Evidence map›Paper›PMID 38267897›Full record

ArticleBMC immunology2024

Predictive biomarkers for immune-related adverse events in cancer patients treated with immune-checkpoint inhibitors.

Jingting Wang, Yan Ma, Haishan Lin, Jing Wang, Bangwei Cao

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
15.0field-weighted citation impact, top 1% of its field
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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  14. High-Grade Immune-Related Adverse Events Resulting from Immune Checkpoint Inhibitor Treatment: Evaluation of Diagnostics and Outcomes in Admitted Patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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6 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Jingting WangDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Xicheng District, Beijing, China.
Yan MaRadiotherapy Department, Shijingshan Teaching Hospital of Capital Medical University Beijing, #24 Shijingshan Road, Shijingshan District, Beijing, 100040, China.
Haishan LinDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Xicheng District, Beijing, China.
Jing WangDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Xicheng District, Beijing, China. wangjing1981@ccmu.edu.cn.
Bangwei CaoDepartment of Oncology, Beijing Friendship Hospital, Capital Medical University, #95 Yong An Road, Xicheng District, Beijing, China. oncology@ccmu.edu.cn.
Capital Medical University · CN

Funding

Beijing Municipal Administration of Hospitals Incubating Program PZ2023001Beijing Municipal Natural Science Foundation 7222032National Natural Science Foundation of People's Republic of China 82173056National Natural Science Foundation of the People's Republic of China 82100539
6 · The paper itself

Abstract

purposeThe objective of this study was to identify potential predictors of immune-related adverse events (irAEs) in cancer patients receiving immune checkpoint inhibitor therapy among serum indexes, case data, and liquid biopsy results.

methodsWe retrospectively analyzed 418 patients treated with anti-programmed cell death 1(PD-1)/PD-1 ligand (PD-L1) inhibitors from January 2018 to May 2022 in our cancer center. We identified factors that correlated with the occurrence of irAEs and evaluated associations between irAEs and anti-PD-1/PD-L1 inhibitor responses.

resultsThe incidence of irAEs was 42.1%, and pneumonitis (9.1%), thyroid toxicity (9.1%), cardiotoxicity (8.1%), and dermatologic toxicity (6.9%) were the four most common irAEs. Multivariate logistic analysis identified female sex, antibiotic use, higher post-treatment neutrophil-to-lymphocyte ratio (NLR), and higher baseline circulating tumor cell (CTC) level, as predictive biomarkers for the occurrence of irAEs. A lower baseline prognostic nutritional index (PNI), body mass index (BMI) ≥ 25 kg/m

conclusionsGender, antibiotic use, post-treatment NLR, and baseline CTC level are potential predictive biomarkers of irAEs, while baseline PNI, BMI, and post-treatment LDH may predict the severity of irAEs. The predictive effect of irAE occurrence on survival benefit may depend on the type of irAE.

Indexed as

NeoplasmsPneumoniaAnti-Bacterial AgentsBiomarkersCardiotoxicityFemaleHumansImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorRetrospective StudiesAnti-Bacterial AgentsBiomarkersImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorImmune-related adverse eventsImmunotherapyPredictive biomarkerReal-world retrospective study

Identifiers

PMID38267897
PMCPMC10809515
OpenAlexW4391166506

What OpenQuestion holds

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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.