98%
921
2 minutes
20
Background: Targeted therapies have improved the clinical outcomes of most patients with cancer. However, the heterogeneity of gastric cancer remains a major hurdle for precision treatment. Further investigations into tumor microenvironment heterogeneity are required to resolve these problems.
Methods: In this study, bioinformatic analyses, including metabolism analysis, pathway enrichment, differentiation trajectory inference, regulatory network construction, and survival analysis, were applied to gain a comprehensive understanding of tumor microenvironment biology within gastric cancer using single-cell RNA-seq and public datasets and experiments were carried out to confirm the conclusions of these analyses.
Results: We profiled heterogeneous single-cell atlases and identified eight cell populations with differential expression patterns. We identified two cancer-associated fibroblasts (CAFs) subtypes, with particular emphasis on the role of inflammatory cancer-associated fibroblasts (iCAFs) in EMT and lipid metabolic crosstalk within the tumor microenvironment. Notably, we detected two differentiation states of iCAFs that existed in different tissues with discrepant expression of genes involved in immuno-inflammation or ECM remodeling. Moreover, investigation of tumor-infiltrating myeloid cells has revealed the functional diversity of myeloid cell lineages in gastric cancer. Of which a proliferative cell lineage named C1QCMKI67TAMs was recognized with high immunosuppressive capacities, suggesting it has immune suppression and cell proliferation functions in the tumor niche. Finally, we explored regulatory networks based on ligand-receptor pairs and found crucial pro-tumor crosstalk between CAFs and myeloid cells in the tumor microenvironment (TME).
Conclusion: These findings provide insights for future cancer treatments and drug discovery.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11420565 | PMC |
http://dx.doi.org/10.2174/0113892029300608240531111743 | DOI Listing |
Gastric Cancer
September 2025
Department for the Promotion of Medical Device Innovation, National Cancer Center Hospital East, Bunkyo City, Tokyo, Japan.
Background: Although many studies have developed logistic regression models for predicting complications using preoperative and intraoperative data, none have applied comprehensive perioperative information with machine learning (ML) to enable time-sequential predictions.
Methods: This study included patients undergoing gastric cancer surgery between 2013 and 2019 at two hospitals. Comprehensive perioperative data were collected.
Gastric Cancer
September 2025
Department of Gastroenterological Surgery, The University of Osaka Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
Background: The tyrosine kinase inhibitor (TKI) imatinib targets KIT and PDGFRA, offering significant therapeutic benefits in advanced gastrointestinal stromal tumors (GISTs). However, the high rate of recurrence following treatment discontinuation suggests that drug-tolerant persister cells (DTPs) may contribute to therapy resistance. Elucidating the mechanisms underlying DTP survival is critical for the development of curative strategies.
View Article and Find Full Text PDFSurg Endosc
September 2025
Department of Digestive Medicine Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.
Background: Laparoscopic segmental resection (LSR) is a common treatment modality for endoscopically unresectable colorectal polyps. Laparoscopic endoscopic cooperative surgery (LECS) has emerged as a promising alternative, yet current evidence of its efficacy remains limited.
Objectives: This meta-analysis aims to compare the therapeutic outcomes of LECS versus LSR for endoscopically unresectable colorectal polyps and to provide robust evidence for clinical practice.
Abdom Radiol (NY)
September 2025
Department of Radiology, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China.
Purpose: This study aimed to evaluate whether different tumour response assessment methods yield inconsistent results following neoadjuvant chemotherapy (NACT) in patients with gastric cancer and to identify the methods most strongly associated with pathological response and prognosis.
Methods: This study included 217 patients with gastric cancer who underwent NACT. Tumour volume, area, and thickness were measured on baseline and post-treatment computed tomography (CT) scans.
Zhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, Longyan First Hospital, Fujian Medical University, Longyan 364000, China.