Effects of intensity-modulated radiotherapy combined with chemotherapy and prognostic factors in patients with locally advanced oesophageal cancer.

PURPOSE: We explored the efficacy and influencing factors of chemoradiotherapy and radiotherapy alone in patients with locally advanced oesophageal squamous cell carcinoma. METHODS: We retrospectively analysed 226 locally advanced oesophageal squamous cell carcinoma patients who underwent chemoradiotherapy and radiotherapy alone. Univariate and multivariate Cox regression analyses were used to analyse the impact of relevant factors. The endpoint was overall survival and progression-free survival. RESULTS: Compared with the radiotherapy group, the chemoradiotherapy group had a significant difference in the overall survival rate and the progression-free survival rate between 3 and 5 years (both p â€‹< â€‹0.05). The incidences of radiation pneumonitis and radiation oesophagitis were analysed, and the differences were not significant (all p â€‹> â€‹0.05). The incidence of haematological toxicity in the chemoradiotherapy group was significantly higher than that in the radiotherapy group (p â€‹= â€‹0.001). There was a significant difference in the incidence of haematological toxicity between the ≤65 and the >65 age groups (p â€‹< â€‹0.05). Tumour location, T stage, tumour length, tumour target volume, and short-term curative effect were the main factors affecting the prognosis (all p â€‹< â€‹0.05). T stage, gross tumour volume, and short-term curative effect were all independent factors affecting the prognosis (all p â€‹< â€‹0.05). CONCLUSIONS: Patients with locally advanced oesophageal cancer who received intensity-modulated radiotherapy (IMRT) combined with chemotherapy had significant survival benefits compared with radiotherapy alone. Haematological toxicity was the main adverse reaction. T-stage, gross tumour volume and short-term curative effect were independent factors influencing the prognosis.

Analyzing lung cancer risks in patients with impaired pulmonary function through characterization of gut microbiome and metabolites.

BACKGROUND: Lung cancer (LC) is one of the most devastating diseases worldwide, there is growing studies confirm the role of impaired lung function in LC susceptibility. Moreover, gut microbiota dysbiosis is associated with LC severity. Whether alterations in gut microbiota and metabolites are associated with long-term lung dysfunction in LC patients remain unclear. Our study aimed to analyze the risk factors in LC patients with impaired pulmonary function based on the characteristics of the gut microbiome and metabolites. METHODS: Fecal samples from 55 LC patients and 28 benign pulmonary nodules patients were collected. Pulmonary ventilation function was graded according to the American Thoracic Society/ European Respiratory Society (ATS/ERS) method. LC patients were divided into 3 groups, including 20 patients with normal lung ventilation, 23 patients with mild pulmonary ventilation dysfunction and 12 patients with moderate or above pulmonary ventilation dysfunction. The fecal samples were analyzed using 16 S rRNA gene amplicon sequencing and metabolomics. RESULTS: The gut microbiome composition between LC patients and benign pulmonary nodules patients presented clearly differences based on Partial Least Squares Discriminant Analysis (PLS-DA). Pulmonary ventilation function was positively correlated with LC tumor stage, the richness and diversity of the gut microbiota in LC patients with moderate or above pulmonary ventilation dysfunction increased significantly, characterized by increased abundance of Subdoligranulum and Romboutsia. The metabolomics analysis revealed 69 differential metabolites, which were mainly enriched in beta-Alanine metabolism, styrene degradation and pyrimidine metabolism pathway. The area under the curve (AUC) combining the gut microbiome and metabolites was 90% (95% CI: 79-100%), indicating that the two species and four metabolites might regarded as biomarkers to assess the prediction of LC patients with impaired pulmonary function. CONCLUSIONS: Our results showed that microbiome and metabolomics analyses provide important candidate to be used as clinically diagnostic biomarkers and therapeutic targets related to lung cancer with impaired pulmonary function.