Bayesian-optimized deep learning for identifying essential genes of mitophagy and fostering therapies to combat drug resistance in human cancers

IF 5.3
Wenyi Jin, Junwen Chen, Zhongyi Li, Zhang Yubiao, Hao Peng
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Abstract

Dysregulated mitophagy is essential for mitochondrial quality control within human cancers. However, identifying hub genes regulating mitophagy and developing mitophagy-based treatments to combat drug resistance remains challenging. Herein, BayeDEM (Bayesian-optimized Deep learning for identifying Essential genes of Mitophagy) was proposed for such a task. After Bayesian optimization, BayeDEM demonstrated its excellent performance in identifying critical genes regulating mitophagy of osteosarcoma (area under curve [AUC] of ROC: 98.96%; AUC of PR curve: 100%). CERS1 was identified as the most essential gene regulating mitophagy (mean (|SHAP value|): 4.14). Inhibition of CERS1 sensitized cisplatin-resistant osteosarcoma cells to cisplatin, restricting their growth, proliferation, invasion, migration and colony formation and inducing apoptosis. Mechanistically, inhibition of CERS1 restricted mitophagy to destroy the mitochondrial quality control in cisplatin-resistant osteosarcoma cells, including mitochondrial membrane potential loss and unfavourable mitochondrial dynamics, rendering them susceptible to cisplatin-induced apoptosis. More importantly, mitophagy facilitated the immunosuppressive microenvironment formation by significantly modulating T-cell differentiation, adhesion and antigen presentation, and mitophagy mainly affects malignant osteoblasts in the early-mid developmental stage. Immunologically, mitophagy potentially modulated the MIF signalling transmission between malignant osteoblasts and B cells, DCs, CD8+ T cells, NK cells and monocytes through the MIF-(CD74 + CXCR4) receptor–ligand interaction, thereby modulating the biological functions of these immune cells. Collectively, BayeDEM emerged as a promising tool for oncologists to identify pivotal genes governing mitophagy, thereby enabling mitophagy-centric therapeutic strategies to counteract drug resistance.

Abstract Image

贝叶斯优化的深度学习识别有丝分裂的基本基因和促进治疗,以对抗人类癌症的耐药性。
线粒体自噬失调对人类癌症的线粒体质量控制至关重要。然而,确定调节线粒体自噬的中心基因和开发基于线粒体自噬的治疗方法来对抗耐药性仍然具有挑战性。为此,我们提出了BayeDEM(贝叶斯优化深度学习,用于识别线粒体自噬的必要基因)。经贝叶斯优化后,BayeDEM在识别骨肉瘤有丝分裂调节关键基因方面表现出优异的性能(ROC曲线下面积[AUC]: 98.96%;PR曲线AUC: 100%)。CERS1被认为是调控线粒体自噬最重要的基因(平均(|SHAP值|):4.14)。抑制CERS1使顺铂耐药骨肉瘤细胞对顺铂敏感,限制其生长、增殖、侵袭、迁移和集落形成,诱导细胞凋亡。在机制上,抑制CERS1限制了线粒体自噬,破坏了顺铂耐药骨肉瘤细胞的线粒体质量控制,包括线粒体膜电位损失和不利的线粒体动力学,使它们容易受到顺铂诱导的凋亡。更重要的是,线粒体自噬通过显著调节t细胞的分化、粘附和抗原呈递促进了免疫抑制微环境的形成,线粒体自噬主要影响发育早中期的恶性成骨细胞。免疫方面,线粒体自噬可能通过MIF-(CD74 + CXCR4)受体-配体相互作用调节恶性成骨细胞与B细胞、dc细胞、CD8+ T细胞、NK细胞和单核细胞之间的MIF信号传递,从而调节这些免疫细胞的生物学功能。总的来说,BayeDEM成为肿瘤学家识别控制线粒体自噬的关键基因的有前途的工具,从而使以线粒体自噬为中心的治疗策略能够对抗耐药性。
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来源期刊
CiteScore
11.50
自引率
0.00%
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期刊介绍: The Journal of Cellular and Molecular Medicine serves as a bridge between physiology and cellular medicine, as well as molecular biology and molecular therapeutics. With a 20-year history, the journal adopts an interdisciplinary approach to showcase innovative discoveries. It publishes research aimed at advancing the collective understanding of the cellular and molecular mechanisms underlying diseases. The journal emphasizes translational studies that translate this knowledge into therapeutic strategies. Being fully open access, the journal is accessible to all readers.
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