Evidence map›Paper›PMID 42688230›Full record

ArticleFrontiers in immunology2026

Study on the effects of estimated dose of radiation to immune cells and CBC parameters on the prognosis of patients with locally advanced non-small cell lung cancer undergoing radiotherapy.

Aihui Feng, Wuyan Xia, Yan Shao, Hao Wang, Hua Chen, Hengle Gu, Yanhua Duan, Ying Huang, Zhenjiong Shen, Jiaou Chen and 1 more

Abstract read
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Article in Frontiers in immunology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Aihui Feng *Shanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wuyan Xia *Shanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yan ShaoShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao WangShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hua ChenShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hengle GuShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yanhua DuanShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying HuangShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhenjiong ShenShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiaou ChenShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhiyong XuShanghai Chest Hospital , Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Locally advanced non-small-cell lung cancer (LA-NSCLC) is a subtype of lung cancer with substantial heterogeneity in clinical prognosis. Immune injury induced by radiotherapy exposure is a critical factor affecting treatment response and long-term outcomes. This study enrolled patients with LA-NSCLC to investigate the prognostic value of complete blood count (CBC) parameters combined with the estimated dose of radiation to immune cells (EDRIC), aiming to facilitate precision prognostic stratification and tailored treatment strategies in clinical practice. Materials and methods: This study included 329 patients with LA-NSCLC who received radiotherapy (RT) at our institution. Serial CBC measurements were obtained pre-RT, weekly during RT, and 1-month post-RT. EDRIC was calculated based on the model developed by Jin et al. and improved by Ladbury et al. We subsequently evaluated the associations of EDRIC and CBC parameters with overall survival (OS), local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and progression-free survival (PFS). Results: Univariate and multivariate analyses demonstrated that EDRIC, together with week 3 platelet-to-lymphocyte ratio (PLR), was significantly associated with OS, LRFS, DMFS, and PFS ( Conclusions: EDRIC is an independent prognostic biomarker for OS, LRFS, PFS and DMFS in LA-NSCLC patients undergoing definitive thoracic (chemo)radiotherapy. Week 3 PLR also independently predicts all four survival endpoints. Compared with the EDRIC-only model, the integrated model incorporating pretreatment EDRIC, clinical variables, and on-treatment inflammatory markers (NLR and PLR) yields more accurate and comprehensive prognostic stratification for patients with LA-NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedBlood Cell CountFemaleHumansLymphocytesMaleMiddle AgedNeoplasm StagingPrognosisRadiotherapy DosageCBC parametersEDRICLA-NSCLCPLRsurvival outcomes

Identifiers

PMID42688230
PMCPMC13534069

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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 OpenQuestion graph.