Summary Background Endogenous or iatrogenic antitumour immune responses can improve the course of follicular lymphoma, but might be diminished by immune checkpoints in the tumour microenvironment. ...These checkpoints might include effects of programmed cell death 1 (PD1), a co-inhibitory receptor that impairs T-cell function and is highly expressed on intratumoral T cells. We did this phase 2 trial to investigate the activity of pidilizumab, a humanised anti-PD1 monoclonal antibody, with rituximab in patients with relapsed follicular lymphoma. Methods We did this open-label, non-randomised trial at the University of Texas MD Anderson Cancer Center (Houston, TX, USA). Adult (≥18 years) patients with rituximab-sensitive follicular lymphoma relapsing after one to four previous therapies were eligible. Pidilizumab was administered at 3 mg/kg intravenously every 4 weeks for four infusions, plus eight optional infusions every 4 weeks for patients with stable disease or better. Starting 17 days after the first infusion of pidilizumab, rituximab was given at 375 mg/m2 intravenously weekly for 4 weeks. The primary endpoint was the proportion of patients who achieved an objective response (complete response plus partial response according to Revised Response Criteria for Malignant Lymphoma). Analysis was by intention to treat. This trial is registered with ClinicalTrials.gov , number NCT00904722. Findings We enrolled 32 patients between Jan 13, 2010, and Jan 20, 2012. Median follow-up was 15·4 months (IQR 10·1–21·0). The combination of pidilizumab and rituximab was well tolerated, with no autoimmune or treatment-related adverse events of grade 3 or 4. The most common adverse events of grade 1 were anaemia (14 patients) and fatigue (13 patients), and the most common adverse event of grade 2 was respiratory infection (five patients). Of the 29 patients evaluable for activity, 19 (66%) achieved an objective response: complete responses were noted in 15 (52%) patients and partial responses in four (14%). Interpretation The combination of pidilizumab plus rituximab is well tolerated and active in patients with relapsed follicular lymphoma. Our results suggest that immune checkpoint blockade is worthy of further study in follicular lymphoma. Funding National Institutes of Health, Leukemia and Lymphoma Society, Cure Tech, and University of Texas MD Anderson Cancer Center.
Abstract Antioxidants have potentials to treat hypoxia-mediated oxidative stress related diseases. However, their therapeutic efficacy is restricted due to its poor cellular uptake efficiency and ...poor cell membrane permeability. To resolve these issues, we prepare the hydroxyethylated chitosan nanoparticles as drug carriers for the delivery of 6-hydroxy-2, 5, 7, 8-tetramethylchroman-2-carboxylic acid (Trolox), which was considered as a model compound. The experiment on cellular uptake and subcellular localization of Trolox-loaded chitosan nanoparticles (Trolox-CSNPs) indicate that Trolox-CSNPs enter the cells via the caveolae-mediated endocytosis pathway and traffic with endosomes. Furthermore, compared with Trolox, Trolox-CSNPs exert a higher protective effect against the hypoxia-mediated oxidative stress. Molecular basis of apoptosis study reveals that Trolox-CSNPs can directly block the mitochondria dependent apoptotic pathway through up-regulation of Bcl-2 expression and inhibiting the activation of Bax, Caspase-3 expression. In conclusion, the hydroxyethylated chitosan is a promising drug nanocarrier to deliver antioxidants for the treatment of hypoxia-mediated disease. From the Clinical Editor Antioxidants are potentially beneficial in oxidative stress-related diseases, although cellular uptake of most antioxidants is suboptimal. In this study, hydroxyethylated chitosan nanoparticles are demonstrated as promising drug carriers in a Trolox-model system.
Acquired long QT syndrome (ALQTS) has long been overlooked in clinical practice. Recent studies reported that severe ALQTS (QTc ≥500 ms) in hospitalized patients is associated with increased ...all-cause mortality.
The purpose of this study was to determine the role of ALQTS in the clinical outcomes of hospitalized patients.
