Evidence map›Paper›PMID 36467497›Full record

ArticleJournal of oncology2022

Cuprotosis Patterns Are Associated with Tumor Mutation Burden and Immune Landscape in Lung Adenocarcinoma.

Tingting Liu, Liangliang Cai, Hujia Hua, Xingyu Jiang, Xintian Xu, Tianyi Zhang, Wenqing Huang, Li Qian, Hua Bai, Jianchun Duan

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% of its field
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

5 citing papers in PubMed, 5 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

10 authors at 3 institutions in 1 country.

Tingting LiuCollege of Veterinary Medicine, Yangzhou University, Yangzhou 225001, China.
Liangliang CaiInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China.ORCID https://orcid.org/0000-0002-4850-1475
Hujia HuaInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China.
Xingyu JiangInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China.
Xintian XuInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China.
Tianyi ZhangInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China.
Wenqing HuangDepartment of Central Laboratory, Shanghai Children's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Li QianInstitute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, China.
Hua BaiCAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing 100021, China.
Jianchun DuanCAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing 100021, China.
Yangzhou University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNShanghai Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association involving cuprotosis, molecular subtype, and specific immune cell groups in the tumor microenvironment has been focused on by more recent studies. In lung adenocarcinoma (LUAD), the potential functions of cuprotosis remain elusive. Methods: The cuprotosis regulations and tumor immune profile of 567 LUAD patients and the correlation between the cuprotosis patterns and the immune landscape were comprehensively evaluated. The cuprotosisScore was calculated using principal component analysis (PCA). The prognostic significance of the cuprotosisScore was evaluated by Cox regression statistics analysis. Results: Five cuprotosisClusters (named mc1, 2, 3, 4, 5)-characterized by differences in expression of immunomodulatory genes, mRNA, or lncRNA expression, and prognosis were identified. We established cuprotosisScore to quantify the cuprotosis pattern of individual LUAD patients. As is shown in further analyses, the cuprotosisScore was a relatively potential independent prognostic factor of LUAD involved in mc1. Finally, the prognostic value of the cuprotosisScore and its association with tumor immune microenvironment (iTME) of LUAD in five cuprotosisClusters were verified. Conclusions: We demonstrated the correlation between cuprotosis modification, the molecular subtype, and tumor immune landscape in LUAD. The cuprotosisCluster with high cuprotosisScore and high tumor mutation burden (TMB) was identified with a good prognosis and immune functions. The comprehensive evaluation of cuprotosis patterns in individual LUAD patients enhances the understanding of iTME and gives a new insight toward improved immune treatment strategies for LUAD patients.

Identifiers

PMID36467497
PMCPMC9711958
OpenAlexW4309883312

What OpenQuestion holds

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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.