Immune phenotype of tumor microenvironment predicts response to bevacizumab in neoadjuvant treatment of ER-positive breast cancer.

Antiangiogenic drugs are potentially a useful supplement to neoadjuvant chemotherapy for a subgroup of patients with human epidermal growth factor receptor 2 (HER2) negative breast cancer, but reliable biomarkers for improved response are lacking. Here, we report on a randomized phase II clinical trial to study the added effect of bevacizumab in neoadjuvant chemotherapy with FEC100 (5-fluorouracil, epirubicin and cyclophosphamide) and taxanes (n = 132 patients). Gene expression from the tumors was obtained before neoadjuvant treatment, and treatment response was evaluated by residual cancer burden (RCB) at time of surgery. Bevacizumab increased the proportion of complete responders (RCB class 0) from 5% to 20% among patients with estrogen receptor (ER) positive tumors (P = .02). Treatment with bevacizumab was associated with improved 8-year disease-free survival (P = .03) among the good responders (RCB class 0 or I). Patients treated with paclitaxel (n = 45) responded better than those treated with docetaxel (n = 21; P = .03). Improved treatment response was associated with higher proliferation rate and an immune phenotype characterized by high presence of classically activated M1 macrophages, activated NK cells and memory activated CD4 T cells. Treatment with bevacizumab increased the number of adverse events, including hemorrhage, hypertension, infection and febrile neutropenia, but despite this, the ECOG status was not affected.

Prognostic value of metabolic response in breast cancer patients receiving neoadjuvant chemotherapy.

BACKGROUND: Today's clinical diagnostic tools are insufficient for giving accurate prognosis to breast cancer patients. The aim of our study was to examine the tumor metabolic changes in patients with locally advanced breast cancer caused by neoadjuvant chemotherapy (NAC), relating these changes to clinical treatment response and long-term survival. METHODS: Patients (n = 89) participating in a randomized open-label multicenter study were allocated to receive either NAC as epirubicin or paclitaxel monotherapy. Biopsies were excised pre- and post-treatment, and analyzed by high resolution magic angle spinning magnetic resonance spectroscopy (HR MAS MRS). The metabolite profiles were examined by paired and unpaired multivariate methods and findings of important metabolites were confirmed by spectral integration of the metabolite peaks. RESULTS: All patients had a significant metabolic response to NAC, and pre- and post-treatment spectra could be discriminated with 87.9%/68.9% classification accuracy by paired/unpaired partial least squares discriminant analysis (PLS-DA) (p < 0.001). Similar metabolic responses were observed for the two chemotherapeutic agents. The metabolic responses were related to patient outcome. Non-survivors (< 5 years) had increased tumor levels of lactate (p = 0.004) after treatment, while survivors (≥ 5 years) experienced a decrease in the levels of glycine (p = 0.047) and choline-containing compounds (p ≤ 0.013) and an increase in glucose (p = 0.002) levels. The metabolic responses were not related to clinical treatment response. CONCLUSIONS: The differences in tumor metabolic response to NAC were associated with breast cancer survival, but not to clinical response. Monitoring metabolic responses to NAC by HR MAS MRS may provide information about tumor biology related to individual prognosis.

In vivo MRS of locally advanced breast cancer: characteristics related to negative or positive choline detection and early monitoring of treatment response.

OBJECT: To explore factors determining the detection of total choline (tCho) by in vivo MR spectroscopy (MRS) in locally advanced breast cancer and to evaluate the ability of in vivo tCho to predict treatment response after one cycle of neoadjuvant chemotherapy (NAC). MATERIALS AND METHODS: Breast cancer patients (N=40) scheduled for NAC were examined with an MR protocol including in vivo single voxel proton MRS, dynamic contrast enhanced MRI and diffusion weighted MRI. tCho was quantified based on the signal-to-noise ratio. The detection was considered positive with tCho signal-to-noise ratio≥2. RESULTS: tCho was detected in 60% of the patients. Excellent reliability in tCho (ICC=0.97, P<0.001) measurements was confirmed. The water/fat-ratio, tumor volume and distribution of Type II voxels (based on contrast uptake curve) were significantly higher in patients with positive choline detection. The probability of detecting tCho was higher in ER-negative patients. A significant decrease in tChoSNR was detected after treatment, but responders could not be distinguished from non-responders. CONCLUSION: The use of in vivo MRS in breast cancer diagnosis and treatment monitoring should bring supplementary information to the standard MR imaging protocol. With the currently observed low choline detection rate, this is not the case, and technological challenges related to choline detection have to be resolved.

Monitoring of disseminated tumor cells in bone marrow in high-risk breast cancer patients treated with high-dose chemotherapy.

The present study aimed to investigate the clinical relevance of disseminated tumor cells (DTC) in breast cancer patients before and after high-dose adjuvant chemotherapy with or without progenitor stem-cell support. One hundred and eighteen high-risk stage II breast cancer patients entering the Scandinavian Study Group multicenter trial were randomized to 9 cycles of tailored and dose-escalated FEC (5-fluorouracil, epirubicin, cyclophosphamide) or 3 cycles of standard FEC followed by high-dose chemotherapy. Bone marrow (BM) samples at diagnosis and 6 months after completion of chemotherapy were assessed for the presence of cytokeratin positive (CK+) cells. Before treatment, 29% of the patients were CK+ (21% in the dose-escalated group and 36% in the high-dose-group). Six months after treatment, 17% of the patients were CK+ (17 and 16% respectively). Of the 95 patients who were evaluated 6 months after treatment, 60% were consistently CK-. CK+ cells in BM was evaluated as a prognostic and predictive marker and compared to other defined prognostic factors of the primary tumor. Monitoring BM changes at the time of diagnosis and 6 months posttreatment is an independent predictive factor for breast-cancer-specific survival (BCS) (p = 0.001). Those who have consistent CK negative (-) BM findings constitute a group of patients with good prognosis. Our results suggest that changes in CK+ cells in BM before and after chemotherapy can be used clinically as a surrogate maker to predict outcome in breast cancer patients.