17 research outputs found
Multi-Institutional experience with FOLFIRINOX in pancreatic adenocarcinoma
Combination chemotherapy with FOLFIRINOX (oxaliplatin, irinotecan, fluorouracil, and leucovorin) was shown to be effective in a large phase III trial.
The purpose of this study was to examine the tolerance and effectiveness of FOLFIRINOX as practiced outside of the confines of a clinical trial and to document any dose modifications used by practicing oncologists.
Data on patients with all stages of pancreatic adenocarcinoma treated with FOLFIRINOX at three institutions was analyzed for efficacy, tolerance, and use of any dose modifications.
Total of 61 patients was included in this review. Median age was 58 years (range: 37 to 72 years), 33 were male (54.1%) and majority had ECOG performance of 0 or 1 (86.9%, 53 patients). Thirty-eight (62.3%) had metastatic disease, while 23 (37.7%) were treated for locally advanced or borderline resectable disease. Patients were treated with a median number of four cycles of FOLFIRINOX, with dose modifications in 58.3% (176/302) of all cycles. Ten patients had stable disease (16.4%), four had a partial response (6.6%) while eight had progressive disease (13.1%) on best imaging following therapy. Median progression-free survival and overall survival were 7.5 months and 13.5 months, respectively. The most common grade 3-4 adverse event was neutropenia at 19.7% (12 cases), with 4.9% (3 cases) rate of febrile neutropenia. Twenty-one patients (34.4%) were hospitalized as a result of therapy but there were no therapy-related deaths. Twenty-three (37.7%) had therapy eventually discontinued as a result of adverse events.
Despite substantial rates of adverse events and use of dose modifications, FOLFIRINOX was found to be clinically effective in both metastatic and non-metastatic patients. Regimen toxicity did not detract from overall response and survival
The excess insulin requirement in severe COVIDâ19 compared to nonâCOVIDâ19 viral pneumonitis is related to the severity of respiratory failure and preâexisting diabetes
Funder: National Institute of Health Research Academic Clinical FellowshipAbstract: Introduction: Severe COVIDâ19 has been anecdotally associated with high insulin requirements. It has been proposed that this may be driven by a direct diabetogenic effect of the virus that is unique to SARSâCoVâ2, but evidence to support this is limited. To explore this, we compared insulin requirements in patients with severe COVIDâ19 and nonâCOVIDâ19 viral pneumonitis. Methods: This is a retrospective cohort study of patients with severe COVIDâ19 admitted to our intensive care unit between March and June 2020. A historical control cohort of nonâCOVIDâ19 viral pneumonitis patients was identified from routinely collected audit data. Results: Insulin requirements were similar in patients with COVIDâ19 and nonâCOVIDâ19 viral pneumonitis after adjustment for preâexisting diabetes and severity of respiratory failure. Conclusions: In this singleâcentre study, we could not find evidence of a unique diabetogenic effect of COVIDâ19. We suggest that high insulin requirements in this disease relate to its propensity to cause severe respiratory failure in patients with preâexisting metabolic disease
The Airway Microbiota in Cystic Fibrosis: A Complex Fungal and Bacterial CommunityâImplications for Therapeutic Management
International audienceBackground Given the polymicrobial nature of pulmonary infections in patients with cystic fibrosis (CF), it is essential to enhance our knowledge on the composition of the microbial community to improve patient management. In this study, we developed a pyrosequencing approach to extensively explore the diversity and dynamics of fungal and prokaryotic populations in CF lower airways. Methodology and Principal Findings Fungi and bacteria diversity in eight sputum samples collected from four adult CF patients was investigated using conventional microbiological culturing and high-throughput pyrosequencing approach targeting the ITS2 locus and the 16S rDNA gene. The unveiled microbial community structure was compared to the clinical profile of the CF patients. Pyrosequencing confirmed recently reported bacterial diversity and observed complex fungal communities, in which more than 60% of the species or genera were not detected by cultures. Strikingly, the diversity and species richness of fungal and bacterial communities was significantly lower in patients with decreased lung function and poor clinical status. Values of Chao1 richness estimator were statistically correlated with values of the Shwachman-Kulczycki score, body mass index, forced vital capacity, and forced expiratory volume in 1 s (p = 0.046, 0.047, 0.004, and 0.001, respectively for fungal Chao1 indices, and p = 0.010, 0.047, 0.002, and 0.0003, respectively for bacterial Chao1 values). Phylogenetic analysis showed high molecular diversities at the sub-species level for the main fungal and bacterial taxa identified in the present study. Anaerobes were isolated with Pseudomonas aeruginosa, which was more likely to be observed in association with Candida albicans than with Aspergillus fumigatus
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Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis.
