Evidence map›Paper›PMID 40672944›Full record

ReviewFrontiers in immunology2025

Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.

Yumeng Li, Hua Qiu, Zhenzhen Zhao, Fanghua Qi, Pingping Cai

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Yumeng Li *The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Hua Qiu *Gynecology, Jinan Municipal Hospital of Traditional Chinese Medicine, Jinan, China.
Zhenzhen Zhao *The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Fanghua QiTraditional Chinese Medicine, Shandong Provincial Hospital Affiliated with Shandong First Medical University, Jinan, China.
Pingping CaiTraditional Chinese Medicine, Shandong Provincial Hospital Affiliated with Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, endometrial cancer continues to impact a significant number of women. Immunotherapy provides those suffering from advanced or relapsed disease hope, but an important barrier is still the absence of trustworthy predictive biomarkers. To tackle this challenge, single-cell sequencing and spatial transcriptomics (ST) are increasingly applied. In cervical cancers of the no specific molecular profile (NSMP) subtype accompanied by p53 mutations. In many cases, the tumor microenvironment (TME) in endometrial cancer exhibits strong immunosuppression or poor immune cell infiltration, often leading to worse clinical outcomes. Single-cell sequencing reveals cellular heterogeneity and helps identify potential therapeutic targets and predict treatment responses. Conversely, ST assists in determining biomarkers that influence the effectiveness of immunotherapy by capturing the spatial organization of tumors. When combined, these technologies allow for integrated multi-omics analysis that aids in the development of immunotherapies, prognostication, and diagnosis. But there are still moral and legal issues. Clinicians may be able to improve outcomes for patients who don't respond well to current immunotherapies by utilizing these combined approaches.

Indexed as

Endometrial NeoplasmsGene Expression ProfilingSingle-Cell AnalysisTranscriptomeBiomarkers, TumorFemaleHumansImmunotherapyTumor MicroenvironmentBiomarkers, Tumorendometrial cancerimmunotherapysingle-cell sequencingspatial transcriptomicstumor microenvironment (TME)

Identifiers

PMID40672944
PMCPMC12263668

What Socratic holds

Textmetadata
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 Socratic graph.