The molecular similarity landscape of preclinical cancer models to patient tumors.
- DOI
- 10.1172/jci.insight.206449
- Published
- 2026-06-30
- Container
- JCI Insight
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1172/jci.insight.206449,
title = {The molecular similarity landscape of preclinical cancer models to patient tumors.},
author = {Xie Z and Xue J and Mao B and Liu H and Qian W and Wang J and Chen X and Guo S.},
year = {2026},
journal = {JCI Insight},
doi = {10.1172/jci.insight.206449},
url = {https://doi.org/10.1172/jci.insight.206449}
}RIS
TY - JOUR TI - The molecular similarity landscape of preclinical cancer models to patient tumors. AU - Xie Z AU - Xue J AU - Mao B AU - Liu H AU - Qian W AU - Wang J AU - Chen X AU - Guo S. PY - 2026 JO - JCI Insight DO - 10.1172/jci.insight.206449 UR - https://doi.org/10.1172/jci.insight.206449 ER -
APA
Z, X., J, X., B, M., H, L., W, Q., J, W., X, C., & S., G. (2026). The molecular similarity landscape of preclinical cancer models to patient tumors.. JCI Insight. https://doi.org/10.1172/jci.insight.206449
Source records
- europe-pmc · retrieved 2026-09-25T17:46:41.134Z