ENIGMA+: a national, decentralized, remote consent study for clinical data and biospecimen collection in patients

Joyce Liang1, Sarah Waliany1, Andrew Do1

  • 1Department of Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA, United States.

The Oncologist
|July 17, 2025
PubMed
Abstract

Insights

A decentralized approach successfully enrolled diverse patients with ALK-positive non-small-cell lung cancer, enabling comprehensive data collection for improved treatment development and outcomes.

Area of Science:

  • Oncology
  • Genomics
  • Clinical Research

Background:

  • Drug resistance to ALK inhibitors is a significant challenge in ALK fusion-positive (ALK+) non-small-cell lung cancer (NSCLC).
  • Limited patient representation in studies hinders the development of new therapies and understanding of resistance mechanisms.
  • A decentralized research infrastructure can potentially broaden patient access and inclusion.

Purpose of the Study:

  • To evaluate the feasibility of a decentralized research infrastructure for ALK+ NSCLC.
  • To establish a clinical and biospecimen repository with broader patient participation.
  • To overcome barriers in patient accrual for ALK+ NSCLC research.

Main Methods:

  • Patients with advanced ALK+ NSCLC were enrolled remotely across the US.
  • Clinical data and tumor molecular profiling were collected via remote follow-ups.
  • Archival tumor and saliva biospecimens were obtained for analysis.

Main Results:

  • 80% of eligible patients enrolled via remote consent, with 100% clinical data collection.
  • Patients represented 31 states, with most receiving care outside the study center.
  • ALK resistance mutations were found in 54% of treatment-resistant biopsies; TP53 and CDKN2A/B were also co-altered.

Conclusions:

  • A decentralized design is feasible for enhancing patient inclusion in ALK+ NSCLC research.
  • This scalable framework can overcome participation barriers, improving therapy development.
  • Continued accrual and analysis aim to advance treatment strategies and patient outcomes.

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