Schedule-dependent cytotoxicity of sunitinib and TRAIL in human non-small cell lung cancer cells with or without EGFR and KRAS mutations

Multi-center validation of an immune-related lncRNA signature for predicting survival and immune status of patients with renal cell carcinoma: an integrating machine learning-derived study

BACKGROUND

Long noncoding RNAs (lncRNAs) have been reported to play an important role in tumor immune modification. Nonetheless, the clinical implication of immune-associated lncRNAs in renal cell carcinoma (RCC) remains to be further explored.

METHODS

76 combinations of machine learning algorithms were integrated to develop and validate a machine learning-derived immune-related lncRNA signature (MDILS) in five independent cohorts (n = 801). We collected 28 published signatures and collated clinical variables for comparison with MDILS to verify its efficacy. Subsequently, molecular mechanisms, immune status, mutation landscape, and pharmacological profile were further investigated in different stratified patients.

RESULTS

Patients with high MDILS displayed worse overall survival than those with low MDILS. The MDILS could independently predict overall survival and convey robust performance across five cohorts. MDILS has a significantly better performance compared with traditional clinical variables and 28 published signatures. Patients with low MDILS exhibited more abundant immune infiltration and higher potency of immunotherapeutic response, while patients with high MDILS might be more sensitive to multiple chemotherapeutic drugs (e.g., sunitinib and axitinib).

CONCLUSION

MDILS is a robust and promising tool to facilitate clinical decision-making and precision treatment of RCC.

Repositioning Quinacrine Toward Treatment of Ovarian Cancer by Rational Combination With TRAIL

Quinacrine has been identified as a potent DR5-inducing agent that sensitizes cancer cells to TRAIL-induced apoptosis. In the current study, we found that quinacrine increased DR5 mRNA levels significantly in ovarian cancer cell lines regardless of p53 status. Further study showed the half-life of DR5 in quinacrine-treated cells was significantly prolonged, indicating that DR5 protein degradation was inhibited by quinacrine. We tested if the combination of TRAIL and quinacrine could be effective in ovarian cancer treatment in vitro and in ovarian cancer xenograft mouse models. We found that quinacrine enhanced TRAIL sensitivity or reversed TRAIL resistance in all the ovarian cancer cell lines tested. Mice treated with quinacrine and TRAIL remained disease-free for up to 20 weeks, however, mice treated with TRAIL or quinacrine alone and in control group died within ~8 weeks after treatment. Intraperitoneal delivery of quinacrine and TRAIL is rational and practical with extraordinary synergistic anti-cancer effects in preclinical models of ovarian cancer. Clinical investigation of combining quinacrine with TRAIL for ovarian cancer treatment is warranted.

Chitosan Hydrogels for Synergistic Delivery of Chemotherapeutics to Triple Negative Breast Cancer Cells and Spheroids

PURPOSE

This study aimed to develop a hydrogel system for treating aggressive triple negative breast cancer (TNBC) via kinetically-controlled delivery of the synergistic drug pair doxorubicin (DOX) and gemcitabine (GEM). A 2D assay was adopted to evaluate therapeutic efficacy by determining combination index (CI), and a 3D assay using cancer spheroids was implemented to assess the potential for translation in vivo.

METHODS

The release of DOX and GEM from an acetylated-chitosan (ACS, degree of acetylation χAc = 40 ± 5%) was characterized to identify a combined drug loading that affords release kinetics and dose that are therapeutically synergistic. The selected DOX/GEM-ACS formulation was evaluated in vitro with 2-D and 3-D models of TNBC to determine the combination index (CI) and the tumor volume reduction, respectively.

RESULTS

Therapeutically desired release dosages and kinetics of GEM and DOX were achieved. When evaluated with a 2-D model of TNBC, the hydrogel afforded a CI of 0.14, indicating a stronger synergism than concurrent administration of DOX and GEM (CI = 0.23). Finally, the therapeutic hydrogel accomplished a notable volume reduction of the cancer spheroids (up to 30%), whereas the corresponding dosages of free drugs only reduced growth rate.

CONCLUSIONS

The ACS hydrogel delivery system accomplishes drug release kinetics and molar ratio that affords strong therapeutically synergism. These results, in combination with the choice of ACS as affordable and highly abundant source material, provide a strong pre-clinical demonstration of the potential of the proposed system for complementing surgical resection of aggressive solid tumors.

