Evidence map›Paper›PMID 35040595›Full record

ReviewClinical and translational medicine2022

Spatial omics: Navigating to the golden era of cancer research.

Yingcheng Wu, Yifei Cheng, Xiangdong Wang, Jia Fan, Qiang Gao

Abstract readReview
In one paragraph

Review in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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  5. Decoding the breast cancer microenvironment by spatial multi-omics: from architecture to clinical translation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. From spatial maps to therapeutic targets: Next challenge for artificial intelligence in cancer spatial omics.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Insights gained from single-cell sequencing analysis of ischemic stroke.Frontiers in cell and developmental biology · 2026
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yingcheng WuCenter for Tumor Diagnosis & Therapy and Department of Cancer Center, Jinshan Hospital and Jinshan Branch of Zhongshan Hospital, Zhongshan Hospital, Fudan University, Shanghai, 200540, China.ORCID https://orcid.org/0000-0001-9473-546X
Yifei ChengDepartment of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiangdong WangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Jinshan Hospital Centre for Tumor Diagnosis and Therapy, Fudan University Shanghai Medical College, Shanghai, China.ORCID https://orcid.org/0000-0002-8406-7928
Jia FanDepartment of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Qiang GaoCenter for Tumor Diagnosis & Therapy and Department of Cancer Center, Jinshan Hospital and Jinshan Branch of Zhongshan Hospital, Zhongshan Hospital, Fudan University, Shanghai, 200540, China.ORCID https://orcid.org/0000-0002-6695-9906

Funding

National Natural Science Foundation of China 81961128025National Natural Science Foundation of China 91942313Program of Shanghai Academic Research Leader 19XD1420700Sanming Project of Medicine in Shenzhen SZSM202003009Shanghai Municipal Key Clinical Specialty
6 · The paper itself

Abstract

The idea that tumour microenvironment (TME) is organised in a spatial manner will not surprise many cancer biologists; however, systematically capturing spatial architecture of TME is still not possible until recent decade. The past five years have witnessed a boom in the research of high-throughput spatial techniques and algorithms to delineate TME at an unprecedented level. Here, we review the technological progress of spatial omics and how advanced computation methods boost multi-modal spatial data analysis. Then, we discussed the potential clinical translations of spatial omics research in precision oncology, and proposed a transfer of spatial ecological principles to cancer biology in spatial data interpretation. So far, spatial omics is placing us in the golden age of spatial cancer research. Further development and application of spatial omics may lead to a comprehensive decoding of the TME ecosystem and bring the current spatiotemporal molecular medical research into an entirely new paradigm.

Indexed as

Biomedical ResearchSpatial AnalysisNeoplasmsPrecision MedicineTumor Microenvironmentcancer ecologysingle-cell RNA-seqspatial omicstumour microenvironment

Identifiers

PMID35040595
PMCPMC8764875

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.