Bioinformatic Approach to Identify Positive Prognostic <i>TGFB2</i>-Dependent and Negative Prognostic <i>TGFB2</i>-Independent Biomarkers for Breast Cancers.

Int J Mol Sci · 2025 · PMC12692321 · PMID 41373732

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highly significantno p-value reported

Additionally, interferon pathway genes, such as IFNAR1 , IRF9 , STAT1 , and IFI27 , were significantly upregulated, with IFI27 exhibiting a highly significant 66.3-fold increase compared with normal tissue [ 11 ].

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Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

Bioinformatic Approach to Identify Positive Prognostic &lt;i&gt;TGFB2&lt;/i&gt;-Dependent and Negative Prognostic &lt;i&gt;TGFB2&lt;/i&gt;-Independent Biomarkers for Breast Cancers.

The sentences

Bioinformatic Approach to Identify Positive Prognostic <i>TGFB2</i>-Dependent and Negative Prognostic <i>TGFB2</i>-Independent Biomarkers for Breast Cancers.