HomeScienceNature Publishes Biobank Mapping Cance
SCIENCE

Nature Publishes Biobank Mapping Cancer Gene Dependencies

Researchers derived 256 patient-derived tumour organoids across five cancer types and mapped gene dependencies across 162 models.

WHAT YOU NEED TO KNOW
  • 256 tumour organoid models were derived from 878 unique donors across five cancer types.
  • Whole-genome sequencing was performed on all 256 organoids and 171 matched patient tumours.
  • Genome-wide CRISPR-Cas9 screens were successfully executed across 162 organoid cultures.
  • Analysis identified a median of 1,440 fitness genes per organoid model.

Nature has published research detailing a UK initiative that created a biobank of 256 clinically annotated tumour organoids across five cancer types to systematically map cancer gene vulnerabilities.

Led by a network of five clinical sites in Birmingham, Cambridge, Glasgow, London, and Southampton, researchers gathered tissue samples alongside germline reference normal samples from 878 donors. Fresh tumour tissue was sent to the Wellcome Sanger Institute between May 2016 and November 2023 for centralized organoid derivation.

Derivation and genomic mapping

The project focused on five gastrointestinal and gynaecological cancers: colorectal, oesophageal, ovarian, pancreatic, and gastric adenocarcinomas. Overall, 256 organoid cultures were successfully established from 907 processed samples, representing a 28 percent derivation efficiency rate. When short-term cultures were included and low-cellularity samples excluded, the success rate reached 65 percent. Once banked, 93 percent of the cultures passed freeze-thaw quality control checks.

Whole-genome sequencing was conducted on all 256 organoid models, with patient-matched tumour tissue sequenced for 171 models. Genomic comparisons showed high correlation between organoids and parent tumours in mutational load, structural variants, and somatic copy number alterations. A subset of 133 models was derived as part of the Human Cancer Model Initiative.

Dependency screening

To map gene vulnerabilities, researchers performed genome-wide CRISPR-Cas9 screens across 162 organoid models cultured in a 5 percent basement membrane extract-2 suspension system. The screens used the minimal genome-wide CRISPR-Cas9 library, known as MinLibCas9, with 16 models also screened using the Yusa v1.1 library.

Using the BAGEL2 algorithm, the analysis identified a median of 1,440 fitness genes per organoid, with a range between 297 and 2,160. Data from the project has been made publicly accessible through the Cell Model Passports database, with models distributed through commercial and non-profit repositories.

Xentir Media
Xentir Media NewsroomSource-backed AI and technology coverage, drafted by Xentir's automated editorial system under fixed human-set rules. See our editorial policy and AI usage policy.
J
Jomon · Founder & EditorFounder and editor of Xentir Media. Sets the editorial rules the newsroom system runs under, and is accountable for its corrections. About Jomon · [email protected]
The Xentir Brief
The developments worth knowing — one useful email.
Get the Brief →