ArticleThoracic cancer2026
Transcriptomic Determinants of Circulating Immunity Predict Immune-Related Adverse Events (irAEs) in Cancer Patients Receiving PD-1/PD-L1 Blockade.
Article in Thoracic cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Omics-based biomarkers of immune-related organ toxicities associated with immune checkpoint inhibitors: a scoping review and evidence map.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundDespite the remarkable success of immune checkpoint inhibitor (ICI) therapy in solid tumors, immune-related adverse events (irAEs) have posed great challenges in the whole-course management of ICI immunotherapy. Reliable biomarkers helping to predict irAEs are still limited and lacking.
methodsCancer patients receiving PD-1/PD-L1 blockade were enrolled without limiting tumor type, immunotherapy drugs, or affected organs. Blood samples were collected for PBMC isolation. Whole transcriptomic RNA sequencing was used to discover biomarkers in PBMCs of irAEs patients, validated by RT-PCR in the test set. IrAEs-free survival analysis and subgroup analysis were performed. LASSO regression prediction classifiers were conducted.
resultsOne hundred and two patients were enrolled, with 42 in the training set and 60 in the testing set. The transcriptomic profile of PBMCs distinguished irAEs patients of different grades from non-irAEs patients. Five candidate biomarkers were identified: FXYD7, SPSB2, SLC35E2A, C2, and SERPING1. Lower expression of FXYD7, SPSB2, and SLC35E2A was associated with shorter irAEs-free survival [FXYD7, HR = 3.67, p = 0.0004; SLC35E2A, HR = 3.12, p = 0.0001; SPSB2, HR = 3.41, p = 0.0110]. Higher expression of C2 and SERPING1 was associated with shorter irAEs-free survival in severe cases [C2, HR = 0.30, p = 0.0011; SERPING1, HR = 0.39, p = 0.0082]. Classifiers based on these biomarkers predicted irAEs of all grades (AUC = 0.91) and severe irAEs (AUC = 0.94), with FXYD7, C2, and SERPING1 as key variables.
conclusionsTogether, we revealed crucial circulating immunological determinants in irAEs and provided promising biomarkers to help predict irAEs, which will enlighten future precise management and targeted treatment strategies for irAEs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.