miR-128-3p contributes to mitochondrial dysfunction and induces apoptosis in glioma cells via targeting pyruvate dehydrogenase kinase 1.

Glioma, like most cancers, possesses a unique bioenergetic state of aerobic glycolysis known as the Warburg effect, which is a dominant phenotype of most tumor cells. Glioma tumors exhibit high glycolytic metabolism with increased lactate production. Data derived from the gene expression profiling interactive analysis (GEPIA) database show that pyruvate dehydrogenase kinase 1 (PDK1) is significantly highly expressed in glioma tissues compared with corresponding normal tissues. PDK1 is a key enzyme in the transition of glycolysis to tricarboxylic acid cycle, via inactivating PDH and converting oxidative phosphorylation to Warburg effect, resulting in increment of lactate production. Silencing of PDK1 expression resulted in reduced lactate and ATP, accumulation of ROS, mitochondrial damage, decreased cell growth, and increased cell apoptosis. Aberrant expression of miR-128 has been observed in many human malignancies. Mechanistically, we discover that overexpressed miR-128-3p disturbs the Warburg effect in glioma cells via reducing PDK1. Our experiments confirmed that the miR-128-3p/PDK1 axis played a pivotal role in cancer cell metabolism and growth. Collectively, these findings suggest that therapeutic strategies to modulate the Warburg effect, such as targeting of PDK1, might act as a potential therapeutic target for glioma treatment.

Identification of CD4+ T cell epitopes on glyceraldehyde-3-phosphate dehydrogenase-C of Staphylococcus aureus in Babl/c mice.

Glyceraldehyde-3-phosphate dehydrogenase-C (GapC) is a highly conserved surface protein of Staphylococcus aureus, with glyceraldehyde-3-phosphate dehydrogenase (GAPDH) activity, which represents an excellent vaccine candidate antigen. It can induce protective immune responses to S. aureus infections. However, CD4+ T cell epitopes of GapC that induce CD4+ T cell immune responses are currently unclear. In this study, we used bioinformatics prediction algorithms to predict CD4+ T cell epitopes of GapC. Ten peptides were synthesized to investigate the candidate epitopes. Our results showed that the peptides, G4 (GapC 104-123) and G10 (GapC 314-333) were able to induce proliferation of CD4+ T cells and secrete high levels of interferon (IFN)-γ, respectively. In addition, they significantly reduced bacterial loads in tissue and induced immunoprotective effects. It is suggested that G4 and G10 are Th1-type epitopes of S. aureus GapC. This study provides the potential development of the design of epitope-based vaccine against S. aureus.

Factors affecting thrombohemorrhagic early death in patients with acute promyelocytic leukemia treated with arsenic trioxide alone.

Acute promyelocytic leukemia (APL) is often accompanied by a potentially devastating coagulopathy. Predictors of thrombohemorrhagic early death (TH-ED)/early bleeding death are not well characterized. In this retrospective study, eleven baseline clinical variables that can be assessed easily and promptly were chosen for evaluation in a cohort of 364 patients with APL who were administered arsenic trioxide (ATO) alone as remission induction therapy. TH-ED was defined as death from bleeding or thrombosis within 30 days after hospital admission. Cox proportional hazards regression model was used for both the univariate and multivariate analyses. Totally, 53 patients died from severe bleeding (51 cases) or thrombosis (2 cases), and at 30 days the cumulative incidences of TH-ED were 14.6%. Six independent risk factors for TH-ED were identified, including relapse, male, white blood cell (WBC) count above 10 × 109/L, fibrinogen level below 1 g/L, D-dimer level above 4 mg/L and increased creatinine level. Increased creatinine level was the most powerful risk factor, followed by WBC count > 10 × 109/L. This study identified risk factors for TH-ED in a large cohort of patients with APL, which enriched clinical information on identifying patients at high risk of TH-ED.

DNA methylation-based patterns for early diagnostic prediction and prognostic evaluation in colorectal cancer patients with high tumor mutation burden.

