Monitoring of asparagine depletion and anti-L-asparaginase antibodies in adult acute lymphoblastic leukemia treated in the pediatric-inspired GRAALL-2005 trial

Protein re-surfacing of E. coli L-Asparaginase to evade pre-existing anti-drug antibodies and hypersensitivity responses

The optimal use of many biotherapeutics is restricted by Anti-drug antibodies (ADAs) and hypersensitivity responses which can affect potency and ability to administer a treatment. Here we demonstrate that Re-surfacing can be utilized as a generalizable approach to engineer proteins with extensive surface residue modifications in order to avoid binding by pre-existing ADAs. This technique was applied to E. coli Asparaginase (ASN) to produce functional mutants with up to 58 substitutions resulting in direct modification of 35% of surface residues. Re-surfaced ASNs exhibited significantly reduced binding to murine, rabbit and human polyclonal ADAs, with a negative correlation observed between binding and mutational distance from the native protein. Reductions in ADA binding correlated with diminished hypersensitivity responses in an in vivo mouse model. By using computational design approaches to traverse extended distances in mutational space while maintaining function, protein Re-surfacing may provide a means to generate novel or second line therapies for life-saving drugs with limited therapeutic alternatives.

Microbial production, molecular modification, and practical application of l-Asparaginase: A review

L-Asparaginase (L-ASNase, EC 3.5.1.1), an antitumor drug for acute lymphoblastic leukemia (ALL) therapy, is widely used in the clinical field. Similarly, L-ASNase is also a powerful and significant biological tool in the food industry to inhibit acrylamide (AA) formation. This review comprehensively summarizes the latest achievements and improvements in the production, modification, and application of microbial L-ASNase. To date, the expression levels and optimization of expression hosts such as Escherichia coli, Bacillus subtilis, and Pichia pastoris, have made significant progress. In addition, examples of successful modification of L-ASNase such as decreasing glutaminase activity, increasing the in vivo stability, and enhancing thermostability have been presented. Impressively, the application of L-ASNase as a food addition aid, as well as its commercialization in the pharmaceutical field, and cutting-edge biosensor application developments have been summarized. The presented results and proposed ideas could be a good guide for other L-ASNase researchers in both scientific and practical fields.

Metabolomic biomarkers in cervicovaginal fluid for detecting endometrial cancer through nuclear magnetic resonance spectroscopy

INTRODUCTION

Endometrial cancer (EC) is one of the most common gynecologic neoplasms in developed countries but lacks screening biomarkers.

OBJECTIVES

We aim to identify and validate metabolomic biomarkers in cervicovaginal fluid (CVF) for detecting EC through nuclear magnetic resonance (NMR) spectroscopy.

METHODS

We screened 100 women with suspicion of EC and benign gynecological conditions, and randomized them into the training and independent testing datasets using a 5:1 study design. CVF samples were analyzed using a 600-MHz NMR spectrometer equipped with a cryoprobe. Four machine learning algorithms-support vector machine (SVM), partial least squares discriminant analysis (PLS-DA), random forest (RF), and logistic regression (LR), were applied to develop the model for identifying metabolomic biomarkers in cervicovaginal fluid for EC detection.

RESULTS

A total of 54 women were eligible for the final analysis, with 21 EC and 33 non-EC. From 29 identified metabolites in cervicovaginal fluid samples, the top-ranking metabolites chosen through SVM, RF and PLS-DA which existed in independent metabolic pathways, i.e. phosphocholine, malate, and asparagine, were selected to build the prediction model. The SVM, PLS-DA, RF, and LR methods all yielded area under the curve values between 0.88 and 0.92 in the training dataset. In the testing dataset, the SVM and RF methods yielded the highest accuracy of 0.78 and the specificity of 0.75 and 0.80, respectively.

CONCLUSION

Phosphocholine, asparagine, and malate from cervicovaginal fluid, which were identified and independently validated through models built using machine learning algorithms, are promising metabolomic biomarkers for the detection of EC using NMR spectroscopy.

[Efficacy of Hyper-CVAD/MA and CHALL-01 regimens in the treatment of Philadelphia chromosome-positive adult acute lymphoblastic leukemia patients under 60 years old]

Objective: To compare the difference of efficacy between traditional Hyper-CVAD/MA regimen and the adolescents inspired chemotherapy regimen, CH ALL-01, in treatment of adult Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph(+) ALL) . Methods: In this study we retrospectively analyzed 158 Ph(+) ALL patients receiving Hyper-CVAD/MA regimen (n=63) or CHALL-01 regimen (n=95) in our center and Changzheng hospital from January 2007 to December 2017, excluding patients with chronic myeloid leukemia in blast crisis. Tyrosine kinase inhibitor (TKI) was administered during induction and consolidation chemotherapy. Patients who underwent hematopoietic stem cell transplantation received TKI as maintenance therapy. Results: Of them, 91.1% (144/158) patients achieved complete remission (CR) after 1-2 courses of induction. CR rate was 90.5% (57/63) for patients in Hyper-CVAD/MA group and 91.6% (87/95) for patients in CHALL-01 group. There was no difference in CR rates between the two groups (χ(2)=0.057, P=0.811) . The last follow-up was June 2018. A cohort of 134 CR patients could be used for further analysis, among them, 53 patients received Hyper-CVAD/MA regimen and other 81 patients received CHALL-01 regimen. The molecular remission rates were significantly higher in CHALL-01 group (complete molecular response: 44.4%vs 22.6%; major molecular response: 9.9% vs 18.9%) (χ(2)=7.216, P=0.027) . For the patients in Hyper-CVAD/MA group, the 4-year overall survival (OS) was 44.81% (95%CI: 30.80%-57.86%) and the 4-year disease free survival (DFS) was 37.95% (95%CI: 24.87%-50.93%) . For patients received CHALL-01 regimen, the 4-year OS was 55.63% (95%CI: 39.07%-69.36%) (P=0.037) and 4 year DFS was 49.06% (95%CI: 34.24%-62.29%) (P=0.015) , while there was no significant difference in 4 year cumulative incidence of relapse (CIR) (P=0.328) or cumulative incidence of nonrelapse mortality (CI-NRM) (P=0.138) . The rate of pulmonary infection was lower in patients received CHALL-01 regimen compared with patients received Hyper-CVAD regimen (43.4% vs 67.9%, χ(2)=7.908, P=0.005) . Conclusions: Outcome with CHALL-01 regimen appeared better than that with the Hyper-CVAD/MA regimen in Ph(+) ALL, which has lower incidence of pulmonary infection, higher molecular remission rate and better OS and DFS.