Abstract 3408: Patient-derived tumor models of tyrosine kinase inhibitor-induced neuroendocrine-transformed lung carcinoma
Abstract Background: Lung cancer is the leading cause of cancer-related deaths worldwide, with non-small cell lung cancer (NSCLC) comprising 85% of cases and small cell lung cancer (SCLC) 15%. Tyrosine kinase inhibitors (TKIs) are the frontline therapy for EGFR-mutant and ALK-fusion adenocarcinomas, yet most patients develop resistance. In 5-10% of TKI-resistant cases, adenocarcinomas (ADC) undergo lineage switching to aggressive neuroendocrine (NE) carcinomas, including LCNEC and SCLC; these patients lack effective therapies and have poor clinical outcomes. To better study NE-transformed tumors, we established clinically relevant patient-derived xenograft (PDX) and xenograft-derived organoid (XDO) models to identify novel therapeutic vulnerabilities and elucidate mechanisms underlying NE transformation. Methods: Patient biopsy tissues were subcutaneously engrafted into NOD-SCID mice to generate nine NE-transformed PDX models, and six matched long-term XDOs (>10 passages) were established using organoid culture protocol. PDXs/XDOs were characterized by H&E and immunohistochemistry, whole-exome sequencing, and bulk RNA-sequencing. For in vivo therapeutic profiling, donor PDX tumors were expanded and randomized into four arms: vehicle, Osimertinib (25 mg/kg, QDx5), chemotherapy [Cisplatin (3 mg/kg, QW) + Etoposide (8 mg/kg, TIW)], or combination. For in vitro drug testing, XDOs were dissociated into single cells, seeded into 384-well plates, and treated with Osimertinib, Cisplatin, or Etoposide across a 21-point dilution series (1 nM-10 μM), with viability measured on Day 7 using CellTiter-Glo 3D. Results: Paired PDXs/XDOs retained key genetic drivers, including EGFR, TP53, and RB1 mutations, along with recurrent alterations in the NOTCH signaling pathway. Histologically, the models recapitulated patient tumor phenotypes, including three SCLC-transformed, two LCNEC-transformed (one ADC-like, one NE-like), and one mixed ADC/SCLC case. Notably, the mixed-histology model maintained both ADC and SCLC components in long-term XDO culture, preserving intratumoral heterogeneity. In vivo therapeutic testing revealed minimal response to Osimertinib, chemotherapy, or combination therapy in NE-high tumors, whereas an ADC-like LCNEC PDX exhibited sensitivity to these treatment arms, consistent with clinical observations. XDO drug responses were highly concordant with their matched PDXs, demonstrating resistance to Osimertinib and chemotherapy (IC50 > 1 μM). Preliminary high-throughput screening of XDOs with a 58-compound epigenetic probe library identified a candidate therapeutic target to be presented. Conclusion: Our NE-transformed models preserve patient tumor molecular features, histopathology, and therapeutic response, providing robust platforms to identify novel therapeutic strategies and dissect mechanisms driving lung NE transformation. Citation Format: Matthew Djan, Sebastiao N. Martins-Filho, Nhu-An Pham, Nikolina Radulovich, Quan Li, Ming Li, Geoffrey Liu, Ming Sound Tsao. Patient-derived tumor models of tyrosine kinase inhibitor-induced neuroendocrine-transformed lung carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3408.
Authors
- Nhu‐An Pham (ORCID: https://orcid.org/0000-0003-3063-0292)
- Sebastião N. Martins-Filho (ORCID: https://orcid.org/0000-0002-6123-2601)
- Nikolina Radulovich (ORCID: https://orcid.org/0000-0002-8224-7263)
- M. Li
- Ming Sound Tsao
- Geoffrey Liu
- Quan Li
- Matthew Djan
Institutions
- University of Alberta (CA)
- University of Toronto (CA)
- Princess Margaret Cancer Centre (CA)
Publication Details
- Journal
- Cancer Research
- Published
- 2026-04-03
- DOI
- https://doi.org/10.1158/1538-7445.am2026-3408
- Primary Topic
- Lung Cancer Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00