Kris Cameron Wood
· Professor of Pharmacology and Cancer BiologyVerifiedDuke University · Pharmacology and Cancer Biology
Active 1973–2026
Research topics
- Biology
- Cancer research
- Genetics
- Cell biology
- Pharmacology
- Computational biology
- Biochemistry
- Internal medicine
- Chemistry
- Medicine
Selected publications
Exploiting tumor lineage features for precision cancer therapy
Trends in cancer · 2026-01-03
articleOpen accessNature Communications · 2026-01-14
articleOpen accessSenior authorTargeted therapies have revolutionized cancer care. Unfortunately, most patients develop refractory, multifocal resistance to these therapies within a matter of months. Here, we demonstrate that the evolution of resistance to EGFR inhibitors in EGFR-mutant non-small cell lung cancer endows cells with hypersensitivity to a PAINS-like small molecule, MCB-613. Systematic proteomic, functional genomic, and biochemical studies revealed that MCB-613 binds KEAP1 in a covalent, cysteine-independent fashion, acting as a divalent molecular bridge that relies upon lysine residues in the KEAP1 dimerization domain to join monomers of KEAP1 together. Oligomerization of KEAP1 by MCB-613 sets into motion a fatal cascade of KEAP1 dysfunction, ROS accumulation, and ATF4/CHOP-dependent cell death. Together, these findings demonstrate that diverse models of EGFR inhibitor-resistant NSCLC share the common feature of elevated integrated stress response activity, and that a covalent molecular bridge which activates non-canonical KEAP1-ATF4 signaling can exploit this feature to select against resistance evolution. EGFR inhibitors are standard of care in patients with EGFR-mutant non-small cell lung cancer (NSCLC) but resistance often develops. Here the authors report that the evolution of EGFR inhibitor resistance in EGFR-mutant NSCLC results in a sensitivity to the compound, MCB-613, and investigate the underlying mechanism of action.
bioRxiv (Cold Spring Harbor Laboratory) · 2026-02-12
articleOpen accessSenior authorCorrespondingAbstract Recent studies have identified recurrent features of metastatic cancer cells such as their increased chromosomal instability (CIN) and frequent loss of the short arm of chromosome 17 (Chr17p). However, it remains unclear whether these features induce synthetic lethal vulnerabilities that can be used to specifically target metastatic disease. Using whole-genome CRISPR/Cas9 loss-of-function screens performed in matched primary and CIN-high brain-metastatic tumor models, we discovered that brain-metastatic cells exhibit increased sensitivity to the loss of diverse regulators of chromosome segregation. Knockout of one such regulator, NDE1, selectively inhibited the growth of brain-metastatic models in vitro and in vivo , an effect driven by the loss of STAG2 and consequent induction of CIN. Surprisingly, dependence on NDE1 was also highly correlated with loss of Chr17p across hundreds of cancer cell lines in DepMap, the result of losing the NDE1 paralog NDEL1 , which resides at this locus. CIN and Chr17p loss are thus independently sufficient to drive NDE1 dependence in brain-metastatic cells, and the presence of both features increases NDE1 dependence additively. These findings demonstrate that metastasis evolution endows cancer cells with specific vulnerabilities, including one that is driven by two recurrently altered molecular features of metastatic disease.
2025-11-24
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Recent grants
Single cell functional dissection of tumor microenviornment-driven drug resistance
NIH · $359k · 2018–2020
Selectively targeting apoptosis in PIK3CA mutant colorectal cancers
NIH · $1.8M · 2016–2022
NIH · $149k · 2011
Spatiotemporal Dynamics of Collective Antibiotic Resistance in Microbial Communities
NIH · $2.7M · 2017–2027
Frequent coauthors
- 114 shared
Patrick Tan
National University Cancer Institute, Singapore
- 114 shared
Jacob P. Hoj
- 113 shared
Hazel X. Ang
- 112 shared
Micah A. Luftig
Duke University
- 108 shared
Yunqiang Chu
- 108 shared
Lyla J. Stanland
- 97 shared
Mariaelena Pierobon
George Mason University
- 95 shared
Andrew M. Waters
University of Cincinnati
Labs
Education
- 2007
Ph.D.
Massachusetts Institute of Technology
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