Evidence map›Paper›PMID 40234811›Full record

ArticleBMC cancer2025

Neutrophil-to-lymphocyte ratio-based prognostic score can predict outcomes in patients with advanced non-small cell lung cancer treated with immunotherapy plus chemotherapy.

Shan Liao, Huiying Sun, Hao Lu, Jiani Wu, Jianhua Wu, Zhe Wu, Jingle Xi, Wangjun Liao, Yuanyuan Wang

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

9 authors.

Shan LiaoDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Huiying SunDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Hao LuDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Jiani WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Jianhua WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Zhe WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Jingle XiDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China.
Wangjun LiaoDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China. nfyyliaowj@163.com.
Yuanyuan WangDepartment of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, Guangdong, China. doc_wang@126.com.

Funding

Chinese Thoracic Oncology Group Lung Cancer Research Foundation CTONG-YC20220107Wu Jieping Medical Foundation 320.6750.2022-22-21
6 · The paper itself

Abstract

backgroudImmune checkpoint inhibitor (ICI) plus chemotherapy has become the standard of care for advanced non-small cell lung cancer (NSCLC). Nonetheless, reliable efficacy biomarkers of ICI plus chemotherapy are lacking. In this research, we sought to explore efficacy biomarkers and construct robust prognostic models in NSCLC patients treated with ICI plus chemotherapy.

methodsWe retrospectively analyzed 171 patients with advanced NSCLC treated with ICI plus chemotherapy. Clinical characteristics and peripheral blood inflammatory indexes were collected and prognostic models were constructed to explore efficacy and prognosis biomarkers of ICI plus chemotherapy.

resultsIn the cohort that received first-line ICI plus chemotherapy, pre-treatment neutrophil-to-lymphocyte ratio (NLR) > 3.3 and fibrinogen (FIB) > 3.196 were associated with worse efficacy and were independent risk factors of progression-free survival (PFS). Compared to programmed cell death ligand 1 (PD-L1), the derived NLR-FIB (NF) score had significantly improved accuracy in predicting efficacy and prognosis. In advanced NSCLC patients with targetable oncogenic driver alterations receiving second- or post-line ICI plus chemotherapy, pre-treatment NLR > 3.53 was associated with worse efficacy and was an independent risk factor of PFS and OS; Tyrosine kinase inhibitor (TKI)-PFS > 12 months were independent risk factors of overall survival (OS). Secondary epidermal growth factor receptor (EGFR)-T790M mutation, platelet-to-lymphocyte ratio (PLR) > 196.81 and albumin (ALB) < 40.25 were associated with worse PFS. Based on NLR and TKI-PFS, an NLR-TKI-PFS (NTP) score was constructed with three OS risk prognosis categories: favorable, intermediate, and poor (corresponding to a median OS of 21, 12, and 5.3 months).

conclusionsThe noninvasive NF score, combining NLR > 3.3 and FIB > 3.196, was superior to PD-L1 estimated from tumor tissue in predicting the efficacy and prognosis of first-line ICI plus chemotherapy in advanced NSCLC patients. The noninvasive NTP score, combining NLR > 3.53 and TKI-PFS > 12 months, is a valuable tool for predicting OS and PFS in advanced NSCLC patients with targetable oncogenic driver alterations receiving second- or post-line ICI combination therapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungLung NeoplasmsLymphocytesNeutrophilsAdultAgedBiomarkers, TumorFemaleHumansImmune Checkpoint InhibitorsImmunotherapyMaleMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorImmune Checkpoint InhibitorsEfficacy predictionImmunochemotherapyNeutrophil lymphocyte ratioNon-small cell lung cancerPrognostic biomarker

Identifiers

PMID40234811
PMCPMC11998248

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Registered trials

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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.