Depicting the cellular complexity of pancreatic adenocarcinoma by Imaging Mass Cytometry: focus on cancer-associated fibroblasts DOI Creative Commons
Marco Erreni, Maria Rita Fumagalli,

Raffaella D’Anna

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 7, 2024

Introduction Pancreatic ductal adenocarcinoma (PDAC) represents the complexity of interaction between cancer and cells tumor microenvironment (TME). Immune affect cell behavior, thus driving progression. Cancer-associated fibroblasts (CAFs) are responsible desmoplastic fibrotic reaction by regulating deposition remodeling extracellular matrix (ECM). As tumor-promoting abundant in PDAC ECM, CAFs represent promising targets for novel anticancer interventions. However, relevant clinical trials hampered lack specific markers elusive differences among CAF subtypes. Indeed, while single-cell transcriptomic analyses have provided important information on cellular constituents PDACs related molecular pathways, studies based identification protein tissues aimed at identifying subtypes new result incomplete. Methods Herein, we applied multiplexed Imaging Mass Cytometry (IMC) resolution 8 human to depict composing cells, profiling immune endothelial (ECs), as well endocrine cells. Results We focused characterizing up 19 clusters distinguished phenotype, spatiality, with report evidence that (CAFs 10 11) predominantly enriched tumor-stroma interface closely associated expressing different combinations FAP, podoplanin cadherin-11, were a higher level CA19-9. Moreover, identified subsets FAP + /cadherin-11 patients negative prognosis. Discussion The present study provides general insights into defining phenotypic heterogeneities spatial distributions CAFs, suggesting functions their microenvironment.

Language: Английский

Mapping the rapid growth of multi-omics in tumor immunotherapy: Bibliometric evidence of technology convergence and paradigm shifts DOI Creative Commons
Huijing Dong,

Xinmeng Wang,

Yumin Zheng

et al.

Human Vaccines & Immunotherapeutics, Journal Year: 2025, Volume and Issue: 21(1)

Published: April 24, 2025

This study aims to fill the knowledge gap in systematically mapping evolution of omics-driven tumor immunotherapy research through a bibliometric lens. While omics technologies (genomics, transcriptomics, proteomics, metabolomics)provide multidimensional molecular profiling, their synergistic potential with remains underexplored large-scale trend analyses. A comprehensive search was conducted using Web Science Core Collection for literature related immunotherapy, up August 2024. Bibliometric analyses, R version 4.3.3, VOSviewer 1.6.20, and Citespace 6.2, examined publication trends, country institutional contributions, journal distributions, keyword co-occurrence, citation bursts. analysis 9,494 publications demonstrates rapid growth since 2019, China leading output (63% articles) yet exhibiting limited multinational collaboration (7.9% vs. UK's 61.8%). Keyword co-occurrence burst analyses reveal evolving frontiers: early emphasis on "PD-1/CTLA-4 blockade" has transitioned toward "machine learning," "multi-omics," "lncRNA," reflecting shift predictive modeling biomarker discovery. Multi-omics integration facilitated development immune infiltration-based prognostic models, such as TIME subtypes, which have been validated across multiple types, inform clinical trial design (e.g. NCT06833723). Additionally, proteomic melanoma patients suggests that metabolic biomarkers, particularly oxidative phosphorylation lipid metabolism, may stratify responders PD-1 blockade therapy. Moreover, spatial confirmed ENPP1 novel therapeutic target Ewing sarcoma. Citation trends underscore translation, mutation-guided therapies. Omics are transforming by enhancing discovery improving predictions. Future advancements will necessitate longitudinal monitoring, AI-driven multi-omics integration, international accelerate translation. presents systematic framework exploring emerging frontiers offers insights optimizing precision-driven immunotherapy.

