Evidence map›Paper›PMID 38617534›Full record

ReviewInternational journal of biological sciences2024

Advancements in technology for characterizing the tumor immune microenvironment.

Honglin Yan, Xianli Ju, Aoling Huang, Jingping Yuan

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Roles of mitophagy and immune infiltration in Parkinson's disease: new perspectives from bioinformatics analysis and A53T transgenic mice.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 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

4 authors.

Honglin YanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Xianli JuDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Aoling HuangDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Jingping YuanDepartment of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy plays a key role in cancer treatment, however, responses are limited to a small number of patients. The biological basis for the success of immunotherapy is the complex interaction between tumor cells and tumor immune microenvironment (TIME). Historically, research on tumor immune constitution was limited to the analysis of one or two markers, more novel technologies are needed to interpret the complex interactions between tumor cells and TIME. In recent years, major advances have already been made in depicting TIME at a considerably elevated degree of throughput, dimensionality and resolution, allowing dozens of markers to be labeled simultaneously, and analyzing the heterogeneity of tumour-immune infiltrates in detail at the single cell level, depicting the spatial landscape of the entire microenvironment, as well as applying artificial intelligence (AI) to interpret a large amount of complex data from TIME. In this review, we summarized emerging technologies that have made contributions to the field of TIME, and provided prospects for future research.

Indexed as

Artificial IntelligenceImmunotherapyHumansTechnologyTumor MicroenvironmentArtificial intelligenceCytometry-based techniquesMultiplexing imaging techniquesRNA sequencingTumor immune microenvironment

Identifiers

PMID38617534
PMCPMC11008272

What OpenQuestion holds

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Registered trials

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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.