Electronic medical records were reviewed to identify severe ALQTS in hospitalized patients in a single study center from September 1, 2013, to February 28, 2014. Up to 1-year follow-up was conducted in the ALQTS subjects and compared with age-, gender-, and admitting diagnosis-matched hospitalized patients with a normal QT interval.
Severe ALQTS (QTc 529 ± 38 ms) was seen in 0.7% (293/41,649) of hospitalized patients, of whom 86% were treated in noncardiology departments. All-cause mortality was 32% in the ALQTS group vs 14% in the control group (P <.001) during follow-up of 255 ± 63 days. Syncope and life-threatening ventricular arrhythmia were more frequent in patients with severe ALQTS (6% vs 0.6%, P <.0001). Cerebral hemorrhage (odds ratio OR 6.405, 95% confidence interval CI 2.341-17.525), cancer (OR 5.937, 95% CI 2.658-13.260), infection (OR 2.207, 95% CI 1.124-4.333), and end-stage disease (OR 2.092, 95% CI 1.045-4.191) are the major contributors to all-cause mortality in ALQTS.
Severe ALQTS is not uncommon in hospitalized patients. It can be easily overlooked because the majority of patients with severe ALQTS are treated in noncardiology departments. The clinical outcome of severe ALQTS is poor. Removing QT-prolonging factors may reduce the risks of fatal arrhythmia and sudden death in patients with ALQTS.
Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recognition tasks; therefore, we aimed to develop a deep ...convolutional neural network (DCNN) model that automates evaluation of ultrasound images and to facilitate a more accurate diagnosis of ovarian cancer than existing methods.
In this retrospective, multicentre, diagnostic study, we collected pelvic ultrasound images from ten hospitals across China between September 2003, and May 2019. We included consecutive adult patients (aged ≥18 years) with adnexal lesions in ultrasonography and healthy controls and excluded duplicated cases and patients without adnexa or pathological diagnosis. For DCNN model development, patients were assigned to the training dataset (34 488 images of 3755 patients with ovarian cancer, 541 442 images of 101 777 controls). For model validation, patients were assigned to the internal validation dataset (3031 images of 266 patients with ovarian cancer, 5385 images of 602 with benign adnexal lesions), external validation datasets 1 (486 images of 67 with ovarian cancer, 933 images of 268 with benign adnexal lesions), and 2 (1253 images of 166 with ovarian cancer, 5257 images of 723 benign adnexal lesions). Using these datasets, we assessed the diagnostic value of DCNN, compared DCNN with 35 radiologists, and explored whether DCNN could augment the diagnostic accuracy of six radiologists. Pathological diagnosis was the reference standard.
For DCNN to detect ovarian cancer, AUC was 0·911 (95% CI 0·886–0·936) in the internal dataset, 0·870 (95% CI 0·822–0·918) in external validation dataset 1, and 0·831 (95% CI 0·793–0·869) in external validation dataset 2. The DCNN model was more accurate than radiologists at detecting ovarian cancer in the internal dataset (88·8% vs 85·7%) and external validation dataset 1 (86·9% vs 81·1%). Accuracy and sensitivity of diagnosis increased more after DCNN-assisted diagnosis than assessment by radiologists alone (87·6% 85·0–90·2 vs 78·3% 72·1–84·5, p<0·0001; 82·7% 78·5–86·9 vs 70·4% 59·1–81·7, p<0·0001). The average accuracy of DCNN-assisted evaluations for six radiologists reached 0·876 and were significantly augmented when they were DCNN-assisted (p<0·05).
The performance of DCNN-enabled ultrasound exceeded the average diagnostic level of radiologists matched the level of expert ultrasound image readers, and augmented radiologists’ accuracy. However, these observations warrant further investigations in prospective studies or randomised clinical trials.
National Key Basic Research Program of China, National Sci-Tech Support Projects, and National Natural Science Foundation of China.
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