Evidence map›Paper›PMID 37330494›Full record

ArticleBMC cancer2023

Comprehensive analysis identifies cuproptosis-related gene DLAT as a potential prognostic and immunological biomarker in pancreatic adenocarcinoma.

Xiaoling Zhang, Yuxin Zhou, Jiahe Hu, Xuefeng Yu, Haitao Xu, Zhichang Ba, Haoxin Zhang, Yanan Sun, Rongfang Wang, Xinlian Du and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Xiaoling Zhang *Department of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Yuxin Zhou *Department of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Jiahe Hu *Department of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Xuefeng YuDepartment of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Haitao XuDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Zhichang BaMedical Imaging Center, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Haoxin ZhangDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Yanan SunDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Rongfang WangDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Xinlian DuDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Ruishu MouDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Xuedong LiDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Jiuxin ZhuDepartment of Pharmacology (National Key Laboratory of Frigid Zone Cardiovascular Diseases, State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Medicine Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, 150081, China. zhujiuxin@hrbmu.edu.cn.
Rui XieDepartment of Digestive Internal Medicine, Harbin Medical University Cancer Hospital, Harbin, 150081, China. rxie@hrbmu.edu.cn.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

Beijing Medical Award Foundation YXJL-2021-0268-0332Haiyan Foundation of Harbin Medical University Cancer Hospital JJMS2021-03Haiyan Foundation of Harbin Medical University Cancer Hospital JJMS2021-22Haiyan Foundation of Harbin Medical University Cancer Hospital JJMS2021-23National Natural Science Foundation of China 82073301
6 · The paper itself

Abstract

backgroundCuproptosis is a regulated cell death form associated with tumor progression, clinical outcomes, and immune response. However, the role of cuproptosis in pancreatic adenocarcinoma (PAAD) remains unclear. This study aims to investigate the implications of cuproptosis-related genes (CRGs) in PAAD by integrated bioinformatic methods and clinical validation.

methodsGene expression data and clinical information were downloaded from UCSC Xena platform. We analyzed the expression, mutation, methylation, and correlations of CRGs in PAAD. Then, based on the expression profiles of CRGs, patients were divided into 3 groups by consensus clustering algorithm. Dihydrolipoamide acetyltransferase (DLAT) was chosen for further exploration, including prognostic analysis, co-expression analysis, functional enrichment analysis, and immune landscape analysis. The DLAT-based risk model was established by Cox and LASSO regression analysis in the training cohort, and then verified in the validation cohort. Quantitative reverse transcriptase polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) assays were performed to examine the expression levels of DLAT in vitro and in vivo, respectively.

resultsMost CRGs were highly expressed in PAAD. Among these genes, increased DLAT could serve as an independent risk factor for survival. Co-expression network and functional enrichment analysis indicated that DLAT was engaged in multiple tumor-related pathways. Moreover, DLAT expression was positively correlated with diverse immunological characteristics, such as immune cell infiltration, cancer-immunity cycle, immunotherapy-predicted pathways, and inhibitory immune checkpoints. Submap analysis demonstrated that DLAT-high patients were more responsive to immunotherapeutic agents. Notably, the DLAT-based risk score model possessed high accuracy in predicting prognosis. Finally, the upregulated expression of DLAT was verified by RT-qPCR and IHC assays.

conclusionsWe developed a DLAT-based model to predict patients' clinical outcomes and demonstrated that DLAT was a promising prognostic and immunological biomarker in PAAD, thereby providing a new possibility for tumor therapy.

Indexed as

AdenocarcinomaPancreatic NeoplasmsApoptosisBiomarkersCopperDihydrolipoyllysine-Residue AcetyltransferaseHumansPrognosisBiomarkersCopperDihydrolipoyllysine-Residue AcetyltransferaseCuproptosisDLATImmunotherapyPancreatic adenocarcinomaPrognosis

Identifiers

PMID37330494
PMCPMC10276918
OpenAlexW4381033612

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LicenceCC BY
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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.