Evidence map›Paper›PMID 41942911›Full record

ArticleBMC cancer2026

A preliminary study on the prognostic impact of platelet to monocyte ratio and its related genes on non-small cell lung cancer.

Yonglian Tang, Yili Huang, Lei Chen, Zigui Huang, Xiaoliang Huang, Zhiyi He

Abstract read
In one paragraph

Article in BMC cancer, 2026. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yonglian Tang *Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yili Huang *Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Lei Chen *Guangxi Medical University, Nanning, The People's Republic of China.
Zigui HuangGuangxi Medical University Cancer Hospital, Nanning, The People's Republic of China.
Xiaoliang HuangGuangxi Medical University Cancer Hospital, Nanning, The People's Republic of China.
Zhiyi HeDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China. zhiyi-river@163.com.

Funding

The Health Commission of the Autonomous Region Research Project Z-A20230730
6 · The paper itself

Abstract

purposeImpact of pre-treatment platelet-monocyte ratio on prognosis in patients with non-small cell lung cancer. 2. Screening and analyzing the relationship between NSCLC, platelet- and monocyte-associated genes and prognosis. 3. Expression of platelet- and monocyte-associated genes in NSCLC and the correlation between them and clinicopathological features and survival time.

methodsThe clinicopathological characteristics of the high and low PMR groups were compared by t-test and chi-square test. The Cox proportional hazards regression model was used to analyze univariate and multivariate factors, and statistical analysis was conducted using R language statistical software. The optimal PMR was obtained by using the surv_cutpoint function of the "survminer" software package. The optimal cut-off point of PMR was obtained by using the surv_cutpoint function of the "survminer" software package, and univariate and multivariate analyses were conducted by using its "Survival" software package. The survival data were fitted using the survfit function of the "survival" package, the survival curve was plotted using the ggsurvplot function of the "survival" package, and the cox regression model was constructed using the coxph function of the "survival" package. 2. The cox regression model was constructed using the coxph function of the "Survival" software package. The "limma" software package was used to perform deg analysis on tumor samples of patients and normal controls. Matching genes were used for single-gene COX regression analysis, gene grouping and KM survival analysis, etc. The ROC curve was used to evaluate the prognostic model test. 3. Laboratory verification: The expression of the target gene was observed by qPCR experiment. The correlation between the staining of the target gene and the clinicopathological characteristics and survival time was detected by immunohistochemical experiment. The experimental results were analyzed by SPSS and Graphpad Prism software.

resultsPMR is closely related to various clinicopathological characteristics of NSCLC patients. PMR is an independent risk factor for OS in patients with NSCLC. 2. We identified five genes independently associated with the prognosis of non-small cell lung cancer through analysis: FSTL3, MYLIP, PKHD1L1, C8B and EREG. Compared with adjacent tissues, the expression of these five genes was consistently and significantly downregulated in tumor tissues.

conclusionsPMR value may be a potential prognostic indicator for non-small cell lung cancer. Combining PMR with clinicopathological characteristics, it can be considered to further refine the treatment and prognosis plans for patients based on this proportion. 2. These key genes are all related to the process of tumor occurrence and development, providing a basis for the early and accurate diagnosis of NSCLC patients and promising the discovery of potential targets for tumor treatment. 3. The FSTL3, MYLIP, ppkhd1l1 and C8B genes in NSCLC tissues may be potential carcinogenic factors, potential biological markers and potential targets for the treatment of NSCLC tumors, and EREG may be a biomarker with significant prognostic value.

Indexed as

Blood PlateletsCarcinoma, Non-Small-Cell LungLung NeoplasmsMonocytesAgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisProportional Hazards ModelsBiomarkers, TumorGeneLung cancerPlatelet monocyte ratioPrognosisSurvival

Identifiers

PMID41942911
PMCPMC13063502

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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