PEARL: A Multicenter Phase 2 Study of Lorlatinib in Patients with ALK-Rearranged NSCLC and Central Nervous System Disease

  • 0Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

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Summary

This summary is machine-generated.

Lorlatinib shows promise for treating ALK-positive non-small cell lung cancer with brain metastases. This study evaluates its efficacy and safety using new CNS response criteria.

Area Of Science

  • Oncology
  • Translational Research
  • Clinical Trials

Background

  • Patients with ALK-rearranged non-small cell lung cancer (ALK+ NSCLC) and central nervous system (CNS) metastases often have poor performance status, limiting clinical trial participation.
  • There is a critical need for improved and validated assessment criteria for CNS response in ALK+ NSCLC.
  • Lorlatinib has demonstrated systemic activity in ALK+ NSCLC patients.

Purpose Of The Study

  • To evaluate the efficacy and safety of lorlatinib in ALK+ NSCLC patients with progressive brain metastases (BM) and leptomeningeal metastases (LM).
  • To assess intracranial objective response rate (ORR) using refined CNS response evaluation criteria.
  • To conduct biomarker analyses for insights into response and resistance mechanisms.

Main Methods

  • A multicenter, open-label, single-arm, prospective Phase II trial (PEARL study, CTONG2303).
  • Fifty eligible subjects divided into BM (n=30) and LM (n=20) cohorts.
  • Key inclusion criteria: ALK+ NSCLC, progressive CNS metastases, ECOG performance status 0-2 (BM) or 0-3 (LM).
  • Primary endpoint: Intracranial ORR per modified RECIST v1.1 (BM) and RANO-LM criteria (LM).

Main Results

  • This section is not available in the provided abstract.

Conclusions

  • The PEARL study will evaluate lorlatinib's efficacy in CNS metastases for ALK+ NSCLC.
  • Refined CNS response evaluation criteria will be utilized.
  • Biomarker analyses will offer insights into response and resistance mechanisms.