Emerging therapies targeting the delta-like ligand 3 (DLL3) in small cell lung cancer

Charles M Rudin1, Martin Reck2, Melissa L Johnson3

  • 1Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. rudinc@mskcc.org.

Insights

New delta-like ligand 3 (DLL3) targeted therapies show promise for treating aggressive small cell lung cancer (SCLC) after initial treatments fail. Research explores antibody-drug conjugates, T-cell engagers, and CAR T-cell therapies for advanced SCLC.

Area of Science:

  • Oncology
  • Translational Medicine
  • Drug Development

Background:

  • Small cell lung cancer (SCLC) is an aggressive neuroendocrine cancer with limited treatment options beyond initial chemo-immunotherapy.
  • Most patients experience rapid disease recurrence, necessitating novel therapeutic strategies.
  • Delta-like ligand 3 (DLL3) is overexpressed on SCLC cells, making it a promising target.

Purpose of the Study:

  • To review the current landscape of DLL3-targeted therapies for SCLC.
  • To analyze lessons learned from past trials, such as rovalpituzumab tesirine (Rova-T).
  • To discuss emerging DLL3-targeting agents and future directions.

Main Methods:

  • Review of clinical experience with rovalpituzumab tesirine (Rova-T).
  • Examination of preclinical and clinical data for ongoing DLL3-targeting agents.
  • Discussion of challenges and opportunities in DLL3-targeted therapy development.

Main Results:

  • The development of Rova-T was halted, providing valuable insights for future DLL3-targeted therapies.
  • Several DLL3-targeting agents, including T-cell engagers (tarlatamab, BI 764532, HPN328) and CAR T-cell therapy (AMG 119), are in development.
  • DLL3 shows potential as a biomarker for patient selection and monitoring disease progression.

Conclusions:

  • DLL3-targeted therapies represent a promising avenue for treating SCLC patients with limited options.
  • Understanding past failures and ongoing research is crucial for advancing DLL3-targeted treatments.
  • Future strategies may involve combinatorial approaches and leveraging DLL3 as a predictive biomarker.