Evidence map›Paper›PMID 39327932›Full record

ArticleActa biochimica et biophysica Sinica2024

HADHA promotes esophageal cancer progression by activating mTOR signaling and the SP1/MDM2 axis.

Xusheng Ding, Longlong Shao, Jie Wang, Yongwei Jin, Haiqing Chen, Bin Li

Abstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Xusheng DingDepartments of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Longlong ShaoDepartments of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Jie WangDepartments of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yongwei JinDepartment of Thoracic Surgery, Fudan University Shanghai Cancer Center Xiamen Hospital, Xiamen 361026, China.
Haiqing ChenDepartments of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Bin LiDepartments of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) is one of the most recalcitrant cancers, with a 5-year survival rate of < 30%. The hydroxyacyl-CoA dehydrogenase alpha subunit (HADHA) plays an essential role in long-chain fatty acid metabolism, and dysregulation of HADHA has been demonstrated to be involved in a series of metabolic diseases and cancers. However, its role in cancers remains controversial. HADHA has seldom been investigated in EC, and little is known about how HADHA regulates the malignant progression of EC. In this study, we find that HADHA is significantly upregulated in EC tissues and is correlated with poor survival.

Indexed as

Esophageal NeoplasmsProto-Oncogene Proteins c-mdm2Signal TransductionSp1 Transcription FactorTOR Serine-Threonine KinasesAnimalsApoptosisCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMDM2 protein, humanMTOR protein, humanProto-Oncogene Proteins c-mdm2SP1 protein, humanSp1 Transcription FactorTOR Serine-Threonine Kinasesesophageal cancerHADHAMDM2mTOR signalingSP1

Identifiers

PMID39327932
PMCPMC11986453

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.