Modified gaphene oxide (GO) particles in peptide hydrogels: a hybrid system enabling scheduled delivery of synergistic combinations of chemotherapeutics

The scheduled delivery of synergistic drug combinations is increasingly recognized as highly effective against advanced solid tumors. Of particular interest are composite systems that release a sequence of drugs with defined kinetics and molar ratios to enhance therapeutic effect, while minimizing the dose to patients. In this work, we developed a homogeneous composite comprising modified graphene oxide (GO) nanoparticles embedded in a Max8 peptide hydrogel, which provides controlled kinetics and molar ratios of release of doxorubicin (DOX) and gemcitabine (GEM). First, modified GO nanoparticles (tGO) were designed to afford high DOX loading and sustained release (18.9% over 72 h and 31.4% over 4 weeks). Molecular dynamics simulations were utilized to model the mechanism of DOX loading as a function of surface modification. In parallel, a Max8 hydrogel was developed to release GEM with faster kinetics and achieve a 10-fold molar ratio to DOX. The selected DOX/tGO nanoparticles were suspended in a GEM/Max8 hydrogel matrix, and the resulting composite was tested against a triple negative breast cancer cell line, MDA-MB-231. Notably, the composite formulation afforded a combination index of 0.093 ± 0.001, indicating a much stronger synergism compared to the DOX-GEM combination co-administered in solution (CI = 0.396 ± 0.034).

Glucosidase II beta subunit (GluIIβ) plays a role in autophagy and apoptosis regulation in lung carcinoma cells in a p53-dependent manner

PURPOSE

Glucosidase II plays a major role in regulating the post-translational modification of N-linked glycoproteins. Previously, we found that the beta subunit of glucosidase II (GluIIβ) levels are significantly increased in lung carcinoma tissues, indicating a potential role in lung tumorigenesis. Here, we investigated the role of GluIIβ in the regulation of autophagy and apoptosis in lung carcinoma- and immortalized human bronchial epithelial-derived cells.

METHODS

A selective glucosidase II inhibitor, bromoconduritol, was used to inhibit GluII enzyme activity and a siRNA-based technology was used to suppress the expression of the GluIIβ encoding gene PRKCSH in lung carcinoma cells differing in p53 status. Cell viability was assessed using a MTT assay, cell cycle progression was assessed using flow cytometry, autophagy was assessed using Western blotting and apoptosis was assessed using an annexin V-FITC/PI double labeling method.

RESULTS

We found that GluIIβ inhibition resulted in the induction of autophagy in all cell lines tested, but apoptosis in only wild-type p53 cells. We also found that GluIIβ inhibition dose-dependently decreased activation of the EGFR/RTK and PI3K/AKT signaling pathways. Although the apoptosis inducing effect of GluIIβ inhibition appeared to be p53-dependent, we found that a combined treatment with lysosomal inhibitors to block autophagy enhanced the apoptotic effect of GluIIβ inhibition in both wild-type p53 and p53-null cells.

CONCLUSIONS

Our data indicate that GluIIβ inhibition results in autophagy and apoptosis in lung carcinoma-derived cells, supporting the hypothesis that this enzyme may play a role in blocking these two tumor suppressive processes. Since blocking autophagy by lysosomal inhibitors enhanced the apoptosis-inducing effect of bromoconduritol, independent of p53 status, their combined use may hold promise for the treatment of cancer, particularly lung cancer.

Suppression of a cancer stem-like phenotype mediated by alpha-lipoic acid in human lung cancer cells through down-regulation of β-catenin and Oct-4

PURPOSE

Cancer stem cells (CSCs) that possess the ability of self-renewal and multi-potency have been shown to drive tumor progression and metastasis. The majority of recent studies has focused on potential molecules targeting CSCs so as to develop novel strategies for efficient cancer treatment or protection. Here, we show how alpha-lipoic acid (LA), an endogenous mitochondrial anti-oxidant, affects the CSC-like phenotypes of human non-small cell lung cancer-derived H23, H292 and H460 cells.

