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Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) in combination with endocrine therapy improve the outcomes of patients with hormone-receptor (HR)-positive, HER2-negative advanced breast cancer and can be used early as first-line treatment or deferred to second-line treatment 1 , 2 , 3 , 4 , 5 , 6 – 7 . Randomized data comparing the use of CDK4/6i in the first- and second-line setting are lacking. The phase 3 SONIA trial (NCT03425838) randomized 1,050 patients who had not received previous therapy for advanced breast cancer to receive CDK4/6i in the first- or second-line setting 8 . All of the patients received the same endocrine therapy, consisting of an aromatase inhibitor for first-line treatment and fulvestrant for second-line treatment. The primary end point was defined as the time from randomization to disease progression after second-line treatment (progression-free survival 2 (PFS2)). We observed no statistically significant benefit for the use of CDK4/6i as a first-line compared with second-line treatment (median, 31.0 versus 26.8 months, respectively; hazard ratio = 0.87; 95% confidence interval = 0.74–1.03; P  = 0.10). The health-related quality of life was similar in both groups. First-line CDK4/6i use was associated with a longer CDK4/6i treatment duration compared with second-line use (median CDK4/6i treatment duration of 24.6 versus 8.1 months, respectively) and more grade ≥3 adverse events (2,763 versus 1,591, respectively). These data challenge the need for first-line use of a CDK4/6i in all patients. The phase 3 SONIA trial challenges the benefits of using cyclin-dependent kinase 4 and 6 inhibitors as a first-line compared with second-line treatment.

BackgroundEverolimus-related interstitial lung disease (ILD) (also: pneumonitis) poses a difficulty for physicians, as it is hard to discriminate ILD from other causes of respiratory symptoms and to decide on safe treatment continuation.ObjectiveWe investigated the capability of pulmonary function tests (PFT), plasma biomarkers, everolimus pharmacokinetics, and FDG-PET to discriminate between everolimus-related ILD and other causes of respiratory problems and to predict the severity of ILD.Patients and methodsWomen starting treatment with everolimus plus exemestane for advanced breast cancer were included. At baseline and during the first 3 months, respiratory symptoms, PFT with diffusion capacity of the lungs for carbon monoxide corrected for hemoglobin (DLCOc) and forced vital capacity, serum plasma biomarkers (including SP-D and YKL-40), everolimus trough concentration, and 18F-FDG-PET were prospectively recorded.ResultsTwenty-seven (out of 29 included) patients were evaluable for analysis. Fifteen patients (56%) developed everolimus-related respiratory signs or symptoms and four patients (15%) needed everolimus discontinuation and received corticosteroids. Change in DLCOc differentiated ILD from alternative diagnoses with 0.91 sensitivity and 0.78 specificity. Decrease in DLCOc (non-significant) was greatest in patients who needed everolimus discontinuation. Serum SP-D and YKL-40 could differentiate ILD from alternative diagnoses with 0.83 and 0.83 sensitivity, and 0.85 and 0.62 specificity, respectively. 18F-FDG-PET abnormalities did not precede clinical symptoms. No relationship between ILD and everolimus trough concentration was found.ConclusionsThis study shows that everolimus-related ILD occurs frequently. Prospective monitoring of DLCOc in combination with measurement of serum SP-D and YKL-40 appear useful to discriminate ILD from other causes of respiratory symptoms. Clinicaltrials.gov identifier: NCT01978171.

ObjectiveWe explored, in advanced breast cancer, whether: (1) patients recall less information following bad versus good news consultations; (2) empathy has a greater effect on recalled information following bad versus good news consultations.MethodsObservational study using audio-recorded consultations. Participants’ recall of provided information about treatment options, aims/positive effects and side-effects was assessed. Clinician-expressed empathy and consultation type were determined. Regression analyses assessed associations between consultation type and recall, exploring moderating influences of clinician-expressed empathy.ResultsFor 41 consultations (18 bad news, 23 good news), recall data were completed; total recall (47% vs 73%, p=0.03) and recall about treatment options (67% vs 85%, p=0.08, trend) were significantly worse following bad news compared with good news consultations. Recall about treatment aims/positive effects (53% vs 70%, p=0.30) and side-effects (28% vs 49%, p=0.20) was not significantly worse following bad news. Empathy moderated the relationship between consultation type and total recall (p<0.01), recall about treatment options (p=0.03) and about aims/positive effects (p<0.01) but not about side-effects (p=0.10). Only following good news consultations empathy influenced recall favourably.ConclusionsThis explorative study suggests that in advanced cancer, information recall is especially impaired following bad news consultations, for which empathy does not improve remembered information.

