Ailanthus Altissima-derived Ailanthone enhances Gastric Cancer Cell Apoptosis by Inducing the Repression of Base Excision Repair by Downregulating p23 Expression.

Chemotherapy plays an irreplaceable role in the treatment of GC, but currently available chemotherapeutic drugs are not ideal. The application of medicinal plants is an important direction for new drug discovery. Through drug screening of GC organoids, we determined that ailanthone has an anticancer effect on GC cells in vitro and in vivo. We also found that AIL can induce DNA damage and apoptosis in GC cells. Further transcriptome sequencing of PDX tissue indicated that AIL inhibited the expression of XRCC1, which plays an important role in DNA damage repair, and the results were also confirmed by western blotting. In addition, we found that AIL inhibited the expression of P23 and that inhibition of P23 decreased the expression of XRCC1, indicating that AIL can regulate XRCC1 via P23. The results of coimmunoprecipitation showed that AIL can inhibit the binding of P23 and XRCC1 to HSP90. These findings indicate that AIL can induce DNA damage and apoptosis in GC cells. Meanwhile, AIL can decrease XRCC1 activity by downregulating P23 expression to inhibit DNA damage repair. The present study sheds light on the potential application of new drugs isolated from natural medicinal plants for GC therapy.

The Anti-Tumor Effect of Nab-Paclitaxel Proven by Patient-Derived Organoids.

BACKGROUND: Nab-paclitaxel has been widely used in treating breast cancer and pancreatic patients for its low toxicity and high efficiency. However, its role in gastric cancer (GC) remains ambiguous. The aim of our study was to test the anti-tumor activity of nab-paclitaxel using GC patient-derived organoids. METHODS: By using the organoid culture system, we describe the establishment of human gastric cancer organoid lines from surgical samples of three patients with gastric cancer. The consistency of these organoids with original cancer tissues was evaluated by histopathological examination. The characteristics of the cancer organoids were tested using immunofluorescence (IF) staining. Using organoids, the anti-tumor efficiencies of nab-paclitaxel, 5-Fu and epirubicin were compared by CCK8 assay and Annexin V-FITC/PI staining. RESULTS: Three organoids were successfully established and passaged. The morphology of the established GC organoids was consistent with original cancer tissues. The IC50 of nab-paclitaxel was 3.68 µmol/L in hGCO1, 2.41 µmol/L in hGCO2 and 2.91 µmol/L in hGCO3, which was significantly lower than those of 5-FU (72.99 µmol/L in hGCO1, 28.32 µmol/L in hGCO2 and 2.91 µmol/L in hGCO3) and epirubicin (25.85µmol/L in hGCO1, 15.15 µmol/L in hGCO2 and 7.60 µmol/L in hGCO3). When each organoid lines were treated with nab-paclitaxel for increasing period of time, the percentage of the apoptotic cells in each organoid increased accordingly. CONCLUSION: Nab-paclitaxel showed strong anti-tumor activity and had the potential to become front-line drug for treating GC patients. Gastric cancer organoid may be a good tool to predict in vivo response to drugs.

Interaction between RAD51 and MCM Complex Is Essential for RAD51 Foci Forming in Colon Cancer HCT116 Cells.

Colon cancer remains one of the most common digestive system malignancies in the World. This study investigated the possible interaction between RAD51 and minichromosome maintenance proteins (MCMs) in HCT116 cells, which can serve as a model system for forming colon cancer foci. The interaction between RAD51 and MCMs was detected by mass spectrometry. Silenced MCM vectors were transfected into HTC116 cells. The expressions of RAD51 and MCMs were detected using Western blotting. Foci forming and chromatin fraction of RAD51 in HCT116 cells were also analyzed. The results showed that RAD51 directly interacted with MCM2, MCM3, MCM5, and MCM6 in colon cancer HTC116 cells. Suppression of MCM2 or MCM6 by shRNA decreased the chromatin localization of RAD51 in HTC116 cells. Moreover, silenced MCM2 or MCM6 decreased the foci forming of RAD51 in HTC116 cells. Our study suggests that the interaction between MCMs and RAD51 is essential for the chromatin localization and foci forming of RAD51 in HCT116 cell DNA damage recovery, and it may be a theoretical basis for analysis of RAD51 in tumor samples of colon cancer patients.

