LymphedemaV1, PubMed, Checkpoint, bibRecord, 000713

Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.

Identifieur interne : 000713 ( PubMed/Checkpoint ); précédent : 000712; suivant : 000714

Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.

Auteurs : Mei R. Fu [États-Unis] ; Yvette P. Conley [États-Unis] ; Deborah Axelrod [États-Unis] ; Amber A. Guth [États-Unis] ; Gary Yu [États-Unis] ; Jason Fletcher [États-Unis] ; David Zagzag [États-Unis]

Source :

Breast (Edinburgh, Scotland) [ 1532-3080 ] ; 2016.

RBID : pubmed:27460425

Descripteurs français

KwdFr :
- Adulte, Adulte d'âge moyen, Bras, Complications postopératoires (génétique), Complications postopératoires (étiologie), Cytokines (analyse), Facteur de croissance endothéliale vasculaire de type C (analyse), Facteur de croissance endothéliale vasculaire de type D (analyse), Facteurs de risque, Femelle, Génotype, Humains, Lymphoedème après cancer du sein (génétique), Mastectomie (effets indésirables), Phénotype, Salive (métabolisme), Tumeurs du sein (), Tumeurs du sein (génétique), Tumeurs du sein (métabolisme), Études prospectives.
MESH :
- analyse : Cytokines, Facteur de croissance endothéliale vasculaire de type C, Facteur de croissance endothéliale vasculaire de type D.
- effets indésirables : Mastectomie.
- génétique : Complications postopératoires, Lymphoedème après cancer du sein, Tumeurs du sein.
- métabolisme : Salive, Tumeurs du sein.
- étiologie : Complications postopératoires.
- Adulte, Adulte d'âge moyen, Bras, Facteurs de risque, Femelle, Génotype, Humains, Phénotype, Tumeurs du sein, Études prospectives.

English descriptors

KwdEn :
- Adult, Arm, Breast Cancer Lymphedema (genetics), Breast Neoplasms (genetics), Breast Neoplasms (metabolism), Breast Neoplasms (surgery), Cytokines (analysis), Female, Genotype, Humans, Mastectomy (adverse effects), Middle Aged, Phenotype, Postoperative Complications (etiology), Postoperative Complications (genetics), Prospective Studies, Risk Factors, Saliva (metabolism), Vascular Endothelial Growth Factor C (analysis), Vascular Endothelial Growth Factor D (analysis).
MESH :
- chemical , analysis : Cytokines, Vascular Endothelial Growth Factor C, Vascular Endothelial Growth Factor D.
- adverse effects : Mastectomy.
- etiology : Postoperative Complications.
- genetics : Breast Cancer Lymphedema, Breast Neoplasms, Postoperative Complications.
- metabolism : Breast Neoplasms, Saliva.
- surgery : Breast Neoplasms.
- Adult, Arm, Female, Genotype, Humans, Middle Aged, Phenotype, Prospective Studies, Risk Factors.

Abstract

Lymphedema following breast cancer surgery is considered to be mainly due to the mechanical injury from surgery. Recent research identified that inflammation-infection and obesity may be the important predictors for lymphedema. The purpose of this exploratory research was to prospectively examine phenotype of arm lymphedema defined by limb volume and lymphedema symptoms in relation to inflammatory genes in women treated for breast cancer. A prospective, descriptive and repeated-measure design using candidate gene association method was used to enroll 140 women at pre-surgery and followed at 4-8 weeks and 12 months post-surgery. Arm lymphedema was determined by a perometer measurement of ≥5% limb volume increase from baseline of pre-surgery. Lymphedema symptom phenotype was evaluated using a reliable and valid instrument. Saliva samples were collected for DNA extraction. Genes known for inflammation were evaluated, including lymphatic specific growth factors (VEGF-C & VEGF-D), cytokines (IL1-a, IL-4, IL6, IL8, IL10, & IL13), and tumor necrosis factor-a (TNF-a). No significant associations were found between arm lymphedema phenotype and any inflammatory genetic variations. IL1-a rs17561 was marginally associated with symptom count phenotype of ≥8 symptoms. IL-4 rs2070874 was significantly associated with phenotype of impaired limb mobility and fluid accumulation. Phenotype of fluid accumulation was significantly associated with IL6 rs1800795, IL4 rs2243250 and IL4 rs2070874. Phenotype of discomfort was significantly associated with VEGF-C rs3775203 and IL13 rs1800925. Precision assessment of heterogeneity of lymphedema phenotype and understanding the biological mechanism of each phenotype through the exploration of inherited genetic susceptibility is essential for finding a cure. Further exploration of investigative intervention in the context of genotype and gene expressions would advance our understanding of heterogeneity of lymphedema phenotype.

