Evidence map›Paper›PMID 42469693›Full record

ArticleBMC cancer2026

A new prognostic perspective on preoperative coagulation parameters for lung adenocarcinoma patients: development and validation of the DFP score.

Lubei Rao, Hongyan Lin, Guiji Zhang, Ruiling Zu, Dongsheng Wang, Qiang Zhou, Pingyao Xu, Yue Liang, Yan Yue, Huaichao Luo

Abstract readValidation Study
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Lubei RaoDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China. raolubei@126.com.
Hongyan LinSchool of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Guiji ZhangDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China.
Ruiling ZuDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China.
Dongsheng WangDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China.
Qiang ZhouDepartment of Thoracic Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Pingyao XuDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China.
Yue LiangDepartment of Information Center, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Yan YueDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China.
Huaichao LuoDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, No. 55, Section 4, Renmin South Road, Wuhou District, Chengdu, Sichuan, China. luo1987cc@163.com.

Funding

the Natural Science Foundation of Sichuan Province 2024NSFSC0767the Natural Science Foundation of Sichuan Province 2024NSFSC1880
6 · The paper itself

Abstract

backgroundEmerging evidence suggests a pivotal role of coagulation-related factors in tumor progression and survival outcomes. However, their integration into risk stratification models remains limited. This study aimed to develop and validate a novel prognostic scoring system based on preoperative coagulation parameters to improve survival prediction in surgically treated lung adenocarcinoma (LUAD) patients.

methodsA total of 1081 patients with pathologically confirmed LUAD who underwent pulmonary resection at a single center were retrospectively enrolled and divided into training (n = 793), testing (n = 198), and validation (n = 90) cohorts. Least absolute shrinkage and selection operator (LASSO) Cox regression, followed by multivariate Cox analysis, was performed to identify prognostic coagulation-related markers. A composite score-DFP was developed based on D-dimer (DD), fibrinogen (FIB), and prothrombin time (PT). Propensity score matching (PSM) and multivariate Cox regression were employed to adjust for baseline, surgical, and treatment-related confounders. Survival discrimination was assessed by Kaplan-Meier analysis, time-dependent receiver operating characteristic curves, and nomogram calibration and validation.

resultsMultivariate analysis confirmed that preoperative DD, FIB, and PT were independent predictors of overall survival (OS). The derived DFP score demonstrated prognostic value, with 1-year AUCs of 0.81, 0.77, and 0.77 in the training, testing, and independent validation cohorts, respectively. Patients with high DFP scores had significantly worse OS and disease-free survival (DFS) (P < 0.01). Exploratory stratified analyses suggested that the prognostic value of the DFP score was observed across different surgical and postoperative treatment subgroups. The nomogram integrating the DFP score with TNM stage demonstrated good calibration, clinical utility, and discriminative accuracy.

conclusionsThe DFP score, comprising three routinely measured coagulation parameters, may serve as a prognostic marker in surgically treated LUAD patients. This scoring system may provide a convenient adjunct to conventional clinicopathological assessment for preoperative risk stratification.

Indexed as

Adenocarcinoma of LungBlood CoagulationLung NeoplasmsAgedFemaleFibrin Fibrinogen Degradation ProductsFibrinogenHumansKaplan-Meier EstimateMaleMiddle AgedNomogramsPreoperative PeriodPrognosisProthrombin TimeRetrospective StudiesFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogenCoagulationD-dimerFibrinogenLung adenocarcinomaNomogramPrognosis

Identifiers

PMID42469693
PMCPMC13656470

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