Evidence map›Paper›PMID 41238845›Full record

ArticleScientific reports2025

Comprehensive analysis of single-cell and bulk RNA sequencing uncover tumor microenvironment diversity in invasive Retinoblastoma.

Wei Wan, Xiaoqian Chen, Hongli Liu, Ling Yang, Pingping Huang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wei Wan *Eye Center, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, People's Republic of China.
Xiaoqian Chen *Eye Center, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, People's Republic of China.
Hongli LiuEye Center, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, People's Republic of China.
Ling YangEye Center, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, People's Republic of China. 627499145@qq.com.
Pingping HuangEye Center, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei Province, People's Republic of China. 15802798821@163.com.

Funding

the Hubei Provincial Key Laboratory Open Project 2022KFH019the Hubei Provincial Key Laboratory Open Project in 2022 2022KFH012
6 · The paper itself

Abstract

In this study, we analyzed publicly available scRNA-seq data from primary tumor tissues of 10 Retinoblastoma (RB) patients to explore tumor microenvironment (TME) heterogeneity. Our findings revealed distinct subpopulations of cone precursor (CP) cells, with higher proportions in invasive RB. Differential gene expression and pathway analysis highlighted functional diversity among CP subpopulations, with CP4 showing elevated TGF-β signaling in invasive RB. Cell-cell interaction analysis further identified rewiring of communication networks, with increased fibroblast-CP interactions in invasive tumors. Bulk RNA-seq identified two molecular subtypes, with subtype 1 showing an immunosuppressive TME. Finally, DOK7 was identified as a key gene associated with invasion, with functional assays confirming its role in promoting tumor progression. These results provide valuable insights into RB progression and potential therapeutic targets.

Indexed as

Retinal NeoplasmsRetinoblastomaSingle-Cell AnalysisTumor MicroenvironmentCell CommunicationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm InvasivenessSequence Analysis, RNASignal Transduction

Identifiers

PMID41238845
PMCPMC12618654

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.