Predictive factors associated with a pathologic complete response in a Mexican HER2+ breast cancer population.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12630-e12630
Author(s):  
Raul Alejandro Andrade Moreno ◽  
José Fabián Martínez-Herrera ◽  
Geovani Amador ◽  
Raquel Gerson Cwilich ◽  
Juan Alberto Serrano ◽  
...  

e12630 Background: The current standard of treatment for locally advanced and early HER2+ breast cancer is the use of neoadjuvant chemotherapy (NAC) in combination with trastuzumab and pertuzumab. Mexican reports about its efficacy and predictive factors leading to pathological complete response (pCR) are scarce and few statistics are known. Methods: We performed a retrospective review of medical records of locally advanced and early HER2+ breast cancer patients who were treated with NAC in association with pertuzumab and trastuzumab. pCR was defined as the absence of residual invasive cancer cells in the breast and lymph nodes (ypT0/ypN0). Other histopathological features included Tumor type, estrogen, and progesterone receptor expression, HER2 status and Ki67. Clinical data included age, body mass index and number of metastatic nodes. Results: Thirty-five patients with early or locally advanced HER2+ breast cancer diagnosed and treated in a Comprehensive Cancer Center between January 2014 to June 2020 were included. The median age in the population was 47 years (range 28-79) with 20 patients under 50 years (57% of the total population). 40% of the patients were classified as overweight or obese at the time of diagnosis. The predominant histology was infiltrating ductal carcinoma (91%). The most frequent clinical stages were IIA, (34.2%) IIB (31.4%) and IIIA (22.8%). The population included patients with N0 (21.7%), N1 (56.5%), N2 (13%) and N3 (8.7%). Most tumors were larger than 2 centimeters at the time of diagnosis. T1 (17.4%), T2 (60.9%), T3 (17.4%) and T4 (4.3%). Most of the patients (77%) had a high proliferation index (Ki67 > 20). A total of 12 patients (34.3%) were hormone receptor (HR) negative and the rest (65.7%) were categorized as Triple Positive. The chemotherapy schemes used for NAC treatment were AC/THP (57.5%), THP (22.8%), TCHP (17.1%) and FEC/THP (2.7%) pCR was achieved in 60% of the patients. Patients with HR (-) achieved a pCR in 83% of the cases (10/12 patients) against 47.8% (11/23 patients) of the triple positive population. The Odds ratio (OR) for residual disease was 6.6 (95%CI 1.17-37.02) in the HR+ population. HR-/HER2+ tumors (p = 0.49) were independent predictors of pCR at multivariate logistic regression. No other variables including Ki67, BMI, age, tumor size, type of chemotherapy administered, and lymph node status were statistically significant. Conclusions: In this Mexican population there is a significant difference between the percentage of patients who achieve pCR in relation to the status of hormone receptors, favoring those patients with hormone receptor negative tumors. Nevertheless, most of the population achieves this benefit regardless of their hormone status, as HER2+ tumors showed sensitivity to chemotherapy and to the humanized anti-HER2 therapies. No other clinical or pathological variables were associated with pCR.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e11534-e11534
Author(s):  
Fatma Sen ◽  
Ekrem Yavuz ◽  
Gulcin Yegen ◽  
Hasan Karanlik ◽  
Sitki Tuzlali ◽  
...  

e11534 Background: Our aim was to investigate potential correlation between expression levels of Nijmegen breakage syndrome1 (NBS1) protein and phosphatidylinositol-3 kinase (PI3K) and pathologic complete response (pCR) rate to neoadjuvant treatment in locally advanced HER2+ breast cancer. We also assess possible association between NBS1 and PI3K expressions. Methods: Totally 42 patients (median age 49 years), received neoadjuvant treatment due to locally advanced HER2+ breast cancer, were included. Immunohistochemical analyses were performed on paraffin sections, obtained during initial diagnosis. Paraffin sections were stained with anti-NBS1 (P95-NBS1 antibody, Y112, ab32074) and anti-PI3K (PI3-Kinase p85 alpha+gamma antibody, ab741369) antibodies to determine positivity of related proteins. Results: NBS1 protein loss was detected in 19 (%45) patients whereas p85 loss was shown in 25 (%60). There was no initial clinicopathologic variable predicting pCR. Fifteen of 30 patients, received neoadjuvant trastuzumab, had pCR, whereas only 1 of 12 patients, not received trastuzumab, achieved pCR (P = 0.012). p85 loss did not predict treatment response, however NBS1 protein expression positively correlated with increased response rate to neoadjuvant treatment (P = 0.007). Conclusions: NBS1 protein expression associates with increased pCR rate in HER2+ breast cancer. However, P85 positivity did not associate with pCR rate or NBS1 overexpression.


