Literature DB >> 26071795

Mammographic breast density: Predictive value for pathological response to neoadjuvant chemotherapy in breast cancer patients.

S Elsamany1, A Alzahrani2, W N Abozeed3, A Rasmy4, M U Farooq5, M A Elbiomy6, E Rawah7, K Alsaleh8, N M Abdel-Aziz9.   

Abstract

BACKGROUND: This study aims to evaluate the relation between mammographic breast density (BD) and pathological response to neoadjuvant chemotherapy.
METHODS: In this retrospective study, 241 breast cancer patients who received neoadjuvant chemotherapy were included. BD was assessed in mammograms already performed at diagnosis. Pathological complete response (pCR) and pathological stage were correlated with BD, tumour phenotype and other clinico-pathological factors.
RESULTS: Patients with low BD had better pCR compared to those with high density (30.5% vs 19.5% respectively, OR = 1.8, 95% CI = 0.98-3.3, p = 0.056) which was more pronounced after adjustment with body mass index (BMI) (OR = 2.4, 95% CI = 1.2-4.8, p = 0.011). HER2-positive disease (32.5% vs. 18.4%, OR = 2.2, 95% = 1.2-4.0, p = 0.01), lower BMI (OR = 1.1, 95% CI = 1.03-1.15, p = 0.004) and lower clinical stage (p = 0.002) were significant predictors of pCR in univariate analysis. In multivariate analysis, low BD (OR = 2.7, 95% CI = 1.3-5.5, p = 0.006) and lower BMI (OR = 1.1, 95% CI = 1.03-1.17, p = 0.003) were independent predictors of better pCR, while early clinical stage (I, II) was of borderline significance (OR = 2.6, 95% CI = 0.99-6.7, p = 0.052). High BD (OR = 1.8, 95% CI = 1.1-3.2, p = 0.03), advanced clinical stage (III) (OR = 1.5, 95% CI = 1.03-2.1, p = 0.03) and higher BMI (OR = 1.06, 95% CI = 1.02-1.11, p = 0.006) were significant predictors of advanced pathological stage.
CONCLUSION: Low mammographic BD, low BMI and early clinical stage were associated with improved pCR rate and lower pathological stage after neoadjuvant chemotherapy. BD had more pronounced association with response to chemotherapy after adjustment with BMI.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast density; Mammogram; Neoadjuvant chemotherapy; Pathological response

Mesh:

Substances:

Year:  2015        PMID: 26071795     DOI: 10.1016/j.breast.2015.05.007

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  10 in total

Review 1.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

2.  Impact of body mass index on pathological complete response following neoadjuvant chemotherapy in operable breast cancer: a meta-analysis.

Authors:  Haiyun Wang; Shijia Zhang; Douglas Yee; Saonli Basu; Heather Beckwith; David Potter; Anne Blaes
Journal:  Breast Cancer       Date:  2021-01-02       Impact factor: 4.239

3.  Impact of race, ethnicity, and BMI on achievement of pathologic complete response following neoadjuvant chemotherapy for breast cancer: a pooled analysis of four prospective Alliance clinical trials (A151426).

Authors:  Erica T Warner; Karla V Ballman; Carrie Strand; Judy C Boughey; Aman U Buzdar; Lisa A Carey; William M Sikov; Ann H Partridge
Journal:  Breast Cancer Res Treat       Date:  2016-07-22       Impact factor: 4.872

4.  Mammographic density changes during neoadjuvant breast cancer treatment: NeoDense, a prospective study in Sweden.

Authors:  Ida Skarping; Daniel Förnvik; Uffe Heide-Jørgensen; Hanna Sartor; Per Hall; Sophia Zackrisson; Signe Borgquist
Journal:  Breast       Date:  2020-06-04       Impact factor: 4.380

5.  Mammographic density as an image-based biomarker of therapy response in neoadjuvant-treated breast cancer patients.

Authors:  Ida Skarping; Daniel Förnvik; Uffe Heide-Jørgensen; Hanna Sartor; Per Hall; Sophia Zackrisson; Signe Borgquist
Journal:  Cancer Causes Control       Date:  2020-12-30       Impact factor: 2.506

Review 6.  Mechanical Pressure Driving Proteoglycan Expression in Mammographic Density: a Self-perpetuating Cycle?

Authors:  Gina Reye; Xuan Huang; Larisa M Haupt; Ryan J Murphy; Jason J Northey; Erik W Thompson; Konstantin I Momot; Honor J Hugo
Journal:  J Mammary Gland Biol Neoplasia       Date:  2021-08-27       Impact factor: 2.673

7.  Heparanase Promotes Syndecan-1 Expression to Mediate Fibrillar Collagen and Mammographic Density in Human Breast Tissue Cultured ex vivo.

Authors:  Xuan Huang; Gina Reye; Konstantin I Momot; Tony Blick; Thomas Lloyd; Wayne D Tilley; Theresa E Hickey; Cameron E Snell; Rachel K Okolicsanyi; Larisa M Haupt; Vito Ferro; Erik W Thompson; Honor J Hugo
Journal:  Front Cell Dev Biol       Date:  2020-07-14

Review 8.  Predicting the response to neoadjuvant therapy for early-stage breast cancer: tumor-, blood-, and imaging-related biomarkers.

Authors:  Wenyong Tan; Ming Yang; Hongli Yang; Fangbin Zhou; Weixi Shen
Journal:  Cancer Manag Res       Date:  2018-10-09       Impact factor: 3.989

9.  Mammographic density is a potential predictive marker of pathological response after neoadjuvant chemotherapy in breast cancer.

Authors:  Ida Skarping; Daniel Förnvik; Hanna Sartor; Uffe Heide-Jørgensen; Sophia Zackrisson; Signe Borgquist
Journal:  BMC Cancer       Date:  2019-12-30       Impact factor: 4.430

10.  Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer.

Authors:  Signe Borgquist; Lisa Rydén; Ida Skarping; Daniel Förnvik; Sophia Zackrisson
Journal:  Breast Cancer Res Treat       Date:  2021-06-12       Impact factor: 4.872

  10 in total

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