Evidence map›Paper›PMID 27107568›Full record

ReviewBreast cancer research and treatment2016

Potential of breastmilk analysis to inform early events in breast carcinogenesis: rationale and considerations.

Jeanne Murphy, Mark E Sherman, Eva P Browne, Ana I Caballero, Elizabeth C Punska, Ruth M Pfeiffer, Hannah P Yang, Maxwell Lee, Howard Yang, Gretchen L Gierach and 1 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Breast cancer research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01736306 (Epigenetics and Breast Cancer Risk in African American Women), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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.

NCT01736306 completednot on this map

Epigenetics and Breast Cancer Risk in African American Women

TypeobservationalSponsorNational Cancer Institute (NCI)Ran2012 to 2020Enrolled260ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  5. Article
  6. Human Milk Glucose, Leptin, and Insulin Predict Cessation of Full Breastfeeding and Initiation of Formula Use.Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. 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

11 authors.

Jeanne MurphyCancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA. jeanne.murphy@nih.gov.
Mark E ShermanDivision of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.
Eva P BrowneDepartment of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Ana I CaballeroDepartment of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Elizabeth C PunskaDepartment of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Hannah P YangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Maxwell LeeCenter for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Howard YangCenter for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
Gretchen L GierachDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Kathleen F ArcaroDepartment of Veterinary and Animal Sciences, University of Massachusetts Amherst, Amherst, MA, USA.

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

This review summarizes methods related to the study of human breastmilk in etiologic and biomarkers research. Despite the importance of reproductive factors in breast carcinogenesis, factors that act early in life are difficult to study because young women rarely require breast imaging or biopsy, and analysis of critical circulating factors (e.g., hormones) is often complicated by the requirement to accurately account for menstrual cycle date. Accordingly, novel approaches are needed to understand how events such as pregnancy, breastfeeding, weaning, and post-weaning breast remodeling influence breast cancer risk. Analysis of breastmilk offers opportunities to understand mechanisms related to carcinogenesis in the breast, and to identify risk markers that may inform efforts to identify high-risk women early in the carcinogenic process. In addition, analysis of breastmilk could have value in early detection or diagnosis of breast cancer. In this article, we describe the potential for using breastmilk to characterize the microenvironment of the lactating breast with the goal of advancing research on risk assessment, prevention, and detection of breast cancer.

Indexed as

Breast FeedingBreast NeoplasmsEarly Detection of CancerFemaleHumansLactationMilk, HumanPregnancyRisk FactorsSpecimen HandlingWeaningBiomarkersBreast cancerHuman breastmilkMethodsPrevention

Identifiers

PMID27107568
PMCPMC5158017

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.