Evidence mapPaperPMID 37359513Full record

ReviewFrontiers in immunology2023

Single-cell sequencing in primary intraocular tumors: understanding heterogeneity, the microenvironment, and drug resistance.

Lin-Feng He, Pei Mou, Chun-Hui Yang, Cheng Huang, Ya Shen, Jin-di Zhang, Rui-Li Wei

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Role of CD4Journal of translational medicine · 2025
    Review
  2. Review
  3. Article
  4. Review
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

7 authors at 2 institutions in 1 country.

Lin-Feng HeDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Pei MouDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Chun-Hui YangDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Cheng Huang92882 Troops of the Chinese People's Liberation Army, Qingdao, China.
Ya ShenDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Jin-di ZhangDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Rui-Li WeiDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Shanghai Changzheng Hospital · CNChinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinoblastoma (RB) and uveal melanoma (UM) are the most common primary intraocular tumors in children and adults, respectively. Despite continued increases in the likelihood of salvaging the eyeball due to advancements in local tumor control, prognosis remains poor once metastasis has occurred. Traditional sequencing technology obtains averaged information from pooled clusters of diverse cells. In contrast, single-cell sequencing (SCS) allows for investigations of tumor biology at the resolution of the individual cell, providing insights into tumor heterogeneity, microenvironmental properties, and cellular genomic mutations. SCS is a powerful tool that can help identify new biomarkers for diagnosis and targeted therapy, which may in turn greatly improve tumor management. In this review, we focus on the application of SCS for evaluating heterogeneity, microenvironmental characteristics, and drug resistance in patients with RB and UM.

Indexed as

MelanomaUveal NeoplasmsAdultChildDrug ResistanceHumansPrognosisTumor MicroenvironmentUveal Melanomaheterogeneitymicroenvironmentretinoblastomasingle-cell sequencinguveal melanoma

Identifiers

PMID37359513
PMCPMC10287964
OpenAlexW4380084269

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.