The Microbiome in Pancreatic Cancer-Implications for Diagnosis and Precision Bacteriophage Therapy for This Low Survival Disease.

Front Cell Infect Microbiol

Department of Rural Clinical Sciences, La Trobe Rural Health School, La Trobe University, Bendigo, VIC, Australia.

Published: June 2022

While the mortality rates for many cancers have decreased due to improved detection and treatments, that of pancreatic cancer remains stubbornly high. The microbiome is an important factor in the progression of many cancers. Greater understanding of the microbiome in pancreatic cancer patients, as well as its manipulation, may assist in diagnosis and treatment of this disease. In this report we reviewed studies that compared microbiome changes in pancreatic cancer patients and non-cancer patients. We then identified which bacterial genera were most increased in relative abundance across the oral, pancreatic, duodenal, and faecal tissue microbiomes. In light of these findings, we discuss the potential for utilising these bacteria as diagnostic biomarkers, as well as their potential control using precision targeting with bacteriophages, in instances where a causal oncogenic link is made.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9160434PMC
http://dx.doi.org/10.3389/fcimb.2022.871293DOI Listing

Publication Analysis

Top Keywords

pancreatic cancer
12
microbiome pancreatic
8
cancer patients
8
microbiome
4
pancreatic cancer-implications
4
cancer-implications diagnosis
4
diagnosis precision
4
precision bacteriophage
4
bacteriophage therapy
4
therapy low
4

Similar Publications

Importance: The effect of adjuvant chemotherapy following resection of pancreatic adenocarcinoma after preoperative (m)FOLFIRINOX (combination leucovorin calcium [folinic acid], fluorouracil, irinotecan hydrochloride, and oxaliplatin in full or modified dosing) chemotherapy on overall survival (OS) is unclear because current studies do not account for the number of cycles of preoperative chemotherapy and adjuvant chemotherapy regimen.

Objective: To investigate the association of adjuvant chemotherapy following resection of pancreatic adenocarcinoma after preoperative (m)FOLFIRINOX with OS, taking into account the number of cycles of preoperative chemotherapy and adjuvant chemotherapy regimen.

Design, Setting, And Participants: This retrospective cohort study included patients with localized pancreatic adenocarcinoma treated with 2 to 11 cycles of preoperative (m)FOLFIRINOX followed by resection across 48 centers in 20 countries from 2010 to 2018.

View Article and Find Full Text PDF

Background: Neoadjuvant therapy is recommended for treating resectable pancreatic ductal adenocarcinoma (PDAC); however, its appropriate use in patients with resectable PDAC remains debatable.

Objective: This study aimed to identify independent poor prognostic factors and evaluate the clinical significance of neoadjuvant therapy in patients with resectable PDAC.

Methods: We retrospectively reviewed consecutive patients diagnosed with resectable PDAC at our institute between January 2003 and December 2022.

View Article and Find Full Text PDF

Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous group of neoplasms that include tumors with different histomorphologic characteristics that can be correlated to sub-categories with different prognoses. In addition to the WHO grading scheme based on tumor proliferative activity, a new parameter based on the scoring of infiltration patterns at the interface of tumor and non-neoplastic parenchyma (tumor-NNP interface) has recently been proposed for PanNET categorization. Despite the known correlations, these categorizations can still be problematic due to the need for human judgment, which may involve intra- and inter-observer variability.

View Article and Find Full Text PDF

Background: Pancreatic ductal adenocarcinoma (PDAC) has a heterogeneous make-up of myeloid cells that influences the therapeutic response and prognosis. However, understanding the myeloid cell at both a genetic and cellular level remains a significant challenge.

Methods: Single-cell RNA sequencing (scRNA-seq) data were downloaded from t the Tumor Immune Single-cell Hub and gene expression data were retrieved from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!