Evidence map›Paper›PMID 39294747›Full record

ReviewMolecular cancer2024

Spatiotemporal metabolomic approaches to the cancer-immunity panorama: a methodological perspective.

Yang Xiao, Yongsheng Li, Huakan Zhao

Abstract readReview
In one paragraph

Review in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–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

41 citing papers in PubMed.

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  5. Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026
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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

3 authors.

Yang XiaoChongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China.
Yongsheng LiChongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China. lys@cqu.edu.cn.
Huakan ZhaoChongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400044, China. hk_zhao@cqu.edu.cn.

Funding

National Natural Science Foundation of China 81920108027National Natural Science Foundation of China 82273212
6 · The paper itself

Abstract

Metabolic reprogramming drives the development of an immunosuppressive tumor microenvironment (TME) through various pathways, contributing to cancer progression and reducing the effectiveness of anticancer immunotherapy. However, our understanding of the metabolic landscape within the tumor-immune context has been limited by conventional metabolic measurements, which have not provided comprehensive insights into the spatiotemporal heterogeneity of metabolism within TME. The emergence of single-cell, spatial, and in vivo metabolomic technologies has now enabled detailed and unbiased analysis, revealing unprecedented spatiotemporal heterogeneity that is particularly valuable in the field of cancer immunology. This review summarizes the methodologies of metabolomics and metabolic regulomics that can be applied to the study of cancer-immunity across single-cell, spatial, and in vivo dimensions, and systematically assesses their benefits and limitations.

Indexed as

MetabolomicsNeoplasmsTumor MicroenvironmentAnimalsHumansMetabolomeCancer-immunityImmunometabolismMetabolic regulomicsMetabolomicsSingle cellSpatiotemporal omics

Identifiers

PMID39294747
PMCPMC11409752

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.