Integrative multi-omics analysis identifies stromal-immune crosstalk as a determinant of immunotherapy efficacy and establishes a prognostic signature in gastric cancer
- DOI
- 10.1016/j.compbiolchem.2026.109095
- Published
- 2026-10
- Container
- Computational Biology and Chemistry
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiolchem.2026.109095,
title = {Integrative multi-omics analysis identifies stromal-immune crosstalk as a determinant of immunotherapy efficacy and establishes a prognostic signature in gastric cancer},
author = {Fan Zhang and Qingqing Zhang and Shuai Shao and Xiaobo Li and Yi Cheng and Xu Cao and Xiaotang Yu and Zhengming Gao},
year = {2026},
journal = {Computational Biology and Chemistry},
doi = {10.1016/j.compbiolchem.2026.109095},
url = {https://doi.org/10.1016/j.compbiolchem.2026.109095}
}RIS
TY - JOUR TI - Integrative multi-omics analysis identifies stromal-immune crosstalk as a determinant of immunotherapy efficacy and establishes a prognostic signature in gastric cancer AU - Fan Zhang AU - Qingqing Zhang AU - Shuai Shao AU - Xiaobo Li AU - Yi Cheng AU - Xu Cao AU - Xiaotang Yu AU - Zhengming Gao PY - 2026 JO - Computational Biology and Chemistry DO - 10.1016/j.compbiolchem.2026.109095 UR - https://doi.org/10.1016/j.compbiolchem.2026.109095 ER -
APA
Zhang, F., Zhang, Q., Shao, S., Li, X., Cheng, Y., Cao, X., Yu, X., & Gao, Z. (2026). Integrative multi-omics analysis identifies stromal-immune crosstalk as a determinant of immunotherapy efficacy and establishes a prognostic signature in gastric cancer. Computational Biology and Chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109095
Source records
- crossref · retrieved 2026-09-25T19:26:01.868Z