ReviewJournal of Cancer2026
Deciphering Cancer Therapy-Induced Cardiotoxicity in the Era of Spatial and Multi-Omics from Systemic Mechanisms to
Review in Journal of Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardio-oncology has emerged as a critical discipline addressing the cardiovascular sequelae of antineoplastic therapies. While traditional chemotherapy, targeted therapies, and immune checkpoint inhibitors (ICIs) have revolutionized cancer survival, they are frequently accompanied by cardiotoxicity ranging from asymptomatic left ventricular dysfunction to fulminant myocarditis. Current clinical strategies, relying heavily on echocardiography and serum biomarkers, often fail to detect early molecular perturbations or elucidate the complex multicellular interactions within the cardiac microenvironment. The advent of multi-omics technologies, genomics, transcriptomics, proteomics, and metabolomics, has provided systemic insights into these pathomechanisms. More recently, the integration of single-cell RNA sequencing (scRNA-seq) and spatial omics has enabled "
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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 Socratic graph.