Evidence map›Paper›PMID 39068458›Full record

ArticleCancer cell international2024

Integrative analysis of aging-related genes reveals CEBPA as a novel therapeutic target in non-small cell lung cancer.

Jiaqi Zhu, Xiaoren Zhu, Conglin Shi, Qixuan Li, Yun Jiang, Xingyou Chen, Pingping Sun, Yi Jin, Tianyi Wang, Jianle Chen

Abstract read
In one paragraph

Article in Cancer cell international, 2024. 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
–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

5 citing papers in PubMed.

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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.

Jiaqi Zhu *Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Xiaoren Zhu *Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Conglin Shi *Cancer Immunotherapy Center, Cancer Research Institute, Xuzhou Medical University, Xuzhou, China.
Qixuan LiDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Yun JiangDepartment of Burn and Plastic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Xingyou ChenSchool of Medicine, Nantong University, Nantong, China.
Pingping SunDepartment of Clinical Biobank, The Institute of Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Yi JinDepartment of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China. jin_yibai@126.com.
Tianyi WangDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China. 13862965891@163.com.
Jianle ChenDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China. jsshcjl@163.com.

Funding

Nantong University Affiliated Hospital doctoral research start-up fund project Tdb2005National Science Fund subsidized project 82300412Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX24_3594Wu Jieping Medical Foundation HXKT20221037
6 · The paper itself

Abstract

backgroundTo explore the impact of ARGs on the prognosis of NSCLC, and its correlation with clinicopathological parameters and immune microenvironment. Preliminary research on the biological functions of CEBPA in NSCLC.

methodsUsing consensus clustering analysis to identify molecular subtypes of ARGs in NSCLC patients; employing LASSO regression and multivariate Cox analysis to select 7 prognostic risk genes and construct a prognostic risk model; validating independent prognostic factors of NSCLC using forest plot analysis; analyzing immune microenvironment correlations using ESTIMATE and ssGSEA; assessing correlations between prognostic risk genes via qPCR and Western blot in NSCLC; measuring mRNA and protein expression levels of knocked down and overexpressed CEBPA in NSCLC using CCK-8 and EdU assays; evaluating the effects of knocked down and overexpressed CEBPA on cell proliferation using Transwell experiments; examining the correlation of CEBPA with T cells and B cells using mIHC analysis.

resultsConsensus clustering analysis identified three molecular subtypes, suggesting significant differential expression of these ARGs in NSCLC prognosis and clinical pathological parameters. There was significant differential expression between the two risk groups in the prognostic risk model, with P < 0.001. The risk score of the prognostic risk model was also P < 0.001. CEBPA exhibited higher mRNA and protein expression levels in NSCLC cell lines. Knockdown of CEBPA significantly reduced mRNA and protein expression levels of CEBPB, YWHAZ, ABL1, and CDK1 in H1650 and A549 cells. siRNA-mediated knockdown of CEBPA markedly inhibited proliferation, migration, and invasion of NSCLC cells, whereas overexpression of CEBPA showed the opposite trend. mIHC results indicated a significant increase in CD3 + CD4+, CD3 + CD8+, and CD20 + cell counts in the high CEBPA expression group.

conclusionsThe risk score of the prognostic risk model can serve as an independent prognostic factor, guiding the diagnosis and treatment of NSCLC. CEBPA may serve as a potential tumor biomarker and immune target, facilitating further exploration of the biological functions and immunological relevance in NSCLC.

Indexed as

LASSO regressionNon-small cell lung cancerPrognostic modelTherapeutic targetTumor immune microenvironment

Identifiers

PMID39068458
PMCPMC11282817

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.