Evidence map›Paper›PMID 39010116›Full record

ArticleBreast cancer research : BCR2024

Associations between quantitative measures of mammographic density and terminal ductal lobular unit involution in Chinese breast cancer patients.

Waruiru Mburu, Changyuan Guo, Yuan Tian, Hela Koka, Sheng Fu, Ning Lu, Erni Li, Jing Li, Renata Cora, Ariane Chan and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

Waruiru MburuDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Changyuan GuoNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yuan TianNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Hela KokaDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Sheng FuDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Ning LuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Erni LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jing LiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Renata CoraDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Ariane ChanVolpara Health Technologies Ltd, Wellington, New Zealand.
Jennifer L GuidaDivision of Cancer Control and Population Sciences, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Hyuna SungSurveillance and Health Equity Science, American Cancer Society, Atlanta, GA, 30303, USA.
Gretchen L GierachDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Kai YuDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA.
Xiaohong R YangDivision of Cancer Epidemiology and Genetics, DHHS, National Cancer Institute, NIH, 9609 Medical Center Drive, Bethesda, MD, 20892-9761, USA. royang@mail.nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigher mammographic density (MD), a radiological measure of the proportion of fibroglandular tissue in the breast, and lower terminal duct lobular unit (TDLU) involution, a histological measure of the amount of epithelial tissue in the breast, are independent breast cancer risk factors. Previous studies among predominantly white women have associated reduced TDLU involution with higher MD.

methodsIn this cohort of 611 invasive breast cancer patients (ages 23-91 years [58.4% ≥ 50 years]) from China, where breast cancer incidence rates are lower and the prevalence of dense breasts is higher compared with Western countries, we examined the associations between TDLU involution assessed in tumor-adjacent normal breast tissue and quantitative MD assessed in the contralateral breast obtained from the VolparaDensity software. Associations were estimated using generalized linear models with MD measures as the outcome variables (log-transformed), TDLU measures as explanatory variables (categorized into quartiles or tertiles), and adjusted for age, body mass index, parity, age at menarche and breast cancer subtype.

resultsWe found that, among all women, percent dense volume (PDV) was positively associated with TDLU count (highest tertile vs. zero: Exp

conclusionsOur findings based on quantitative MD and TDLU involution measures among Chinese breast cancer patients are largely consistent with those reported in Western populations and may provide additional insights into the complexity of the relationship, which varies by age, and possibly breast cancer subtype.

Indexed as

Breast DensityBreast NeoplasmsMammographyAdultAgedAged, 80 and overBreastChinaEast Asian PeopleFemaleHumansMammary Glands, HumanMiddle AgedRisk FactorsYoung AdultChinese breast cancer patientsMammographic densityTDLU involutionVolpara

Identifiers

PMID39010116
PMCPMC11247848

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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.