APOBEC3B upregulation and genomic mutation patterns in serous ovarian carcinoma
Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here, we report wide variation in the expression of the DNA cytosine deaminase APOBEC3B, with elevated expression in the majority of ovarian cancer cell lines (three SDs abov...
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Published in | Cancer research (Chicago, Ill.) Vol. 73; no. 24; pp. 7222 - 7231 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
15.12.2013
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Abstract | Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here, we report wide variation in the expression of the DNA cytosine deaminase APOBEC3B, with elevated expression in the majority of ovarian cancer cell lines (three SDs above the mean of normal ovarian surface epithelial cells) and high-grade primary ovarian cancers. APOBEC3B is active in the nucleus of several ovarian cancer cell lines and elicits a biochemical preference for deamination of cytosines in 5'-TC dinucleotides. Importantly, examination of whole-genome sequence from 16 ovarian cancers reveals that APOBEC3B expression correlates with total mutation load as well as elevated levels of transversion mutations. In particular, high APOBEC3B expression correlates with C-to-A and C-to-G transversion mutations within 5'-TC dinucleotide motifs in early-stage high-grade serous ovarian cancer genomes, suggesting that APOBEC3B-catalyzed genomic uracil lesions are further processed by downstream DNA "repair" enzymes including error-prone translesion polymerases. These data identify a potential role for APOBEC3B in serous ovarian cancer genomic instability. |
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AbstractList | Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here we report wide variation in expression of the DNA cytosine deaminase APOBEC3B, with elevated expression in a majority of ovarian cancer cell lines (3 standard deviations above the mean of normal ovarian surface epithelial cells) and high grade primary ovarian cancers. APOBEC3B is active in the nucleus of several ovarian cancer cell lines and elicits a biochemical preference for deamination of cytosines in 5′TC dinucleotides. Importantly, examination of whole-genome sequence from 16 ovarian cancers reveals that
APOBEC3B
expression correlates with total mutation load as well as elevated levels of transversion mutations. In particular, high
APOBEC3B
expression correlates with C-to-A and C-to-G transversion mutations within 5′TC dinucleotide motifs in early-stage high grade serous ovarian cancer genomes, suggesting that APOBEC3B-catalyzed genomic uracil lesions are further processed by downstream DNA ‘repair’ enzymes including error-prone translesion polymerases. These data identify a potential role for APOBEC3B in serous ovarian cancer genomic instability. Abstract Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here, we report wide variation in the expression of the DNA cytosine deaminase APOBEC3B, with elevated expression in the majority of ovarian cancer cell lines (three SDs above the mean of normal ovarian surface epithelial cells) and high-grade primary ovarian cancers. APOBEC3B is active in the nucleus of several ovarian cancer cell lines and elicits a biochemical preference for deamination of cytosines in 5′-TC dinucleotides. Importantly, examination of whole-genome sequence from 16 ovarian cancers reveals that APOBEC3B expression correlates with total mutation load as well as elevated levels of transversion mutations. In particular, high APOBEC3B expression correlates with C-to-A and C-to-G transversion mutations within 5′-TC dinucleotide motifs in early-stage high-grade serous ovarian cancer genomes, suggesting that APOBEC3B-catalyzed genomic uracil lesions are further processed by downstream DNA "repair" enzymes including error-prone translesion polymerases. These data identify a potential role for APOBEC3B in serous ovarian cancer genomic instability. Cancer Res; 73(24); 7222–31. ©2013 AACR. Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here, we report wide variation in the expression of the DNA cytosine deaminase APOBEC3B, with elevated expression in the majority of ovarian cancer cell lines (three SDs above the mean of normal ovarian surface epithelial cells) and high-grade primary ovarian cancers. APOBEC3B is active in the nucleus of several ovarian cancer cell lines and elicits a biochemical preference for deamination of cytosines in 5'-TC dinucleotides. Importantly, examination of whole-genome sequence from 16 ovarian cancers reveals that APOBEC3B expression correlates with total mutation load as well as elevated levels of transversion mutations. In particular, high APOBEC3B expression correlates with C-to-A and C-to-G transversion mutations within 5'-TC dinucleotide motifs in early-stage high-grade serous ovarian cancer genomes, suggesting that APOBEC3B-catalyzed genomic uracil lesions are further processed by downstream DNA "repair" enzymes including error-prone translesion polymerases. These data identify a potential role for APOBEC3B in serous ovarian cancer genomic instability. Mutagenesis by APOBEC3B explains some of the genomic instability seen in ovarian cancer and represents a potential novel drug target for ovarian cancer treatment. |
Author | Vogel, Rachel I Humphray, Sean Shridhar, Viji Kingsbury, Zoya Temiz, Nuri A Swisher, Elizabeth M Oberg, Ann L Harris, Reuben S Bibikova, Marina Leonard, Brandon Hart, Steven N Kalli, Kimberly R Kaufmann, Scott H Maurer, Matthew J Law, Emily K Peden, John Nikas, Jason B Carpenter, Michael A Bell, Debra A Burns, Michael B Cheetham, R Keira Hartmann, Lynn C Rathore, Anurag Zhang, Yuji Sicotte, Hugues Bentley, David Fan, Jian-Bing Chien, Jeremy Goode, Ellen L Li, Ying Grocock, Russell Brown, William L April, Craig Cunningham, Julie M |
AuthorAffiliation | 3 Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA 11 Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA 5 Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN 55905, USA 7 Department of Cancer Biology, University of Kansas, Kansas City, KS 66160, USA 6 Illumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, Cambridge CB10 1XL, UK 8 Department of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, WA 98195, USA 9 Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA 13 Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA 2 Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA 12 Division of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN 55905 USA 1 Biochemistry, Molecular |
AuthorAffiliation_xml | – name: 12 Division of Oncology Research, Department of Oncology, Mayo Clinic, Rochester, MN 55905 USA – name: 2 Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA – name: 4 Medical Genome Facility and Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN 55905, USA – name: 9 Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA – name: 8 Department of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, WA 98195, USA – name: 1 Biochemistry, Molecular Biology and Biophysics Department, University of Minnesota, Minneapolis, MN 55455, USA – name: 6 Illumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, Cambridge CB10 1XL, UK – name: 3 Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA – name: 5 Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN 55905, USA – name: 11 Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA – name: 7 Department of Cancer Biology, University of Kansas, Kansas City, KS 66160, USA – name: 13 Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA – name: 10 Women’s Cancer Program, Mayo Clinic Cancer Center, Rochester, MN 55905 USA |
Author_xml | – sequence: 1 givenname: Brandon surname: Leonard fullname: Leonard, Brandon organization: Authors' Affiliations: Biochemistry, Molecular Biology and Biophysics Department; Masonic Cancer Center, University of Minnesota, Minneapolis; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research; Medical Genome Facility and Department of Laboratory Medicine and Pathology; Department of Laboratory Medicine and Pathology; Division of Medical Oncology, Department of Oncology; Division of Epidemiology, Department of Health Sciences Research; Division of Oncology Research, Department of Oncology; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic; Women's Cancer Program, Mayo Clinic Cancer Center, Rochester, Minnesota; Department of Cancer Biology, University of Kansas, Kansas