Evidence map›Paper›PMID 40404203›Full record

ArticleJournal for immunotherapy of cancer2025

Single-cell RNA sequencing of baseline PBMCs predicts ICI efficacy and irAE severity in patients with NSCLC.

Gyeong Dae Kim, So-I Shin, Pureum Sun, Jeong Eun Lee, Chaeuk Chung, Yea Eun Kang, Da Hyun Kang, Jihwan Park

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. Heterogeneity of monocytes in cancer.American journal of cancer research · 2025
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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

8 authors.

Gyeong Dae KimLife Science, Gwangju Institute of Science and Technology, Gwangju, Buk-gu, Korea (the Republic of).ORCID http://orcid.org/0000-0002-9288-6341
So-I ShinLife Science, Gwangju Institute of Science and Technology, Gwangju, Buk-gu, Korea (the Republic of).
Pureum SunInstitute for Medical Sciences, College of Medicine, Chungnam National University, Daejeon, South Korea.
Jeong Eun LeeDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, South Korea.
Chaeuk ChungDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, South Korea.
Yea Eun KangDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, South Korea.
Da Hyun KangDepartment of Internal Medicine, College of Medicine, Chungnam National University, Daejeon, South Korea jihwan.park@gist.ac.kr ibelieveu113@naver.com.ORCID http://orcid.org/0000-0002-3495-0931
Jihwan ParkLife Science, Gwangju Institute of Science and Technology, Gwangju, Buk-gu, Korea (the Republic of) jihwan.park@gist.ac.kr ibelieveu113@naver.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICIs) have transformed treatment and have provided significant clinical benefits and durable responses for patients with advanced non-small cell lung cancer (NSCLC). However, only a small percentage of patients respond to ICI treatment, and immune-related adverse events (irAEs) leading to treatment discontinuation remain challenging. Despite the recognized need for biomarkers to predict both the efficacy of ICIs and the risk of irAEs, such biomarkers are yet to be clearly identified.

methodsIn this study, we performed single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells (PBMCs) from 33 patients with NSCLC before ICIs treatment. To validate our findings, we reanalyzed public scRNA-seq data, conducted a cytometric bead array (CBA), and supported our findings with T-cell receptor sequencing.

resultsWhile the immune response was more pronounced in patients with a favorable prognosis, the hypoxic pathway was more prominent in patients with primary resistance. Lymphocytes such as CD8 T cells, CD4 T cells, and natural killer cells were primarily involved in these pathways, with

conclusionsThis study identified biological pathways and key biomarkers associated with ICI prognosis and irAE severity using PBMC samples before treatment. These findings provide a foundation for improved therapeutic strategies that enhance clinical outcomes while minimizing ICI treatment-associated risks.

Indexed as

Carcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLeukocytes, MononuclearLung NeoplasmsSingle-Cell AnalysisAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedPrognosisSequence Analysis, RNABiomarkers, TumorImmune Checkpoint InhibitorsBiomarkerImmune Checkpoint InhibitorImmune related adverse event - irAELung CancerNext generation sequencing - NGS

Identifiers

PMID40404203
PMCPMC12097017

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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.