Comprehensive Computational Assessment of SNAI1 and SNAI2 in Gastric Cancer: Linking EMT, Tumor Microenvironment, and Survival Outcomes
Background: Gastric cancer is aggressive with poor prognosis due to high invasion and metastasis rates, a hallmark of cancer. The Snail family (SNAI1 and SNAI2) drives EMT, enabling epithelial cells to gain migratory and invasive traits. Methods: We used “limma” package to identify genes with differ...
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| Main Authors: | Maryam Kalantari-Dehaghi, Hasan Rahimi-Tamandegani, Modjtaba Emadi-Baygi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-06-01
|
| Series: | Cancer Informatics |
| Online Access: | https://doi.org/10.1177/11769351251352892 |
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