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Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer

BACKGROUND: Breast cancer is, despite screening, not always detected early enough and is together with other tumor types known to shed genetic information in circulation. Unlike single-copy nuclear DNA, mitochondrial DNA (mtDNA) copies range from 100s to 10,000s per cell, thus providing a potentiall...

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Autores principales: Li, Yanni, Sundquist, Kristina, Vats, Sakshi, Hong, Mun-Gwan, Wang, Xiao, Chen, Yilun, Hedelius, Anna, Saal, Lao H., Sundquist, Jan, Memon, Ashfaque A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557196/
https://www.ncbi.nlm.nih.gov/pubmed/37798736
http://dx.doi.org/10.1186/s12967-023-04534-4
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author Li, Yanni
Sundquist, Kristina
Vats, Sakshi
Hong, Mun-Gwan
Wang, Xiao
Chen, Yilun
Hedelius, Anna
Saal, Lao H.
Sundquist, Jan
Memon, Ashfaque A.
author_facet Li, Yanni
Sundquist, Kristina
Vats, Sakshi
Hong, Mun-Gwan
Wang, Xiao
Chen, Yilun
Hedelius, Anna
Saal, Lao H.
Sundquist, Jan
Memon, Ashfaque A.
author_sort Li, Yanni
collection PubMed
description BACKGROUND: Breast cancer is, despite screening, not always detected early enough and is together with other tumor types known to shed genetic information in circulation. Unlike single-copy nuclear DNA, mitochondrial DNA (mtDNA) copies range from 100s to 10,000s per cell, thus providing a potentially alternative to identify potential missing cancer information in circulation at an early stage. METHODS: To characterize mitochondrial mutation landscapes in breast cancer, whole mtDNA sequencing and bioinformatics analyses were performed on 86 breast cancer biopsies and 50 available matched baseline cancer-free whole blood samples from the same individuals, selected from a cohort of middle-aged women in Sweden. To determine whether the mutations can be detected in blood plasma prior to cancer diagnosis, we further designed a nested case-control study (n = 663) and validated the shortlisted mutations using droplet digital PCR. RESULTS: We detected different mutation landscapes between biopsies and matched whole blood samples. Compared to whole blood samples, mtDNA from biopsies had higher heteroplasmic mutations in the D-loop region (P = 0.02), RNR2 (P = 0.005), COX1 (P = 0.037) and CYTB (P = 0.006). Furthermore, the germline mtDNA mutations had higher heteroplasmy level than the lost (P = 0.002) and de novo mutations (P = 0.04). The nonsynonymous to synonymous substitution ratio (dN/dS) was higher for the heteroplasmic mutations (P = 7.25 × 10(−12)) than that for the homoplasmic mutations, but the de novo (P = 0.06) and lost mutations (P = 0.03) had lower dN/dS than the germline mutations. Interestingly, we found that the critical regions for mitochondrial transcription: MT-HSP1 (odds ratio [OR]: 21.41), MT-TFH (OR: 7.70) and MT-TAS2 (OR: 3.62), had significantly higher heteroplasmic mutations than the rest of the D-loop sub-regions. Finally, we found that the presence of mt.16093T > C mutation increases 67% risk of developing breast cancer. CONCLUSIONS: Our findings show that mitochondrial genetic landscape changes during cancer pathogenesis and positive selection of mtDNA heteroplasmic mutations in breast cancer. Most importantly, the mitochondrial mutations identified in biopsies can be traced back in matched plasma samples and could potentially be used as early breast cancer diagnostic biomarkers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04534-4.
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spelling pubmed-105571962023-10-07 Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer Li, Yanni Sundquist, Kristina Vats, Sakshi Hong, Mun-Gwan Wang, Xiao Chen, Yilun Hedelius, Anna Saal, Lao H. Sundquist, Jan Memon, Ashfaque A. J Transl Med Research BACKGROUND: Breast cancer is, despite screening, not always detected early enough and is together with other tumor types known to shed genetic information in circulation. Unlike single-copy nuclear DNA, mitochondrial DNA (mtDNA) copies range from 100s to 10,000s per cell, thus providing a potentially alternative to identify potential missing cancer information in circulation at an early stage. METHODS: To characterize mitochondrial mutation landscapes in breast cancer, whole mtDNA sequencing and bioinformatics analyses were performed on 86 breast cancer biopsies and 50 available matched baseline cancer-free whole blood samples from the same individuals, selected from a cohort of middle-aged women in Sweden. To determine whether the mutations can be detected in blood plasma prior to cancer diagnosis, we further designed a nested case-control study (n = 663) and validated the shortlisted mutations using droplet digital PCR. RESULTS: We detected different mutation landscapes between biopsies and matched whole blood samples. Compared to whole blood samples, mtDNA from biopsies had higher heteroplasmic mutations in the D-loop region (P = 0.02), RNR2 (P = 0.005), COX1 (P = 0.037) and CYTB (P = 0.006). Furthermore, the germline mtDNA mutations had higher heteroplasmy level than the lost (P = 0.002) and de novo mutations (P = 0.04). The nonsynonymous to synonymous substitution ratio (dN/dS) was higher for the heteroplasmic mutations (P = 7.25 × 10(−12)) than that for the homoplasmic mutations, but the de novo (P = 0.06) and lost mutations (P = 0.03) had lower dN/dS than the germline mutations. Interestingly, we found that the critical regions for mitochondrial transcription: MT-HSP1 (odds ratio [OR]: 21.41), MT-TFH (OR: 7.70) and MT-TAS2 (OR: 3.62), had significantly higher heteroplasmic mutations than the rest of the D-loop sub-regions. Finally, we found that the presence of mt.16093T > C mutation increases 67% risk of developing breast cancer. CONCLUSIONS: Our findings show that mitochondrial genetic landscape changes during cancer pathogenesis and positive selection of mtDNA heteroplasmic mutations in breast cancer. Most importantly, the mitochondrial mutations identified in biopsies can be traced back in matched plasma samples and could potentially be used as early breast cancer diagnostic biomarkers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04534-4. BioMed Central 2023-10-05 /pmc/articles/PMC10557196/ /pubmed/37798736 http://dx.doi.org/10.1186/s12967-023-04534-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Yanni
Sundquist, Kristina
Vats, Sakshi
Hong, Mun-Gwan
Wang, Xiao
Chen, Yilun
Hedelius, Anna
Saal, Lao H.
Sundquist, Jan
Memon, Ashfaque A.
Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
title Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
title_full Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
title_fullStr Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
title_full_unstemmed Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
title_short Mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
title_sort mitochondrial heteroplasmic shifts reveal a positive selection of breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557196/
https://www.ncbi.nlm.nih.gov/pubmed/37798736
http://dx.doi.org/10.1186/s12967-023-04534-4
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