Metformin Sensitizes PTEN-deficient Prostate Cancer to PARP Inhibitors by Rebuilding NADP <sup>+</sup> Homeostasis

<b>Purpose:</b> DNA repair and DNA damage responses in cancer cells are regulated by metabolic reprogramming, which is increasingly recognized as a key factor contributing to PARP inhibitor (PARPi) treatment failure. This study aims to explore the metabolic mechanisms underlying PARPi resistance in PTEN-deficient prostate cancer and identify clinically viable metabolic interventions to overcome therapy failure. <b>Experimental Design:</b> A multicenter retrospective cohort was analyzed to evaluate the efficacy of combined metformin-PARPi therapy. Mechanistic studies utilized molecular assays to elucidate PARPi resistance and its critical determinants. Machine learning models predicting PARPi response were developed using clinical datasets and interpreted via SHAP analysis. <b>Results:</b> In PTEN-deficient cancer cells, lactate accumulation activated the NHE1/PKC/NOX1 axis, sustaining elevated NADP<sup>+</sup> levels. NADP<sup>+</sup> competitively inhibited the formation of PARPi-PARP-DNA complexes, leading to PARPi resistance. However, metformin administration significantly elevated NADP<sup>+</sup> levels, inducing allosteric effects on PARP structures and enhancing PARPi efficacy. Based on these findings, we developed and validated a predictive machine learning model for PARPi response, which was interpreted using SHAP and deployed on a web platform. <b>Conclusions:</b> Metformin modulates NADP<sup>+</sup> levels to influence PARPi sensitivity in PTEN-deficient prostate cancer. Additionally, we developed a machine learning model to provide clinicians with personalized predictions for PARPi response.

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Journal
International Journal of Biological Sciences
Published
2026-01-08
DOI
https://doi.org/10.7150/ijbs.121033
Primary Topic
Metabolism, Diabetes, and Cancer
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article
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article

Metformin Sensitizes PTEN-deficient Prostate Cancer to PARP Inhibitors by Rebuilding NADP + Homeostasis

Guanyu Qu, Zirui Xi, Hao Ding, Peixiang Lan et al.
International Journal of Biological Sciences
Metabolism, Diabetes, and Cancer
article

Metformin Sensitizes PTEN-deficient Prostate Cancer to PARP Inhibitors by Rebuilding NADP + Homeostasis

Guanyu Qu, Zirui Xi, Hao Ding, Peixiang Lan, Hao Peng, Yuan Gao, Zhiqiang Chen, Xiaodong Hao, Le Li, Zheng Chao, Zhihua Wang, Yanan Wang, Shuo Zheng, Yao Zhu, Xiangdong Guo, Chunyu Zhang
article en

Abstract

<b>Purpose:</b> DNA repair and DNA damage responses in cancer cells are regulated by metabolic reprogramming, which is increasingly recognized as a key factor contributing to PARP inhibitor (PARPi) treatment failure. This study aims to explore the metabolic mechanisms underlying PARPi resistance in PTEN-deficient prostate cancer and identify clinically viable metabolic interventions to overcome therapy failure. <b>Experimental Design:</b> A multicenter retrospective cohort was analyzed to evaluate the efficacy of combined metformin-PARPi therapy. Mechanistic studies utilized molecular assays to elucidate PARPi resistance and its critical determinants. Machine learning models predicting PARPi response were developed using clinical datasets and interpreted via SHAP analysis. <b>Results:</b> In PTEN-deficient cancer cells, lactate accumulation activated the NHE1/PKC/NOX1 axis, sustaining elevated NADP<sup>+</sup> levels. NADP<sup>+</sup> competitively inhibited the formation of PARPi-PARP-DNA complexes, leading to PARPi resistance. However, metformin administration significantly elevated NADP<sup>+</sup> levels, inducing allosteric effects on PARP structures and enhancing PARPi efficacy. Based on these findings, we developed and validated a predictive machine learning model for PARPi response, which was interpreted using SHAP and deployed on a web platform. <b>Conclusions:</b> Metformin modulates NADP<sup>+</sup> levels to influence PARPi sensitivity in PTEN-deficient prostate cancer. Additionally, we developed a machine learning model to provide clinicians with personalized predictions for PARPi response.

International Journal of Biological SciencesVol. 22(3)
Hebei Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fudan University Shanghai Cancer Center (CN), First Affiliated Hospital of Hebei Medical University (CN), Liaocheng People's Hospital (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 82%
Metabolism, Diabetes, and Cancer
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