Evidence map›Paper›PMID 32726495›Full record

ReviewCancer science2020

Prognostic significance of spatial immune profiles in human solid cancers.

Takahiro Tsujikawa, Junichi Mitsuda, Hiroshi Ogi, Aya Miyagawa-Hayashino, Eiichi Konishi, Kyoko Itoh, Shigeru Hirano

Open access · goldAbstract readReview
In one paragraph

Review in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
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

36 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Immune biomarkers for head and neck cancer.Cancer immunology, immunotherapy : CII · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Clinical Proteomics for Solid Organ Tissues.Molecular & cellular proteomics : MCP · 2023
    Article
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

7 authors at 2 institutions in 2 countries.

Takahiro TsujikawaDepartment of Otolaryngology-Head & Neck Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0003-1647-342X
Junichi MitsudaDepartment of Otolaryngology-Head & Neck Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroshi OgiDepartment of Pathology and Applied Neurobiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Aya Miyagawa-HayashinoDepartment of Surgical Pathology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Eiichi KonishiDepartment of Surgical Pathology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kyoko ItohDepartment of Pathology and Applied Neurobiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Shigeru HiranoDepartment of Otolaryngology-Head & Neck Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kyoto Prefectural University of Medicine · JPOregon Health & Science University · US

Funding

Japan Society for the Promotion of Science 17H07016Japan Society for the Promotion of Science 19K18814The Oto-Rhino-Laryngological Society of Japan The research promotion awardThe public promoting association Asano foundation for studies on medicine
6 · The paper itself

Abstract

Immune-based tumor characteristics in the context of tumor heterogeneity are associated with suppression as well as promotion of cancer progression in various tumor types. As immunity typically functions based on intercellular contacts and short-distance cytokine communications, the location and spatial relationships of the tumor immune microenvironment can provide a framework to understand the biology and potential predictive biomarkers related to disease outcomes. Immune spatial analysis is a newly emerging form of cancer research based on recent methodological advances in in situ single-cell analysis, where cell-cell interaction and the tissue architecture can be analyzed in relation to phenotyping the tumor immune heterogeneity. Spatial characteristics of tumors can be stratified into the tissue architecture level and the single-cell level. At the tissue architecture level, the prognostic significance of the density of immune cell lineages, particularly T cells, is leveraged by understanding longitudinal changes in cell distribution in the tissue architecture such as intra-tumoral and peri-tumoral regions, and invasive margins. At the single-cell level, the proximity of the tumor to the immune cells correlates with disease aggressiveness and therapeutic resistance, providing evidence to understand biological interactions and characteristics of the tumor immune microenvironment. In this review, we summarize recent findings regarding spatial information of the tumor immune microenvironment and review advances and challenges in spatial single-cell analysis toward developing tissue-based biomarkers rooted in the immune spatial landscape.

Indexed as

Biomarkers, TumorHumansNeoplasmsPrognosisT-LymphocytesTumor MicroenvironmentBiomarkers, Tumorbiomarkermultiplex immunohistochemistrysingle-cell analysisspatial analysistumor immune microenvironment

Identifiers

PMID32726495
PMCPMC7540978
OpenAlexW3045892125

What OpenQuestion holds

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LicenceCC BY-NC
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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.