ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2023
Proteomic profiling of gastric cancer with peritoneal metastasis identifies a protein signature associated with immune microenvironment and patient outcome.
Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 22 citations in OpenAlex.
- Review
- Review
- A novel multimodal combining radiomics and tumor-stroma ratio (TSR) improves diagnosis of gastric cancer peritoneal metastasis.Clinical & experimental metastasis · 2026Article
- Exosome-orchestrated network in gastric cancer: mechanisms, immune regulation, biomarkers and therapeutic vehicles.Frontiers in cell and developmental biology · 2026Review
- Microfluidic Biochip-Based Multiplexed Profiling of Small Extracellular Vesicles Proteins Integrated with Machine Learning for Early Disease Diagnosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Spatial Heterogeneity, Stromal Phenotypes, and Therapeutic Vulnerabilities in Colorectal Cancer Peritoneal Metastasis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Tumor exosomal circPTBP3 drives gastric cancer peritoneal metastasis via mesothelial-mesenchymal transition.Cell death & disease · 2025Article
- Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer.Journal of personalized medicine · 2025Review
- Sialic acid metabolism-based classification reveals novel metabolic subtypes with distinct characteristics of tumor microenvironment and clinical outcomes in gastric cancer.Cancer cell international · 2025Article
- Exosomes and their cargo proteins in diagnosis, process and treatment of gastric cancer.Frontiers in cell and developmental biology · 2025Review
- Extracellular vesicles: messengers of cross-talk between gastric cancer cells and the tumor microenvironment.Frontiers in cell and developmental biology · 2025Review
- Tumor-Stroma Ratio is a Critical Indicator of Peritoneal Metastasis in Gastric Cancer.Clinical and experimental gastroenterology · 2025Article
- Transcriptional landscape and predictive potential of long noncoding RNAs in peritoneal recurrence of gastric cancer.Molecular cancer · 2024Article
- Construction and validation of the prognostic nomogram model for patients with diffuse-type gastric cancer based on the SEER database.Discover oncology · 2024Article
- Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis.Heliyon · 2024Review
- Genomic characterization of peritoneal lavage cytology-positive gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024Article
- Decoding the secrets of small extracellular vesicle communications: exploring the inhibition of vesicle-associated pathways and interception strategies for cancer treatment.American journal of cancer research · 2024Review
- Plasma Exosome Proteins ILK1 and CD14 Correlated with Organ-Specific Metastasis in Advanced Gastric Cancer Patients.Cancers · 2023Article
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Authors and funding
14 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundPeritoneal metastasis (PM) frequently occurs in patients with gastric cancer (GC) and is a major cause of mortality. Risk stratification for PM can optimize decision making in GC treatment.
methodsA total of 25 GC patients (13 with synchronous, 6 with metachronous PM and 6 PM-free) were included in this study. Quantitative proteomics by high-depth tandem mass tags labeling and whole-exome sequencing were conducted in primary GC and PM samples. Proteomic signature and prognostic model were established by machine learning algorithms in PM and PM-free GC, then validated in two external cohorts. Tumor-infiltrating immune cells in GC were analyzed by CIBERSORT.
resultsHeterogeneity between paired primary and PM samples was observed at both genomic and proteomic levels. Compared to primary GC, proteome of PM samples was enriched in RNA binding and extracellular exosomes. 641 differently expressed proteins (DEPs) between primary GC of PM group and PM-free group were screened, which were enriched in extracellular exosome and cell adhesion pathways. Subsequently, a ten-protein signature was derived based on DEPs by machine learning. This signature was significantly associated with patient prognosis in internal cohort and two external proteomic datasets of diffuse and mixed type GC. Tumor-infiltrating immune cell analysis showed that the signature was associated with immune microenvironment of GC.
conclusionsWe characterized proteomic features that were informative for PM progression of GC. A protein signature associated with immune microenvironment and patient outcome was derived, and it could guide risk stratification and individualized treatment.
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