Few-Shot Identification of Active Therapeutic Peptide Networking with Gradient Dynamics against Cancer

Runzhi Xia1,2, Wei Sun1, Jiaming Liang2,3

  • 1China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100029, P. R. China.

Insights

A novel peptide fusion (ER) enhances tumor-selective cancer cell killing and drug delivery. This injectable hydrogel platform shows high efficacy and no toxicity in preclinical models, offering a promising osteosarcoma treatment.

Area of Science:

  • Biomaterials Science
  • Oncology
  • Drug Delivery

Background:

  • Osteosarcoma treatment faces challenges with current chemotherapy limitations.
  • Anticancer peptides offer potential but suffer from degradation and poor tumor selectivity.
  • Developing targeted and effective cancer therapies is a critical unmet need.

Purpose of the Study:

  • To engineer a novel peptide-drug conjugate for enhanced osteosarcoma treatment.
  • To develop an injectable hydrogel system for controlled drug release and improved therapeutic outcomes.
  • To evaluate the safety and efficacy of the novel therapeutic platform in preclinical models.

Main Methods:

  • A few-shot peptide screening strategy identified RT2 and E16 peptides.
  • Engineered a fusion peptide E16-RT2 (ER) with enhanced tumor-selective cytotoxicity.
  • Developed an injectable hydrogel encapsulating doxorubicin with gradient release dynamics.

Main Results:

  • The engineered ER peptide demonstrated 175% enhanced tumor-selective cytotoxicity and cancer membrane targeting.
  • The hydrogel system provided sustained therapeutic efficacy for over 9 days.
  • No systemic or organ toxicity was observed in murine models.

Conclusions:

  • The ER peptide-hydrogel platform effectively overcomes limitations of conventional chemotherapy for osteosarcoma.
  • The dual functionality of ER peptides and smart biomaterials offers a clinically translatable approach.
  • The demonstrated safety-efficacy profile positions this platform as a viable strategy for cancer treatment.