Evidence map›Paper›PMID 40908872›Full record

ArticleActa biochimica et biophysica Sinica2025

The ACSS2-PPARD-BCAT1 axis synchronously regulates branched-chain amino acid metabolism and development in pancreatic cancer.

Haidi Chen, Zeng Ye, Lijun Liu, Wenyan Xu, Yihua Shi, Shunrong Ji, Xiaowu Xu, Xianjun Yu, Sen Hou, Yi Qin and 1 more

Abstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2025. 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. Article
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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

11 authors.

Haidi ChenDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Zeng YeDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Lijun LiuDepartment of Hepatobiliary and Pancreatic Surgery, Xuchang Central Hospital, Xuchang 461000, China.
Wenyan XuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yihua ShiDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shunrong JiDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Xiaowu XuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Xianjun YuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Sen HouDepartment of Hepatobiliary and Pancreatic Surgery, Xuchang Central Hospital, Xuchang 461000, China.
Yi QinDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Chenjie ZhouDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characteristics of the tumor microenvironment (TME) of pancreatic cancer include an abundant stroma, hypoxia, insufficient blood supply and high degree of immunosuppression. Therefore, overcoming the TME conditions to reach a hypermetabolic state is a concern for the treatment of pancreatic cancer. Previous studies have demonstrated that tumor cells adapt to the TME by activating or increasing the expression level of ACSS2 under metabolic stress. Our study focuses mainly on the relationship between ACSS2 and amino acid metabolism. We find that ACSS2 is generally highly expressed and promotes the proliferation and invasiveness of pancreatic cancer. Knockout of

Indexed as

acetylationACSS2BCAABCAT1pancreatic cancerPPARD

Identifiers

PMID40908872
PMCPMC13107011

What OpenQuestion holds

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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.