In vivo functional screens reveal <i>KEAP1</i> loss as a driver of chemoresistance in small cell lung cancer

Exquisitely chemosensitive initially, small cell lung cancer (SCLC) exhibits dismal outcomes owing to rapid transition to chemoresistance. Elucidating the genetic underpinnings has been challenging owing to limitations with cellular models. As SCLC patient-derived xenograft (PDX) models mimic therapeutic responses, we perform genetic screens in chemosensitive PDX models to identify drivers of chemoresistance. cDNA overexpression screens identify <i>MYC</i>, <i>MYCN</i>, and <i>MYCL</i>, while CRISPR deletion screens identify <i>KEAP1</i> loss as driving chemoresistance. Deletion of <i>KEAP1</i> switched a chemosensitive SCLC PDX model to become chemoresistant and resulted in sensitivity to inhibition of glutamine metabolism. Data from the IMpower133 clinical trial revealed ~6% of patients with extensive-stage SCLC exhibit <i>KEAP1</i> genetic alterations, with activation of a KEAP1/NRF2 transcriptional signature associated with reduced survival upon chemotherapy treatment. While roles for KEAP1/NRF2 have been unappreciated in SCLC, our genetic screens revealed KEAP1 loss as a driver of chemoresistance, while patient genomic analyses demonstrate clinical importance.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-04-23
DOI
https://doi.org/10.1126/sciadv.adq7084
Citations
4
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
4.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In vivo functional screens reveal KEAP1 loss as a driver of chemoresistance in small cell lung cancer

Feinan Wu, Barzin Y. Nabet, Jackson P. Fatherree, Scott Best et al.
4 citations
Science Advances
Lung Cancer Research Studies
4.18
article

In vivo functional screens reveal KEAP1 loss as a driver of chemoresistance in small cell lung cancer

Feinan Wu, Barzin Y. Nabet, Jackson P. Fatherree, Scott Best, Myung Chang Lee, Patrick J. Paddison, Slobodan Beronja, Ali K. Ibrahim, Eli Grunblatt, Jae Heun Chung, Pritha Chanana, Daniel S. Hippe, Anna-Lena B.G. Vigil, Lucas B. Sullivan, David MacPherson, Lauren Brumage, Zhe Ying
article en
4 citations

Abstract

Exquisitely chemosensitive initially, small cell lung cancer (SCLC) exhibits dismal outcomes owing to rapid transition to chemoresistance. Elucidating the genetic underpinnings has been challenging owing to limitations with cellular models. As SCLC patient-derived xenograft (PDX) models mimic therapeutic responses, we perform genetic screens in chemosensitive PDX models to identify drivers of chemoresistance. cDNA overexpression screens identify <i>MYC</i>, <i>MYCN</i>, and <i>MYCL</i>, while CRISPR deletion screens identify <i>KEAP1</i> loss as driving chemoresistance. Deletion of <i>KEAP1</i> switched a chemosensitive SCLC PDX model to become chemoresistant and resulted in sensitivity to inhibition of glutamine metabolism. Data from the IMpower133 clinical trial revealed ~6% of patients with extensive-stage SCLC exhibit <i>KEAP1</i> genetic alterations, with activation of a KEAP1/NRF2 transcriptional signature associated with reduced survival upon chemotherapy treatment. While roles for KEAP1/NRF2 have been unappreciated in SCLC, our genetic screens revealed KEAP1 loss as a driver of chemoresistance, while patient genomic analyses demonstrate clinical importance.

Science AdvancesVol. 11(17)
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA), University of Washington (US), Fred Hutch Cancer Center (US), Seattle University (US), Icahn School of Medicine at Mount Sinai (US)
Good health and well-being
Openalex Percentile: Top 6%
Lung Cancer Research Studies
4.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.