Comprehensive bioinformatics analysis reveals prognostic significance and immunological roles of WNT gene family in breast cancer

Breast cancer (BRCA) is one of the most commonly diagnosed cancers and the leading cause of cancer-related deaths among women worldwide. Previous studies have shown that the WNT (wingless type) gene family plays a role in the development of various cancers. However, comprehensive analysis of WNTs in BRCA remains largely unexplored. In this study, we examined the expression patterns, clinical relevance, and survival outcomes associated with the WNT family and identified key prognostic WNTs. We further investigated genetic alterations, DNA methylation, and drug sensitivity using cBioPortal, SMART, and GSCA databases. Data from GEO and DepMap were used for validation. Our findings revealed that while WNT2 and WNT7B were significantly upregulated and WNT11 was downregulated, WNT2 paradoxically correlated with favorable prognosis despite its oncogenic overexpression. Amplification was the most common type of alteration among the key WNTs selected for analysis and was correlated with immune infiltration and immunotherapy-related biomarkers. Functional enrichment analysis uncovered a novel connection between WNT signaling and neurodegenerative pathways. Furthermore, co-expression and drug sensitivity analyses revealed that WNTs influence the efficacy of multiple anti-cancer agents, offering potential targets for precision oncology. This study provides novel insights into the multifaceted role of WNT genes in BRCA, identifying them as promising prognostic indicators and immunotherapeutic targets that warrant further clinical exploration.

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Publication Details

Journal
Scientific Reports
Published
2025-10-03
DOI
https://doi.org/10.1038/s41598-025-13315-6
Citations
1
Primary Topic
Cancer-related gene regulation
Type
article
Field-Weighted Citation Impact
0.81
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article

Comprehensive bioinformatics analysis reveals prognostic significance and immunological roles of WNT gene family in breast cancer

Chandan Saha, Muztaba Fuad, Sarwar Hossen, Md. Jubayer Hossain et al.
1 citations
Scientific Reports
Cancer-related gene regulation
0.81
article

Comprehensive bioinformatics analysis reveals prognostic significance and immunological roles of WNT gene family in breast cancer

Chandan Saha, Muztaba Fuad, Sarwar Hossen, Md. Jubayer Hossain, Fatema Tuj Johora Fariha
article en
1 citations

Abstract

Breast cancer (BRCA) is one of the most commonly diagnosed cancers and the leading cause of cancer-related deaths among women worldwide. Previous studies have shown that the WNT (wingless type) gene family plays a role in the development of various cancers. However, comprehensive analysis of WNTs in BRCA remains largely unexplored. In this study, we examined the expression patterns, clinical relevance, and survival outcomes associated with the WNT family and identified key prognostic WNTs. We further investigated genetic alterations, DNA methylation, and drug sensitivity using cBioPortal, SMART, and GSCA databases. Data from GEO and DepMap were used for validation. Our findings revealed that while WNT2 and WNT7B were significantly upregulated and WNT11 was downregulated, WNT2 paradoxically correlated with favorable prognosis despite its oncogenic overexpression. Amplification was the most common type of alteration among the key WNTs selected for analysis and was correlated with immune infiltration and immunotherapy-related biomarkers. Functional enrichment analysis uncovered a novel connection between WNT signaling and neurodegenerative pathways. Furthermore, co-expression and drug sensitivity analyses revealed that WNTs influence the efficacy of multiple anti-cancer agents, offering potential targets for precision oncology. This study provides novel insights into the multifaceted role of WNT genes in BRCA, identifying them as promising prognostic indicators and immunotherapeutic targets that warrant further clinical exploration.

Scientific ReportsVol. 15(1)
Bangladesh University (BD), Jagannath University (BD)
Openalex Percentile: Top 23%
Cancer-related gene regulation
0.81
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