Background: Immune checkpoint inhibitor (ICI) therapy has proven to be a promising treatment for colorectal cancer (CRC). We aim to investigate the relationship between DNA methylation and tumor mutation burden (TMB) by integrating genomic and epigenetic profiles to precisely identify clinical benefit populations and to evaluate the effect of ICI therapy. Methods: A total of 536 CRC tissues from the Cancer Genome Atlas (TCGA) with mutation data were collected and subjected to calculate TMB. 80 CRC patients with high TMB and paired normal tissues were selected as training sets and developed the diagnostic and prognostic methylation models, respectively. In the validation set, the diagnostic model was validated in our in-house 47 CRC tissues and 122 CRC tissues from the Gene Expression Omnibus (GEO) datasets, respectively. And a total of 38 CRC tissues with high TMB from the COLONOMICS dataset verified the prognostic model. Results: A positive correlation between differential methylation positions and TMB level was observed in TCGA CRC cohort (r=0.45). The diagnostic score that consisted of methylation levels of four genes (ADHFE1, DOK6, GPR75, and MAP3K14-AS1) showed high diagnostic performance in the discovery (AUC=1.000) and two independent validation (AUC=0.946, AUC=0.857) datasets. Additionally, these four genes showed significant positive correlations with NK cells. The prognostic score containing three genes (POU3F3, SYN2, and TMEM178A) had significantly poorer survival in the high-risk TMB samples than those in the low-risk TMB samples (P=0.016). CRC patients with low-risk scores combined with TMB levels represent a favorable survival. Conclusions: By integrating analyses of methylation and mutation data, it is suggested that DNA methylation patterns combined with TMB serve as a novel potential biomarker for early screening in more high-TMB populations and for evaluating the prognostic effect of CRC patients with ICI therapy.

ATPase copper transporter A, negatively regulated by miR-148a-3p, contributes to cisplatin resistance in breast cancer cells.

BACKGROUND: Breast cancer is the leading cause of death among women. Cisplatin is an effective drug for breast cancer, but resistance often develops during long term chemotherapy. While the mechanism of chemotherapy resistance is still not fully understood. METHODS: Survival analyses of ATP7A and ATP7B were used to evaluate their effects on the development of Breast invasive carcinoma (BRCA). Immunostaining, flow cytometry, and IC50 assay were utilized to examine the effects of ATP7A-siRNA combined with cisplatin on apoptosis in breast cancer cells. Q-PCR, western blotting, and dual-luciferase assay were employed to confirm ATP7A is a novel target gene of miR-148a-3p. RESULTS: In this current study, we identified knocking-down ATP7A could enhance cytotoxicity treatment of cisplatin in breast cancer cells. We also demonstrated miR-148a-3p overexpression in BRCA cells increased the sensitivity to cisplatin, and subsequently enhanced DNA damage and apoptosis. Moreover, we found ATP7A is a novel target gene of miR-148a-3p. In brief, our results showed miR-148a could accelerate chemotherapy induced-apoptosis in breast cancer cells by inhibiting ATP7A expression. CONCLUSIONS: Our results highlight that inhibition of ATP7A is a potential strategy for targeting breast cancer resistant to cisplatin, and we provided an interesting method to compare the involvement of various genes in the assessment of cisplatin resistance.

Collaborated effort against SARS-CoV-2 outbreak in China.

A previously unknown beta coronavirus, SARS-CoV-2, was discovered from a cluster of patients with pneumonia of unknown cause in Wuhan since the end of 2019. Ever since the start of COVID-19, government administrations, academic institutions, and technology enterprises are under unprecedented cooperation in controlling this outbreak from pathogen identification, epidemic situation assessment, to outbreak containment. Timely identification, isolation, and whole-genome sequencing of SARS-CoV-2 have laid the foundation for effective control of this novel infection. With the increasing case numbers worldwide, more real-time information is emerging, changing our understandings to SARS-CoV-2 outbreak, and nonetheless refining the outbreak control responses. The efficient management of COVID-19 requires global collaboration and an efficient share of information.

Toward Candidate Proteomic Biomarkers in Clinical Monitoring of Acute Promyelocytic Leukemia Treatment with Arsenic Trioxide.

The introduction of arsenic trioxide (ATO) in treatment of acute promyelocytic leukemia (APL) has resulted in high clinical complete remission (CR) rates over 90%. On the contrary, the risk for early death (ED) in APL patients treated with ATO continues to have a negative impact for optimization of APL therapeutics. There is an urgent need for precision medicine and biomarkers in clinical monitoring of ATO toxicity in APL, and ED in particular. This retrospective case series cohort proteomics study was conducted as a hypothesis generation effort and provides here several potential molecular leads on serum peptides expressed at different times after treatment with ATO in patients with APL. In 12 patients with a de novo APL diagnosis, and treated with single-agent ATO as frontline remission induction therapy, serum peptides were fractionated by weak cation exchange magnetic beads and analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Ten peptides (m/z 2075.5, 2084.2, 2203.0, 2265.2, 2872.8, 2916.6, 3145.2, 3153.4, 3953.4, and 3964.8) were significantly downregulated in serum after ATO treatment. Among them, four peptides were identified as (1) Immunoglobulin heavy chain V-III region BUT, (2) RRP15-like protein, (3) filaggrin, and (4) protein SON isoform F. To the best of our knowledge, this is the first clinical oncology proteomic biomarker study with a view to future rational therapeutic monitoring of patients with APL in the course of single-agent ATO treatment and hematological CR.