Evidence map›Paper›PMID 36376874›Full record

ReviewJournal of biomedical science2022

Spatial multi-omics analyses of the tumor immune microenvironment.

Wan-Chen Hsieh, Bugi Ratno Budiarto, Yi-Fu Wang, Chih-Yu Lin, Mao-Chun Gwo, Dorothy Kazuno So, Yi-Shiuan Tzeng, Shih-Yu Chen

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of biomedical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 2 pooled it
11.3field-weighted citation impact, top 1% 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

132 citing papers in PubMed, 2 syntheses or guidelines pooled it, 144 citations in OpenAlex.

  1. Pooled it
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  3. Immunophenotyping by Spatial Biology.Methods in molecular biology (Clifton, N.J.) · 2027
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72 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

8 authors at 3 institutions in 1 country.

Wan-Chen HsiehInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Bugi Ratno BudiartoInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Yi-Fu WangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chih-Yu LinInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Mao-Chun GwoInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Dorothy Kazuno SoInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Yi-Shiuan TzengInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan. yishiuantzeng@ibms.sinica.edu.tw.
Shih-Yu ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan. sychen@ibms.sinica.edu.tw.ORCID http://orcid.org/0000-0002-7955-481X
Institute of Biomedical Sciences, Academia Sinica · TWNational Taiwan University · TWNational Yang Ming Chiao Tung University · TW

Funding

College of Medicine, National Taiwan University NTUH 110-T20Institute of Biomedical Sciences, Academia Sinica AS-CDA-110-L09Institute of Biomedical Sciences, Academia Sinica AS-GC-110-05Institute of Biomedical Sciences, Academia Sinica AS-GCS-111-L03Institute of Biomedical Sciences, Academia Sinica AS-KPQ-110-EIMDInstitute of Biomedical Sciences, Academia Sinica VTA111-V3-1-2Ministry of Science and Technology, Taiwan MOST109-2320-B-001-017-MY3
6 · The paper itself

Abstract

In the past decade, single-cell technologies have revealed the heterogeneity of the tumor-immune microenvironment at the genomic, transcriptomic, and proteomic levels and have furthered our understanding of the mechanisms of tumor development. Single-cell technologies have also been used to identify potential biomarkers. However, spatial information about the tumor-immune microenvironment such as cell locations and cell-cell interactomes is lost in these approaches. Recently, spatial multi-omics technologies have been used to study transcriptomes, proteomes, and metabolomes of tumor-immune microenvironments in several types of cancer, and the data obtained from these methods has been combined with immunohistochemistry and multiparameter analysis to yield markers of cancer progression. Here, we review numerous cutting-edge spatial 'omics techniques, their application to study of the tumor-immune microenvironment, and remaining technical challenges.

Indexed as

NeoplasmsProteomicsBiomarkersBiomarkers, TumorGenomicsHumansTranscriptomeTumor MicroenvironmentBiomarkersBiomarkers, TumorHeterogeneityMulti-omicsSpatialTumor-immune microenvironment (TIME)

Identifiers

PMID36376874
PMCPMC9661775
OpenAlexW4308972645

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.