ArticleMolecular biomedicine2026
Exceptional treatment responses and molecular markers among 103 colorectal cancer cell lines.
Article in Molecular biomedicine, 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
11 authors.
Funding
Abstract
Patients with colorectal cancer have few molecularly guided treatment options. Cancers with exceptional treatment response are valuable models for discovery of molecular response mechanisms and might reveal new predictive biomarkers to guide treatment selection. However, the rarity of events is a clinical challenge. We performed integrated high-throughput drug sensitivity testing (n = 620 drugs) and molecular analyses of 103 colorectal cancer cell lines to build an in vitro foundation for exceptional treatment responses and their molecular markers. Exceptional responses were scored by a two-way outlier detection approach and were identified in 67 unique cell line-drug pairs (0.13% of all pairs tested). This involved 35 cell lines (34.0%) and 49 drugs (7.9%) representing standard, experimental, and non-oncology drugs of diverse classes. Plausible response mechanisms on the gene, protein, and/or pathway expression levels were identified at baseline in 89.6% of the 67 pairs. Experimental validation confirmed treatment-induced marker suppression in seven of eight selected pairs, including target engagement of kinase inhibitors and downregulation of markers of extended response mechanisms. Recurrent exceptional sensitivity to the same drug in different cell lines involved functionally convergent molecular mechanisms, but rarely precisely the same marker. Most exceptional sensitivities (77.8%) could be predicted with multivariable transcriptomic models. In conclusion, this study provides in vitro support for biomarker-guided prescreening to potentially obtain exceptional treatment response to diverse drugs and therapeutic targets in colorectal cancer. Most exceptional responses have a clear molecular underpinning. The study also provides a large and openly available pharmaco-transcriptomics resource for colorectal cancer cell lines.
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.