Targeting translation regulators improves cancer therapy.

Deregulation of protein synthesis may be involved in multiple aspects of cancer, such as gene expression, signal transduction and drive specific cell biological responses, resulting in promoting cancer growth, invasion and metastasis. Study the molecular mechanisms about translational control may help us to find more effective anti-cancer drugs and develop novel therapeutic opportunities. Recently, the researchers had focused on targeting translational machinery to overcome cancer, and various small molecular inhibitors targeting translation factors or pathways have been tested in clinical trials and exhibited improving outcomes in several cancer types. There is no doubt that an insight into the class of translation regulation protein would provide new target for pharmacologic intervention and further provide opportunities to develop novel anti-tumor therapeutic interventions. In this review, we summarized the developments of translational control in cancer survival and progression et al, and highlighted the therapeutic approach targeted translation regulation to overcome the cancer.

MASS SPECTROMETRY-BASED PERSONALIZED DRUG THERAPY.

Personalized drug therapy aims to provide tailored treatment for individual patient. Mass spectrometry (MS) is revolutionarily involved in this area because MS is a rapid, customizable, cost-effective, and easy to be used high-throughput method with high sensitivity, specificity, and accuracy. It is driving the formation of a new field, MS-based personalized drug therapy, which currently mainly includes five subfields: therapeutic drug monitoring (TDM), pharmacogenomics (PGx), pharmacomicrobiomics, pharmacoepigenomics, and immunopeptidomics. Gas chromatography-MS (GC-MS) and liquid chromatography-MS (LC-MS) are considered as the gold standard for TDM, which can be used to optimize drug dosage. Matrix-assisted laser desorption ionization-time of flight-MS (MALDI-TOF-MS) significantly improves the capability of detecting biomacromolecule, and largely promotes the application of MS in PGx. It is becoming an indispensable tool for genotyping, which is used to discover and validate genetic biomarkers. In addition, MALDI-TOF-MS also plays important roles in identity of human microbiome whose diversity can explain interindividual differences of drug response. Pharmacoepigenetics is to study the role of epigenetic factors in individualized drug treatment. MS can be used to discover and validate pharmacoepigenetic markers (DNA methylation, histone modification, and noncoding RNA). For the emerging cancer immunotherapy, personalized cancer vaccine has effective immunotherapeutic activity in the clinic. MS-based immunopeptidomics can effectively discover and screen neoantigens. This article systematically reviewed MS-based personalized drug therapy in the above mentioned five subfields. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.

Response prediction biomarkers and drug combinations of PARP inhibitors in prostate cancer.

PARP inhibitors are a group of inhibitors targeting poly(ADP-ribose) polymerases (PARP1 or PARP2) involved in DNA repair and transcriptional regulation, which may induce synthetic lethality in BRCAness tumors. Systematic analyzes of genomic sequencing in prostate cancer show that ~10%-19% of patients with primary prostate cancer have inactivated DNA repair genes, with a notably higher proportion of 23%-27% in patients with metastatic castration-resistant prostate cancer (mCRPC). These characteristic genomic alterations confer possible vulnerability to PARP inhibitors in patients with mCRPC who benefit only modestly from other therapies. However, only a small proportion of patients with mCRPC shows sensitivity to PARP inhibitors, and these sensitive patients cannot be fully identified by existing response prediction biomarkers. In this review, we provide an overview of the potential response prediction biomarkers and synergistic combinations studied in the preclinical and clinical stages, which may expand the population of patients with prostate cancer who may benefit from PARP inhibitors.

Correction: Shao et al. AKT Axis, miR-21, and RECK Play Pivotal Roles in Dihydroartemisinin Killing Malignant Glioma Cells. Int. J. Mol. Sci. 2017, 18, 350.

The authors wish to make the following corrections to this paper [...].

LRP1 and APOA1 Polymorphisms: Impact on Warfarin International Normalized Ratio-Related Phenotypes.

Warfarin international normalized ratio (INR)-related phenotypes such as the percentage of INR time in the therapeutic range (PTTR) and INR variability are associated with warfarin adverse reactions. However, INR-related phenotypes greatly vary among patients, and the underlying mechanism remains unclear. As a key cofactor for coagulation proteins, vitamin K can affect warfarin INR values. The aim of this study was to address the influence of vitamin K-related single-nucleotide polymorphisms (SNPs) on warfarin INR-related phenotypes. A total of 262 patients who were new recipients of warfarin therapy and followed up for 3 months were enrolled. Twenty-nine SNPs were genotyped by matrix-assisted laser desorption/ionization time-of-flight mass array. Sixteen warfarin INR-related phenotypes were observed. After association analysis, 11 SNPs were significantly associated with at least one INR-related phenotype, and 6 SNPs were associated with at least 2 INR-related phenotypes (P < 0.05). In these SNPs, rs1800139, rs1800154, rs1800141, and rs486020 were the most representative. rs1800139, rs1800154, and rs1800141 locate in LRP1 and were found to be correlated with 1-month and 2-month INR variability (P < 0.05). Besides, the APOA1 rs486020 was significantly associated with the first month PTTR (P = 0.009), and patients with C-allele had higher PTTR than those with G-alleles almost during the entire monitoring period. In conclusion, the study revealed that the polymorphisms of LRP1 and APOA1 gene may play important roles in the variation of warfarin INR-related phenotypes. Our results provide new information for improving warfarin anticoagulation management.