METHODS

CSC-like phenotypes were verified by anchorage-independent growth, three-dimensional (3D) spheroid formation and the expression of CSC markers. Enriched CSC populations were used to confirm the effects of LA. Protein ubiquitination and degradation were assessed using immunoprecipitation.

RESULTS

We found that treatment with LA reduced the CSC-like phenotype, as indicated by a decreased expression of known CSC markers (CD133, CD44, ALDH1A1, Oct-4 and Nanog) in H460 cells. In addition, we found that LA reduced the CSC-related abilities of anchorage-independent growth and 3D spheroid formation, and suppressed factors related to epithelial-mesenchymal transition, such as E-cadherin, Vimentin, Slug and Snail. Mechanistically, we found that LA suppresses CSC through depletion of the cellular stemness proteins β-catenin and Oct-4 via decreasing the level of active (phosphorylated) Akt. This resulted in the induction of GSK3β-dependent β-catenin ubiquitin-proteasomal degradation and a decrease in the stabilized (phosphorylated) form of Oct-4. The effects of LA on the CSC-like phenotypes were confirmed in CSC enriched H460, H292 and H23 non-small cell lung cancer-derived cells.

CONCLUSION

Our data are indicative for a novel regulatory role and underlying mechanism of LA in the negative regulation of a CSC-like phenotype in non-small cell lung cancer-derived cells.

MDMX is a prognostic factor for non-small cell lung cancer and regulates its sensitivity to cisplatin

PURPOSE

Chemoradiotherapy is the standard treatment modality for advanced non-small cell lung cancer (NSCLC). However, drug and radiation resistance remain major factors influencing its clinical outcome. The purpose of this study was to evaluate whether MDMX can affect the chemosensitivity and clinical outcome of NSCLC.

METHODS

Quantitative real-time PCR (qRT-PCR) was performed to assess MDMX mRNA expression levels in 105 primary NSCLC tissues, its corresponding non-cancerous tissues and two NSCLC-derived cell lines (A549 and SK-MES-1). In addition, immunohistochemistry was carried out to detect MDMX protein expression in the primary NSCLC tissues. The MDMX expression levels were correlated with clinicopathological and survival features. The effects of MDMX expression knockdown on NSCLC cell proliferation and chemosensitivity were evaluated using MTT, flow cytometry and soft agar colony assays.

RESULTS

We found that the mRNA expression level of MDMX in NSCLC tissues was significantly higher than that in its corresponding non-tumorous tissues. High MDMX expression was found to be related to poor tumor cell differentiation, advanced TNM stages and the occurrence of lymph node metastases. Patients with a high MDMX expression level exhibited a lower overall survival rate than those with a low expression level. Multivariate analysis showed that a high MDMX protein expression level may serve as an independent prognostic factor for NSCLC patients. In addition, we found that MDMX expression knockdown combined with cisplatin treatment in vitro significantly increased apoptosis and decreased soft agar colony formation in NSCLC-derived cells.

CONCLUSIONS

Our data indicate that MDMX expression may serve as an independent unfavorable prognostic factor for NSCLC patient outcome, which in turn may at least partly be due to the ability of the MDMX protein to regulate the proliferative capacity and chemosensitivity of NSCLC cells.

Fed-batch production of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) in soluble form in Escherichia coli and its purification and characterization

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a promising anticancer agent. The aim of this study is to produce large quantities of highly pure and bioactive recombinant human TRAIL. Here, TRAIL was expressed in soluble form by pH-stat fed-batch cultivation and purified using a rapid and simple two-step chromatographic procedure. To improve the soluble yield, expression of TRAIL in Escherichia coli was induced with low IPTG concentration (0.1 mM) at low temperature (28 °C) supplemented with ZnSO4 (0.5 mM), using glycerol as carbon source. Under the optimized conditions, 4.14 ± 0.19 g/L of TRAIL in soluble form was achieved at 19 h without pure oxygen. To purify the recombinant TRAIL, we developed an efficient two-step chromatographic procedure including affinity chromatography and cation-exchange chromatography, especially improved the cation-exchange chromatography using a combination of pH and NaCl gradients strategy. Consequently, 4313.5 mg of target protein with high purity (98.1%) was obtained from 2.3 L of cell broth. Our results also showed that the purified TRAIL was with ordered secondary and tertiary structures, in homogeneous form and with strong cytotoxicity.