Evidence map›Paper›PMID 42495622›Full record

ArticleFrontiers in immunology2026

Risk stratification model based on estimated dose of radiation to immune cells and radiotherapy-related nadir lymphocyte count for predicting the efficacy of consolidation immunotherapy in stage III non-small cell lung cancer.

Wenlu Chen, Yu Liang, Qing Hou, Xin Cao, Anqi Zhao, Baixue Wu, Yuying Zhou, Wenbo Zhang, Meng Zhao, Ningning Yao and 5 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Wenlu Chen *Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yu Liang *Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Qing Hou *Department of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Xin CaoDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Anqi ZhaoDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Baixue WuDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Yuying ZhouDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Wenbo ZhangDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Meng ZhaoDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Ningning YaoDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Feng LiShanxi Key Laboratory of Tumor Organoids, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Jianchun DuanState Key Laboratory of Molecular Oncology, Beijing Key Laboratory, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Shuangping ZhangDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Ning LiDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Jianzhong CaoDepartment of Radiotherapy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the prognostic value of the estimated dose of radiation to immune cells (EDRIC) and the radiotherapy-related nadir lymphocyte count (RT-NLC), and to establish a risk stratification model for predicting outcomes in patients with unresectable stage III non-small cell lung cancer (NSCLC) treated with definitive chemoradiotherapy (CRT) and immunotherapy. Materials and methods: We retrospectively analyzed 136 patients treated between May 2019 and November 2023. EDRIC and RT-NLC were dichotomized at median values. Survival analysis was performed using Kaplan-Meier and Cox regression. High-risk patients were defined as having EDRIC ≥ 6.75 Gy and RT-NLC < 0.54×10 Results: EDRIC inversely correlated with RT-NLC (r = -0.38, Conclusions: EDRIC and RT-NLC are significant prognostic biomarkers in unresectable stage III NSCLC. A risk model integrating these parameters effectively identifies high-risk patients who obtain substantial survival benefit, particularly in distant metastasis control, from consolidation immunotherapy, supporting personalized treatment strategies. Prospective validation is warranted.

Indexed as

Carcinoma, Non-Small-Cell LungImmunotherapyLung NeoplasmsAgedChemoradiotherapyConsolidation ChemotherapyFemaleHumansLymphocyte CountMaleMiddle AgedNeoplasm StagingPrognosisRadiotherapy DosageRetrospective StudiesRisk Assessmentchemoradiotherapyestimated dose of radiation to immune cellsimmunotherapynadir absolute lymphocyte countrisk stratificationstage III non-small cell lung cancer

Identifiers

PMID42495622
PMCPMC13392429

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.