Evidence map›Paper›PMID 27460425›Full record

ArticleBreast (Edinburgh, Scotland)2016

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

Mei R Fu, Yvette P Conley, Deborah Axelrod, Amber A Guth, Gary Yu, Jason Fletcher, David Zagzag

Open access · hybridAbstract read
In one paragraph

Article in Breast (Edinburgh, Scotland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Understanding the Lymphatic System: Tissue-on-Chip Modeling.Annual review of biomedical engineering · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Evaluating telehealth for the education and monitoring of lymphoedema and shoulder dysfunction after breast cancer surgery.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  15. Lymphatic Pain in Breast Cancer Survivors.Lymphatic research and biology · 2022
    Article
  16. Secondary lymphedema from cancer therapy.Clinical & experimental metastasis · 2022
    Review
  17. Article
  18. Article
  19. Article
  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

7 authors at 3 institutions in 1 country.

Mei R FuNYU 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.
Yvette P ConleySchool of Nursing, University of Pittsburgh, Pittsburgh, PA, USA.
Deborah AxelrodDepartment of Surgery, New York University School of Medicine, New York, NY, USA; NYU Laura and Isaac Perlmutter Cancer Center, New York, NY, USA.
Amber A GuthDepartment of Surgery, New York University School of Medicine, New York, NY, USA; NYU Laura and Isaac Perlmutter Cancer Center, New York, NY, USA.
Gary YuNYU Rory Meyers College of Nursing, New York University, New York, NY, USA.
Jason FletcherNYU Rory Meyers College of Nursing, New York University, New York, NY, USA.
David ZagzagPathology and Neurosurgery, Division of Neuropathology, Microvascular and Molecular Neuro-Oncology Laboratory, NYU Langone Medical Center, New York, NY, USA.
NYU Langone Health · USNew York University · USUniversity of Pittsburgh · US

Funding

Research Training and Education CoreP60MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2003 to 2017
$21.2M
Proinflammatory Biomarkers and Post-Breast CancerLymphedemaR21NR012288 · NINR · NEW YORK UNIVERSITY · PI FU, MEI ROSEMARY · 2011 to 2012
$452k
NIMHD NIH HHS P60 MD000538NINR NIH HHS R21 NR012288
6 · The paper itself

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.

Indexed as

AdultArmBreast Cancer LymphedemaBreast NeoplasmsCytokinesFemaleGenotypeHumansMastectomyMiddle AgedPhenotypePostoperative ComplicationsProspective StudiesRisk FactorsSalivaVascular Endothelial Growth Factor CCytokinesVascular Endothelial Growth Factor CVascular Endothelial Growth Factor DVEGFD protein, humanCancerGenotypeLymphedemaPhenotypeRiskSymptoms

Identifiers

PMID27460425
PMCPMC5014618
OpenAlexW2476050074

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.