Evidence map›Paper›PMID 40791180›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

ACSS2/AATF Drives Soluble FasL-Mediated CD8

Qin Dang, Ting Wang, Yan Wang, Zeng Ye, Borui Li, Xuan Pan, Zheng Li, Guixiong Fan, Desheng Jing, Junfeng Xu and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. ACSS2/AATF Drives Soluble FasL-Mediated CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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

15 authors.

Qin DangDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Ting WangDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yan WangDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Zeng YeDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Borui LiDepartment of Hepatopancreatobilary Surgery, the First College of Clinical Medical Science, Three Gorges University, Yichang, Hubei, 443001, China.
Xuan PanDepartment of Hepatobiliary Surgery, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, 241001, China.
Zheng LiDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Guixiong FanDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Desheng JingDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Junfeng XuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Qiangsheng HuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, 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.
Yi QinDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.ORCID https://orcid.org/0000-0001-9804-202X

Funding

China Postdoctoral Science Foundation 2023M730670Clinical Research Plan of Shanghai Hospital Development Center SHDC2020CR1006ANational Natural Science Foundation of China 82141129National Natural Science Foundation of China 82173281National Natural Science Foundation of China 82303943National Natural Science Foundation of China 82403099National Natural Science Foundation of China 82472791National Natural Science Foundation of China U21A20374Natural Science Foundation of Shanghai 25ZR1401065Sailing Project of Science and Technology Commission of Shanghai Municipality 23YF1406900Science and Technology Commission of Shanghai Municipality YDZX20243100002003Shanghai Municipal Health Commission's Collaborative Guidance Project for Traditional Chinese and Western Medicine ZXXT-202201Shanghai Municipal Science and Technology Major Project 21JC1401500Xuhui District Artificial Intelligence Medical Hospital Cooperation Project 2021-011
6 · The paper itself

Abstract

Besides the traditional carbon sources, Acetyl coenzyme A has recently been shown to be generated from acetate in various cancers, which subsequently promotes tumor growth and immune escape. However, the mechanism of Acetyl coenzyme A availability in pancreatic neuroendocrine tumors (PNETs) remains largely unknown. Herein, the metabolic-epigenetic modification driven by acetyl coenzyme A synthase 2 (ACSS2) and its effect on the Fas/FasL system in PNETs is investigated. ACSS2 is highly expressed in PNETs and significantly correlated with patient prognosis. Mechanistically, ACSS2 activity or acetate supplementation induces histone H3/H4 hyperacetylated in PNET cells. This epigenetic modification recruits the transcription factor AATF to co-regulate FasL transcription, specifically enhancing soluble FasL secretion. Secreted FasL binds Fas receptors on CD8

Indexed as

Acetate-CoA LigaseApoptosisCD8-Positive T-LymphocytesFas Ligand ProteinNeuroendocrine TumorsPancreatic NeoplasmsAnimalsCell Line, TumorEpigenesis, GeneticHumansMaleMiceAcetate-CoA LigaseFASLG protein, humanFas Ligand ProteinAATFAcetyl‐CoAACSS2Fas/FasL pathwaypancreatic neuroendocrine tumors

Identifiers

PMID40791180
PMCPMC12561415

What OpenQuestion holds

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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 OpenQuestion graph.