DOI: 10.1016/j.breast.2016.06.023
PubMed: 27460425

Affiliations:

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Le document en format XML

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<term>Breast Cancer Lymphedema (genetics)</term>
<term>Breast Neoplasms (genetics)</term>
<term>Breast Neoplasms (metabolism)</term>
<term>Breast Neoplasms (surgery)</term>
<term>Cytokines (analysis)</term>
<term>Female</term>
<term>Genotype</term>
<term>Humans</term>
<term>Mastectomy (adverse effects)</term>
<term>Middle Aged</term>
<term>Phenotype</term>
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<term>Postoperative Complications (genetics)</term>
<term>Prospective Studies</term>
<term>Risk Factors</term>
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<term>Vascular Endothelial Growth Factor C (analysis)</term>
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<term>Adulte d'âge moyen</term>
<term>Bras</term>
<term>Complications postopératoires (génétique)</term>
<term>Complications postopératoires (étiologie)</term>
<term>Cytokines (analyse)</term>
<term>Facteur de croissance endothéliale vasculaire de type C (analyse)</term>
<term>Facteur de croissance endothéliale vasculaire de type D (analyse)</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Génotype</term>
<term>Humains</term>
<term>Lymphoedème après cancer du sein (génétique)</term>
<term>Mastectomie (effets indésirables)</term>
<term>Phénotype</term>
<term>Salive (métabolisme)</term>
<term>Tumeurs du sein ()</term>
<term>Tumeurs du sein (génétique)</term>
<term>Tumeurs du sein (métabolisme)</term>
<term>Études prospectives</term>
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<term>Vascular Endothelial Growth Factor C</term>
<term>Vascular Endothelial Growth Factor D</term>
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<keywords scheme="MESH" qualifier="adverse effects" xml:lang="en"><term>Mastectomy</term>
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<term>Facteur de croissance endothéliale vasculaire de type C</term>
<term>Facteur de croissance endothéliale vasculaire de type D</term>
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<keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Postoperative Complications</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Breast Cancer Lymphedema</term>
<term>Breast Neoplasms</term>
<term>Postoperative Complications</term>
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<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Complications postopératoires</term>
<term>Lymphoedème après cancer du sein</term>
<term>Tumeurs du sein</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Breast Neoplasms</term>
<term>Saliva</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Salive</term>
<term>Tumeurs du sein</term>
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<front><div type="abstract" xml:lang="en">Lymphedema following breast cancer surgery is considered to be mainly due to the mechanical injury from surgery. Recent research identified that inflammation-infection and obesity may be the important predictors for lymphedema. The purpose of this exploratory research was to prospectively examine phenotype of arm lymphedema defined by limb volume and lymphedema symptoms in relation to inflammatory genes in women treated for breast cancer. A prospective, descriptive and repeated-measure design using candidate gene association method was used to enroll 140 women at pre-surgery and followed at 4-8 weeks and 12 months post-surgery. Arm lymphedema was determined by a perometer measurement of ≥5% limb volume increase from baseline of pre-surgery. Lymphedema symptom phenotype was evaluated using a reliable and valid instrument. Saliva samples were collected for DNA extraction. Genes known for inflammation were evaluated, including lymphatic specific growth factors (VEGF-C & VEGF-D), cytokines (IL1-a, IL-4, IL6, IL8, IL10, & IL13), and tumor necrosis factor-a (TNF-a). No significant associations were found between arm lymphedema phenotype and any inflammatory genetic variations. IL1-a rs17561 was marginally associated with symptom count phenotype of ≥8 symptoms. IL-4 rs2070874 was significantly associated with phenotype of impaired limb mobility and fluid accumulation. Phenotype of fluid accumulation was significantly associated with IL6 rs1800795, IL4 rs2243250 and IL4 rs2070874. Phenotype of discomfort was significantly associated with VEGF-C rs3775203 and IL13 rs1800925. Precision assessment of heterogeneity of lymphedema phenotype and understanding the biological mechanism of each phenotype through the exploration of inherited genetic susceptibility is essential for finding a cure. Further exploration of investigative intervention in the context of genotype and gene expressions would advance our understanding of heterogeneity of lymphedema phenotype.</div>
</front>
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<Month>09</Month>
<Day>07</Day>
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<DateCompleted><Year>2017</Year>
<Month>03</Month>
<Day>14</Day>
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<DateRevised><Year>2017</Year>
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<JournalIssue CitedMedium="Internet"><Volume>29</Volume>
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<Month>Oct</Month>
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<Title>Breast (Edinburgh, Scotland)</Title>
<ISOAbbreviation>Breast</ISOAbbreviation>
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<ArticleTitle>Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.</ArticleTitle>
<Pagination><MedlinePgn>231-40</MedlinePgn>
