scholarly journals Correlation of ER, PR, and HER2 at protein and mRNA levels in the Asian patients with operable breast cancer

2022 ◽  
Author(s):  
Chih-Jung Chen ◽  
Ting-Hao Chen ◽  
Jason Lei ◽  
Ji-An Liang ◽  
Po-Sheng Yang ◽  
...  

Breast cancer is the most common cancer and the leading cause of cancer-related death in women. The estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are important biomarkers in the prognosis of breast cancer, and their expression is used to categorize breast cancer into subtypes. We aimed to analyze the concordance between ER, PR, and HER2 expression levels and breast cancer subtyping results obtained by immunohistochemistry (IHC, for protein) and reverse transcriptase-polymerase chain reaction (RT-PCR, for mRNA) and to assess the recurrence-free survival (RFS) of the different subtypes as determined by the two methods. We compared biomarker expression by IHC and RT-PCR in 397 operable breast cancer patients and categorized all patients into luminal, HER2, and triple-negative (TN) subtypes. The concordance of biomarker expression between the two methods was 81.6% (kappa = 0.4075) for ER, 87.2% (kappa = 0.5647) for PR, and 79.1% (kappa = 0.2767) for HER2. The kappa statistic was 0.3624 for the resulting luminal, HER2, and TN subtypes. The probability of a 5-year RFS was 0.78 for the luminal subtype versus 0.77 for HER2 and 0.51 for TN, when determined by IHC (p = 0.007); and 0.80, 0.71, and 0.61, respectively, when determined by the RT-PCR method (p = 0.008). Based on the current evidence, subtyping by RT-PCR performs similarly to conventional IHC with regard to the 5-year prognosis. The PCR method may thus provide a complementary means of subtyping when IHC results are ambiguous.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e12104-e12104
Author(s):  
Yidong Zhou

e12104 Background: Circulating tumor cells (CTCs) have proven to be underlying surrogate markers for several cancers. We aimed to investigate the diagnostic, predictive, and prognostic value of tCTCs using a four-CTC marker (CK19, surviving, Her2 and MUC1) real-time quantitative PCR (RT-PCR) assay in patients with breast cancer. Methods: In a previous study, we established a multimarker RT-PCR platform to detect and quantify CTC in colorectal cancer. By choosing four mRNA markers (CK-19/surviving/Her2/Muc1), we quantified CTC in the peripheral blood of 90 early operable breast cancer patients, 40 patients who had undergone surgery and received 6 cycles of follow-up of neoadjuvant chemotherapy, and 30 healthy volunteers. For early operable breast cancer patients, the CTC status at preoperative and postoperative time points was monitored. For the other 40 patients undergoing systemic adjuvant chemotherapy, the CTC status at six or more different time points was monitored. Results: CTCs were detected in 81% (73/90) of patients with early operable breast cancer. After surgery, 67.1% (49/73) of the patients switched to negative status. 36 out of 40 (90%) patients who received systemic adjuvant chemotherapy were CTC-positive. During follow-up, 31 out of 36 (86%,) patients became CTC-negative after 4 chemotherapy cycles. Among these 36 patients, four patients had relapsed within one year, and one had died. Three out of four relapsed patients, including the deceased one, switched into high CTC-positive status before diagnosed recurrence. Conclusions: The decrease of the levels of these CTC mRNA markers after surgery indicates that these CTC markers could be used as an indirect evaluation of tumor burden. The level of CTC mRNA markers could also help to evaluate therapeutic efficacy and disease progression.


2006 ◽  
Vol 119 (7) ◽  
pp. 1654-1659 ◽  
Author(s):  
Aliki Stathopoulou ◽  
Maria Ntoulia ◽  
Maria Perraki ◽  
Stella Apostolaki ◽  
Dimitris Mavroudis ◽  
...  

2006 ◽  
Vol 66 (S 01) ◽  
Author(s):  
T Fehm ◽  
S Becker ◽  
MJ Banys ◽  
G Becker-Pergola ◽  
S Duerr-Stoerzer ◽  
...  

2009 ◽  
Vol 32 (3) ◽  
pp. 250 ◽  
Author(s):  
Wen-sheng Qui ◽  
Lu Yue ◽  
Ai-ping Ding ◽  
Jian Sun ◽  
Yang Yao ◽  
...  

Purpose: To assess the prognostic value of co-expression of estrogen receptor (ER)-beta and human epidermal growth factor receptor 2 (HER2) in primary breast cancer patients in China. Methods: Tumour specimens from 308 patients undergoing surgery for primary breast cancer were evaluated. Expression of ER-beta and HER-2 was investigated by the immunohistochemistry. Results: 123 patients (40%) were ER-beta positive and 58 (18.5 %) were HER2 positive. Among the 58 HER2 positive patients, 44 were ER-beta positive and 14 were ER-beta negative. ER-beta positive was associated with HER2 positive (75.9%, P=0.018) as well as ER-alpha positive (79.7%, P=0.023), poor cell differentiation (77.2% grade 2 or 3, P=0.010) and menopause age < 45 yr (55.3%, P=0.031). HER2 positive was associated with poor cell differentiation (93.1%, P=0.001), ?3cm tumour size (67.2%, P=0.011). Conclusion: Both ER-beta positive and HER2 positive status was associated with poorer overall survival (OS) by univariate analysis. In both HER2 positive and HER2 negative subgroups, ER-beta positive was associated with poorer distant disease free survival (DDFS) but not OS, which implied that ER-beta might relate to metastasis in breast cancer.


2001 ◽  
Vol 66 (3) ◽  
pp. 249-254 ◽  
Author(s):  
Ana Rita Manhani ◽  
Reinaldo Manhani ◽  
Heloisa P. Soares ◽  
Israel Bendit ◽  
Fabiana Lopes ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Angela M. Jarrett ◽  
David A. Hormuth ◽  
Vikram Adhikarla ◽  
Prativa Sahoo ◽  
Daniel Abler ◽  
...  

AbstractWhile targeted therapies exist for human epidermal growth factor receptor 2 positive (HER2 +) breast cancer, HER2 + patients do not always respond to therapy. We present the results of utilizing a biophysical mathematical model to predict tumor response for two HER2 + breast cancer patients treated with the same therapeutic regimen but who achieved different treatment outcomes. Quantitative data from magnetic resonance imaging (MRI) and 64Cu-DOTA-trastuzumab positron emission tomography (PET) are used to estimate tumor density, perfusion, and distribution of HER2-targeted antibodies for each individual patient. MRI and PET data are collected prior to therapy, and follow-up MRI scans are acquired at a midpoint in therapy. Given these data types, we align the data sets to a common image space to enable model calibration. Once the model is parameterized with these data, we forecast treatment response with and without HER2-targeted therapy. By incorporating targeted therapy into the model, the resulting predictions are able to distinguish between the two different patient responses, increasing the difference in tumor volume change between the two patients by > 40%. This work provides a proof-of-concept strategy for processing and integrating PET and MRI modalities into a predictive, clinical-mathematical framework to provide patient-specific predictions of HER2 + treatment response.


2006 ◽  
Vol 17 (3) ◽  
pp. 424-428 ◽  
Author(s):  
L. Mercatali ◽  
V. Valenti ◽  
D. Calistri ◽  
S. Calpona ◽  
G. Rosti ◽  
...  

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