The effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes in patients with breast cancer.

Aim: This study investigated the effect of neoadjuvant chemotherapy (NAC) on stromal tumor-infiltrating lymphocytes (sTILs) and their treatment response. Materials & methods: 115 patients with pre-NAC core biopsies and post-NAC surgical resection specimens were reviewed. Results: There was no significant change between pre- and post-treatment sTILs. Both pre- and post-NAC sTILs were significantly lower in patients with luminal A subtype. An increase in sTILs was observed in 21 (25.9%) patients after NAC, a decrease in 29 (35.8%) and no change in 31 (38.3%; p = 0.07). Pretreatment sTIL density was independent predictor of pathological complete response in multivariate analyses (odds ratio: 1.025, 95% CI: 1.003-1.047; p = 0.023). Conclusion: High sTIL density in core biopsies was independently related to pathological complete response. In addition, ER appears to be the most crucial factor determining the rate of sTIL.

New studies have shown that the tumor microenvironment is critical in tumor behavior. Immune cells surrounding tumor cells are the main components of the tumor microenvironment. Our study aimed to investigate the change in immune cells before and after chemotherapy in breast cancer patients. Our study included 115 patients. All patients underwent chemotherapy before surgery to shrink the tumor. Tru-cut biopsy pieces and the breast tissue obtained after surgery were examined. The presence of estrogen or progesterone receptors on tumor cells decreased the number of immune cells surrounding the tumor cells. The number of immune cells did not decrease after chemotherapy. Another finding was that the greater the number of immune cells around the tumor, the more likely that the tumor would disappear after chemotherapy.

MCM-2 Levels as a Potential Biomarker for Predicting High-Risk Breast Cancer Patients According to TAILORx Classification.

Background: The minichromosome maintenance protein-2 (MCM-2) is a more sensitive proliferation marker than Ki-67. This study aimed to evaluate the relationship between MCM-2 and Oncotype DX recurrence score (ODX-RS) and determine an MCM-2 cutoff value in high-risk patients according to TAILORx risk categorization. Methods: Hormone receptor (HR) positive HER-2 negative early-stage breast cancer patients (pT1-2, pN0-N1, M0) who had ODX-RS were included in the study. According to the TAILORx trial, patients were divided into two groups with high (ODX-RS ≥26) and low risk (ODX-RS <26) in terms of ODX-RS. Formalin-fixed-paraffin-embedded tissues of patients were re-evaluated, and 3 µm sections were prepared for MCM-2 immuno-histochemical staining. The relationship between ODX-RS and the percentage of MCM-2 staining was evaluated in two groups. The ROC curve analysis was performed to determine the MCM-2 cut-off value for the TAILORx high-risk group (ODX-RS ≥26). Results: The mean MCM-2 value was significantly higher in the high-risk group [(60.2 ± 11.2 vs 34.4 ± 13.8, p < 0.001)]. In the multivariate analysis, MCM-2 (OR: 1.27, 95% CI: 1.08-1.49, p = 0.003) and progesterone receptor (PR) levels ≤10% (OR: 60.9, 95% CI: 4.1-89.7, p = 0.003) were found to be independent factors indicating a high-risk group. A one-unit increase in MCM-2 level increased the likelihood of being in the high-risk group by 1.27 times. In the ROC curve analysis, the optimal MCM-2 cut-off level was 50 (AUC: 0.921, sensitivity: 86.7%, specificity: 96.0%, p < 0.001). Conclusion: Our study is the first study in the literature to investigate the relationship between ODX-RS and MCM-2 levels in HR-positive HER-2 negative early breast-cancer patients. In this study, MCM-2 was an independent risk factor in identifying high-risk patients according to TAILORx risk classification. MCM 2 cut-off value (50) may help the decision on adjuvant chemotherapy in patients where the Oncotype DX test cannot be performed.

The Role of Elastography in Diagnosis and Staging of Breast Cancer-Related Lymphedema.

Background: Early detection of lymphedema gives an opportunity for effective and successful treatment of lymphedema. However, the current diagnosis methods, except the bioimpedance analysis, perometry, and indocyanine green lymphography, have limitations in detecting early stage lymphedema. Sonoelastography is a diagnostic ultrasound technique that provides an opportunity to estimate soft tissue stiffness. Shear wave elastography (SWE) is a brand new elastography technique. Unlike strain elastography, this method is conducted automatically, that is, independently of user's manual tissue compression. The aim of this study is to establish the role of sonoelastography in diagnosis and staging of lymphedema by using the SWE technique in lymphedema patients. Methods and Results: A total of 36 female lymphedema patients were included in the study. There was no significant difference between patients with stages 1 (n = 17) and 2 (n = 19) lymphedema in terms of age, duration after surgery, and body mass index (p > 0.05). But, differences in terms of circumference measurements for forearm and arm, L-DEX values, and duration of lymphedema were found to be statistically significant (p = 0.002-0.000-0.000-0.001). Elastography measurements between normal forearm and forearm with lymphedema showed a statistically significant difference (p = 0.012). Correlation was found between circumference measurements and elastography values of forearms (p = 0.004, r = 0.471) and L-DEX scores and elastography measurements (p = 0.041, r = 0.352). When circumferential measurements of the forearms with lymphedema were compared with those with normal forearms, stage 1 patients showed no significant difference (p = 0.850), whereas a significant difference was detected in stage 2 patients (p = 0.003). Conclusion: SWE should be a useful tool in diagnosis and distinguishing early and late stages of lymphedema.