Eribulin in male patients with breast cancer: The first report of clinical outcomes

Background. Evidence on the management and treatment of male breast cancer is scant. We report the analysis of a multicenter Italian series of patients with male breast cancer treated with eribulin. To our knowledge, this is the first report on the use or eribulin in this setting. Patients and Methods. Patients were retrospectively identified in 19 reference centers. All patients received eribulin treatment, according to the standard practice of each center. Data on the identified patients were collected using a standardized form and were then centrally reviewed by two experienced oncologists. Results. A total of 23 patients (median age, 64 yearsrange, 42–80) were considered. The median age at the time of diagnosis of breast cancerwas 57 years (range, 42–74).HER2 status was negative in 14 patients (61%), and 2 patients (9%) had triple-negative disease. The most common metastatic sites were the lung (n 5 1461%) and bone (n 5 1356%). Eribulin was administered for a median of 6 cycles (range, 3–15). All patients reported at least stable diseasetwo complete responses (9%) were documented. Eribulin was well-tolerated, with only four patients (17%) reporting grade 3 adverse events and two (9%) with treatment interruptions because of toxicity. Eight subjects (35%) did not report any adverse event during treatment. For patients with a reported fatal event, the median overall survival from the diagnosis of metastatic disease was 65 months (range, 22–228). Conclusion. Although hampered by all the limitations of any retrospective case series, the results of the present study suggest, for the first time, the use of eribulin as therapy for male breast cancer

APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research

Introduction: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). Methods and objectives: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. Conclusion: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project

The changes of lipid metabolism in advanced renal cell carcinoma patients treated with everolimus: a new pharmacodynamic marker?

Everolimus is a mammalian target of rapamycin (mTOR) inhibitor approved for the treatment of metastatic renal cell carcinoma (mRCC). We aimed to assess the association between the baseline values and treatmentrelated modifications of total serum cholesterol (C), triglycerides (T), body mass index (BMI), fasting blood glucose level (FBG) and blood pressure (BP) levels and the outcome of patients treated with everolimus for mRCC.177 patients were included in this retrospective analysis. Time to progression (TTP), clinical benefit (CB) and overall survival (OS) were evaluated.Basal BMI was significantly higher in patients who experienced a CB (p=0,0145). C,T and C+T raises were significantly associated with baseline BMI (p=0.0412, 0.0283 and 0.0001). Median TTP was significantly longer in patients with T raise compared to patients without T (10 vs 6, p=0.030), C (8 vs 5, p=0.042) and C+T raise (10.9 vs 5.0, p=0.003). At the multivariate analysis, only C+T increase was associated with improved TTP (p=0.005). T raise (21.0 vs 14.0, p=0.002) and C+T increase (21.0 vs 14.0, p=0.006) were correlated with improved OS but were not significant at multivariate analysis.C+T raise is an early predictor for everolimus efficacy for patients with mRCC

A study of the humoral immune response of breast cancer patients to a panel of human tumor antigens identified by phage display

Objective: In this article we provide evidence of a significant spontaneous humoral response in cancer patients. Methods: A panel of tumor-associated antigens, previously identified through serological screening of phage-displayed cDNA libraries from solid human tumors, breast carcinoma cell lines and human testis by employing breast cancer patient sera, was used in this study to survey sera from 182 patients with known disease histories and clinical stages. Results: This analysis reveals a statistically significant association between tumor disease and presence in peripheral blood of IgG antibodies against four autoantigens. One of these antigens (D7-1) is particularly interesting in that the antibody response against it grows with cancer progression from stages I through IV, with an incidence of 13.2, 13.5, 18.2 and 27%, respectively. The significance of this stage-dependent increase in the incidence is confirmed by the Mantel-Haenszel Chi-squared test (P = 0.001). Conclusions: Our data confirm association between breast cancer diagnosis of patients and presence in their peripheral blood of antibodies against several autoantigens identified by phage display. © 2006 International Society for Preventive Oncology

Correlation between change in C (panel A), T (panel B), C+T (panel C) and basal BMI (D) with Clinical Benefit (SD or PR as best response) during everolimus therapy.

<p>Correlation between change in C (panel A), T (panel B), C+T (panel C) and basal BMI (D) with Clinical Benefit (SD or PR as best response) during everolimus therapy.</p