RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families

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RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families. / Larsen, Martin J; Thomassen, Mads; Tan, Qihua; Lænkholm, Anne-Vibeke; Bak, Martin; Sørensen, Kristina P; Andersen, Mette Klarskov; Kruse, Torben A; Gerdes, Anne-Marie.

I: B M C Medical Genomics, Bind 7, 2014, s. 9.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Larsen, MJ, Thomassen, M, Tan, Q, Lænkholm, A-V, Bak, M, Sørensen, KP, Andersen, MK, Kruse, TA & Gerdes, A-M 2014, 'RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families', B M C Medical Genomics, bind 7, s. 9. https://doi.org/10.1186/1755-8794-7-9

APA

Larsen, M. J., Thomassen, M., Tan, Q., Lænkholm, A-V., Bak, M., Sørensen, K. P., ... Gerdes, A-M. (2014). RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families. B M C Medical Genomics, 7, 9. https://doi.org/10.1186/1755-8794-7-9

Vancouver

Larsen MJ, Thomassen M, Tan Q, Lænkholm A-V, Bak M, Sørensen KP o.a. RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families. B M C Medical Genomics. 2014;7:9. https://doi.org/10.1186/1755-8794-7-9

Author

Larsen, Martin J ; Thomassen, Mads ; Tan, Qihua ; Lænkholm, Anne-Vibeke ; Bak, Martin ; Sørensen, Kristina P ; Andersen, Mette Klarskov ; Kruse, Torben A ; Gerdes, Anne-Marie. / RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families. I: B M C Medical Genomics. 2014 ; Bind 7. s. 9.

Bibtex

@article{8ee7e4a818374e0483d433f0f31186b0,
title = "RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families",
abstract = "BACKGROUND: In more than 70{\%} of families with a strong history of breast and ovarian cancers, pathogenic mutation in BRCA1 or BRCA2 cannot be identified, even though hereditary factors are expected to be involved. It has been proposed that tumors with similar molecular phenotypes also share similar underlying pathophysiological mechanisms. In the current study, the aim was to investigate if global RNA profiling can be used to identify functional subgroups within breast tumors from families tested negative for BRCA1/2 germline mutations and how these subgroupings relate to different breast cancer patients within the same family.METHODS: In the current study we analyzed a collection of 70 frozen breast tumor biopsies from a total of 58 families by global RNA profiling and promoter methylation analysis.RESULTS: We show that distinct functional subgroupings, similar to the intrinsic molecular breast cancer subtypes, exist among non-BRCA1/2 breast cancers. The distribution of subtypes was markedly different from the distribution found among BRCA1/2 mutation carriers. From 11 breast cancer families, breast tumor biopsies from more than one affected family member were included in the study. Notably, in 8 of these families we found that patients from the same family shared the same tumor subtype, showing a tendency of familial aggregation of tumor subtypes (p-value = 1.7e-3). Using our previously developed BRCA1/2-signatures, we identified 7 non-BRCA1/2 tumors with a BRCA1-like molecular phenotype and provide evidence for epigenetic inactivation of BRCA1 in three of the tumors. In addition, 7 BRCA2-like tumors were found.CONCLUSIONS: Our finding indicates involvement of hereditary factors in non-BRCA1/2 breast cancer families in which family members may carry genetic susceptibility not just to breast cancer but to a particular subtype of breast cancer. This is the first study to provide a biological link between breast cancers from family members of high-risk non-BRCA1/2 families in a systematic manner, suggesting that future genetic analysis may benefit from subgrouping families into molecularly homogeneous subtypes in order to search for new high penetrance susceptibility genes.",
keywords = "Adult, Aged, Aged, 80 and over, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, Cluster Analysis, DNA Methylation, Epigenesis, Genetic, Family, Female, Gene Expression Profiling, Genes, Neoplasm, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Pedigree, Principal Component Analysis, Promoter Regions, Genetic, RNA, Messenger, RNA, Neoplasm, Receptors, Estrogen",
author = "Larsen, {Martin J} and Mads Thomassen and Qihua Tan and Anne-Vibeke L{\ae}nkholm and Martin Bak and S{\o}rensen, {Kristina P} and Andersen, {Mette Klarskov} and Kruse, {Torben A} and Anne-Marie Gerdes",
year = "2014",
doi = "10.1186/1755-8794-7-9",
language = "English",
volume = "7",
pages = "9",
journal = "B M C Medical Genomics",
issn = "1755-8794",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families

