Small cell lung cancer (SCLC) transformation is an incompletely characterized mechanism of resistance to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in EGFR-mutant cancers, limiting development of optimal treatment approaches. Through single-cell RNA sequencing of malignant pleural effusions from patients who underwent SCLC transformation, we identified heterogeneity and diversity, including distinct neuroendocrine (NE) and mesenchymal non-NE cancer cell subsets, which were maintained in patient-derived cell lines. We demonstrate that EZH2 regulates EGFR expression in NE cells where EGFR expression is silenced at baseline. Although neither epigenetic derepression nor exogenous overexpression of mutant EGFR sensitized the cells to EGFR inhibition, non-NE cells exhibited selective sensitivity to MEK inhibitors. Combined MEK inhibitor and chemotherapy effectively inhibited growth of both NE and non-NE cells in vitro and in vivo. Our findings demonstrate that EGFR-mutant SCLC is composed of mixed cell states with distinct therapeutic vulnerabilities and offer a therapeutic strategy to target tumor heterogeneity in highly plastic and treatment-resistant malignancies such as transformed SCLC.
Atsuko Ogino, Amir Vajdi, Xinmeng Jasmine Mu, Navin R. Mahadevan, Kenneth Ngo, Matthew A. Booker, Paloma Cejas, Jeffrey J. Okoro, Man Xu, Benjamin F. Springer, Benjamin K. Eschle, Cameron M. Messier, Stephen Wang, Sudeepa Syamala, Rubii M. Tamen, Anika E. Adeni, Emily S. Chambers, Israel Canadas, Tran Thai, Camilla L. Christensen, Chunxiao Xu, Patrick H. Lizotte, Geoffrey R. Oxnard, Hideo Watanabe, Henry W. Long, Prafulla C. Gokhale, Cloud P. Paweletz, Lynette M. Sholl, Matthew G. Oser, David A. Barbie, Michael Y. Tolstorukov, Pasi A. Jänne
Usage data is cumulative from January 2026 through March 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,620 | 26 |
| 343 | 2 | |
| Figure | 411 | 0 |
| Supplemental data | 284 | 0 |
| Citation downloads | 45 | 0 |
| Totals | 2,703 | 28 |
| Total Views | 2,731 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.