Are intratumoral microbiota involved in the progression of intraductal papillary mucinous neoplasms of the pancreas?

Microbiota as a state-of-the-art approach in precision medicine for pancreatic cancer management: A comprehensive systematic review

Emerging evidence suggests that harnessing the microbiome holds promise for innovative diagnostic and therapeutic strategies in the management of pancreatic cancer (PC). This study aims to systematically summarize the microbial markers associated with PC and assess their potential application in clinical outcome. Forty-one studies were included to assess the associations between microbial markers and PC. Among these, 13 were developed prediction models related to the microbiome in which the highest diagnostic and prognostic model belong to blood and intratumor markers, respectively. Notably, findings that utilize microbiotas from various body sites were elucidated, demonstrating their importance as unique signatures in biomarker discovery for diverse clinical applications. This review provides unique perspectives on overcoming challenges in PC by highlighting potential microbial-related markers as non-invasive approaches. Further clinical studies should evaluate the utility and accuracy of key indicators in the microbiome as a personalized tool for managing PC.

Genetic Assessment of Intraductal Papillary Mucinous Neoplasm for Predicting Concomitant Pancreatic Ductal Adenocarcinoma

OBJECTIVE

The role of Krüppel-like transcription factor 4 ( KLF4 ) mutations in IPMNs with concomitant pancreatic ductal adenocarcinoma (PDAC) remains unclear. This study clarified the rate and effect of KLF4 mutations in IPMN with concomitant PDAC.

MATERIALS AND METHODS

DNA was extracted from 65 formalin-fixed and paraffin-embedded samples from 52 patients including 13 IPMNs with concomitant PDAC and 39 IPMNs alone. A comprehensive screening using next-generation sequencing and then targeted sequencing for KLF4 , GNAS , and KRAS mutations were performed.

RESULTS

In next-generation sequencing screening, KRAS mutations were observed in all samples except for one, GNAS mutation in 2 IPMNs with concomitant PDAC, and a KLF4 mutation in 1 IPMN with concomitant PDAC. Targeted sequence detected KLF4 mutations in 11 of the 52 IPMNs. Concomitant PDAC developed only in the nonintestinal, noninvasive, and branch-duct IPMNs, and KLF4 mutations were more frequent in this IPMN type than in the other type. For this IPMN type with KLF4 mutation, PDAC-prediction sensitivity, specificity, and accuracy were 63%, 82%, and 79%, respectively.

CONCLUSION

For selected IPMNs with nonintestinal, noninvasive, and branch-duct, genetic assessment might be helpful for predicting the possible development of concomitant PDAC, although a prospective validation study using a larger study population is needed.

Intratumoral Microbiota: Metabolic Influences and Biomarker Potential in Gastrointestinal Cancer

Gastrointestinal (GI) cancers impose a substantial global health burden, highlighting the necessity for deeper understanding of their intricate pathogenesis and treatment strategies. This review explores the interplay between intratumoral microbiota, tumor metabolism, and major types of GI cancers (including esophageal, gastric, liver, pancreatic, and colorectal cancers), summarizing recent studies and elucidating their clinical implications and future directions. Recent research revealed altered microbial signatures within GI tumors, impacting tumor progression, immune responses, and treatment outcomes. Dysbiosis-induced alterations in tumor metabolism, including glycolysis, fatty acid metabolism, and amino acid metabolism, play critical roles in cancer progression and therapeutic resistance. The integration of molecular mechanisms and potential biomarkers into this understanding further enhances the prognostic significance of intratumoral microbiota composition and therapeutic opportunities targeting microbiota-mediated tumor metabolism. Despite advancements, challenges remain in understanding the dynamic interactions within the tumor microenvironment (TME). Future research directions, including advanced omics technologies and prospective clinical studies, offer promising avenues for precision oncology and personalized treatment interventions in GI cancer. Overall, integrating microbiota-based approaches and molecular biomarkers into GI cancer management holds promise for improving patient outcomes and survival.

