Evidence map›Paper›PMID 41782059›Full record

ReviewStem cell research & therapy2026

Retinoblastoma: unveiling molecular pathogenesis and pioneering organoid-driven therapeutic innovations.

Hua Li, Chenrui Jin

Abstract readReview
In one paragraph

Review in Stem cell research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

2 authors.

Hua Li *Department of Ophthalmology, The Affiliated Yongchuan Hospital of Chongqing Medical University, Yongchuan District, Chongqing, 402160, People's Republic of China. 2022220507@stu.cqmu.edu.cn.
Chenrui Jin *Optometry and Ophthalmology Medicine, The Fifth Clinical College of Chongqing Medical University, Shapingba District, Chongqing, 400000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoblastoma (RB), which is the most common pediatric intraocular malignancy driven by RB1 inactivation, presents with clinical challenges, such as treatment toxicity, relapse, and resistance. Traditional models inadequately replicate human RB genetics or tumor heterogeneity, warranting the development of advanced in vitro platforms. Retinal organoids generated from human pluripotent or patient-specific stem cells enable three-dimensional(3D) modeling of the tumor microenvironment, drug screening, and mechanistic studies. This review summarizes RB pathogenesis, including RB1 loss, MYCN amplification, epigenetic dysregulation (e.g., METTL3-mediated m6A), and dysregulated pathways (PI3K/AKT/mTOR, Hedgehog), and highlights CRISPR-engineered organoids for identifying cone precursors as tumor origins and validating therapies (CDK4/6 inhibitors and sunitinib). Despite these advances, organoid applications are limited by high costs, variable success rates, incomplete immune/vascular mimicry, and limited scalability. Current microfluidic systems partially address vascularization but lack functional perfusion. Future efforts should integrate multiomics, refine vascularization via 3D bioprinting, and develop immunocompetent models to address the disparity between preclinical research and clinical application. Organoid technology has the potential to advance personalized therapies and ultimately enhance the survival and quality of life of patients with RB worldwide.

Indexed as

OrganoidsRetinoblastomaAnimalsHumansTumor MicroenvironmentOrganoid modelPrecision medicineRetinoblastomaSignaling pathway

Identifiers

PMID41782059
PMCPMC12961845

What Socratic 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 Socratic graph.