2021
DOI: 10.1038/s41379-021-00738-5
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Predictors of pathological complete response to neoadjuvant treatment and changes to post-neoadjuvant HER2 status in HER2-positive invasive breast cancer

Abstract: The response of human epidermal growth factor receptor2 (HER2)- positive breast cancer (BC) patients to anti-HER2 targeted therapy is significant. However, the response is not uniform and a proportion of HER2-positive patients do not respond. This study aims to identify predictors of response in the neoadjuvant treatment and to assess the discordance rate of HER2 status between pre- and post-treatment specimens in HER2-positive BC patients. The study group comprised 500 BC patients treated with neoadjuvant che… Show more

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Cited by 61 publications
(65 citation statements)
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“…In the current analysis, it is unsurprising that histopathological and immunohistochemical characteristics such as PgR status, tumour grade and disease burden independently predict breast and axillary pCR, as described in several recent studies [ 15 , [41] , [42] , [43] ]. In their analysis of 2366 breast cancer patients in the Netherlands Cancer Registry treated with NAT, Goorts et al.…”
Section: Discussionmentioning
confidence: 84%
See 1 more Smart Citation
“…In the current analysis, it is unsurprising that histopathological and immunohistochemical characteristics such as PgR status, tumour grade and disease burden independently predict breast and axillary pCR, as described in several recent studies [ 15 , [41] , [42] , [43] ]. In their analysis of 2366 breast cancer patients in the Netherlands Cancer Registry treated with NAT, Goorts et al.…”
Section: Discussionmentioning
confidence: 84%
“…Such results prove promising, moreover while pCR rates of up to 70% have been described in HER2þ disease following NAT prescription [13,14]. In clinical practice, deciphering those likely to achieve such responses proves challenging to the oncologist, although recent evidence from Katayama et al suggests HER2 3þ on immunohistochemistry (IHC) and grade 3 disease accurately predict pCR to anti-HER2 therapies [15]. In spite of these promising data, patient and tumour heterogeneity may limit such conclusions until validated in independent analyses, and the prognostic value of pCR remains uncertain in certain circles.…”
Section: Introductionmentioning
confidence: 99%
“…We applied coherence metrics to cell cycle dynamics in breast cancer tissues overexpressing the HER2 growth factor receptor 69 . HER2 expression de nes one of the major subclasses of breast cancer and is routinely assessed using immunohistochemistry 70 as both the magnitude and heterogeneity of HER2 protein expression predict response to HER2-directed therapy 71,69,72,73 . We performed CyCIF on a cohort of 26 breast cancer specimens (TMA1, TMA2), identi ed MPI +1 epithelial cells and used the ccD-CMD algorithm to quantify IOV and CFD for individual patients (Fig.…”
Section: Cell Cycle Coherence Metrics Derived From Multiplexed Images Of Human Cancermentioning
confidence: 99%
“…Response to neoadjuvant treatment is a source of important information about tumor biology and is one of well evaluated prognostic factors. [7,12]. Based on the evaluation of the surgical specimens for pathologic complete response (pCR), decisions are made to continue the current therapy (trastuzumab +/-pertuzumab) following the surgery or, if the minimal residual disease is found, to switch to trastuzumab-emtansine to optimize long-term outcomes [13][14][15].…”
Section: Introductionmentioning
confidence: 99%