Evidence map›Paper›PMID 37692956›Full record

ArticleAmerican journal of translational research2023

Use of tumor suppressor genes of naked mole rats for human cancer treatment.

Pu Xia, Xiao-Yan Xu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. 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, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Pu XiaBiological Anthropology Institute, College of Basic Medical Science, Jinzhou Medical University Jinzhou, Liaoning, P. R. China.
Xiao-Yan XuDepartment of Pathophysiology, College of Basic Medical Science, China Medical University Shenyang, Liaoning, P. R. China.
Jinzhou Medical University · CNShenyang Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer not only has a significant prevalence in the human population, but is also leading cause of death in animals. Despite a long history, our battle against cancer continues. Cross-species comparative genomics offers insight into shared genes and pathways by analyzing genomic data across species, enhancing our understanding of cancer mechanisms, evolutionary processes, and possible therapeutic targets. However, no previous study has demonstrated the inhibitory effects of tumor suppressor genes from one species on tumor cells from another. The naked mole rat is the only mammal yet to be found with cancer that is attributed to its tumor suppressor genes. In this study, we constructed phylogenetic trees and assessed the anti-tumor activity of two suppressor genes, programmed cell death molecule 5 (PDCD5) and dickkopf 3 (DKK3), from rats, mice, and humans. DKK3 robustly inhibited the proliferation of breast cancer cells within and across species due to its highly conserved protein sequence. However, the cross-species inhibitory effect of PDCD5 on breast cancer cells was inconsistent due to significant sequence variations. Intriguingly, PDCD5 from the naked mole rat demonstrated potent anti-tumor activity against breast cancer cells from mice, rats, and humans, surpassing that of PDCD5 from parental species. Our results demonstrate that the suppressor genes from the naked mole rat have a strong inhibitory effect on cancer cells, indicating that the powerful anti-cancer functions of the naked mole rat may be useful for human tumor treatment.

Indexed as

cancercross species comparisonEvolutiontarget therapytumor suppressor gene

Identifiers

PMID37692956
PMCPMC10492090
OpenAlexW4386593290

What OpenQuestion holds

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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.