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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Identify GDPD3 as a key regulator of epithelial–mesenchymal transition and Prostate adenocarcinoma progression via the LPA/LPAR1/AKT axis: Transcriptomic and experimental study

Provisionally accepted
Lin  HaoLin Hao1Xiangqiu  ChenXiangqiu Chen1Tao  HeTao He2Tao  WuTao Wu1Zhiqiang  WenZhiqiang Wen1Ziliang  JiZiliang Ji1Xichun  ZhengXichun Zheng1Qingyou  ZhengQingyou Zheng1Qingchun  ZhouQingchun Zhou1*Qishan  LongQishan Long2*Donglin  SunDonglin Sun1*
  • 1Shenzhen Hospital, Southern Medical University, Shenzhen, China
  • 2Shenzhen People's Hospital Department of Urology, Shenzhen, China

The final, formatted version of the article will be published soon.

Background: Prostate adenocarcinoma (PRAD) is a common malignancy with marked clinical heterogeneity, complicating prognosis and disease monitoring. Traditional tools like the Gleason score lack molecular and microenvironmental insights, underscoring the need for biomarker-driven predictive models. Methods: Single-cell RNA-seq data from GEO and bulk RNA-seq data from TCGA were analyzed. scRNA-seq processing used the Seurat package, with cluster-specific genes identified via FindAllMarkers. Differentially expressed genes (DEGs) from bulk data were obtained using limma, and key gene modules were identified through WGCNA. Using univariate Cox regression and LASSO analysis, a prognostic model was developed based on cluster-specific genes, key module genes, and differentially expressed genes. Clinical validation included comparison of tumor and adjacent normal tissues, revealing significantly elevated GDPD3 expression, further confirmed by immunohistochemistry. In vitro knockdown experiments were conducted in DU145 cells to assess GDPD3's role in promoting proliferation, migration, and epithelial–mesenchymal transition (EMT). Results: In this study, through integrated single-cell sequencing and Bulk-RNA-seq analyses, we established a 21-gene prognostic model. QPCR confirmed significant upregulation of three candidates, including GDPD3, which was also elevatedin malignant tissues. Knockdown of GDPD3 inhibited tumor cell proliferation, invasion, and migration. Mechanistically, GDPD3 regulated the levels of lysophosphatidic acid (LPA), which in turn induced EMT in tumor cells. Inhibition or knockdown of the LPA receptor LPAR1 suppressed EMT. LPA promoted EMT through activation of the AKT signaling pathway, and inhibition of this pathway reversed LPA-induced EMT. Conclusion: This study underscores key molecular mechanisms underlying prostate cancer progression, with GDPD3 emerging as a potential therapeutic target.

Keywords: epithelial–mesenchymal transition, GDPD3, prognosis, Prostate adenocarcinoma, Transcriptomic Analysis

Received: 29 May 2025; Accepted: 03 Dec 2025.

Copyright: © 2025 Hao, Chen, He, Wu, Wen, Ji, Zheng, Zheng, Zhou, Long and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Qingchun Zhou
Qishan Long
Donglin Sun

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