Evidence map›Paper›PMID 28166807›Full record

ArticleBreast cancer research : BCR2017

Non-invasive optical spectroscopic monitoring of breast development during puberty.

Lothar Lilge, Mary Beth Terry, Jane Walter, Dushanthi Pinnaduwage, Gord Glendon, Danielle Hanna, Mai-Liis Tammemagi, Angela Bradbury, Saundra Buys, Mary Daly and 3 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Consistency, now what?Breast cancer research : BCR · 2017
    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

13 authors at 8 institutions in 2 countries.

Lothar LilgePrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON, M5G1L7, Canada.
Mary Beth TerryDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Jane WalterMedical Biophysics, University of Toronto, 101 College Street, Toronto, ON, M5G1L7, Canada.
Dushanthi PinnaduwageLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, M5G 1X5, Canada.
Gord GlendonLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, M5G 1X5, Canada.
Danielle HannaLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, M5G 1X5, Canada.
Mai-Liis TammemagiLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, M5G 1X5, Canada.
Angela BradburyDepartments of Medicine and Medical Ethics & Health Policy, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, PA, USA.
Saundra BuysDepartment of Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Mary DalyDepartment of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA.
Esther M JohnCancer Prevention Institute of California, Fremont, CA, USA.
Julia A KnightLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, M5G 1X5, Canada.
Irene L AndrulisLunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, M5G 1X5, Canada. andrulis@lunenfeld.ca.
Lunenfeld-Tanenbaum Research Institute · CAUniversity of Toronto · CACancer Prevention Institute of California · USColumbia University Irving Medical Center · USFox Chase Cancer Center · USUniversity Health Network · CAUniversity of Pennsylvania · USUniversity of Utah · US

Funding

Pregnancy and Prenatal PAHs and other Environmental Exposures and Breast CancerU01ES026122 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MILLER, RACHEL L, TERRY, MARY BETH · 2015 to 2019
$4.5M
LEGACY: A Cohort of Youth in Families from the Breast Cancer Family RegistryR01CA138638 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI JOHN, ESTHER M. · 2011 to 2015
$3.6M
LEGACY: A Cohort of Youth in Families from the Breast Cancer Family RegistryR01CA138819 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI BRADBURY, ANGELA R., DALY, MARY BERYL · 2011 to 2015
$3.3M
LEGACY: A cohort of youth in families from the Breast Cancer Family RegistryR01CA138822 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TERRY, MARY BETH · 2011 to 2015
$3.0M
LEGACY: A cohort of youth in families from the Breast Cancer Family RegistryR01CA138844 · NCI · SINAI HEALTH SYSTEM · PI ANDRULIS, IRENE · 2011 to 2015
$1.8M
NCI NIH HHS R01 CA138638NCI NIH HHS R01 CA138819NCI NIH HHS R01 CA138822NCI NIH HHS R01 CA138844NIEHS NIH HHS U01 ES026122
6 · The paper itself

Abstract

backgroundTanner staging (TS), a five-stage classification indicating no breast tissue (TS1) to full breast development (TS5), is used both in health research and clinical care to assess the onset of breast development (TS2) and duration in each stage. Currently, TS is measured both visually and through palpation but non-invasive methods will improve comparisons across settings.

methodsWe used optical spectroscopy (OS) measures from 102 girls at the Ontario site of the LEGACY girls study (average age 12 years, range 10.0-15.4 years) to determine whether breast tissue optical properties map to each TS. We further examined whether these properties differed by age, body mass index (BMI), and breast cancer risk score (BCRS) by examining the major principal components (PC).

resultsAge and BMI increased linearly with increasing TS. Eight PCs explained 99.9% of the variation in OS data. Unlike the linear increase with age and BMI, OS components had distinct patterns by TS: the onset of breast development (TS1 to TS2) was marked by elevation of PC3 scores indicating an increase in adipose tissue and decrease in signal from the pectoral muscle; transition to TS3 was marked by elevation of PC6 and PC7 and decline of PC2 scores indicating an increase in glandular or dense tissue; and transition to TS4+ by decline of PC2 scores representing a further increase in glandular tissue relative to adipose tissue. Of the eight PCs, three component scores (PC4, PC5, and PC8) remained in the best-fitting model of BCRS, suggesting different levels of collagen in the breast tissue by BCRS.

conclusionsOur results suggest that serial measures of OS, a non-invasive assessment of breast tissue characteristics, can be used as an objective outcome that does not rely on visual inspection or palpation, for studying drivers of breast development.

Indexed as

Optical ImagingPubertySexual MaturationSpectrum AnalysisAdolescentBody Mass IndexBreastBreast NeoplasmsChildFemaleHumansOntarioPopulation SurveillanceROC CurveBreast cancer family historyBreast developmentLEGACY girls studyOptical spectroscopyTanner staging

Identifiers

PMID28166807
PMCPMC5294901
OpenAlexW2587152552

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.