BackgroundTreating breast cancer patients with everolimus and exemestane can be challenging due to toxicity and suboptimal treatment responses.ObjectiveWe investigated whether everolimus exposure and early metabolic response are predictors for toxicity and effectiveness in these patients.Patients and MethodsWe performed pharmacokinetic assessments 14 and 35 days after starting treatment. [18F]fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) was performed at baseline, and 14 and 35 days after the start of the therapy. We recorded toxicity, defined as dose interventions within 3 months, and progression-free survival (PFS).ResultsAmong 44 evaluable patients, the geometric mean (GM) Ctrough was higher in patients with toxicity compared to patients without (17.4 versus 12.3 μg/L (p = 0.02)). The optimal cut-off value to predict toxicity was Ctrough > 19.2 μg/L. GM Ctrough of patients with and without progressive disease (PD) within 3 months was not significantly different (12.0 versus 15.2 μg/L (p = 0.118)). In 28 evaluable patients, PD within 3 months could best be predicted using the percentage decrease in peak standardized uptake value normalized by lean body mass of the lesion with highest FDG uptake (SULpeak high) at day 14. Patients with <11% versus >11% decrease in SULpeak high at day 14 had a median PFS of 90 days versus 411 days, respectively (p = 0.0013) and more frequently had PD within 3 months: 70 vs 11%, respectively.ConclusionsOur results show that everolimus toxicity is related to everolimus Ctrough. No relation was observed between everolimus exposure and treatment effectiveness. An early FDG-PET can identify patients at high risk of nonresponse. These results warrant further validation. Clinicaltrials.gov identifier: NCT01948960.

In this randomized trial, women with extremely dense breast tissue were invited to undergo MRI screening or received only mammography during a 2-year screening period. There was a 50% lower rate of interval cancers among the women invited for MRI screening. Among those who underwent MRI-directed biopsies, 26% had breast cancer.

During blood stage Plasmodium falciparum infection, merozoites invade uninfected erythrocytes via a complex, multistep process involving a series of distinct receptor-ligand binding events. Understanding each element in this process increases the potential to block the parasite's life cycle via drugs or vaccines. To investigate specific receptor-ligand interactions, they were systematically blocked using a combination of genetic deletion, enzymatic receptor cleavage and inhibition of binding via antibodies, peptides and small molecules, and the resulting temporal changes in invasion and morphological effects on erythrocytes were filmed using live cell imaging. Analysis of the videos have shown receptor-ligand interactions occur in the following sequence with the following cellular morphologies; 1) an early heparin-blockable interaction which weakly deforms the erythrocyte, 2) EBA and PfRh ligands which strongly deform the erythrocyte, a process dependant on the merozoite's actin-myosin motor, 3) a PfRh5-basigin binding step which results in a pore or opening between parasite and host through which it appears small molecules and possibly invasion components can flow and 4) an AMA1-RON2 interaction that mediates tight junction formation, which acts as an anchor point for internalization. In addition to enhancing general knowledge of apicomplexan biology, this work provides a rational basis to combine sequentially acting merozoite vaccine candidates in a single multi-receptor-blocking vaccine.

