Literature DB >> 31556559

Association of breast cancer grade with response to neoadjuvant chemotherapy assessed postoperatively.

Michał Jarząb1, Ewa Stobiecka1, Agnieszka Badora-Rybicka1, Ewa Chmielik1, Małgorzata Kowalska1, Wiesław Bal1, Anna Polakiewicz-Gilowska1, Barbara Bobek-Billewicz1, Dariusz Lange1, Rafał Tarnawski1.   

Abstract

Currently, breast cancer chemotherapy response can be predicted based on various parameters, with common reporting of tumour grade and Ki67 proliferation index. We analysed their association with pathological complete response (pCR) in a multivariate approach. The study was carried out in a group of 353 patients, treated by preoperative chemotherapy and prospectively observed. In selected patients, parallel to routing core needle biopsy assessment, gene expression profile of tumour was analysed by oligonucleotide microarrays. Tumour parameters associated with pCR in univariate analysis were: tumour grade, nuclear grade, mitotic index, Ki67, oestrogen and progesterone receptor (all p < 0.0001), and triple-negative status (p = 0.0032). The highest increase of pCR chance was observed in patients with high-grade tumours and with Ki67 ≥ 20%. In multivariate analysis, only tumour grade and oestrogen receptor status were predictive for pCR independently of other variables, with high grade increasing the odds of pCR 2.42 fold, and high ER decreasing the chance of pCR 0.41 fold. Tumour grading reflects important biological features of breast cancer and is not inferior to proliferation markers, including Ki67. It should be taken into account in decision-making for preoperative chemotherapy in parallel to breast cancer biologic subtypes, because grade 3 tumours exhibit a higher proportion of pCR.

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Keywords:  grading; preoperative chemotherapy; breast cancer

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Year:  2019        PMID: 31556559     DOI: 10.5114/pjp.2019.87101

Source DB:  PubMed          Journal:  Pol J Pathol        ISSN: 1233-9687            Impact factor:   1.072


  2 in total

1.  A comparison of Chinese multicenter breast cancer database and SEER database.

Authors:  Yingjie Niu; Fan Zhang; Dong Chen; Guolin Ye; Yong Li; Yong Zha; Wenlin Chen; Dequan Liu; Xiaoming Liao; Qinghua Huang; Wei Tang; Gengxi Cai; Rong Guo; Hongyang Li; Shicong Tang
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

2.  The Impact of Tumor Infiltrating Lymphocytes Densities and Ki67 Index on Residual Breast Cancer Burden following Neoadjuvant Chemotherapy.

Authors:  Aya Elmahs; Ghada Mohamed; Mostafa Salem; Dina Omar; Amany Mohamed Helal; Nahed Soliman
Journal:  Int J Breast Cancer       Date:  2022-09-12
  2 in total

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