Structure · dataset · 2026
Table 2_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
Listed in Loughborough Research Repository
Background<p>Immune checkpoint inhibitors (ICIs) can cause immune-related adverse events (irAEs) across multiple organs.
Description
High-throughput omics approaches may help characterize susceptibility, molecular mechanisms, diagnostic features, and monitoring markers related to irAEs; however, evidence remains dispersed across platforms, clinical applications, and toxicity phenotypes.</p>Objective<p>To map original human evidence in which high-throughput omics approaches were directly linked to irAE susceptibility, occurrence, severity, diagnosis, longitudinal monitoring, clinical course, recovery, response to irAE-directed treatment, or mechanistic characterization.
Methods
Read the rest (6 more)
This scoping review and evidence map followed a registered protocol and was informed by PRISMA-ScR and JBI guidance. PubMed/MEDLINE, Scopus, Web of Science Core Collection, and Embase were searched from January 1, 2014, with the final database search completed on July 9, 2026. Eligible studies involved ICI-exposed patients or human biospecimens, implemented high-throughput genomics/statistical genetics, transcriptomics, proteomics, metabolomics/lipidomics, microbiome/metagenomics, single-cell or spatial omics, immune-repertoire sequencing, or integrated multi-omics approaches, and directly evaluated an irAE outcome.
Genome-wide statistical-genetic studies were retained as a conditional evidence category. Targeted single-marker studies, routine laboratory biomarkers, efficacy-only omics analyses, non-ICI populations, non-original reports, case reports, and preclinical-only omics studies were excluded.</p>Results<p>The searches identified 4,669 records. After removal of 1,151 duplicates, 3,518 unique records were screened and 433 reports were sought for retrieval.
Thirty-two reports could not be retrieved for full-text assessment. Of 401 reports assessed in full text, 315 were excluded and 86 studies were included. Omics domains were non-mutually exclusive: transcriptomics was used in 50 studies, single-cell/spatial omics in 31, proteomics in 20, microbiome/metagenomics in 20, immune-repertoire sequencing in 16, genomics/statistical genetics in 14, and metabolomics/lipidomics in 6.
Forty-seven studies contributed to two or more omics domains in the platform audit; after accounting for overlapping analytical modalities, 35 studies met the predefined criteria for true multi-omics integration involving independent molecular layers. Forty-five studies addressed mixed or general irAEs; among organ-specific studies, myocarditis/cardiovascular toxicity (n=10), pneumonitis/lung toxicity (n=9), and gastrointestinal/colitis toxicity (n=8) were most frequent.</p>Conclusions<p>The high-throughput omics literature directly evaluating irAEs is substantially smaller than the broader biomarker literature and is dominated by transcriptomic and single-cell approaches.
Most evidence remains exploratory, with limited independent assessment of predefined models or signatures, incomplete coverage of endocrine, renal, neurologic, hematologic, pancreatic, and musculoskeletal toxicities, and substantial gaps between molecular discovery and clinical implementation. Prospective multicenter cohorts, standardized irAE phenotyping, longitudinal sampling, and independent validation are required to support clinical implementation.
Future studies integrating multiple molecular layers with advanced computational approaches may improve biomarker discovery and individualized risk stratification but require transparent development and rigorous validation.</p>Systematic review registration<p>osf.io/g79cv, identifier g79cv.</p>
Links
Where it is published
- DOI doi.org/10.3389/fimmu.2026.1945286 ↗
DOI / persistent id · from repository lboro ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from repository lboro ac uk
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Psychology & Behavioral Science · Social Science
- Inferred from text
- Immunology 70% · Longitudinal study 65% · Mass spectrometry 65% · Sequencing 75% · Tabular 65% · Text 75%
Related
- Possibly the same asTable 4_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 5_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 3_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 1_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 1_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 2_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 5_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 4_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
- Possibly the same asTable 3_Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.xlsx
Provenance · 1 source records, 23 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Loughborough Research Repository | oai:figshare.com:article/33962629 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3204 | enrichment · repository lboro ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · repository lboro ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:mass-spectrometry | enrichment · repository lboro ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · repository lboro ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · repository lboro ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:text | enrichment · repository lboro ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| title | source · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | /metadata/dc/title |