Evidence map›Paper›PMID 40269765›Full record

ArticleBMC cancer2025

Pretreatment plasma sCD14 as a prognostic indicator in advanced non-small cell lung cancer patients undergoing immunotherapy.

Liyuan Dai, Liling Huang, Lin Li, Le Tang, Jiarui Yao, Yuankai Shi, Xiaohong Han

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. Not yet cited in PubMed.

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

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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

7 authors.

Liyuan DaiDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases;National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Liling HuangDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases;National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Lin LiDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Le TangDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases;National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Jiarui YaoDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases;National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.
Yuankai ShiDepartment of Medical Oncology, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases;National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China. syuankai@cicams.ac.cn.
Xiaohong HanClinical Pharmacology Research Center, Peking Union Medical College Hospital, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Key Technologies for Early Clinical Trial Evaluation of Innovative Drugs for Major Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. hanxiaohong@pumch.cn.

Funding

CAMS Innovation Fund for Medical Sciences under Grant CIFMS 2021-I2M-1-003Major Project of Medical Oncology Key Foundation of Cancer Hospital Chinese Academy of Medical Sciences CICAMS-MOMP2022006National High Level Hospital Clinical Research Funding 2022-PUMCH-B-033
6 · The paper itself

Abstract

backgroundThis study aims to evaluate cytokines as a prognostic biomarker in patients with advanced non-small cell lung cancer (aNSCLC) undergoing immunotherapy.

methodsA comprehensive analysis was conducted to assess the prognostic significance of sCD14 and other cytokines in aNSCLC patients receiving immune checkpoint inhibitors (ICIs) using flow fluorescence. A discovery cohort (n = 42) was used to evaluate the differential expression of 41 cytokines between durable clinical benefit (DCB) and no durable benefit (NDB) groups in Cancer Hospital, Chinese Academy of Medical Sciences (CHCAMS). The prognostic value was further validated in multiple independent cohorts, including plasma protein measurements (n = 109), multiplex immunofluorescence (mIF) (n = 22), and messenger RNA datasets (n = 403) of NSCLC in CHCAMS.

resultsIn the discovery cohort, 7 cytokines (CD14, CCL27, IL-17 A, EGF, TNFR1, GFAP, CHI3L1) exhibited differential expression between the DCB and NDB groups. Among these, CD14, CCL27, IL-17 A, and TNFR1 were significantly elevated in the DCB group, while EGF, CHI3L1, and CCL5 were higher in the NDB group. CD14 showed a high area under the curve (AUC = 0.84) for predicting clinical benefit. Functional enrichment analysis indicated that these cytokines are involved in key immune pathways, including the inflammatory response and MAPK signaling. Univariate COX for progression-free survival (PFS) analysis demonstrated prognostic value for CD14 (p < 0.001, HR = 0.054 [0.014-0.219]), CCL27 (p < 0.001, HR = 0.054 [0.015-0.196]), IL-17 A (p < 0.001, HR = 0.110 [0.041-0.298]), and CCL5 (p < 0.05, HR = 2.387 [1.023-5.570]). Validation in the CHCAMS cohort confirmed that CD14 expression, measured via mIF, was a predictor of PFS (p < 0.05). Furthermore, high CD14 expression was consistently associated with superior PFS across multiple external datasets (GSE126044, GSE135222, GSE136961, and GSE218989). CD14 expression was found to be elevated in various normal tissue types, particularly in lung adenocarcinoma and lung squamous cell carcinoma, compared to tumors, indicating its potential role in immune surveillance.

conclusionsCD14 is a promising prognostic biomarker for aNSCLC patients undergoing immunotherapy. Elevated plasma sCD14 levels are associated with improved PFS and a favorable immune response.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsImmunotherapyLipopolysaccharide ReceptorsLung NeoplasmsAdultAgedCytokinesFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorCD14 protein, humanCytokinesImmune Checkpoint InhibitorsLipopolysaccharide ReceptorsImmunotherapyNon-small cell lung cancerPrognostic biomarkersCD14

Identifiers

PMID40269765
PMCPMC12016321

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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.