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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Related Experiment Video

Updated: Mar 29, 2026

Author Spotlight: Unveiling Transmembrane Protein Family-Related Markers in Gastric Cancer and Implications for Targeted Therapies
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Advances in Spatial Multi-Omics in Gastric Cancer.

Hongfei Yan1, Yang Liu1,2,3

  • 1Department of Pathology, Yale School of Medicine, New Haven, CT 06510, USA.

Cells
|March 27, 2026
PubMed
Summary
This summary is machine-generated.

Spatial multi-omics offers a high-definition view of gastric cancer (GC) heterogeneity, overcoming limitations of traditional methods. This approach is crucial for understanding tumor complexity and improving treatment strategies.

Keywords:
gastric cancerprecision medicinespatial multi-omicstherapeutic resistancetumor microenvironment

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Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Gastric cancer (GC) presents a significant global health challenge due to its complex tumor heterogeneity.
  • Traditional bulk omics analyses fail to capture spatial molecular variations within the tumor microenvironment (TME).
  • Single-cell omics provide cellular heterogeneity insights but lack spatial context.

Purpose of the Study:

  • To review the evolution and applications of spatial multi-omics technologies in gastric cancer research.
  • To explore how spatial profiling refines GC classification, identifies biomarkers, and decodes cellular interactions.
  • To highlight the role of spatial profiling in understanding resistance mechanisms and discuss clinical translation.

Main Methods:

  • Review of spatial technologies including transcriptomics, proteomics, metabolomics, genomics, and epigenomics.
  • Analysis of spatial multi-omics applications in dissecting GC heterogeneity and TME.
  • Exploration of spatial profiling's role in identifying biomarkers and resistance mechanisms.

Main Results:

  • Spatial multi-omics provide a high-definition dissection of GC heterogeneity, surpassing traditional methods.
  • These technologies refine molecular classification, identify novel biomarkers, and elucidate immune evasion and metastasis pathways.
  • Spatial profiling reveals mechanisms of resistance to various cancer therapies.

Conclusions:

  • Spatial multi-omics are essential for a comprehensive understanding of gastric cancer.
  • These advanced techniques hold significant promise for optimizing therapeutic efficacy and clinical translation.
  • Addressing current technical bottlenecks is key to fully realizing the clinical potential of spatial profiling in GC.