Integrative analyses identify a DNA damage repair gene signature for prognosis prediction in lower grade gliomas.

Background: The DNA damage repair (DDR) pathways play important roles for regulating cancer progression and therapeutic response. IDH mutations, well-known prognosis biomarkers for glioma, lead to hypermethylation of tumor cells and affect genes' expression. Whether IDH mutations affect glioma prognosis through influencing the expression of DDR genes remains unclear. Methods: A total of 272 DDR genes were selected for differential expression and survival analysis. The identified genes were then utilized to construct the prognosis predicting model. Results: PARPBP, PLK3, POLL and WEE1 were found differential expressed between IDH mutations carriers and wild-type carriers, and were associated with survival of low grade glioma (LGG) patients. The predicting algorithm can predicts the prognosis of LGG patients. Conclusion: IDH mutations may affect LGG prognosis through regulation of DDR pathways.

The potentiation of menadione on imatinib by downregulation of ABCB1 expression.

Imatinib was the first BCR-ABL inhibitor used in clinical practice to treat chronic myeloid leukaemia (CML) and significantly improve the life expectancy of CML patients in the chronic phase. However, a portion of CML patients are resistant to imatinib. This study aimed to determine whether menadione (Vitamin K3) can improve imatinib efficacy in CML and to thoroughly explore the combination regimen mechanism between imatinib and menadione. Menadione improved imatinib efficacy in K562 cells by downregulating ABCB1 expression and increased the intracellular concentration of imatinib, which confirmed that this combination regimen is more effective than imatinib monotherapy. The results demonstrate that menadione and imatinib combination therapy may be a promising approach to refractory CML.

Correlating Transcriptional Networks to Acute Rejection in Human Kidney Transplant Biopsies.

Acute rejection (AR) in kidney transplants remains a major cause of allograft failure. This study investigates the association between gene networks and AR in human kidney transplant biopsies with weighted gene co-expression network analysis (WGCNA). The gene expression profiles of 403 (training set) and 702 (validation set) kidney transplant patients' biopsies were analyzed. WGCNA was conducted, and 11 co-regulated gene modules were identified. Each module was investigated with a t-test for AR and survival analysis for graft loss. The association between modules and AR molecular subtypes was also evaluated. Three transcriptional gene modules were associated with AR and graft loss of kidney transplant. One module constitutes unregulated immune response genes in AR and is associated with shorter graft survival (HR = 4.22, p-value = 4.29 × 10-6). This module is more significantly up-regulated in T cell-mediated acute rejection (TCMR) than in non-TCMRs. Hub genes such as HLA-DMA, CORO1A, PYCARD, and CD53 were identified. The expression of the other two modules was down-regulated in AR patients and associated with a good graft prognosis (HR = 0.41 and 0.24, respectively). A systems biology network approach may help uncover gene networks in kidney transplant biopsies associated with AR and contribute to identifying new biomarkers.

Precision dosing of warfarin: open questions and strategies.

Warfarin has a very narrow therapeutic window and obvious interindividual variability in its effects, with many factors contributing to the body's response. Algorithms incorporating multiple genetic, environment and clinical factors have been established to select a precision dose for each patient. A number of randomized controlled trials (RCTs) were conducted to explore whether patients could benefit from these algorithms; however, the results were inconsistent. Some questions remain to be resolved. Recently, new genetic and non-genetic factors have been discovered to contribute to variability in optimal warfarin doses. The results of further RCTs have been unveiled, and guidelines for pharmacogenetically guided warfarin dosing have been updated. Based on these most recent advancements, we summarize some open questions in this field and try to propose possible strategies to resolve them.

Synergetic Inhibition of Human Colorectal Cancer Cells by Combining Polyyne-Enriched Fraction from Oplopanax elatus and Irinotecan.

Although irinotecan is an important anticancer drug for treating colorectal cancer, its dose-dependent side effects limited its clinical application. Thus, it's important to develop low-toxic candidates to enhance the efficacy of irinotecan. Polyynes from genus Oplopanax were reported to possess potential anticancer effects on colorectal cancer. Hereby, we evaluated the synergetic inhibition of human colorectal cancer cells by combining polyyne-enriched fraction from Oplopanax elatus (the dichloromethane fraction of Oplopanax elatus, OED) and irinotecan. The results showed that 5 µg/ml of OED combined with 40 µM of irinotecan possessed significant synergetic inhibition on SW-480 cells with a combination index (CI) of 0.56. Besides, the percentage of apoptotic cells was significantly increased from 69.57% (40 µM of irinotecan) or 72.7% (5 µg/ml of OED) to 95.6% after treatment of OED combined with irinotecan (OCI), suggesting OED and irinotecan possess the synergistic apoptotic effect (P < 0.01). Furthermore, Caspase-3 was significantly activated in OCI group (P < 0.05). Besides, the percentage of apoptotic cells of OED or/and irinotecan significantly decreased after inhibition of caspase-3. These data indicated that OED could enhance antiproliferative effects of irinotecan on colorectal cancer cells, which was related with induction of apoptosis and regulations of activity of caspase-3.