Evidence map›Paper›PMID 42238311›Full record

ReviewGenes & diseases2026

CXorf67 in malignancies: Deciphering epigenetic landscapes and clinical implications for precision oncology.

Xinning Yu, Huatao Wu, Yangzheng Lan, Wenjia Chen, Jing Liu

Abstract readReview
In one paragraph

Review in Genes & diseases, 2026. 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.

Xinning YuThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China.
Huatao WuDepartment of General Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China.
Yangzheng LanThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China.
Wenjia ChenThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China.
Jing LiuThe Breast Center, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong 515041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging focus on epigenetic regulation in cancer biology has unveiled the significant role of CXorf67, a protein encoded by a gene on the X chromosome. CXorf67 interacts with core components of PRC2, namely EZH2 and SUZ12, thereby influencing histone modifications like H3K27me3. Research indicates that CXorf67 is overexpressed in specific malignancies, including posterior fossa ependymomas, diffuse midline glioma, endometrial stromal sarcoma, non-small cell lung cancer, and Merkel cell carcinoma. In posterior fossa ependymomas and diffuse midline glioma, CXorf67 mimics the oncogenic histone H3K27M, inhibiting PRC2 function and altering chromatin states. In endometrial stromal sarcoma, CXorf67 forms fusion genes with MBTD1, potentially disrupting polycomb group (PcG) functions. Additionally, CXorf67's interaction with PALB2 affects the BRCA1-PALB2-BRCA2 complex, influencing DNA repair mechanisms. These findings highlight CXorf67's dual role in epigenetic regulation and DNA damage response, suggesting its potential as a therapeutic target. However, further research is needed to explore its functions in other cancers and clarify its molecular mechanisms. Our review synthesizes current knowledge on CXorf67's biological significance, particularly in epigenetics and DNA damage, and its implications in oncogenesis.

Indexed as

CXorf67DNA damageEpigeneticsMalignanciesTherapeutic target

Identifiers

PMID42238311
PMCPMC13226146

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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.