Molecular Pathology of Pancreatic Cystic Lesions with a Focus on Malignant Progression

The malignant progression of pancreatic cystic lesions (PCLs) remains understudied with a knowledge gap, yet its exploration is pivotal for effectively stratifying patient risk and detecting cancer at its earliest stages. Within this review, we delve into the latest discoveries on the molecular level, revealing insights into the IPMN molecular landscape and revised progression model, associated histologic subtypes, and the role of inflammation in the pathogenesis and malignant progression of IPMN. Low-grade PCLs, particularly IPMNs, can develop into high-grade lesions or invasive carcinoma, underscoring the need for long-term surveillance of these lesions if they are not resected. Although KRAS and GNAS remain the primary oncogenic drivers of neoplastic development in IPMNs, additional genes that are important in tumorigenesis have been recently identified by whole exome sequencing. A more complete understanding of the genes involved in the molecular progression of IPMN is critical for effective monitoring to minimize the risk of malignant progression. Complicating these strategies, IPMNs are also frequently multifocal and multiclonal, as demonstrated by comparative molecular analysis. Algorithms for preoperative cyst sampling and improved radiomic techniques are emerging to model this spatial and temporal genetic heterogeneity better. Here, we review the molecular pathology of PCLs, focusing on changes associated with malignant progression. Developing models of molecular risk stratification in PCLs which can complement radiologic and clinical features, facilitate the early detection of pancreatic cancer, and enable the development of more personalized surveillance and management strategies are summarized.

The tumoral microbiome of pancreatic intraductal papillary mucinous neoplasm: A single-center retrospective cohort study

BACKGROUND AND AIM

Pancreatic intraductal papillary mucinous neoplasm (IPMN) is one of the most common precancerous lesions of pancreatic carcinoma. Studies have found that the tumoral microbiome has an important influence on pancreatic carcinoma. However, the tumoral microbiome of IPMNs has rarely been explored.

METHODS

Tumoral microbiome gene sequencing was carried out using 16 specimens of IPMN and 45 specimens of IPMN with associated invasive carcinoma (IPMN-IC) by 2bRAD sequencing for microbiome. The profile of the tumoral microbiome was summarized. Associations of the tumoral microbiome with disease grade, histological subtype, and prognosis were analyzed.

RESULTS

A total of 598 species of microbes were identified, comprising 228 genera, 109 families, 60 orders, 29 classes, 14 phyla, and 2 kingdoms. The genus Pseudomonas was detected more frequently and had higher relative abundance in IPMN-ICs; Alcaligenes faecalis was detected with higher relative abundance in IPMNs. Bifidobacterium pseudolongum had a higher relative abundance in the IPMN-IC group, regardless of histological subtype. Moreover, among patients with IPMN-ICs, those with a high relative abundance of B. pseudolongum had better overall survival than those with a low relative abundance. Patients who were positive for Staphylococcus aureus or Mycolicibacillus koreensis had shorter survival. The presence of S. aureus was an independent risk factor for poor prognosis.

CONCLUSIONS

There are enriching tumoral microbes in IPMN. The tumoral microbiome of IPMN is different from that of IPMN-IC.

Comprehensive analysis of microbiota signature across 32 cancer types

Microbial communities significantly inhabit the human body. Evidence shows the interaction between the human microbiome and host cells plays a central role in multiple physiological processes and organ microenvironments. However, the majority of related studies focus on gut microbiota or specific tissues/organs, and the component signature of intratumor microbiota across various cancer types remains unclear. Here, we systematically analyzed the correlation between intratumor microbial signature with survival outcomes, genomic features, and immune profiles across 32 cancer types based on the public databases of Bacteria in Cancer (BIC) and The Cancer Genome Atlas (TCGA). Results showed the relative abundance of microbial taxa in tumors compared to normal tissues was observed as particularly noticeable. Survival analysis found that specific candidate microbial taxa were correlated with prognosis across various cancers. Then, a microbial-based scoring system (MS), which was composed of 64 candidate prognostic microbes, was established. Further analyses showed significant differences in survival status, genomic function, and immune profiles among the distinct MS subgroups. Taken together, this study reveals the diversity and complexity of microbiomes in tumors. Classifying cancer into different subtypes based on intratumor microbial signatures might reasonably reflect genomic characteristics, immune features, and survival status.