Evidence map›Paper›PMID 22351697›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2012

Connexin 47 mutations increase risk for secondary lymphedema following breast cancer treatment.

David N Finegold, Catherine J Baty, Kelly Z Knickelbein, Shelley Perschke, Sarah E Noon, Diana Campbell, Jenny M Karlsson, Diana Huang, Mark A Kimak, Elizabeth C Lawrence and 4 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Description of Phenotypic Heterogeneity in aMolecular syndromology · 2023
    Article
  10. Review
  11. Lymphatic Clearance and Pump Function.Cold Spring Harbor perspectives in medicine · 2023
    Review
  12. Article
  13. BiallelicJournal of medical genetics · 2023
    Article
  14. Review
  15. Secondary lymphedema from cancer therapy.Clinical & experimental metastasis · 2022
    Review
  16. Review
  17. Article
  18. Lymphatic Connexins and Pannexins in Health and Disease.International journal of molecular sciences · 2021
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

David N FinegoldDepartment of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261, USA.
Catherine J Baty
Kelly Z Knickelbein
Shelley Perschke
Sarah E Noon
Diana Campbell
Jenny M Karlsson
Diana Huang
Mark A Kimak
Elizabeth C Lawrence
Eleanor Feingold
Stephen D Meriney
Adam M Brufsky
Robert E Ferrell
University of Pittsburgh · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
HGF and MET Mutations in Primary LymphademaR01HL092866 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BATY, CATHERINE J, FERRELL, ROBERT EDWARD · 2009 to 2010
$1.5M
GENETIC STUDIES OF LYMPHEDEMAR01HD037243 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FINEGOLD, DAVID N · 2000 to 2002
$1.1M
NCRR NIH HHS UL1 RR024153NHLBI NIH HHS HL092866NHLBI NIH HHS R01 HL092866NICHD NIH HHS R01 HD037243
6 · The paper itself

Abstract

purposeSecondary lymphedema is a frequent complication of breast cancer associated with surgery, chemotherapy, or radiation following breast cancer treatment. The potential contribution of genetic susceptibility to risk of developing secondary lymphedema following surgical trauma, radiation, and other tissue insults has not been studied. EXPERIMENTAL

designTo determine whether women with breast cancer and secondary lymphedema had mutations in candidate lymphedema genes, we undertook a case-control study of 188 women diagnosed with breast cancer recruited from the University of Pittsburgh Breast Cancer Program (http://www.upmccancercenter.com/breast/index.cfm) between 2000 and 2010. Candidate lymphedema genes, GJC2 (encoding connexin 47 [Cx47]), FOXC2, HGF, MET, and FLT4 (encoding VEGFR3), were sequenced for mutation. Bioinformatics analysis and in vitro functional assays were used to confirm significance of novel mutations.

resultsCx47 mutations were identified in individuals having secondary lymphedema following breast cancer treatment but not in breast cancer controls or normal women without breast cancer. These novel mutations are dysfunctional as assessed through in vitro assays and bioinformatics analysis and provide evidence that altered gap junction function leads to lymphedema.

conclusionsOur findings challenge the view that secondary lymphedema is solely due to mechanical trauma and support the hypothesis that genetic susceptibility is an important risk factor for secondary lymphedema. A priori recognition of genetic risk (i) raises the potential for early detection and intervention for a high-risk group and (ii) allows the possibility of altering surgical approach and/or chemo- and radiation therapy, or direct medical treatment of secondary lymphedema with novel connexin-modifying drugs.

Indexed as

AdultAgedAged, 80 and overBase SequenceBreast NeoplasmsCase-Control StudiesCell Line, TumorConnexinsFemaleGenetic Predisposition to DiseaseHeLa CellsHumansLymphedemaMiddle AgedRisk FactorsSequence Analysis, DNAconnexin 47Connexins

Identifiers

PMID22351697
PMCPMC3625665
OpenAlexW2113750989

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.