic profiles capable to discern different tumor types promises a valuable tool in cancer diagnostics and might complement current approaches. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; Colon; Imaging mass spectrometry; Lung; MALDI; Tumor-typing

Mesh:

Year:  2016        PMID: 27939606     DOI: 10.1016/j.bbapap.2016.11.018

Source DB:  PubMed          Journal:  Biochim Biophys Acta Proteins Proteom        ISSN: 1570-9639            Impact factor:   3.036


  4 in total

Review 1.  Co-culturing multicellular tumor models: Modeling the tumor microenvironment and analysis techniques.

Authors:  Ariana E Shannon; Claire E Boos; Amanda B Hummon
Journal:  Proteomics       Date:  2021-02-26       Impact factor: 3.984

2.  Autophagy-related genes contribute to malignant progression and have a clinical prognostic impact in colon adenocarcinoma.

Authors:  Xianyi Zhang; Runtao Xu; Wenjing Feng; Jiapeng Xu; Yulong Liang; Jinghui Mu
Journal:  Exp Ther Med       Date:  2021-07-01       Impact factor: 2.447

3.  MALDI-IMS combined with shotgun proteomics identify and localize new factors in male infertility.

Authors:  Shibojyoti Lahiri; Wasim Aftab; Lena Walenta; Leena Strauss; Matti Poutanen; Artur Mayerhofer; Axel Imhof
Journal:  Life Sci Alliance       Date:  2021-01-06

4.  Prognosis prediction model based on competing endogenous RNAs for recurrence of colon adenocarcinoma.

Authors:  Li Peng Jin; Tao Liu; Fan Qi Meng; Jian Dong Tai
Journal:  BMC Cancer       Date:  2020-10-07       Impact factor: 4.430

  4 in total

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