ReviewOncology letters2024
Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review).
Review in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- Inverse co-variation of circulating PIWIL2 and PIWIL4 in gastric adenocarcinoma: an exploratory ELISA-based study.Clinical proteomics · 2026Article
- CTMAP: an adversarial cross-modal learning framework for accurate and robust cell-type annotation in single-cell resolution spatial transcriptomics.Briefings in bioinformatics · 2026Article
- tRF and gastric cancer: molecular mechanism exploration and novel strategies for precision diagnosis and therapy.Journal of translational medicine · 2026Review
- Tumor Budding in Gastric Carcinoma: Beyond Counting Cells at the Invasive Front-A Review of Current Evidence and Biological Perspectives.International journal of molecular sciences · 2026Review
- Global scientific growth and thematic development of spatial transcriptomics in oncology research.Discover oncology · 2026Article
- Conserved Pathways, Divergent Outcomes: A Cross-Species Genomic Perspective on the Cancer-Neurodegeneration Paradox.International journal of molecular sciences · 2026Review
- Artificial intelligence-powered prediction of diabetic complications: from clinical data to molecular omics.Briefings in bioinformatics · 2026Article
- Spatial immune archetypes in gastric and colorectal cancer: a proposed conceptual framework for immunotherapy resistance and therapeutic remodeling.Frontiers in immunology · 2026Review
- Spatial omics and its applications for a tumour microenvironment characterization and precision medicine approach of gastric cancer.Ecancermedicalscience · 2026Review
- Immune checkpoint inhibitor therapy for gastric cancer: current status, therapeutic challenges, and future prospects.Frontiers in immunology · 2026Review
- Listening to the Past, Shaping the Future: A Data-mining Based and Visual Analysis of Five Decades of Gastric Carcinogenesis Research.Biological procedures online · 2025Article
- Article
- Applications and prospects of spatial transcriptomics in prostate cancer research: A narrative review.Current urology · 2025Article
- Harnessing technologies to unravel gastric cancer heterogeneity.Trends in cancer · 2025Review
- Deciphering genetic regulation at single-cell resolution in gastric cancer.Cell genomics · 2025Article
- Single-cell RNA sequencing and spatial transcriptomics reveal the heterogeneity and intercellular communication of cancer-associated fibroblasts in gastric cancer.Journal of translational medicine · 2025Article
- SpaCcLink: exploring downstream signaling regulations with graph attention network for systematic inference of spatial cell-cell communication.BMC biology · 2025Article
- Comprehensive pan-cancer analysis indicates key gene of p53-independent apoptosis is a novel biomarker for clinical application and chemotherapy in colorectal cancer.Frontiers in immunology · 2025Article
- Identification the Tumor Mechanics-Related Biomarkers in Gastric Cancer Patients Based on Bioinformatics and Machine Learning.International journal of general medicine · 2025Article
- A novel Tc17 population recruited by tumor cells promotes tumor progression in gastric cancer.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer (GC) is a prominent contributor to global cancer-related mortalities, and a deeper understanding of its molecular characteristics and tumor heterogeneity is required. Single-cell omics and spatial transcriptomics (ST) technologies have revolutionized cancer research by enabling the exploration of cellular heterogeneity and molecular landscapes at the single-cell level. In the present review, an overview of the advancements in single-cell omics and ST technologies and their applications in GC research is provided. Firstly, multiple single-cell omics and ST methods are discussed, highlighting their ability to offer unique insights into gene expression, genetic alterations, epigenomic modifications, protein expression patterns and cellular location in tissues. Furthermore, a summary is provided of key findings from previous research on single-cell omics and ST methods used in GC, which have provided valuable insights into genetic alterations, tumor diagnosis and prognosis, tumor microenvironment analysis, and treatment response. In summary, the application of single-cell omics and ST technologies has revealed the levels of cellular heterogeneity and the molecular characteristics of GC, and holds promise for improving diagnostics, personalized treatments and patient outcomes in GC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.