Evidence map›Paper›PMID 30497427›Full record

ArticleBMC cancer2018

Mammographic density and breast tissue expression of inflammatory markers, growth factors, and vimentin.

Gertraud Maskarinec, Dan Ju, Jaimie Fong, David Horio, Owen Chan, Lenora W M Loo, Brenda Y Hernandez

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Mammographic radiomics and breast density for predicting PD-L1 expression in breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  2. Review
  3. Article
  4. Comparison ofMolecular imaging and biology · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

Gertraud MaskarinecUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA. gertraud@cc.hawaii.edu.ORCID http://orcid.org/0000-0002-8129-958X
Dan JuUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Jaimie FongUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
David HorioUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Owen ChanUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Lenora W M LooUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.
Brenda Y HernandezUniversity of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, HI, 96813, USA.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
NESTED CASE CONTROL STUDY OF MAMMOGRAPHIC DENSITYR01CA085265 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI MASKARINEC, GERTRAUD · 2000 to 2002
$728k
NCI NIH HHS HHSN261201300009CNCI NIH HHS HHSN261201300009INCI NIH HHS P30 CA071789NCI NIH HHS P30CA071789NCI NIH HHS R01 CA085265NCI NIH HHS R01CA85265NCI NIH HHS R21CA1080250NCI NIH HHS U01 CA164973NCI NIH HHS U01CA164973
6 · The paper itself

Abstract

backgroundMammographic density is a known risk factor for breast cancer, but the underlying pathologic characteristics are not well understood. The current analysis investigated the expression of several markers of interest, e.g., inflammation and growth, with mammographic density (MD) in normal and malignant breast tissue specimens from 279 women of the Multiethnic Cohort (MEC).

methodsBreast cancer cases, recruited from a nested case-control study within the MEC, provided mammograms for density evaluation. Protein expression (COX-2, TNF-α, TGF-β, IGF-1R, IGFBP-2, and vimentin) was assessed by immunohistochemical detection. Linear regression was applied to evaluate the relation between marker expression and percent density and to compute adjusted means with 95% confidence intervals (CI) by marker status while adjusting for confounders.

resultsDue to missing cores and tissue, normal tissue could only be evaluated for COX-2 and vimentin. No significant associations with mammographic density were detected for all markers analyzed. For inflammatory markers (TNF-α, COX-2, and TGF-β) in tumor tissue, MD were non-significantly higher with stronger expression but the differences were very small. For example, the mean MD values for no, weak, and strong TNF-α expression were 35% (95% CI 24-47%), 39% (95% CI 29-48%), and 38% (95% CI 27-50%). In a posthoc analysis among postmenopausal women only, the difference across categories of TNF-α expression increased to 25% (95% CI 12-39%), 35% (95% CI 23-48%), and 35% (95% CI 20-49%).

conclusionsThe current analysis offers little support for an involvement of immunohistochemical markers representing inflammatory and growth factor pathways as predictors of breast density.

Indexed as

Breast DensityGene ExpressionAdultAgedBiomarkersCase-Control StudiesFemaleHumansImmunohistochemistryInflammation MediatorsIntercellular Signaling Peptides and ProteinsMammary Glands, HumanMammographyMiddle AgedVimentinBiomarkersInflammation MediatorsIntercellular Signaling Peptides and ProteinsVimentinBreast tissueImmunohistochemistryMammographic densityTissue microarray

Identifiers

PMID30497427
PMCPMC6267911

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.