Evidence map›Paper›PMID 39487892›Full record

ArticleCancer immunology, immunotherapy : CII2024

Phenotypic insights into genetic risk factors for immune-related adverse events in cancer immunotherapy.

Haochuan Ma, Dili Song, Haibo Zhang, Taidong Li, Xing Jin

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Haochuan Ma *Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0002-7663-120X
Dili Song *Integrated Chinese and Western Treatment of Oncology Department, Central Hospital of Guangdong Provincial Nongken, Zhanjiang, Guangdong, China.
Haibo ZhangDepartment of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0001-8104-4280
Taidong LiIntegrated Chinese and Western Treatment of Oncology Department, Central Hospital of Guangdong Provincial Nongken, Zhanjiang, Guangdong, China. nkyyltd@163.com.
Xing JinDepartment of Laboratory Medicine, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China. jinxing0108@yzu.edu.cn.ORCID http://orcid.org/0009-0004-4716-6689

Funding

China Postdoctoral Science Foundation 2023M740779Guangdong Provincial Hospital of Traditional Chinese Medicine 2023-B5National Natural Science Foundation of China 82405509
6 · The paper itself

Abstract

backgroundImmune-related adverse events (irAEs) pose substantial challenges in the realm of cancer immunotherapy, frequently affecting treatment efficacy and patient safety. To address the urgent need for identifying risk factors associated with irAEs, we conducted a comprehensive phenotype-wide Mendelian randomization analysis (MR-PheWAS).

methodsUtilizing publicly accessible genome-wide association study (GWAS) data, this investigation evaluated the impact of over 5000 exposure variables on susceptibility to irAEs using univariate Mendelian randomization (MR). We categorized these correlations and further explored potential mechanisms by which associated traits might influence irAEs through multivariate MR.

resultsMR-PheWAS identified numerous risk factors for irAEs, encompassing both previously documented and novel associations. Specifically, we identified 105 traits with probable causal relationships to all-grade irAEs and 119 traits with suggestive associations. For high-grade irAEs, we categorized 122 traits as probably associated and 141 as suggestively associated. Notably, multivariate MR analyses uncovered intricate interactions, particularly highlighting how diabetes impacts all-grade irAEs through mediators such as body mass index and sex hormone-binding globulin.

conclusionsThis study has not only identified new risk factors for irAEs but also confirmed several well-established ones. Further investigation is crucial to validate and assess these identified risk factors within clinical trials. A mechanistic understanding of these causal factors is essential for improving the management and prevention of irAEs.

Indexed as

Genome-Wide Association StudyImmunotherapyNeoplasmsPhenotypeDrug-Related Side Effects and Adverse ReactionsGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisRisk FactorsImmune-related adverse eventsImmunotherapyMendelian randomizationPheWASRisk factor

Identifiers

PMID39487892
PMCPMC11531409

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.