Plasma C-peptide mammographic features and risk of breast cancer.

IF 6.5 2区医学 Q1 ONCOLOGY

NPJ Breast Cancer Pub Date : 2024-10-17 DOI:10.1038/s41523-024-00702-x

Shadi Azam, Cheng Peng, Bernard A Rosner, Marcus D Goncalves, Erica Phillips, Heather Eliassen, John Heine, Susan E Hankinson, Rulla M Tamimi

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引用次数: 0

Abstract

Our study in the Nurses' Health Study (NHS) and NHS2, a nested case-control study with 1260 cases and 2221 controls, investigated the association between C-peptide levels, mammographic density (MD) parameters, V (a measure of gray scale variation), and breast cancer (BC) risk. We also examined how C-peptide and BC risk vary across quartiles of mammographic features. Linear and logistic regressions were used to study the associations between C-peptide and MD parameters, and breast cancer. C-peptide was inversely associated with percent MD and positively with non-dense area, but no associations were found with dense area and V measure. C-peptide was associated with an increased risk of invasive BC risk (top vs. bottom quartile, odds ratio = 1.46, 95% CI: 1.12-1.91). No multiplicative interactions were found between C-peptide, MD parameters, and BC risk. Our results suggest a positive association between C-peptide and BC risk, and MD parameters do not seem to modify this association.

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血浆 C 肽乳房 X 线摄影特征与乳腺癌风险。

我们在护士健康研究（NHS）和 NHS2（一项有 1260 例病例和 2221 例对照的嵌套病例对照研究）中进行的研究调查了 C 肽水平、乳腺 X 线照片密度 (MD) 参数、V（一种灰度变化量度）和乳腺癌 (BC) 风险之间的关系。我们还研究了C肽与乳腺癌风险在乳腺X线摄影特征的四分位数之间的差异。线性回归和逻辑回归用于研究 C 肽和 MD 参数与乳腺癌之间的关系。C肽与MD百分比成反比，与非致密区成正比，但与致密区和V值没有关联。C肽与浸润性乳腺癌风险增加有关（上四分位数与下四分位数，几率比=1.46，95% CI：1.12-1.91）。在 C 肽、MD 参数和 BC 风险之间没有发现乘法交互作用。我们的研究结果表明，C肽与乳腺癌风险之间存在正相关，而MD参数似乎不会改变这种相关性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Breast Cancer Medicine-Pharmacology (medical)

CiteScore

10.10

自引率

1.70%

发文量

122

审稿时长

9 weeks

期刊介绍： npj Breast Cancer publishes original research articles, reviews, brief correspondence, meeting reports, editorial summaries and hypothesis generating observations which could be unexplained or preliminary findings from experiments, novel ideas, or the framing of new questions that need to be solved. Featured topics of the journal include imaging, immunotherapy, molecular classification of disease, mechanism-based therapies largely targeting signal transduction pathways, carcinogenesis including hereditary susceptibility and molecular epidemiology, survivorship issues including long-term toxicities of treatment and secondary neoplasm occurrence, the biophysics of cancer, mechanisms of metastasis and their perturbation, and studies of the tumor microenvironment.