PI3K mutations detected in liquid biopsy are associated to reduced sensitivity to CDK4/6 inhibitors in metastatic breast cancer patients.

BACKGROUND: PI3K pathway hyperactivation due to PIK3CA mutations contributes to endocrine resistance, and PIK3CA is one of the most frequently mutated genes in breast cancer (BC), occurring approximately 40 % of HR+, HER2- advanced BC (ABC). Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) have changed the treatment landscape of HR+, HER2- ABC. Putative mechanisms of resistance to CDK4/6i have been identified, but limited data are available on PI3K deregulation. The present study evaluates the impact of PIK3CA mutations on CDK4/6i plus hormone therapy and evaluates potential characteristics that may suggest for a PI3K screening in patients with ABC. METHODS: ABC patients were enrolled, and 12 mL of blood were collected in EDTA tubes at baseline prior to CDK4/6i plus hormone therapy. Plasma was separated and circulating free DNA (cfDNA) was extracted. PIK3CA mutation analysis was performed on a ddPCR. Selected and analyzed mutations included: p.C420R, p.E542 K, p.E545A, p.E545D, p.E545G, p.E545K, p.Q546E, p.Q546R, p.H1047L, p.H1047R, p.H1047Y. Statistical analysis were performed to investigate the predictive power of such mutations and any association with clinical factors. RESULTS: Thirty patients were enrolled. PIK3CA mutation status at baseline was independently associated with shorter median PFS (7.44 vs 12.9 months, p = 0.01) in subject receiving CDK4/6i plus hormone therapy. PIK3CA mutations were found to be associated to Ki67 expression in primary lesions (p = 0.006). Moreover, the probability to find a PI3K mutation improved considering also the therapeutic management in previous lines of treatment (McFadden's R2 = 0.415, p = 0.004; AUC of the ROC curve = 0.914). CONCLUSION: The findings of this pilot study suggest that the presence of a PI3K mutation in liquid biopsy correlates with a worse PFS in patients with ABC receiving CDK4/6i, and that liquid biopsy is a useful tool to suggests a better tailored pharmacological intervention.

Overexpression of TK1 and CDK9 in plasma-derived exosomes is associated with clinical resistance to CDK4/6 inhibitors in metastatic breast cancer patients.

PURPOSE: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) improve progression-free survival (PFS) in patients with hormone receptor-positive (HR+) advanced breast cancer. However, a better knowledge of predictive biomarkers of response and resistance to CDK4/6i is needed. Therefore, the present article addresses the role of the mRNA expression of thymidine kinase 1 (TK1), CDK4, 6 and 9 in plasma-derived exosomes and their relevance in the pharmacologic activity of CDK4/6i. METHODS: Blood samples of 40 HR+/HER2- advanced breast cancer patients were collected before (T0) the administration of palbociclib plus hormonal therapy and after 3 months (T1). RNA was isolated from exosomes and analysed for the expression of TK1, CDK 4, 6 and 9 by digital droplet PCR (ddPCR). RESULTS: A higher value of TK1 copies/ml at baseline (T0) was significantly associated with the number of previous lines of chemotherapy (p = 0.009). In patients with PD, a significant increase was observed in the number of copies/ml of TK1 (p = 0.01) and CDK9 (p = 0.03) comparing T1 vs. T0 values. No significant correlations between response to treatment and clinical parameters were found at univariate analysis. High baseline CDK4 expression was significantly correlated with longer PFS in patients treated with fulvestrant + palbociclib (low versus high: 6.45 months vs. not reached, p = 0.01). CONCLUSIONS: The present study demonstrates that, in plasma-derived exosomes, high baseline CDK4 mRNA levels are associated with response to palbociclib plus hormonal therapy, while the increase in TK1 and CDK9 mRNA copies/ml is associated with clinical resistance.

Usefulness of MRI-based radiomic features for distinguishing Warthin tumor from pleomorphic adenoma: performance assessment using T2-weighted and post-contrast T1-weighted MR images.

Purpose: Differentiating Warthin tumor (WT) from pleomorphic adenoma (PA) is of primary importance due to differences in patient management, treatment and outcome. We sought to evaluate the performance of MRI-based radiomic features in discriminating PA from WT in the preoperative setting. Methods: We retrospectively evaluated 81 parotid gland lesions (48 PA and 33 WT) on T2-weighted (T2w) images and 52 of them on post-contrast fat-suppressed T1-weighted (pcfsT1w) images. All MRI examinations were carried out on a 1.5-Tesla MRI scanner, and images were segmented manually using the software ITK-SNAP (www.itk-snap.org). Results: The most discriminative feature on pcfsT1w images was GLCM_InverseVariance, yielding area under the curve (AUC), sensitivity and specificity of 0.9, 86 % and 87 %, respectively. Skewness was the feature extracted from T2w images with the highest specificity (88 %) in discriminating WT from PA. Conclusion: Radiomic analysis could be an important tool to improve diagnostic accuracy in differentiating PA from WT.

NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.

NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project's goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e., standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.

Impact of COVID-19 outbreak on cancer immunotherapy in Italy: a survey of young oncologists.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has overwhelmed the health systems worldwide. Data regarding the impact of COVID-19 on cancer patients (CPs) undergoing or candidate for immune checkpoint inhibitors (ICIs) are lacking. We depicted the practice and adaptations in the management of patients with solid tumors eligible or receiving ICIs during the COVID-19 pandemic, with a special focus on Campania region. METHODS: This survey (25 questions), promoted by the young section of SCITO (Società Campana di ImmunoTerapia Oncologica) Group, was circulated among Italian young oncologists practicing in regions variously affected by the pandemic: high (group 1), medium (group 2) and low (group 3) prevalence of SARS-CoV-2-positive patients. For Campania region, the physician responders were split into those working in cancer centers (CC), university hospitals (UH) and general hospitals (GH). Percentages of agreement, among High (H) versus Medium (M) and versus Low (L) group for Italy and among CC, UH and GH for Campania region, were compared by using Fisher's exact tests for dichotomous answers and χ2 test for trends relative to the questions with 3 or more options. RESULTS: This is the first Italian study to investigate the COVID-19 impact on cancer immunotherapy, unique in its type and very clear in the results. The COVID-19 pandemic seemed not to affect the standard practice in the prescription and delivery of ICIs in Italy. Telemedicine was widely used. There was high consensus to interrupt immunotherapy in SARS-CoV-2-positive patients and to adopt ICIs with longer schedule interval. The majority of the responders tended not to delay the start of ICIs; there were no changes in supportive treatments, but some of the physicians opted for delaying surgeries (if part of patients' planned treatment approach). The results from responders in Campania did not differ significantly from the national ones. CONCLUSION: Our study highlights the efforts of Italian oncologists to maintain high standards of care for CPs treated with ICIs, regardless the regional prevalence of COVID-19, suggesting the adoption of similar solutions. Research on patients treated with ICIs and experiencing COVID-19 will clarify the safety profile to continue the treatments, thus informing on the most appropriate clinical conducts.