Peer reviewed: TrueDeep neural networks are complex machine learning models that have shown promising results in analyzing high-dimensional data such as those collected from medical examinations. Such models have the potential to provide fast and accurate medical diagnoses. However, the high complexity makes deep neural networks and their predictions difficult to understand. Providing model explanations can be a way of increasing the understanding of "black box" models and building trust. In this work, we applied transfer learning to develop a deep neural network to predict sex from electrocardiograms. Using the visual explanation method Grad-CAM, heat maps were generated from the model in order to understand how it makes predictions. To evaluate the usefulness of the heat maps and determine if the heat maps identified electrocardiogram features that could be recognized to discriminate sex, medical doctors provided feedback. Based on the feedback, we concluded that, in our setting, this mode of explainable artificial intelligence does not provide meaningful information to medical doctors and is not useful in the clinic. Our results indicate that improved explanation techniques that are tailored to medical data should be developed before deep neural networks can be applied in the clinic for diagnostic purposes
Damaging mutations in LXR$ uncouple lipogenesis from hepatotoxicity and implicate hepatic cholesterol sensing in human liver health
The nuclear receptor Liver X Receptor-α (LXRα) activates lipogenic gene expression in hepatocytes. Its inhibition has therefore been proposed as a strategy to treat metabolic-dysfunction-associated steatotic liver disease (MASLD). In order to understand the impact of reducing LXRα activity on human health we first examined the association between the carriage of rare loss of function mutations in NR1H3 (encoding LXRα) and metabolic and hepatic phenotypes. We identified 63 rare predicted damaging variants in the ligand binding domain of LXRα in 454,787 participants in UK Biobank. On functional characterisation, 42 of these were found to be severely impaired. Consistent with loss of the lipogenic actions of LXRα, carriers of damaging mutations in LXRα had reduced serum triglycerides (Ă=-0.13 s.d. ±0.03, P=2.7x10-5, N(carriers)=971). Surprisingly, these carriers also had elevated concentrations of serum liver enzymes (e.g. ALT: Ă=0.17s.d. ±0.03, P=1.1x10-8, N(carriers)=972) with a 35% increased risk of clinically significant elevations in ALT (OR=1.32, 95%CI:1.15-1.53, P=1.2x10-4, N(carriers)=972), suggestive of hepatotoxicity. We generated a knock-in mouse carrying one of the most severely damaging mutations (Nr1h3 p.W441R) which we demonstrated to have dominant negative properties. Homozygous knock-in mice rapidly developed severe hepatitis and fibrotic liver injury following exposure to western diet despite markedly reduced steatosis, liver triglycerides and lipogenic gene expression. This phenotype was completely rescued by viral over-expression of wildtype LXRα specifically in hepatocytes, indicating a cell-autonomous effect of the mutant on hepatocyte health. While homozygous LXRα knockout mice showed some evidence of hepatocyte injury under similar dietary conditions, the phenotype of the LXRαW441R/W441R mouse was much more severe, suggesting that dominant negative mutations that actively co-repress target genes can result in pathological impacts significantly more severe than those seen with simple absence of the receptor. In summary, our results show that loss of function mutations in LXRα occur in at least 1/450 people and are associated with evidence of liver dysfunction. These findings implicate LXRα in the maintenance of human liver health, identify a new murine model of rapidly progressive fibrotic liver disease and caution against LXR antagonism as a therapeutic strategy for MASLD
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Phase 1b/2 study of margetuximab (M) plus pembrolizumab (P) in advanced HER2+ gastroesophageal junction (GEJ) or gastric (G) adenocarcinoma (GEA)
140 Background: Trastuzumab (T) + chemotherapy (ctx) is standard for 1st line advanced HER2+ GEA, yet subsequent targeted options are lacking. M is an anti-Her 2 monoclonal antibody with an optimized Fc domain to increase affinity for activating CD16A Fc-receptors (FcR) on NK cells. Outcomes for T-treated patients (pts) carrying the low-affinity CD16A-F allele are generally worse than pts homozygous for the high-affinity V allele. M is designed to be FcR genotype independent. Evidence of clinical activity of M alone has been seen in HER2+ GEA pts post T, while P has demonstrated durable activity. Loss of HER2 amplification may occur after T failure in a subset of initially HER2+ GEA pts. Preclinical studies suggest that engagement of innate and adaptive immunity with the combination of anti-HER-2 antibodies and T-cell checkpoint inhibition could achieve greater antitumor activity than either agent alone. Methods: Advanced HER2+, PD-L1-unselected GEA pts post T failure were eligible. Dose escalation evaluated 10 and 15 mg/kg M and 200 mg P for 2nd line or higher pts. Cohort expansion evaluates safety and objective response rate (ORR) by RECIST v1.1 in 2nd line pts. M + P is given every 21 days; response assessed every 6 weeks. HER2 amplification status was assessed in a subset of pts by plasma circulating tumor (ct) DNA analysis prior to Cycle 1 of M+P. Results: Dose escalation enrolled 9 pts; cohort expansion 48 pts at 15 mg/kg M: 30 in North America (NA) and 18 in Asia (A). Treatment was well tolerated, with 1 drug-related serious adverse event. Of 38 evaluable pts to date in expansion (24 NA and 14 A), the best overall responses include 7 pts (18.4%) with PR (4 confirmed and 3 unconfirmed) and 11 (28.9%) with SD. Higher ORR trends were observed in A vs NA (35.7% vs 8.3%) and G vs GEJ (31.6% vs 5.3%). Of 25 pts with ctDNA results, HER2 amplification detection was higher in GC than GEJ (80% vs 53%). Responses were independent of FcR genotype; CD16A genotype for evaluable pts with PR: 1 V/V, 2 V/F, 2 F/F with similar allelic distribution among non-responders. Conclusions: M+P is a well-tolerated ctx-free regimen that has shown preliminary antitumor activity in 2nd line pts with advanced/metastatic GEA. Clinical trial information: NCT02689284