City, Kansas; Department of Obstetrics & Gynecology, University of Washington School of Medicine, Seattle, Washington; and Illumina Cambridge Ltd, Chesterford Research Park, Little Chesterford, Cambridge, United Kingdom – sequence: 2 givenname: Steven N surname: Hart fullname: Hart, Steven N – sequence: 3 givenname: Michael B surname: Burns fullname: Burns, Michael B – sequence: 4 givenname: Michael A surname: Carpenter fullname: Carpenter, Michael A – sequence: 5 givenname: Nuri A surname: Temiz fullname: Temiz, Nuri A – sequence: 6 givenname: Anurag surname: Rathore fullname: Rathore, Anurag – sequence: 7 givenname: Rachel I surname: Vogel fullname: Vogel, Rachel I – sequence: 8 givenname: Jason B surname: Nikas fullname: Nikas, Jason B – sequence: 9 givenname: Emily K surname: Law fullname: Law, Emily K – sequence: 10 givenname: William L surname: Brown fullname: Brown, William L – sequence: 11 givenname: Ying surname: Li fullname: Li, Ying – sequence: 12 givenname: Yuji surname: Zhang fullname: Zhang, Yuji – sequence: 13 givenname: Matthew J surname: Maurer fullname: Maurer, Matthew J – sequence: 14 givenname: Ann L surname: Oberg fullname: Oberg, Ann L – sequence: 15 givenname: Julie M surname: Cunningham fullname: Cunningham, Julie M – sequence: 16 givenname: Viji surname: Shridhar fullname: Shridhar, Viji – sequence: 17 givenname: Debra A surname: Bell fullname: Bell, Debra A – sequence: 18 givenname: Craig surname: April fullname: April, Craig – sequence: 19 givenname: David surname: Bentley fullname: Bentley, David – sequence: 20 givenname: Marina surname: Bibikova fullname: Bibikova, Marina – sequence: 21 givenname: R Keira surname: Cheetham fullname: Cheetham, R Keira – sequence: 22 givenname: Jian-Bing surname: Fan fullname: Fan, Jian-Bing – sequence: 23 givenname: Russell surname: Grocock fullname: Grocock, Russell – sequence: 24 givenname: Sean surname: Humphray fullname: Humphray, Sean – sequence: 25 givenname: Zoya surname: Kingsbury fullname: Kingsbury, Zoya – sequence: 26 givenname: John surname: Peden fullname: Peden, John – sequence: 27 givenname: Jeremy surname: Chien fullname: Chien, Jeremy – sequence: 28 givenname: Elizabeth M surname: Swisher fullname: Swisher, Elizabeth M – sequence: 29 givenname: Lynn C surname: Hartmann fullname: Hartmann, Lynn C – sequence: 30 givenname: Kimberly R surname: Kalli fullname: Kalli, Kimberly R – sequence: 31 givenname: Ellen L surname: Goode fullname: Goode, Ellen L – sequence: 32 givenname: Hugues surname: Sicotte fullname: Sicotte, Hugues – sequence: 33 givenname: Scott H surname: Kaufmann fullname: Kaufmann, Scott H – sequence: 34 givenname: Reuben S surname: Harris fullname: Harris, Reuben S |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24154874$$D View this record in MEDLINE/PubMed |
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Snippet | Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here, we report wide variation in... Abstract Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here, we report wide... Mutagenesis by APOBEC3B explains some of the genomic instability seen in ovarian cancer and represents a potential novel drug target for ovarian cancer... Ovarian cancer is a clinically and molecularly heterogeneous disease. The driving forces behind this variability are unknown. Here we report wide variation in... |
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SubjectTerms | Carcinoma, Ovarian Epithelial Cell Line, Tumor Cystadenocarcinoma, Serous - enzymology Cystadenocarcinoma, Serous - genetics Cystadenocarcinoma, Serous - pathology Cytidine Deaminase - biosynthesis Cytidine Deaminase - genetics Cytidine Deaminase - metabolism Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Knockdown Techniques Genomics Humans Minor Histocompatibility Antigens Mutation Neoplasms, Glandular and Epithelial - enzymology Neoplasms, Glandular and Epithelial - genetics Neoplasms, Glandular and Epithelial - pathology Ovarian Neoplasms - enzymology Ovarian Neoplasms - genetics Ovarian Neoplasms - pathology RNA, Messenger - genetics RNA, Messenger - metabolism Up-Regulation |
Title | APOBEC3B upregulation and genomic mutation patterns in serous ovarian carcinoma |
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