BASECAMP-1 screening study: a model for efficient enrolment in precision oncology clinical trials

J Randolph Hecht1, Julian R Molina2, Kirstin Liechty3

  • 1UCLA Jonsson Comprehensive Cancer Center, Santa Monica, California, USA.

BMJ Oncology
|April 1, 2026
PubMed
Abstract

Insights

A new clinico-genomic screening method significantly improved the identification of patients for precision oncology trials, particularly those with rare molecular profiles like human leucocyte antigen (HLA)-A loss of heterozygosity (LOH). This approach enhances patient recruitment efficiency for advanced cancer therapies.

Area of Science:

  • Oncology
  • Genomics
  • Clinical Trials

Background:

  • Identifying patients for precision oncology, especially rare molecular subtypes, is a significant challenge.
  • Human leucocyte antigen (HLA)-A loss of heterozygosity (LOH) is a key eligibility criterion for certain advanced solid malignancy therapies.
  • A master screening study, BASECAMP-1 (NCT04981119), was developed to address these recruitment challenges.

Purpose of the Study:

  • To describe the BASECAMP-1 study design and its objectives.
  • To compare the efficiency of traditional screening methods versus a novel bioinformatic approach for identifying eligible patients.
  • To discuss the broader advantages of the BASECAMP-1 screening study.

Main Methods:

  • Two patient identification strategies were employed: traditional screening and a co-developed bioinformatic program, Tempus Aware.
  • Tempus Aware utilizes a clinico-genomic database with linked genomic, transcriptomic, and clinical data from routine care.
  • Patients were screened for advanced solid malignancy and germline HLA-A*02 heterozygosity with tumor-associated HLA-A LOH.

Main Results:

  • The Tempus Aware approach identified eligible patients more efficiently (1.8 participants/month) compared to the traditional method (0.7 participants/month).
  • The bioinformatic approach leveraged existing clinical tumor sequencing, reducing resource use and study staff burden.
  • Enrollment increased from 30 patients using the traditional method over 42 months to 55 patients using Tempus Aware over the last 30 months.

Conclusions:

  • Clinico-genomic screening, as demonstrated by BASECAMP-1, offers a more efficient method for patient identification in precision oncology.
  • The use of bioinformatic tools integrated with routine clinical data streamlines patient selection.
  • Collaborative data-sharing can further enhance precision oncology initiatives.

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