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Performance of mitochondrial DNA mutations detecting early stage cancer

BACKGROUND: Mutations in the mitochondrial genome (mtgenome) have been associated with cancer and many other disorders. These mutations can be point mutations or deletions, or admixtures (heteroplasmy). The detection of mtDNA mutations in body fluids using resequencing microarrays, which are more se...

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Autores principales: Jakupciak, John P, Maragh, Samantha, Markowitz, Maura E, Greenberg, Alissa K, Hoque, Mohammad O, Maitra, Anirban, Barker, Peter E, Wagner, Paul D, Rom, William N, Srivastava, Sudhir, Sidransky, David, O'Connell, Catherine D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572633/
https://www.ncbi.nlm.nih.gov/pubmed/18834532
http://dx.doi.org/10.1186/1471-2407-8-285
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author Jakupciak, John P
Maragh, Samantha
Markowitz, Maura E
Greenberg, Alissa K
Hoque, Mohammad O
Maitra, Anirban
Barker, Peter E
Wagner, Paul D
Rom, William N
Srivastava, Sudhir
Sidransky, David
O'Connell, Catherine D
author_facet Jakupciak, John P
Maragh, Samantha
Markowitz, Maura E
Greenberg, Alissa K
Hoque, Mohammad O
Maitra, Anirban
Barker, Peter E
Wagner, Paul D
Rom, William N
Srivastava, Sudhir
Sidransky, David
O'Connell, Catherine D
author_sort Jakupciak, John P
collection PubMed
description BACKGROUND: Mutations in the mitochondrial genome (mtgenome) have been associated with cancer and many other disorders. These mutations can be point mutations or deletions, or admixtures (heteroplasmy). The detection of mtDNA mutations in body fluids using resequencing microarrays, which are more sensitive than other sequencing methods, could provide a strategy to measure mutation loads in remote anatomical sites. METHODS: We determined the mtDNA mutation load in the entire mitochondrial genome of 26 individuals with different early stage cancers (lung, bladder, kidney) and 12 heavy smokers without cancer. MtDNA was sequenced from three matched specimens (blood, tumor and body fluid) from each cancer patient and two matched specimens (blood and sputum) from smokers without cancer. The inherited wildtype sequence in the blood was compared to the sequences present in the tumor and body fluid, detected using the Affymetrix Genechip(® )Human Mitochondrial Resequencing Array 1.0 and supplemented by capillary sequencing for noncoding region. RESULTS: Using this high-throughput method, 75% of the tumors were found to contain mtDNA mutations, higher than in our previous studies, and 36% of the body fluids from these cancer patients contained mtDNA mutations. Most of the mutations detected were heteroplasmic. A statistically significantly higher heteroplasmy rate occurred in tumor specimens when compared to both body fluid of cancer patients and sputum of controls, and in patient blood compared to blood of controls. Only 2 of the 12 sputum specimens from heavy smokers without cancer (17%) contained mtDNA mutations. Although patient mutations were spread throughout the mtDNA genome in the lung, bladder and kidney series, a statistically significant elevation of tRNA and ND complex mutations was detected in tumors. CONCLUSION: Our findings indicate comprehensive mtDNA resequencing can be a high-throughput tool for detecting mutations in clinical samples with potential applications for cancer detection, but it is unclear the biological relevance of these detected mitochondrial mutations. Whether the detection of tumor-specific mtDNA mutations in body fluidsy this method will be useful for diagnosis and monitoring applications requires further investigation.
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spelling pubmed-25726332008-10-25 Performance of mitochondrial DNA mutations detecting early stage cancer Jakupciak, John P Maragh, Samantha Markowitz, Maura E Greenberg, Alissa K Hoque, Mohammad O Maitra, Anirban Barker, Peter E Wagner, Paul D Rom, William N Srivastava, Sudhir Sidransky, David O'Connell, Catherine D BMC Cancer Research Article BACKGROUND: Mutations in the mitochondrial genome (mtgenome) have been associated with cancer and many other disorders. These mutations can be point mutations or deletions, or admixtures (heteroplasmy). The detection of mtDNA mutations in body fluids using resequencing microarrays, which are more sensitive than other sequencing methods, could provide a strategy to measure mutation loads in remote anatomical sites. METHODS: We determined the mtDNA mutation load in the entire mitochondrial genome of 26 individuals with different early stage cancers (lung, bladder, kidney) and 12 heavy smokers without cancer. MtDNA was sequenced from three matched specimens (blood, tumor and body fluid) from each cancer patient and two matched specimens (blood and sputum) from smokers without cancer. The inherited wildtype sequence in the blood was compared to the sequences present in the tumor and body fluid, detected using the Affymetrix Genechip(® )Human Mitochondrial Resequencing Array 1.0 and supplemented by capillary sequencing for noncoding region. RESULTS: Using this high-throughput method, 75% of the tumors were found to contain mtDNA mutations, higher than in our previous studies, and 36% of the body fluids from these cancer patients contained mtDNA mutations. Most of the mutations detected were heteroplasmic. A statistically significantly higher heteroplasmy rate occurred in tumor specimens when compared to both body fluid of cancer patients and sputum of controls, and in patient blood compared to blood of controls. Only 2 of the 12 sputum specimens from heavy smokers without cancer (17%) contained mtDNA mutations. Although patient mutations were spread throughout the mtDNA genome in the lung, bladder and kidney series, a statistically significant elevation of tRNA and ND complex mutations was detected in tumors. CONCLUSION: Our findings indicate comprehensive mtDNA resequencing can be a high-throughput tool for detecting mutations in clinical samples with potential applications for cancer detection, but it is unclear the biological relevance of these detected mitochondrial mutations. Whether the detection of tumor-specific mtDNA mutations in body fluidsy this method will be useful for diagnosis and monitoring applications requires further investigation. BioMed Central 2008-10-03 /pmc/articles/PMC2572633/ /pubmed/18834532 http://dx.doi.org/10.1186/1471-2407-8-285 Text en Copyright © 2008 Jakupciak et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jakupciak, John P
Maragh, Samantha
Markowitz, Maura E
Greenberg, Alissa K
Hoque, Mohammad O
Maitra, Anirban
Barker, Peter E
Wagner, Paul D
Rom, William N
Srivastava, Sudhir
Sidransky, David
O'Connell, Catherine D
Performance of mitochondrial DNA mutations detecting early stage cancer
title Performance of mitochondrial DNA mutations detecting early stage cancer
title_full Performance of mitochondrial DNA mutations detecting early stage cancer
title_fullStr Performance of mitochondrial DNA mutations detecting early stage cancer
title_full_unstemmed Performance of mitochondrial DNA mutations detecting early stage cancer
title_short Performance of mitochondrial DNA mutations detecting early stage cancer
title_sort performance of mitochondrial dna mutations detecting early stage cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2572633/
https://www.ncbi.nlm.nih.gov/pubmed/18834532
http://dx.doi.org/10.1186/1471-2407-8-285
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