Evidence map›Paper›PMID 42416486›Full record

ArticleFrontiers in molecular biosciences2026

Predictive value of baseline levels and early dynamic changes of ctDNA for 28-day mortality in ICU patients with advanced lung cancer: a prospective single-center cohort study.

Liping Tan, Dongxi Lu, Haijiao Huang, Dongyi Lin, Dingwen Zheng

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Article in Frontiers in molecular biosciences, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Liping Tan *Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Dongxi Lu *Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Haijiao HuangDepartment of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Dongyi LinDepartment of Traditional Chinese Medicine, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Dingwen ZhengDepartment of Cardiac Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Critically ill patients with advanced lung cancer admitted to the ICU have high short-term mortality and heterogeneous outcomes. Conventional severity measures reflect organ failure but not tumor-related activity. Objective: To assess whether baseline ctDNA and 72-h ctDNA dynamics are associated with 28-day mortality and whether they add incremental prognostic value beyond clinical variables. Methods: In this prospective single-center cohort, 293 patients formed the full cohort; a 72 ± 6-h landmark dynamic cohort included 233 patients alive and evaluable at 72 h. Plasma ctDNA was tested at ICU admission and 72 h. Multivariable logistic regression and restricted cubic splines assessed associations. Model discrimination, calibration metrics, reclassification, and decision curve net benefit were compared before and after adding ctDNA. Results: Baseline ctDNA was higher in non-survivors than survivors (P < 0.001). Baseline ctDNA [ln(VAFmax_T0+0.05)] was independently associated with 28-day mortality and showed a nonlinear relationship (Poverall<0.001, Pnonlinear = 0.028). In the landmark cohort, ΔctDNA was independently associated with mortality from 72 h to day 28 (adjusted ORs 1.86 and 1.62; both P < 0.01). Adding ctDNA improved performance: AUC increased from 0.78 to 0.84 and Brier score decreased from 0.201 to 0.184 in the full cohort; AUC increased from 0.75 to 0.80 and Brier score decreased from 0.219 to 0.207 in the dynamic cohort. NRI/IDI were 0.42/0.08 and 0.29/0.05, respectively. Conclusion: Baseline ctDNA and early ctDNA dynamics were independently associated with short-term mortality and modestly improved prognostic model performance. These findings suggest potential value for ICU risk stratification pending external validation.

Indexed as

cancer biomarkercirculating tumor DNAintensive carelung cancerprognostic model

Identifiers

PMID42416486
PMCPMC13337414

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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.