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<Abstract><AbstractText>Lymphedema following breast cancer surgery is considered to be mainly due to the mechanical injury from surgery. Recent research identified that inflammation-infection and obesity may be the important predictors for lymphedema. The purpose of this exploratory research was to prospectively examine phenotype of arm lymphedema defined by limb volume and lymphedema symptoms in relation to inflammatory genes in women treated for breast cancer. A prospective, descriptive and repeated-measure design using candidate gene association method was used to enroll 140 women at pre-surgery and followed at 4-8 weeks and 12 months post-surgery. Arm lymphedema was determined by a perometer measurement of ≥5% limb volume increase from baseline of pre-surgery. Lymphedema symptom phenotype was evaluated using a reliable and valid instrument. Saliva samples were collected for DNA extraction. Genes known for inflammation were evaluated, including lymphatic specific growth factors (VEGF-C & VEGF-D), cytokines (IL1-a, IL-4, IL6, IL8, IL10, & IL13), and tumor necrosis factor-a (TNF-a). No significant associations were found between arm lymphedema phenotype and any inflammatory genetic variations. IL1-a rs17561 was marginally associated with symptom count phenotype of ≥8 symptoms. IL-4 rs2070874 was significantly associated with phenotype of impaired limb mobility and fluid accumulation. Phenotype of fluid accumulation was significantly associated with IL6 rs1800795, IL4 rs2243250 and IL4 rs2070874. Phenotype of discomfort was significantly associated with VEGF-C rs3775203 and IL13 rs1800925. Precision assessment of heterogeneity of lymphedema phenotype and understanding the biological mechanism of each phenotype through the exploration of inherited genetic susceptibility is essential for finding a cure. Further exploration of investigative intervention in the context of genotype and gene expressions would advance our understanding of heterogeneity of lymphedema phenotype.</AbstractText>
<CopyrightInformation>Copyright © 2016 Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fu</LastName>
<ForeName>Mei R</ForeName>
<Initials>MR</Initials>
<AffiliationInfo><Affiliation>NYU Rory Meyers College of Nursing, New York University, New York, NY, USA; NYU Laura and Isaac Perlmutter Cancer Center, New York, NY, USA. Electronic address: mf67@nyu.edu.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Conley</LastName>
<ForeName>Yvette P</ForeName>
<Initials>YP</Initials>
<AffiliationInfo><Affiliation>School of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Axelrod</LastName>
<ForeName>Deborah</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Department of Surgery, New York University School of Medicine, New York, NY, USA; NYU Laura and Isaac Perlmutter Cancer Center, New York, NY, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Guth</LastName>
<ForeName>Amber A</ForeName>
<Initials>AA</Initials>
<AffiliationInfo><Affiliation>Department of Surgery, New York University School of Medicine, New York, NY, USA; NYU Laura and Isaac Perlmutter Cancer Center, New York, NY, USA.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Yu</LastName>
<ForeName>Gary</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>NYU Rory Meyers College of Nursing, New York University, New York, NY, USA.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Fletcher</LastName>
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<Initials>J</Initials>
<AffiliationInfo><Affiliation>NYU Rory Meyers College of Nursing, New York University, New York, NY, USA.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Zagzag</LastName>
<ForeName>David</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Pathology and Neurosurgery, Division of Neuropathology, Microvascular and Molecular Neuro-Oncology Laboratory, NYU Langone Medical Center, New York, NY, USA.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>P60 MD000538</GrantID>
<Acronym>MD</Acronym>
<Agency>NIMHD NIH HHS</Agency>
<Country>United States</Country>
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<Grant><GrantID>R21 NR012288</GrantID>
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<MeshHeading><DescriptorName UI="D000072656" MajorTopicYN="N">Breast Cancer Lymphedema</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
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<QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName>
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<MeshHeading><DescriptorName UI="D011446" MajorTopicYN="N">Prospective Studies</DescriptorName>
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<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cancer</Keyword>
<Keyword MajorTopicYN="N">Genotype</Keyword>
<Keyword MajorTopicYN="N">Lymphedema</Keyword>
<Keyword MajorTopicYN="N">Phenotype</Keyword>
<Keyword MajorTopicYN="N">Risk</Keyword>
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<CoiStatement>The authors declare no conflict of interest.</CoiStatement>
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<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year>
<Month>03</Month>
<Day>14</Day>
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<PubMedPubDate PubStatus="revised"><Year>2016</Year>
<Month>06</Month>
<Day>17</Day>
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<PubMedPubDate PubStatus="accepted"><Year>2016</Year>
<Month>06</Month>
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<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Pennsylvanie</li>
<li>État de New York</li>
</region>
<settlement><li>Pittsburgh</li>
</settlement>
<orgName><li>Université de Pittsburgh</li>
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<tree><country name="États-Unis"><region name="État de New York"><name sortKey="Fu, Mei R" sort="Fu, Mei R" uniqKey="Fu M" first="Mei R" last="Fu">Mei R. Fu</name>
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   |area=    LymphedemaV1
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   |clé=     pubmed:27460425
   |texte=   Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.
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	Serveur d'exploration sur le lymphœdème
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Serveur d'exploration sur le lymphœdème

Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.

Precision assessment of heterogeneity of lymphedema phenotype, genotypes and risk prediction.

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