The microRNA miR-10b as a potentially promising biomarker to predict the prognosis of cancer patients: a meta-analysis.

BACKGROUND: Reported studies on carcinoma have evaluated the significance of the microRNA miR-10b in the development and progression of many cancers. Increased expression of miR-10b is associated with the susceptibility to lymph node metastasis and distant metastasis in various tumors. RESULTS: The results of the meta-analysis revealed that lymph node metastasis occurred more frequently in the patients group with high expression level of miR-10b than in the patients group with low expression level of miR-10b (OR=4.65, 95% CI: 3.40-6.37, P <0.00001, fixed-effects model). Additionally, a similar result was observed in the association between miR-10b expression and distant metastasis (OR=2.70, 95% CI: 1.79-4.08, P <0.00001, fixed-effects model). MATERIALS AND METHODS: In this study, a meta-analysis, including the majority of the relevant articles, was conducted to investigate the association of the miR-10b expression level with metastasis in cancer patients. Systematic literature retrieval was performed by searching in a number of electronic databases. The meta-analysis was conducted using the RevMan 5.2 software and Stata SE12.0 software. A total of 962 patients with carcinoma from 9 studies were included in analysis. CONCLUSIONS: This meta-analysis demonstrated that the overexpression of miR-10b was significantly correlated with metastasis status, and indicated the potential clinical use of miR-10b as a molecular biomarker, particularly in assessing prognosis for patients with cancers.

Long noncoding RNA ANRIL: a potential novel prognostic marker in cancer: a meta-analysis.

INTRODUCTION: Numerous researches have showed that the dysregulation of lncRNA ANRIL play a significant role in cancer progression, and high expression of ANRIL may have important clinical value. This meta-analysis aims to investigate potential clinical application role of ANRIL as a biomarker for cancer prognosis. EVIDENCE ACQUISTION: The electronic search was conducted in Pubmed, EMBASE, Web of Science, CNKI and Wanfang database (up to January 27, 2016). We collected relevant articles to explore the association between the expression levels of ANRIL and overall survival (OS). EVIDENCE SYNTHESIS: A total of 519 cancer patients from six studies were finally included. The results showed that cancer patients with high ANRIL expression may have a poorer OS (HR=1.95, 95%CI:1.37-2.53, P=0.000, fixed-effect model) than those with low ANRIL expression. CONCLUSIONS: High expression of ANRIL is associated with poor clinical outcome. ANRIL might be act as a novel potential prognostic biomarker in various cancers.

Long Non-Coding RNA HOXA Transcript at the Distal Tip as a Putative Biomarker of Metastasis and Prognosis: a Meta-Analysis.

BACKGROUND: Many studies demonstrated that the expression level of HOTTIP in cancerous tissues was significantly higher than that in adjacent normal tissues. Increased expression of HOTTIP was associated with metastasis and a poor prognosis. METHODS: The current meta-analysis collected all relevant articles and explored the association of HOTTIP expression levels with lymph node metastasis (LNM), distant metastasis (DM), and overall survival (OS) in multiple cancers. Literature collections were conducted by searching a number of electronic databases (up to December 31, 2015). The Meta-analysis was conducted using RevMan5.3 software and Stata SE12.0. RESULTS: A total of 602 patients with cancer from seven studies were included. The Meta-analysis results showed that lymph node metastasis occurred more frequently in patients with high HOTTIP expression than in patients with low HOTTIP expression (OR = 2.22, 95% CI: 1.47 - 3.37, p = 0.0002, fixed-effects model), and a similar result was observed between HOTTIP expression and distant metastasis (OR = 3.30 (95% CI: 1.78 - 6.12, p = 0.0001, fixed-effects model). Moreover, we found that cancer patients with high HOTTIP expression had a poorer overall survival than those with low HOTTIP expression (HR = 2.23, 95% CI: 1.64 - 2.83, p = 0.000, fixed-effects model). CONCLUSIONS: HOTTIP may serve as an independent biomarker for predicting the clinical outcome of cancer patients.