A plasma metabolomic signature discloses human breast cancer.

PURPOSE: Metabolomics is the comprehensive global study of metabolites in biological samples. In this retrospective pilot study we explored whether serum metabolomic profile can discriminate the presence of human breast cancer irrespective of the cancer subtype. METHODS: Plasma samples were analyzed from healthy women (n = 20) and patients with breast cancer after diagnosis (n = 91) using a liquid chromatography-mass spectrometry platform. Multivariate statistics and a Random Forest (RF) classifier were used to create a metabolomics panel for the diagnosis of human breast cancer. RESULTS: Metabolomics correctly distinguished between breast cancer patients and healthy control subjects. In the RF supervised class prediction analysis comparing breast cancer and healthy control groups, RF accurately classified 100% both samples of the breast cancer patients and healthy controls. So, the class error for both group in and the out-of-bag error were 0. We also found 1269 metabolites with different concentration in plasma from healthy controls and cancer patients; and basing on exact mass, retention time and isotopic distribution we identified 35 metabolites. These metabolites mostly support cell growth by providing energy and building stones for the synthesis of essential biomolecules, and function as signal transduction molecules. The collective results of RF, significance testing, and false discovery rate analysis identified several metabolites that were strongly associated with breast cancer. CONCLUSIONS: In breast cancer a metabolomics signature of cancer exists and can be detected in patient plasma irrespectively of the breast cancer type.

The role of immunohistochemistry in breast cancer patients treated with neoadjuvant chemotherapy: an old tool with an enduring prognostic value.

BACKGROUND: To assess the molecular subtypes determined by hormonal receptors (HR) and human epidermal growth factor receptor 2 (HER2) status and the role of proliferation measured by the Ki-67 marker as predictive and prognostic factors in breast cancer patients treated with neoadjuvant chemotherapy. METHODS: A total of 127 breast cancer patients were treated with neoadjuvant chemotherapy every 2 weeks as part of 2 studies. Study A consisted of the administration of Adriamycin (40 mg/m(2)) on day 1 plus paclitaxel (150 mg/m(2)) and gemcitabine 2000 mg/m(2)) on day 2 for 6 cycles (n = 54). Study B consisted of the administration of epirubicin (90 mg/m(2)), cyclophosphamide (600 mg/m(2)) on day 1 for 3 cycles, followed by the administration of paclitaxel (150 mg/m(2)) and gemcitabine 2500 (mg/m(2)) on day 1 with or without trastuzumab according to HER2 status (n = 73). In study A, patients did not receive trastuzumab regardless of HER2 status. The molecular subtypes of the patients with breast cancer were classified as 49% HR(+)/HER2(-), 17.5% HR(+)/HER2(+), 13.5% HR(-)/HER2(+), and 20% HR(-)/HER2(-). RESULTS: Pathologic complete response (pCR), defined as the absence of invasive cells in the breast and the lymph nodes, was achieved in 35 (28%) patients. The pCR rate was significantly different between the molecular subtypes of breast cancer, with 9% in HR(+)/HER2(-), 23% in HR(+)/HER2(+), 50% in HR(-)/HER2(+), and 56% in HR(-)/HER2(-) tumors (P < .001). The pCR rate was significantly higher in tumors that had high Ki-67 (≥20%) expression and were HR(-). HER2(+) was associated with a higher trend of pCR but did not reach statistical significance. The median follow-up was 81 months (r = 15-150 months). Patients who achieved a pCR had a significantly lower recurrence (P = .01) and higher overall survival (P = .02) compared with those who did not achieve pCR. A multivariate analysis revealed that pCR (hazard ratio 0.24 [95% CI, 0.07-0.7]; P = .019), the molecular subtype (hazard ratio 0.3 [95% CI, 0.1-0.8]; P = .02), and the Ki-67 index (hazard ratio 3.2 [95% CI, 1.4-7.1]; P = .004) were significant independent predictors of disease-free survival. Similar results were obtained for overall survival, in which the pCR rate (hazard ratio 0.119 [95% CI, 0.028-0.5]; P = .004), the molecular subtype (hazard ratio 0.17 [95% CI, 0.03-0.86]; P = .02), and the Ki-67 index (hazard ratio 3.6 [95% CI, 1.3-9.7]; P = .01) also displayed a significant influence on survival. CONCLUSIONS: Molecular subtypes and Ki-67 index were independent prognostic factors for disease-free survival and overall survival in breast cancer patients treated with neoadjuvant chemotherapy. A high rate of Ki-67 and HR(-) expression were predictors of pCR.

Tumour molecular subtyping according to hormone receptors and HER2 status defines different pathological complete response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.

PURPOSE: To study the role of breast cancer molecular subtypes according to hormone receptors and HER2 status as a predictive factor for pathological complete response (pCR) to neoadjuvant chemotherapy. PATIENTS AND METHODS: Eligible patients received one of the two chemotherapy schedules every two weeks with prophylactic growth factor support; schedule A: epirubicin 90 mg/m2-cyclophosphamide 600 mg/m2 d1 for 3 cycles followed by a second sequence with paclitaxel (P) 150 mg/ m2-gemcitabine (G) 2500 mg/m2 d1+/-trastuzumab (T) 2 mg/kg/week according to HER2 status (n=73); schedule B: adriamycin (40 mg/m2) d1 plus P (150 mg/m2)-G (2000 mg/m2) d2 for 6 cycles (n=54). Subsequently, patients underwent surgery, radiotherapy and/or adjuvant hormonal therapy according to standard practice. RESULTS: A total of 127 patients were evaluated. Forty-three patients (33.9%) achieved a pCR (50% in patients with HER2+tumours treated with T). Patients treated with che - motherapy alone (n=107, 18 HER2+) had a pCR of 32% (p=0.068). The pCR rate for patients with triple negative (HR and HER2-) cancers was 58.3%, 39.5% for HER2+ and 5.4% for ER/PR+ and HER2- (p<0.001). No differences in disease-free survival (DFS) were noted as a function of pCR, HER2 and HR status or treatment received (+/-T). However, statistical differences in DFS were observed as a function of whether patients had + or - axillar lymph nodes. Patients with + lymph node disease did worse (3 years DFS of 53.7% vs. 81.5%, p=0.025). Breast-conserving surgery was performed in 77 patients (60.6%). CONCLUSION: Tumour molecular subtyping defines different pCR to neoadjuvant chemotherapy (NC) but has no impact over DFS in patients with LABC. Although no significant correlation between HER2 status and trastuzumab therapy with pCR was found, probably due to the small number of patients, a favourable trend was observed in the group of HER2+ tumours treated with T.