Gut Microbiota Characteristics Are Associated With Severity of Acute Radiation-Induced Esophagitis.

Background: Acute radiation-induced esophagitis (ARIE) is one of the most debilitating complications in patients who receive thoracic radiotherapy, especially those with esophageal cancer (EC). There is little known about the impact of the characteristics of gut microbiota on the initiation and severity of ARIE. Materials and Methods: Gut microbiota samples of EC patients undergoing radiotherapy (n = 7) or concurrent chemoradiotherapy (n = 42) were collected at the start, middle, and end of the radiotherapy regimen. Assessment of patient-reported ARIE was also performed. Based on 16S rRNA gene sequencing, changes of the gut microbial community during the treatment regimen and correlations of the gut microbiota characteristics with the severity of ARIE were investigated. Results: There were significant associations of several properties of the gut microbiota with the severity of ARIE. The relative abundance of several genera in the phylum Proteobacteria increased significantly as mucositis severity increased. The predominant genera had characteristic changes during the treatment regimen, such as an increase of opportunistic pathogenic bacteria including Streptococcus. Patients with severe ARIE had significantly lower alpha diversity and a higher abundance of Fusobacterium before radiotherapy, but patients with mild ARIE were enriched in Klebsiella, Roseburia, Veillonella, Prevotella_9, Megasphaera, and Ruminococcus_2. A model combining these genera had the best performance in prediction of severe ARIE (area under the curve: 0.907). Conclusion: The characteristics of gut microbiota before radiotherapy were associated with subsequent ARIE severity. Microbiota-based strategies have potential use for the early prediction of subsequent ARIE and for the selection of interventions that may prevent severe ARIE.

Clinical significance of risk stratification of esophageal squamous cell carcinoma after neoadjuvant chemoradiation and surgery.

OBJECTIVE: Nowadays, there were few studies reporting the risk stratification of patients with esophageal squamous cell carcinoma (ESCC) after neoadjuvant chemoradiation (NCRT) and surgery. We aimed to establish a simple risk stratification to help postoperative detection and adjuvant treatment. METHODS: We included 146 patients with locally advanced ESCC who received NCRT followed by esophagectomy. The impacts of clinicopathological factors on overall survival (OS) and disease-free survival (DFS) were analyzed. The recurrence site, time, and frequency were recorded as well. RESULTS: The median follow-up was 53 months. The pathological complete respond (pCR) group demonstrated better 5-year OS and DFS (78.6% and 77.0%) than the non-pCR group (44.8% and 35.2%, all P < 0.005). Multivariate analysis for the non-pCR group revealed perineural invasion (PNI) (HR:2.296, P = 0.013) and ypTNM stage (I/II vs III/IV) (HR:1.972, P = 0.046) were considered as independent unfavorable factors affecting OS, while PNI (HR:1.866, P = 0.045) and lymph vessel invasion (LVI) (HR:3.370, P < 0.001) were considered as independent adverse factors for DFS. Based on clinicopathological factors (including pCR, ypTNM stage, PNI, LVI), patients were divided into the low-risk (pCR), mediate-risk (non-pCR without PNI, LVI, stage III/IV), high-risk (non-pCR with one factor of PNI, LVI or stage III/IV (n = 45)), highest risk (non-pCR with two or more factors of PNI, LVI or stage III/IV) groups. The corresponding 5-year OS rates were 78.6%, 60.4%, 49.6%, 18.6%, respectively (P < 0.005) and 5-year DFS rates were 77.0%, 46.9%, 41.1%, 12.1%, respectively (P < 0.005). Adjuvant chemotherapy may improve survival in high or highest risk groups of patients with low prognostic nutritional index (< 49). CONCLUSIONS: A novel risk stratification based on clinicopathological factors may be conducive to postoperative surveillance and guide adjuvant chemotherapy.

Comprehensive analysis of the differential expression profile of microRNAs in missed abortion.

To screen the key circulating microRNAs (miRNAs) involved in missed abortion (MA) and explore their role in MA process. We examined the miRNA profile from the serum of three MA patients and three early pregnancy induced abortion patients (controls) by next-generation sequencing. We analyzed the target genes of the differentially expressed (DE) miRNAs to analyze the function and pathway enrichment using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, respectively. We validated five candidate miRNAs by real time-qPCR. Integrated miRNA-mRNA-pathway network analysis was performed to show the interaction network of the candidate miRNAs and their target genes of interest with the involved pathways. It was observed that 227 miRNAs were differently expressed between the MA group and the early pregnancy control group, with 58 miRNAs downregulated and 169 miRNAs upregulated in the MA group. Real-time qPCR results revealed that expression of the five candidate miRNAs, namely hsa-miR-22-3p, hsa-miR-145-3p, hsa-miR-107, hsa-miR-361-3p, and hsa-miR-378c, was consistent with the miRNA data obtained by sequencing. Integrated miRNA-mRNA-pathway network analysis illustrated that target genes of the candidate miRNAs were mainly involved in the PI3K-Akt signaling pathway, HIF-1 signaling pathway, and VEGF signaling pathway, which would have potential significance in pregnancy and MA. We are the first to reveal the DE miRNAs involved in MA and illustrate their functional interaction network. These results might provide potential circulating biomarkers and new therapeutic targets for MA.