Zinc treatment reverses and anti-Zn-regulated miRs suppress esophageal carcinomas in vivo

Fong, Louise Y.Y.; Huebner, Kay; Jing, Ruiyan; Smalley, Karl J.; Brydges, Christopher; Fiehn, Oliver; Farber, John L.; Croce, Carlo M.

doi:10.1073/pnas.2220334120

Cited by 3 publications

(1 citation statement)

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“…Furthermore, SERPINE1 is typically upregulated in gastric cancer tissues and its overexpression is associated with increased tumor invasiveness and poor prognosis ( 26 ). High expression of STK40 has been closely correlated with the occurrence and development of esophageal cancer ( 27 ). These research findings provide further validation for the reliability of our selected genes and are consistent with our prediction results.…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a novel senescence-related risk score can help predict the prognosis and tumor microenvironment of gastric cancer patients and determine that STK40 can affect the ROS accumulation and proliferation ability of gastric cancer cells

Sun,

Yuan,

Chen

et al. 2023

Front. Immunol.

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BackgroundIn recent years, significant molecules have been found in gastric cancer research. However, their precise roles in the disease’s development and progression remain unclear. Given gastric cancer’s heterogeneity, prognosis prediction is challenging. This study aims to assess patient prognosis and immune therapy efficacy using multiple key molecules.MethodThe WGCNA algorithm was employed to identify modules of genes closely related to immunity. A prognostic model was established using the Lasso-Cox method to predict patients’ prognosis. Single-sample gene set enrichment analysis (ssGSEA) was conducted to quantify the relative abundance of 16 immune cell types and 13 immune functions. The relationship between risk score and TMB, MSI, immune checkpoints, and DNA repair genes was examined to predict the effectiveness of immune therapy. GO and KEGG analyses were performed to explore potential pathways and mechanisms associated with the genes of interest. Single-cell RNA sequencing was utilized to investigate the expression patterns of key genes in different cell types.ResultsThrough the WGCNA algorithm and Lasso-Cox algorithm selected KL, SERPINE1, and STK40 as key genes for constructing the prognostic model. The SSGSEA algorithm was employed to evaluate the infiltration of immune cells and immune functions in different patients, and their association with the risk score was investigated. The high-risk group exhibited lower TMB and MSI compared to the low-risk group. MMR and immune checkpoint analysis revealed a significant correlation between the risk score and multiple molecules. Finally, we also believe that STK40 is the most critical senescence-related gene affecting the progression of gastric cancer. In vitro experiments showed that ROS accumulation and cell proliferation ability of gastric cancer cells were impaired when STK40 was knocked down.ConclusionIn summary, we’ve constructed a prognostic model utilizing key genes for gastric cancer prognosis, while also showcasing its efficacy in predicting patient response to immunotherapy.

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Section: Discussionmentioning

confidence: 99%