Background: Recently, intestinal bacteria have attracted attention as factors affecting the prognosis of patients with cancer. However, the intestinal microbiome is composed of several hundred types of bacteria, necessitating the development of an analytical method that can allow the use of this information as a highly accurate biomarker. In this study, we investigated whether the preoperative intestinal bacterial profile in patients with esophageal cancer who underwent surgery after preoperative chemotherapy could be used as a biomarker of postoperative recurrence of esophageal cancer.
Methods: We determined the gut microbiome of the patients using 16S rRNA metagenome sequencing, followed by statistical analysis. Simultaneously, we performed a machine learning analysis using a random forest model with hyperparameter tuning and compared the data obtained.
Results: Statistical and machine learning analyses revealed two common bacterial genera, Butyricimonas and Actinomyces, which were abundant in cases with recurrent esophageal cancer. Butyricimonas primarily produces butyrate, whereas Actinomyces are oral bacteria whose function in the gut is unknown.
Conclusion: Our results indicate that Butyricimonas spp. may be a biomarker of postoperative recurrence of esophageal cancer. Although the extent of the involvement of these bacteria in immune regulation remains unknown, future research should investigate their presence in other pathological conditions. Such research could potentially lead to a better understanding of the immunological impact of these bacteria on patients with cancer and their application as biomarkers.
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http://dx.doi.org/10.1007/s00262-023-03608-y | DOI Listing |
Obstet Gynecol Surv
December 2024
Professor, Obstetrics and Gynecology, University of Arkansas for the Medical Sciences, Little Rock, AR; Professor, Obstetrics and Gynecology, Virginia Tech Carilion School of Medicine, Roanoke, VA.
Importance: Upper gastrointestinal cancers such as gastric and esophageal cancers are rare malignancies with poor prognosis because it is usually diagnosed in latter stages. Presenting symptoms are frequently presumed pregnancy related rather than malignancy related. This review will raise awareness to consider these aggressive cancers in evaluating gastrointestinal complaints during pregnancy.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Esophageal carcinoma is a highly prevalent malignancy worldwide. The present study aimed to investigate the mechanism by which the natural compound coptisine affects pyroptosis in esophageal squamous cell carcinoma (ESCC). The expression of c-Met in ESCC patients was assessed by immunohistochemical analysis of tissue microarrays.
View Article and Find Full Text PDFDis Esophagus
January 2025
Department of Surgery, Royal College of Surgeons in Ireland (RCSI), Dublin, Ireland.
Enhanced Recovery After Surgery (ERAS) protocols are evidence-based care improvement pathways which are perceived to expedite patient recovery following surgery. Their utility in the setting of oesophagectomy remains unclear. The aim of this study was to perform a systematic review and meta-analysis of randomised clinical trials (RCTs) to evaluate the impact of ERAS protocols on recovery following oesophagectomy compared to standard care.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Department of Infectious Diseases, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China.
Gastrointestinal tumors, including colorectal and liver cancer, are among the most prevalent and lethal solid tumors. These malignancies are characterized by worsening prognoses and increasing incidence rates. Traditional therapeutic approaches often prove ineffective.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
December 2024
Department of Surgery, Baylor College of Medicine, Houston, Texas.
Background: The objective of this study was to compare generative artificial intelligence-initiated care pathways, using ChatGPT, with expert-guided consensus-initiated care pathways from AskMayoExpert (AME) for symptom management of esophageal cancer patients after esophagectomy.
Methods: A formal protocol for development of 9 AME care pathways was followed for specific patient-identified domains after esophagectomy for esophageal cancer. Domain scores were measured and assessed through the Upper Digestive Disease tool.
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