Evidence map›Paper›PMID 41268274›Full record

ArticleAmerican journal of translational research2025

A predictive model for anlotinib-osimertinib efficacy in advanced non-small cell lung cancer with acquired resistance: circulating tumor DNA and angiogenesis markers.

Liu Meng, Wei Wang, Min Tang, Kunlun Li, Weisi Zeng

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Article in American journal of translational research, 2025. 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

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5 authors.

Liu MengDepartment of Oncology, Shanghai University Mengchao Cancer Hospital Shanghai 201800, China.
Wei WangDepartment of Gastroenterology and Urology II, Hunan Cancer Hospital Changsha 410013, Hunan, China.
Min TangDepartment of Oncology, Xiangtan Central Hospital Xiangtan 411100, Hunan, China.
Kunlun LiDepartment of Oncology, The Fourth People's Hospital of Changde Changde 415100, Hunan, China.
Weisi ZengDepartment of Oncology, Changsha County People's Hospital, Hunan Provincial People's Hospital Xingsha Compus Changsha 410100, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a predictive model for the efficacy of anlotinib combined with osimertinib in treating advanced non-small cell lung cancer (NSCLC) with acquired resistance, based on circulating tumor DNA (ctDNA) clearance and angiogenesis markers.

methodsWe retrospectively analyzed data from 378 patients with acquired resistance advanced NSCLC treated at Shanghai University Mengchao Cancer Hospital between November 2020 and October 2022. Patients were divided into a monotherapy group (n=181, receiving osimertinib alone) and a combination therapy group (n=197, receiving anlotinib plus osimertinib). The combination therapy group was further stratified into two subgroups based on progression-free survival (PFS): better efficacy (PFS ≥16 months) and poorer efficacy (PFS <16 months). Venous blood samples were collected before and after two treatment cycles for ctDNA detection using next-generation sequencing (NGS) and measurement of angiogenesis markers using electrochemiluminescence immunoassays. Multivariate logistic regression was employed to identify independent predictors, and a nomogram predictive model was constructed and validated.

resultsThe combination therapy group demonstrated significantly longer PFS and overall survival compared to the monotherapy group. After two treatment cycles, the combination therapy group showed a significant reduction in ctDNA levels, variant allele frequency (VAF), and a higher clearance rate of the T790M mutation. Additionally, angiogenesis markers were significantly lower in the combination therapy group post-treatment (all P<0.05). Multivariate logistic regression identified significant predictors of poor therapeutic effect. The nomogram model exhibited excellent predictive performance, with an AUC of 0.912 in the training set and 0.959 in the test set.

conclusionThe developed nomogram reliably predicts the efficacy of anlotinib combined with osimertinib in treating acquired resistance NSCLC, offering valuable guidance for personalized treatment decisions.

Indexed as

angiogenesisAnlotinibcirculating tumor DNAnon-small cell lung cancerosimertinib

Identifiers

PMID41268274
PMCPMC12628259

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