Literature DB >> 30527196

Subclonal evolution of pulmonary adenocarcinomas delineated by spatially distributed somatic mitochondrial mutations.

Daniel Kazdal1, Alexander Harms2, Volker Endris3, Roland Penzel3, Cristiano Oliveira3, Mark Kriegsmann3, Rémi Longuespée3, Hauke Winter4, Marc A Schneider5, Thomas Muley5, Nicole Pfarr6, Wilko Weichert7, Albrecht Stenzinger8, Arne Warth3.   

Abstract

OBJECTIVES: The potential role of cancer associated somatic mutations of the mitochondrial genome (mtDNA) is controversial and still poorly understood. Our group and others recently challenged a direct tumorigenic impact and suggested a passenger-like character. In combination with the known increased mutation rate, somatic mtDNA mutations account for an interesting tool to delineate tumor evolution. Here, we comprehensively analyzed the spatial distribution of somatic mtDNA mutations throughout whole tumor sections of pulmonary adenocarcinoma (ADC).
MATERIALS AND METHODS: Central sections of 19 ADC were analyzed in a segmented manner (11-34 segments/tumor) together with non-neoplastic tissue samples and lymph node metastasis, if present. We performed whole mtDNA sequencing and real-time PCR based quantification of mtDNA copy numbers for all samples. Further, histological growth patterns were determined on H&E sections and the tumor cell content was quantified by digital pathology analyses.
RESULTS: Somatic mtDNA mutations were present in 96% (18/19) of the analyzed tumors, either ubiquitously or restricted to specific tumor regions. Spatial and histological mapping of the mutations enabled the identification of subclonal structures and phylogenetic relations within a tumor section indicating different progression levels. In this regard, lymph node metastases seem to be related to early events in ADC development. There was no concurrence between histological and mtDNA mutation based clusters. However, micropapillary patterns occurred only in tumors with ubiquitous mutations. ADC with more than two ubiquitous mutations were associated with shorter disease-free survival (p < 0.01).
CONCLUSION: Cancer related mtDNA mutations are interesting candidates for the understanding of subclonal ADC evolution and perspectively for monitoring tumor progression. Our data reveal a potential prognostic relevance of somatic mtDNA mutations.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Heterogeneity; Lung adenocarcinoma; Mitochondria; Somatic mtDNA mutations

Mesh:

Substances:

Year:  2018        PMID: 30527196     DOI: 10.1016/j.lungcan.2018.10.024

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  3 in total

1.  Automated sample preparation with SP3 for low-input clinical proteomics.

Authors:  Torsten Müller; Mathias Kalxdorf; Rémi Longuespée; Daniel N Kazdal; Albrecht Stenzinger; Jeroen Krijgsveld
Journal:  Mol Syst Biol       Date:  2020-01       Impact factor: 11.429

2.  Somatic mitochondrial mutation discovery using ultra-deep sequencing of the mitochondrial genome reveals spatial tumor heterogeneity in head and neck squamous cell carcinoma.

Authors:  Adrian D Schubert; Esther Channah Broner; Nishant Agrawal; Nyall London; Alexander Pearson; Anuj Gupta; Neha Wali; Tanguy Y Seiwert; Sarah Wheelan; Mark Lingen; Kay Macleod; Hailey Allen; Aditi Chatterjee; Saloura Vassiliki; Daria Gaykalova; Mohammad O Hoque; David Sidransky; Karthik Suresh; Evgeny Izumchenko
Journal:  Cancer Lett       Date:  2019-12-10       Impact factor: 8.679

3.  Mitochondrial DNA Mutation Analysis in Breast Cancer: Shifting From Germline Heteroplasmy Toward Homoplasmy in Tumors.

Authors:  Carlos Jhovani Pérez-Amado; Hugo Tovar; Laura Gómez-Romero; Fredy Omar Beltrán-Anaya; Verónica Bautista-Piña; Carlos Dominguez-Reyes; Felipe Villegas-Carlos; Alberto Tenorio-Torres; Luis Alberto Alfaro-Ruíz; Alfredo Hidalgo-Miranda; Silvia Jiménez-Morales
Journal:  Front Oncol       Date:  2020-10-27       Impact factor: 6.244

  3 in total

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