Evidence map›Paper›PMID 39506771›Full record

ArticleMolecular cancer2024

A prospective multi-cohort study identifies and validates a 5-gene peripheral blood signature predictive of immunotherapy response in non-small cell lung cancer.

Shaoqiu Chen, Fangfang Liu, Yuanyuan Fu, Chris K Deng, Jeffrey A Borgia, Abdul-Ghani Ayman, Masaki Nasu, Mayumi Jijiwa, Hua Yang, Ting Gong and 6 more

Abstract read
In one paragraph

Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

16 authors.

Shaoqiu Chen *Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Fangfang Liu *Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuanyuan FuDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Chris K DengDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Jeffrey A BorgiaDiagnostic Radiology, Rush University Medical Center, Chicago, Illinois, USA.
Abdul-Ghani AymanDepartment of Surgery, John A. Burns School of Medicine, University of Hawaii and Research Laboratory at the Queen's Medical Center, Honolulu, Hawaii, USA.
Masaki NasuDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Mayumi JijiwaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Hua YangDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Ting GongDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Junlong WangDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA.
Zhougui LingDepartment of Pulmonary and Critical Care Medicine, the Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Xiaoyan WangKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Hongwei WangSchool of Pharmacy, Nanjing Medical University, Nanjing, 211166, China. whw7037@126.com.
Qian ChuDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. qianchu@tjh.tjmu.edu.cn.
Youping DengDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo St, Honolulu, HI, 96813, USA. dengy@hawaii.edu.

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Benjamin C. Fogelgren · 2017 to 2026
$59.5M
Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SY, ANGELA U · 2021 to 2025
$15.5M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Alexandra Margaret Lynn Binder, Youping Deng · 2023 to 2026
$10.8M
NHGRI NIH HHS U54 HG013243NIGMS NIH HHS P20 GM103466NIGMS NIH HHS U54 GM138062NIH HHS P20GM103466, U54MD007601, U54GM138062, U54HG013243 and 1OT2OD032581-02-PP90
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have revolutionized the treatment landscape for non-small cell lung cancer (NSCLC). The variability in patient responses necessitates a blood-based, multi-cohort gene signature to predict ICI response in NSCLC.

methodsWe performed transcriptomic profiling of peripheral blood mononuclear cell (PBMC) and buffy coat (BC) samples from three independent cohorts of NSCLC patients treated with ICIs: a retrospective cohort (PMBCR, n = 59), a retrospective validation cohort (BC, n = 44), and a prospective validation cohort (PBMCP, n = 42). We identified a 5-gene signature (UQCRB, NDUFA3, CDKN2D, FMNL1-DT, and APOL3) predictive of ICI response and validated its clinical utility in the prospective PBMCP cohort. Response was evaluated using RECIST criteria, and patients were followed up for progression-free survival (PFS) and overall survival (OS).

resultsIn the prospective PBMCP cohort, the 5-gene signature demonstrated high accuracy in stratifying patients into responders and non-responders (AUC = 0.89, 95% CI: 0.80-0.99). Predicted responders exhibited significantly longer PFS compared to predicted non-responders (median: 13.8 months vs. 4.2 months, HR = 0.21, 95% CI: 0.07-0.58, p = 0.005).

conclusionOur study confirms a 5-gene signature as a key biomarker for ICI response in NSCLC, enhancing treatment precision.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungGene Expression ProfilingLung NeoplasmsAgedAged, 80 and overCohort StudiesFemaleGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsImmunotherapyMaleMiddle AgedPrognosisProspective StudiesBiomarkers, TumorImmune Checkpoint InhibitorsBlood-basedClinical utilityICIsNSCLCPredictive biomarkers

Identifiers

PMID39506771
PMCPMC11539423

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.