الفهرس | Only 14 pages are availabe for public view |
Abstract Breast cancer is the most frequently diagnosed malignancy, accounting for over a million cases each year. It is also the leading cause of cancer death in women worldwide. In the United States, breast cancer is the most common female cancer, the second most common cause of cancer death in women after lung cancer, and the main cause of death in women ages 20 to 59 years (Siegel et al., 2013). Breast cancer is the most common cancer among women in Egypt. The proportion of breast cancer among Egyptian females was 32.0% followed by liver cancer 13.5%. The age standardized rate and the crude incidence rate for breast cancer per 100,000 were 53 and 43.8 respectively (Amal et al., 2014). Breast cancer (BC) is a heterogeneous disease not only in clinical but also in biological features. The heterogeneity of BC results in significant differences between certain histomolecular subgroups in treatment efficacy and prognosis. Gene expression profiling has led to identification 4 different molecular subtypes (luminal A, luminal B, basal-like, HER2+) (Prat et al., 2015). Neoadjuvant chemotherapy (NAC), known as induction or preoperative treatment, has been widely used to treat locally advanced and inflammatory breast cancer. In addition, this approach was introduced in operable BC with the initial aim to downstage the tumor for better loco-regional control and increased conservative surgery rate (Minghao et al., 2017). Another important advantage of using neoadjuvant chemotherapy was an early identification of unresponsive tumors; that gives an opportunity to terminate the ineffective therapy and/or to switch to an alternative regimen (Angela Pennisi et al., 2016). It is well accepted that various subtypes of breast cancer show different sensitivities to neoadjuvant chemotherapy (Jiayu Wang et al., 2016). Our study is aimed to evaluate the role of molecular subtypes in predicting the response to neoadjuvant chemotherapy among breast cancer patients at clinical oncology department in Ain Shams university hospital. A total of 102 patients were eligible for final analysis with 76 patients presented with luminal subtype, 8 patients with HER2 overexpression subtype and 18 cases with triple-negative subtype. The primary endpoint of this study was the pCR rate according to molecular subtypes Regarding pathological response for neoadjuvant therapy, 9 patients achieved pCR (8.8%). The percentage of pCR cases differed significantly among the 3 molecular subtypes with highest percentage in triple-negative subtype 38.9% (7/18). Much lesser percentage for luminal subtype 2.6% (2/76) being luminal B with her2neu negative result and no cases had pCR in HER2-overpression subtype (0/8) (p<0.001) In conclusion, molecular subtypes based on ER, PR, HER2 and ki-67 can predict the pathological response of breast cancer patients treated with neoadjuvant chemotherapy. pCR rate varies significantly among different breast cancer molecular sub-groups. pCR rate is higher in triple negative breast cancer than HER 2 enriched and luminal subtypes. |