Evidence map›Paper›PMID 42415742›Full record

ArticleHuman mutation2026

Single-Cell and Multiomics Characterization of p21 in Cancer Progression and Therapeutic Sensitivity.

Wenyang Zhang, Qinglong Ma, Honghui Zhao, Wenrun Li, Zidong Feng, Linghui Zhong, Yaru Ren, Lin Chang, Yonghong Li, Lei Shi

Abstract read
In one paragraph

Article in Human mutation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Wenyang ZhangRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Qinglong MaRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Honghui ZhaoRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Wenrun LiRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Zidong FengRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Linghui ZhongRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Yaru RenRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Lin ChangRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.
Yonghong LiRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.ORCID https://orcid.org/0000-0002-5198-3786
Lei ShiRNA Oncology Group, School of Public Health, Lanzhou University, Lanzhou, China, lzu.edu.cn.ORCID https://orcid.org/0000-0003-4027-2396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: We performed an integrative multiomics analysis combining bulk transcriptomics, single-cell RNA sequencing (scRNA-seq), and functional assays across multiple cancer types. Publicly available datasets were used to assess Results: Pancancer analysis revealed that Discussion: By delineating its function at single-cell resolution, we identify

Indexed as

Cyclin-Dependent Kinase Inhibitor p21NeoplasmsSingle-Cell AnalysisCell Line, TumorCell ProliferationDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMultiomicsSignal TransductionSingle-Cell Gene Expression AnalysisTumor MicroenvironmentCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21CDKN1A/p21cell cycleprognostic biomarkerscRNA-seqtumor microenvironment

Identifiers

PMID42415742
PMCPMC13338575

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.