AU - Larsen, Martin J

AU - Thomassen, Mads

AU - Tan, Qihua

AU - Lænkholm, Anne-Vibeke

AU - Bak, Martin

AU - Sørensen, Kristina P

AU - Andersen, Mette Klarskov

AU - Kruse, Torben A

AU - Gerdes, Anne-Marie

PY - 2014

Y1 - 2014

N2 - BACKGROUND: In more than 70% of families with a strong history of breast and ovarian cancers, pathogenic mutation in BRCA1 or BRCA2 cannot be identified, even though hereditary factors are expected to be involved. It has been proposed that tumors with similar molecular phenotypes also share similar underlying pathophysiological mechanisms. In the current study, the aim was to investigate if global RNA profiling can be used to identify functional subgroups within breast tumors from families tested negative for BRCA1/2 germline mutations and how these subgroupings relate to different breast cancer patients within the same family.METHODS: In the current study we analyzed a collection of 70 frozen breast tumor biopsies from a total of 58 families by global RNA profiling and promoter methylation analysis.RESULTS: We show that distinct functional subgroupings, similar to the intrinsic molecular breast cancer subtypes, exist among non-BRCA1/2 breast cancers. The distribution of subtypes was markedly different from the distribution found among BRCA1/2 mutation carriers. From 11 breast cancer families, breast tumor biopsies from more than one affected family member were included in the study. Notably, in 8 of these families we found that patients from the same family shared the same tumor subtype, showing a tendency of familial aggregation of tumor subtypes (p-value = 1.7e-3). Using our previously developed BRCA1/2-signatures, we identified 7 non-BRCA1/2 tumors with a BRCA1-like molecular phenotype and provide evidence for epigenetic inactivation of BRCA1 in three of the tumors. In addition, 7 BRCA2-like tumors were found.CONCLUSIONS: Our finding indicates involvement of hereditary factors in non-BRCA1/2 breast cancer families in which family members may carry genetic susceptibility not just to breast cancer but to a particular subtype of breast cancer. This is the first study to provide a biological link between breast cancers from family members of high-risk non-BRCA1/2 families in a systematic manner, suggesting that future genetic analysis may benefit from subgrouping families into molecularly homogeneous subtypes in order to search for new high penetrance susceptibility genes.

AB - BACKGROUND: In more than 70% of families with a strong history of breast and ovarian cancers, pathogenic mutation in BRCA1 or BRCA2 cannot be identified, even though hereditary factors are expected to be involved. It has been proposed that tumors with similar molecular phenotypes also share similar underlying pathophysiological mechanisms. In the current study, the aim was to investigate if global RNA profiling can be used to identify functional subgroups within breast tumors from families tested negative for BRCA1/2 germline mutations and how these subgroupings relate to different breast cancer patients within the same family.METHODS: In the current study we analyzed a collection of 70 frozen breast tumor biopsies from a total of 58 families by global RNA profiling and promoter methylation analysis.RESULTS: We show that distinct functional subgroupings, similar to the intrinsic molecular breast cancer subtypes, exist among non-BRCA1/2 breast cancers. The distribution of subtypes was markedly different from the distribution found among BRCA1/2 mutation carriers. From 11 breast cancer families, breast tumor biopsies from more than one affected family member were included in the study. Notably, in 8 of these families we found that patients from the same family shared the same tumor subtype, showing a tendency of familial aggregation of tumor subtypes (p-value = 1.7e-3). Using our previously developed BRCA1/2-signatures, we identified 7 non-BRCA1/2 tumors with a BRCA1-like molecular phenotype and provide evidence for epigenetic inactivation of BRCA1 in three of the tumors. In addition, 7 BRCA2-like tumors were found.CONCLUSIONS: Our finding indicates involvement of hereditary factors in non-BRCA1/2 breast cancer families in which family members may carry genetic susceptibility not just to breast cancer but to a particular subtype of breast cancer. This is the first study to provide a biological link between breast cancers from family members of high-risk non-BRCA1/2 families in a systematic manner, suggesting that future genetic analysis may benefit from subgrouping families into molecularly homogeneous subtypes in order to search for new high penetrance susceptibility genes.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - BRCA1 Protein

KW - BRCA2 Protein

KW - Breast Neoplasms

KW - Cluster Analysis

KW - DNA Methylation

KW - Epigenesis, Genetic

KW - Family

KW - Female

KW - Gene Expression Profiling

KW - Genes, Neoplasm

KW - Genetic Predisposition to Disease

KW - Humans

KW - Male

KW - Middle Aged

KW - Pedigree

KW - Principal Component Analysis

KW - Promoter Regions, Genetic

KW - RNA, Messenger

KW - RNA, Neoplasm

KW - Receptors, Estrogen

U2 - 10.1186/1755-8794-7-9

DO - 10.1186/1755-8794-7-9

M3 - Journal article

VL - 7

SP - 9

JO - B M C Medical Genomics

T2 - B M C Medical Genomics

JF - B M C Medical Genomics

SN - 1755-8794

ER -

ID: 135495615