ArticleiScience2026
Intratumoral heterogeneity in microsatellite instability status at single-cell resolution.
Article in iScience, 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
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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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intratumoral heterogeneity complicates the interpretation of single-test biomarkers. Microsatellite instability (MSI) is one such biomarker, which is used to guide immune checkpoint inhibitor treatment by classifying samples as having high microsatellite instability (MSI-H) or as microsatellite stable (MSS). However, it is unknown whether MSI itself is a heterogeneous phenomenon. To test this, we curated data from several single-cell RNA sequencing studies with clinical MSI status and developed a computational pipeline that quantifies intratumoral heterogeneity in MSI. Out of 49 individuals, 15 showed evidence of divergence in MSI status between clusters of cancer cells, and most had distinct MSI-H and MSS subclones. These results question the use of MSI as a binary biomarker, and we hypothesize that accounting for heterogeneity could improve its use as a predictive biomarker. Further studies are required to determine the frequency of MSI heterogeneity at the population level and whether it can have clinical implications.
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