Evidence map›Paper›PMID 40046406›Full record

ReviewMedComm2025

Metabolic reprogramming in cancer and senescence.

Yuzhu Zhang, Jiaxi Tang, Can Jiang, Hanxi Yi, Shu Guang, Gang Yin, Maonan Wang

Abstract readReview
In one paragraph

Review in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

7 authors.

Yuzhu ZhangDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.
Jiaxi TangDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.
Can JiangDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.
Hanxi YiDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.
Shu GuangDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.
Gang YinDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.ORCID https://orcid.org/0000-0003-3753-0753
Maonan WangDepartment of Pathology Xiangya Hospital School of Basic Medical Sciences Central South University Changsha China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising trend in global cancer incidence has caused widespread concern, one of the main reasons being the aging of the global population. Statistical data show that cancer incidence and mortality rates show a clear upward trend with age. Although there is a commonality between dysregulated nutrient sensing, which is one of the main features of aging, and metabolic reprogramming of tumor cells, the specific regulatory relationship is not clear. This manuscript intends to comprehensively analyze the relationship between senescence and tumor metabolic reprogramming; as well as reveal the impact of key factors leading to cellular senescence on tumorigenesis. In addition, this review summarizes the current intervention strategies targeting nutrient sensing pathways, as well as the clinical cases of treating tumors targeting the characteristics of senescence with the existing nanodelivery research strategies. Finally, it also suggests sensible dietary habits for those who wish to combat aging. In conclusion, this review attempts to sort out the link between aging and metabolism and provide new ideas for cancer treatment.

Indexed as

agingmetabolic reprogrammingmitochondrial dysfunctionsignaling pathwaystumor

Identifiers

PMID40046406
PMCPMC11879902

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.