Engineering selective PI3Kγ inhibitors with antitumor and immunomodulatory potentials

  • Yi Zuo (Co-first author)
  • , Yiru Pu (Co-first author)
  • , Jianan Liu (Co-first author)
  • , Hongyu Chen (Co-first author)
  • , Yao Chen
  • , Xinlan Li
  • , Yan Wang
  • , Tingting Zhang
  • , Hongbin Cheng*
  • , Jin Liu
  • , Yun Deng
  • , Zhaotong Cong
  • , Maolin Wang*
  • , Jun Lu*
  • , Shilin Chen
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

PI3Kγ represents a promising therapeutic target for its pivotal role in macrophage recruitment and polarization and its significant association with tumor invasion and metastasis. In this study, a series of novel indole-based PI3Kγ selective inhibitors were generated by machine learning combined with molecular hybridization. Intriguingly, the representative IHA-5f displayed picomolar-level potency and highly selective inhibition to PI3Kγ relative to PI3Kα/β/δ. Moreover, IHA-5f manifested prominent anti-melanoma activity in vitro and in vivo with no detectable visceral toxicity. Mechanistically, IHA-5f efficiently suppressed tumor cell proliferation and migration, and induced apoptosis by suppressing the PI3Kγ/AKT/NF-κB signaling axis. Concurrently, it restrained the M2 polarization of tumor-associated macrophages, thereby augmenting the antitumor immune response. This study underscores the potential for PI3Kγ inhibitors as immunomodulators and direct antitumor agents.

Original languageEnglish
Number of pages20
JournalActa Pharmaceutica Sinica B
DOIs
Publication statusE-pub ahead of print - 13 Nov 2025

User-Defined Keywords

  • Immunomodulation
  • Indole-hybrid aromatic ring
  • Machine learning
  • Melanoma treatment
  • Molecular hybridization
  • PI3K/AKT/NF-κB signaling axis
  • PI3Kγ-targeted inhibitor
  • Tumor-associated macrophage reprograming

Fingerprint

Dive into the research topics of 'Engineering selective PI3Kγ inhibitors with antitumor and immunomodulatory potentials'. Together they form a unique fingerprint.

Cite this