Evidence map›Paper›PMID 41562186›Full record

ArticleGenes, chromosomes & cancer2026

Molecular Landscape of TP53/RB1 Co-Altered Tumors Uncovers Emerging Therapeutic Vulnerabilities.

Xuetao Li, Meifeng Ye, Xiaomei Huang, Zhong-Yin Huang, Juan Zhu, Zipeng He, Zhuxiang Zhao, Jun Hou, Shuquan Wei

Abstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Comprehensive analysis ofJournal of thoracic disease · 2026
    Article
  3. 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

9 authors.

Xuetao LiDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.ORCID 0009-0009-7323-0388
Meifeng YeDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Xiaomei HuangDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Zhong-Yin HuangDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Juan ZhuDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Zipeng HeDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Zhuxiang ZhaoDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.ORCID 0000-0003-3638-298X
Jun HouInstitute of Clinical Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.ORCID 0000-0003-4089-6086
Shuquan WeiDepartment of Pulmonary and Critical Care Medicine, Guangzhou First People's Hospital, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.

Funding

National Natural Science Foundation of China No. 82400118Science and Technology Program of Guangzhou 2024A03J0960
6 · The paper itself

Abstract

backgroundAlthough TP53 and RB1 co-alterations play critical roles in promoting malignant development and progression, specific inhibitors targeting this co-alteration are lacking. We performed a pan-cancer analysis to characterize the biology of TP53/RB1 co-alterations and identify therapeutic strategies.

methodsWe analyzed mutation data and copy number variation (CNV) data from 42 371 pan-cancer samples across 26 cancer types from the cBioPortal database. Among them, 2417 tumors with TP53/RB1 co-alterations were used for further analysis. We characterized their epidemiology and molecular biology. Therapeutic vulnerabilities of co-altered tumors were examined using Cancer Cell Line Encyclopedia drug screening datasets.

resultsTP53/RB1 co-alterations occurred in 5.70% of pan-cancer cases but exhibit striking heterogeneity across cancer types. Patients harboring co-alterations had significantly shorter overall survival (OS) in both primary and metastatic settings and poorer response to immune checkpoint inhibitors. Co-altered tumors displayed frequent alterations in chromatin remodeling genes (CREBBP, ARID1A, and KMT2D) and PI3K pathway (PIK3CA and PTEN), but with distinct tissue-specific mutational patterns: EGFR mutations dominated in lung adenocarcinoma (52%), KRAS in pancreatic cancer (88%), and APC in colorectal cancer (77%). Moreover, upregulated genes in co-altered tumors enriched in cell cycle pathways, DNA repair, and neuronal development, whereas immune/inflammatory signaling was suppressed. Critically, drug screening revealed that co-altered tumors showed increased sensitivity to CDK, AURKA, and PI3K/mTOR inhibitors, but resistance to MAPK/ERK pathway inhibitors.

conclusionsTP53/RB1 co-alterations define an aggressive cancer subset with dysregulated cell cycle/chromatin pathways and reduced immunotherapy response. Targeting CDK, AURKA, or PI3K signaling offers promising therapeutic strategies.

Indexed as

NeoplasmsRetinoblastoma Binding ProteinsTumor Suppressor Protein p53DNA Copy Number VariationsGene Expression Regulation, NeoplasticHumansMutationUbiquitin-Protein LigasesRB1 protein, humanRetinoblastoma Binding ProteinsTP53 protein, humanTumor Suppressor Protein p53Ubiquitin-Protein Ligasesco‐alterationspan‐cancerRB1therapeutic vulnerabilityTP53

Identifiers

PMID41562186
PMCPMC12820914

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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.