The efficiency of MSC-based targeted AIE nanoparticles for gastric cancer diagnosis and treatment: An experimental study.

Mesenchymal stem cells (MSCs), due to their tumor tropism, are strongly recruited by various solid tumors and mobilized by inflammatory signals in the tumor microenvironment. However, effective cellular uptake is critical for MSC-based drug delivery. In this study, we synthesized a spherical copolymer, polyethylenimine-poly(ε-caprolactone), with aggregation-induced emission (AIE) material and the anticancer drug, paclitaxel, coloaded onto its inner core. This was followed by the addition of a transactivator of transcription (TAT) peptide, a type of cell-penetrating peptide, to modify the nanoparticles (NPs). Finally, the MSCs were employed to carry the TAT-modified AIE-NPs drug to the tumor sites and assist in simultaneous cancer diagnosis and targeted tumor therapy. In vitro, the TAT-modified AIE-NPs showed good biocompatibility, targeting, and stability in an aqueous solution besides high drug-loading and encapsulation efficiency. In vitro, the AIE-NPs exhibited a controllable release under a mildly acidic environment. The in vivo and in vitro studies showed high antitumor efficacy and low cytotoxicity of the AIE-NP drug, whereas biodistribution confirmed the tumor tropism of MSCs. To summarize, the MSC-based AIE-NP drugs loaded with TAT possessed good biocompatibility and high antitumor efficacy via the enhanced NP-drug uptake. In addition, the tumor tropism of MSCs provided selective drug uptake by the tumor cells and thus reduced the systemic side effects.

Prognostic performance of different lymph node classification systems in young gastric cancer.

BACKGROUND: Accurate staging plays a pivotal role in cancer care. The lymph node (LN) ratio (LNR) and the log odds of positive LNs (LODDS) have been suggested as alternatives to the N staging since the TNM system has the risk of stage migration. The prognostic significance of LNR and LODDS in young patients with gastric cancer (GC) has not been reported. This study aims to investigate the correlations between LNR and LODDS and survival of young patients with GC, and compare the predictive performance of these LN staging methods. METHODS: GC patients before the age of 40 from 2004 to 2016 in the Surveillance, Epidemiology and End Results database were enrolled. The prognostic evaluation of the N factor, LNR and LODDS was compared using the time-dependent receiver operating characteristic (ROC) analysis, area under the curve (AUC), C-index and Akaike information criterion (AIC). RESULTS: Multivariate survival analysis identified that the LNR and LODDS were significantly independent prognostic indicators for overall survival (OS) in young patients with GC and in the subgroups comprised of patients with ≤15 LNs examined. The time-dependent ROC curves of the LNR and LODDS were continuously superior to that of the N factor in predicting OS during the observation period. And the AUCs revealed that the predictive accuracy of the LNR and LODDS was remarkably superior to the N factor at 1 and 3 years (P<0.05). The model incorporating LNR or LODDS had higher C-index and lower AIC when comparing to the model incorporating the N factor. CONCLUSIONS: The LNR and LODDS improve accuracy of survival risk prediction in young patients with GC when comparing to the N factor. These two novel LN classification methods should be considered as alternatives to the N staging for the prognostic prediction of young patients with GC.

HOTAIR plays an oncogenic role in gastric cancer through microRNA and SNP.

HOX transcript antisense intergenic RNA (HOTAIR) is a lncRNA with a length of 2,158 nucleotides and its two terminal domains could combine with different complexes to function at the level of transcription and translation. It overexpresses in many cancers including gastric cancer. HOTAIR could play an oncogenic role in the initiation and progression of gastric cancer through interaction with microRNAs, such as miR-330/618/126 in the PI3K/Akt signaling pathways. HOTAIR single nucleotide polymorphisms (SNPs) may have genotype-function and allele-specific effect on gastric cancer by a mechanism that specific SNP could give rise to a variation of HOTAIR and alter the binding site of microRNAs. Both rs920778 T allele and rs4759314 G allele will enhance the susceptibility to gastric cancer in the Chinese populations. In a word, the suppression of HOTAIR and overexpression of downstream microRNAs may be potential therapeutic strategies of gastric cancer related to HOTAIR.

Prognostic efficacy of preoperative mGPS, SIS and LCS in patients with gastric cancer.

BACKGROUND: Systemic inflammation and interactions with host-tumor are currently identified as a hallmark of cancer. The purpose of this study was to assess the prognostic value of preoperative modified Glasgow Prognostic Score (mGPS), systemic inflammation score (SIS) and "lymphocyte C-reactive protein score" (LCS) in gastric cancer (GC) patients. METHODS: 358 GC patients were enrolled in this retrospective study. Kaplan-Meier method, multivariate Cox regression analysis, time-dependent receiver operating characteristics analysis (ROC), concordance index (C-index), and Akaike information criterion (AIC) were applied for assessments of the prognostic values. RESULTS: Preoperative increased mGPS, SIS and LCS were all significantly linked with unfavorable overall survival using the Kaplan-Meier method (P < 0.001). Multivariate analysis proved that SIS was the only independent indicator among these three scoring systems. At the 4th-month point postoperatively, the time-dependent ROC curves of SIS and LCS crossed the curve of mGPS and were consistently superior to that of mGPS thereafter. The model incorporating SIS had higher C-index and smaller AIC than did the model without SIS or the models with mGPS or LCS. CONCLUSION: Preoperative SIS exceeded both the mGPS and LCS and was the most clinically promising and feasible prognostic scoring system for GC patients.

BRD4/8/9 are prognostic biomarkers and associated with immune infiltrates in hepatocellular carcinoma.

Bromodomain (BRD)-containing proteins are a class of epigenetic readers with unique recognition for N-acetyl-lysine in histones and functions of gene transcription and chromatin modification, known to be critical in various cancers. However, little is known about the roles of distinct BRD-containing protein genes in hepatocellular carcinoma (HCC). Most recently, we investigated the transcriptional and survival data of BRD1, BRD2, BRD3, BRD4, BRD7, BRD8, BRD9 in HCC patients through ONCOMINE, UALCAN, Human Protein Atlas, GEPIA, cBioPortal, STRING, TIMER databases. BRD1/2/3/4/7/8/9 were over-expressed in HCC and were significantly associated with clinical cancer stages and pathological tumor grades. High mRNA expressions of BRD4/8/9 were promising candidate biomarkers in HCC patients. The rate of sequence alternations in BRD1/2/3/4/7/8/9 was relatively high (52%) in HCC patients, and the genetic alternations were correlated with shorter overall survival and disease-free survival in HCC patients. Additionally, the mRNA expression levels of individual BRD genes were significantly positively associated with the immune infiltrating levels of B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells. And the associations between BRD1/2/3/4/7/8/9 and diverse immune marker sets showed a significance. Overall, these results indicated that BRD4/8/9 could be potential prognostic markers and druggable epigenetic targets in HCC patients.