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Identification of Novel Diagnostic Markers for Malignant Pleural Mesothelioma Using a Reverse Translational Approach Based on a Rare Synchronous Tumor

Authors :
Tomoaki Naka
Yutaka Hatanaka
Yukiko Tabata
Akira Takasawa
Hideo Akiyama
Yasuhiro Hida
Hiromi Okada
Kanako C. Hatanaka
Tomoko Mitsuhashi
Kei Kushitani
Vishwa Jeet Amatya
Yukio Takeshima
Kouki Inai
Kichizo Kaga
Yoshihiro Matsuno
Source :
Diagnostics, Vol 12, Iss 2, p 316 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Although the routine use of immunohistochemistry has improved the accuracy of histopathologic diagnosis in clinical practice, new methods for discovering novel diagnostic markers are still needed. We sought new diagnostic markers for malignant pleural mesothelioma (MPM) using a reverse translational approach with limited archival tissues from a very rare case. Total RNA extracted from formalin-fixed paraffin-embedded (FFPE) tissues of a synchronous collision tumor consisting of MPM and pulmonary adenocarcinoma (PAC) was employed for gene expression profiling (GEP) analysis. Among the 54 genes selected by GEP analysis, we finally identified the following two candidate MPM marker genes: PHGDH and TRIM29. Immunohistochemical analysis of 48 MM and 20 PAC cases showed that both PHGDH and TRIM29 had sensitivity and specificity almost equivalent to those of calretinin (sensitivity 50% and 46% vs. 63%, and specificity 95% and 100% vs. 100%, respectively). Importantly, of the 23 epithelioid MMs, all 3 calretinin-negative cases were positive for TRIM29. These two markers may be diagnostically useful for immunohistochemical distinction between MPMs and PACs. This successful reverse translational approach based on FFPE samples from one very rare case encourages the further use of such samples for the development of novel diagnostic markers.

Details

Language :
English
ISSN :
20754418
Volume :
12
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.3320f9c47ffa4aa19288f39257050aa8
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics12020316