2021 ◽  
Vol 10 (8) ◽  
pp. 536-540
Author(s):  
Arshi Khan ◽  
Reeni Malik ◽  
Pramila Jain ◽  
Deepshikha Verma ◽  
Vedanti Newasker

BACKGROUND Understanding various risk factors associated with breast cancer can help in early identification & prompt treatment of patients with breast cancer. Apart from clinical parameters like age, disease presentation and menopausal status, important prognostic indicators in histopathology are size and extent of tumour, histologic type,histologic grade and lymph node status. Also, there are other factors which are not only predictive of outcome, but also direct therapies against particular molecular targets. These factors are oestrogen receptor (ER) status, progesterone receptor (PR) status, HER2 / neu status, Ki-67 proliferation index & androgen receptor (AR) status. We wanted to analyse various hormone receptors & their correlation with prognostic factors. In addition, androgen receptor expression is also studied in triple negative breast cancer cases. METHODS The study included 50 cases over a period of 18 months from January 2018 to June 2019 received in the Department of Pathology, Gandhi Medical College, Bhopal, India. These cases were subjected to histopathological & immunohistochemistry (IHC) evaluation. RESULTS Among the 50 cases studied, the most common subtype was infiltrating ductal carcinoma (NOS - no special type, 84 %). Majority of patients were ER, PR, HER2 / neu negative (48 %) and among those triple negative cases, 25 % of cases were androgen receptor positive. CONCLUSIONS Expression of the hormone receptor (ER and PR) and HER2 status may provide significant information in directing patient management. Since traditional pathological methods and IHC remain standard for guiding the use of treatment, clinicians may be challenged with equivocal results that directs towards additional testing for definitive diagnosis and, better patient outcome. The most used therapy for advanced breast cancers is based on the use of AR antagonists, such as bicalutamide and enzalutamide, first- and second-generation AR antagonists respectively. Gene signatures, bioinformatics, and other clinical trials are also beneficial for clinician in estimating the benefits expected from adjuvant chemotherapy. KEY WORDS Breast Cancer, Oestrogen Receptor, Androgen Receptor, Triple Negative


2021 ◽  
Vol 11 ◽  
Author(s):  
Lun Li ◽  
Min Chen ◽  
Shuyue Zheng ◽  
Hanlu Li ◽  
Weiru Chi ◽  
...  

BackgroundTrastuzumab shows excellent benefits for HER2+ breast cancer patients, although 20% treated remain unresponsive. We conducted a retrospective cohort study to optimize neoadjuvant chemotherapy and trastuzumab treatment in HER2+ breast cancer patients.MethodsSix hundred patients were analyzed to identify clinical characteristics of those not achieving a pathological complete response (pCR) to develop a clinical predictive model. Available RNA sequence data was also reviewed to develop a genetic model for pCR.ResultsThe pCR rate was 39.8% and pCR was associated with superior disease free survival and overall survival. ER negativity and PR negativity, higher HER2 IHC scores, higher Ki-67, and trastuzumab use were associated with improved pCR. Weekly paclitaxel and carboplatin had the highest pCR rate (46.70%) and the anthracycline+taxanes regimen had the lowest rate (11.11%). Four published GEO datasets were analyzed and a 10-gene model and immune signature for pCR were developed. Non-pCR patients were ER+PR+ and had a lower immune signature and gene model score. Hormone receptor status and immune signatures were independent predictive factors of pCR.ConclusionHormone receptor status and a 10-gene model could predict pCR independently and may be applied for patient selection and drug effectiveness optimization.


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