Dietary choices drive both health and environmental outcomes. Information on diets come from many sources, with nationally recommended diets (NRDs) by governmental or similar advisory bodies the most authoritative. Little or no attention is placed on the environmental impacts within NRDs. Here we quantify the impact of nation-specific NRDs, compared with an average diet in 37 nations, representing 64% of global population. We focus on greenhouse gases (GHGs), eutrophication, and land use because these have impacts reaching or exceeding planetary boundaries. We show that compared with average diets, NRDs in high-income nations are associated with reductions in GHG, eutrophication, and land use from 13.0 to 24.8%, 9.8 to 21.3%, and 5.7 to 17.6%, respectively. In upper-middle–income nations, NRDs are associated with slight decrease in impacts of 0.8–12.2%, 7.7–19.4%, and 7.2–18.6%. In poorer middle-income nations, impacts increase by 12.4–17.0%, 24.5–31.9%, and 8.8–14.8%. The reduced environmental impact in high-income countries is driven by reductions in calories (∼54% of effect) and a change in composition (∼46%). The increased environmental impacts of NRDs in low- and middle-income nations are associated with increased intake in animal products. Uniform adoption of NRDs across these nations would result in reductions of 0.19–0.53 Gt CO₂ eq·a−1, 4.32–10.6 Gt PO 4 3 − eq·a−1, and 1.5–2.8 million km², while providing the health cobenefits of adopting an NRD. As a small number of dietary guidelines are beginning to incorporate more general environmental concerns, we anticipate that this work will provide a standardized baseline for future work to optimize recommended diets further.

Breast cancer tumor grade is strongly associated with patient survival. In current clinical practice, pathologists assign tumor grade after visual analysis of tissue specimens. However, different studies show significant inter-observer variation in breast cancer grading. Computer-based breast cancer grading methods have been proposed but only work on specifically selected tissue areas and/or require labor-intensive annotations to be applied to new datasets. In this study, we trained and evaluated a deep learning-based breast cancer grading model that works on whole-slide histopathology images. The model was developed using whole-slide images from 706 young (< 40 years) invasive breast cancer patients with corresponding tumor grade (low/intermediate vs. high), and its constituents nuclear grade, tubule formation and mitotic rate. The performance of the model was evaluated using Cohen’s kappa on an independent test set of 686 patients using annotations by expert pathologists as ground truth. The predicted low/intermediate ( n  = 327) and high ( n  = 359) grade groups were used to perform survival analysis. The deep learning system distinguished low/intermediate versus high tumor grade with a Cohen’s Kappa of 0.59 (80% accuracy) compared to expert pathologists. In subsequent survival analysis the two groups predicted by the system were found to have a significantly different overall survival (OS) and disease/recurrence-free survival (DRFS/RFS) ( p  < 0.05). Univariate Cox hazard regression analysis showed statistically significant hazard ratios ( p  < 0.05). After adjusting for clinicopathologic features and stratifying for molecular subtype the hazard ratios showed a trend but lost statistical significance for all endpoints. In conclusion, we developed a deep learning-based model for automated grading of breast cancer on whole-slide images. The model distinguishes between low/intermediate and high grade tumors and finds a trend in the survival of the two predicted groups.

Patients with an indication for an implantable cardioverter–defibrillator but no indication for pacing were randomly assigned to a subcutaneous or a transvenous ICD. At 49 months, the subcutaneous ICD was noninferior to the transvenous ICD with respect to device-related complications and inappropriate shocks.

IgG antibodies can organize into ordered hexamers on cell surfaces after binding their antigen. These hexamers bind the first component of complement C1 inducing complement-dependent target cell killing. Here, we translated this natural concept into a novel technology platform (HexaBody technology) for therapeutic antibody potentiation. We identified mutations that enhanced hexamer formation and complement activation by IgG1 antibodies against a range of targets on cells from hematological and solid tumor indications. IgG1 backbones with preferred mutations E345K or E430G conveyed a strong ability to induce conditional complement-dependent cytotoxicity (CDC) of cell lines and chronic lymphocytic leukemia (CLL) patient tumor cells, while retaining regular pharmacokinetics and biopharmaceutical developability. Both mutations potently enhanced CDC- and antibody-dependent cellular cytotoxicity (ADCC) of a type II CD20 antibody that was ineffective in complement activation, while retaining its ability to induce apoptosis. The identified IgG1 Fc backbones provide a novel platform for the generation of therapeutics with enhanced effector functions that only become activated upon binding to target cell-expressed antigen.