Evidence map›Paper›PMID 38034101›Full record

ReviewMedComm2023

Potential therapies targeting nuclear metabolic regulation in cancer.

Yanjie Chen, Jie Xu, Xiaoyi Liu, Linlin Guo, Ping Yi, Chunming Cheng

Abstract readReview
In one paragraph

Review in MedComm, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. UnravelingCancer drug resistance (Alhambra, Calif.) · 2025
    Article
  5. Review
  6. Article
  7. 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

6 authors.

Yanjie ChenDepartment of Obstetrics and Gynecology The Third Affiliated Hospital of Chongqing Medical University Chongqing China.
Jie XuDepartment of Obstetrics and Gynecology The Third Affiliated Hospital of Chongqing Medical University Chongqing China.
Xiaoyi LiuDepartment of Obstetrics and Gynecology The Third Affiliated Hospital of Chongqing Medical University Chongqing China.
Linlin GuoDepartment of Microbiology and Immunology The Indiana University School of Medicine Indianapolis Indiana USA.
Ping YiDepartment of Obstetrics and Gynecology The Third Affiliated Hospital of Chongqing Medical University Chongqing China.
Chunming ChengDepartment of Radiation Oncology James Comprehensive Cancer Center and College of Medicine at The Ohio State University Columbus Ohio USA.ORCID https://orcid.org/0000-0001-9036-1683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interplay between genetic alterations and metabolic dysregulation is increasingly recognized as a pivotal axis in cancer pathogenesis. Both elements are mutually reinforcing, thereby expediting the ontogeny and progression of malignant neoplasms. Intriguingly, recent findings have highlighted the translocation of metabolites and metabolic enzymes from the cytoplasm into the nuclear compartment, where they appear to be intimately associated with tumor cell proliferation. Despite these advancements, significant gaps persist in our understanding of their specific roles within the nuclear milieu, their modulatory effects on gene transcription and cellular proliferation, and the intricacies of their coordination with the genomic landscape. In this comprehensive review, we endeavor to elucidate the regulatory landscape of metabolic signaling within the nuclear domain, namely nuclear metabolic signaling involving metabolites and metabolic enzymes. We explore the roles and molecular mechanisms through which metabolic flux and enzymatic activity impact critical nuclear processes, including epigenetic modulation, DNA damage repair, and gene expression regulation. In conclusion, we underscore the paramount significance of nuclear metabolic signaling in cancer biology and enumerate potential therapeutic targets, associated pharmacological interventions, and implications for clinical applications. Importantly, these emergent findings not only augment our conceptual understanding of tumoral metabolism but also herald the potential for innovative therapeutic paradigms targeting the metabolism-genome transcriptional axis.

Indexed as

cancer therapyDNA methylationhistone modificationsnuclear metabolic enzymesnuclear metabolic signalingtumor metabolism

Identifiers

PMID38034101
PMCPMC10685089

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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.