Evidence map›Paper›PMID 37006256›Full record

ArticleFrontiers in immunology2023

Histone acetylation-related IncRNA: Potential biomarkers for predicting prognosis and immune response in lung adenocarcinoma, and distinguishing hot and cold tumours.

Rumeng Li, Tingting Qiu, Qiangqiang Zhou, Fajian He, Chen Jie, Xinyu Zheng, Zeguang Lu, Qiuji Wu, Conghua Xie

Abstract read
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Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Rumeng LiDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Tingting QiuJiangxi Cancer Hospital, The Second Affiliated Hospital of Nanchang Medical College, Jiangxi Clinical Research Center for Cancer, Nanchang, China.
Qiangqiang ZhouDepartment of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fajian HeDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Chen JieDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xinyu ZhengDepartment of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
Zeguang LuThe Second Clinical College of Guangzhou Medical University, Guangzhou, China.
Qiuji WuDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Conghua XieDepartment of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Histone acetylation-related lncRNAs (HARlncRNAs) play significant roles in various cancers, but their impact on lung adenocarcinoma (LUAD) remains unclear. This study aimed to develop a new HARlncRNA-based prognostic model for LUAD and to explore its potential biological mechanisms. Methods: We identified 77 histone acetylation genes based on previous studies. HARlncRNAs related to prognosis were screened by co-expression, univariate and multivariate analyses, and least absolute shrinkage selection operator regression (LASSO). Afterward, a prognostic model was established based on the screened HARlncRNAs. We analysed the relationship between the model and immune cell infiltration characteristics, immune checkpoint molecule expression, drug sensitivity, and tumour mutational burden (TMB). Finally, the entire sample was divided into three clusters to further distinguish between hot and cold tumours. Results: A seven-HARlncRNA-based prognostic model was established for LUAD. The area under the curve (AUC) of the risk score was the highest among all the analysed prognostic factors, indicating the accuracy and robustness of the model. The patients in the high-risk group were predicted to be more sensitive to chemotherapeutic, targeted, and immunotherapeutic drugs. It was worth noting that clusters could effectively identify hot and cold tumours. In our study, clusters 1 and 3 were considered hot tumours that were more sensitive to immunotherapy drugs. Conclusion: We developed a risk-scoring model based on seven prognostic HARlncRNAs that promises to be a new tool for evaluating the prognosis and efficacy of immunotherapy in patients with LUAD.

Indexed as

AdenocarcinomaHistonesAcetylationBiomarkersHumansImmunityLungPrognosisBiomarkersHistonesbiomarkerdrug sensitivityepigeneticshistone acetylationlong noncoding RNAslung adenocarcinoma

Identifiers

PMID37006256
PMCPMC10064094

What Socratic 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 Socratic graph.