Language: Английский

Citations

0
Understanding the Conundrum of Pancreatic Cancer in the Omics Sciences Era DOI Open Access
Alberto Nicoletti, Mattia Paratore, Federica Vitale

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(14), P. 7623 - 7623

Published: July 11, 2024

Pancreatic cancer (PC) is an increasing cause of cancer-related death, with a dismal prognosis caused by its aggressive biology, the lack clinical symptoms in early phases disease, and inefficacy treatments. PC characterized complex tumor microenvironment. The interaction cellular components plays crucial role development progression, contributing to alteration metabolism hyperproliferation, as well metastatic evolution abnormal tumor-associated immunity. Furthermore, response intrinsic oncogenic alterations influence microenvironment, cells undergo oncogene-directed metabolic reprogramming that includes changes glucose utilization, lipid amino acid metabolism, redox balance, activation recycling scavenging pathways. advent omics sciences revolutionizing comprehension pathogenetic conundrum pancreatic carcinogenesis. In particular, metabolomics genomics has led more precise classification into subtypes show different biological behaviors responses identification molecular targets through pharmacogenomic approach may help personalize Novel specific biomarkers have been discovered using proteomics analyses. Radiomics allows for earlier diagnosis computational analysis imaging. However, complexity, high expertise required, costs are main limitations use practice at present. addition, studies extracellular vesicles (EVs), organoids, understanding host–microbiota interactions, recently artificial intelligence helping make further steps towards precision personalized medicine. This present review summarizes evidence application study future perspectives.

Language: Английский

Citations

3
Genetically predicted blood metabolites mediate the association between circulating immune cells and pancreatic cancer: A Mendelian randomization study DOI
Zhao Guo, Yuanting Cai, Yuning Wang

et al.

The Journal of Gene Medicine, Journal Year: 2024, Volume and Issue: 26(5)

Published: May 1, 2024

Abstract Background Pancreatic cancer is characterized by metabolic dysregulation and unique immunological profiles. Nevertheless, the comprehensive understanding of immune pancreatic remains unclear. In present study, we aimed to investigate causal relationship circulating cells identify blood metabolites as potential mediators. Methods The exposure outcome genome‐wide association studies (GWAS) data used in study were obtained from GWAS open‐access database ( https://gwas.mrcieu.ac.uk ). 731 cell features, 1400 types GWAS. We then performed bidirectional Mendelian randomization (MR) analyses explore relationships between cancer, two‐step MR discover mediating this process. All statistical R software. STROBE‐MR (i.e. Strengthening Reporting Observational Studies Epidemiology using Randomization) checklist for reporting was also used. Results analysis identified seven causally associated with cancer. Furthermore, there no strong evidence that genetically predicted had an effect on these cells. Further found 10 associations CD39 + CD8 T mediated orotates proportions 5.18% p = 0.016). Conclusions provides supporting various cells, especially a orotates. research needed additional risk factors mediators establish immunity‐metabolism network

Language: Английский

Citations

2
Integrating IL-12 mRNA nanotechnology with SBRT eliminates T cell exhaustion in preclinical models of pancreatic cancer DOI Creative Commons

Angela Hughson,

Gary Hannon, Noah Salama

et al.

Molecular Therapy — Nucleic Acids, Journal Year: 2024, Volume and Issue: 35(4), P. 102350 - 102350

Published: Sept. 30, 2024

Language: Английский

Citations

2
Depicting the cellular complexity of pancreatic adenocarcinoma by Imaging Mass Cytometry: focus on cancer-associated fibroblasts DOI Creative Commons
Marco Erreni, Maria Rita Fumagalli,

Raffaella D’Anna

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 7, 2024

Introduction Pancreatic ductal adenocarcinoma (PDAC) represents the complexity of interaction between cancer and cells tumor microenvironment (TME). Immune affect cell behavior, thus driving progression. Cancer-associated fibroblasts (CAFs) are responsible desmoplastic fibrotic reaction by regulating deposition remodeling extracellular matrix (ECM). As tumor-promoting abundant in PDAC ECM, CAFs represent promising targets for novel anticancer interventions. However, relevant clinical trials hampered lack specific markers elusive differences among CAF subtypes. Indeed, while single-cell transcriptomic analyses have provided important information on cellular constituents PDACs related molecular pathways, studies based identification protein tissues aimed at identifying subtypes new result incomplete. Methods Herein, we applied multiplexed Imaging Mass Cytometry (IMC) resolution 8 human to depict composing cells, profiling immune endothelial (ECs), as well endocrine cells. Results We focused characterizing up 19 clusters distinguished phenotype, spatiality, with report evidence that (CAFs 10 11) predominantly enriched tumor-stroma interface closely associated expressing different combinations FAP, podoplanin cadherin-11, were a higher level CA19-9. Moreover, identified subsets FAP + /cadherin-11 patients negative prognosis. Discussion The present study provides general insights into defining phenotypic heterogeneities spatial distributions CAFs, suggesting functions their microenvironment.

Language: Английский

Citations

2