Abstract 2108: Proteomic insights into metastatic small cell lung cancer using patient derived xenograft models.

Abstract Small cell lung cancer (SCLC) is one of the most aggressive solid malignancies with limited treatment options. Access to clinically relevant SCLC tissue is restricted because surgical resection is rare in metastatic disease, making this cancer type difficult to study. Through our multicenter rapid research autopsy (RRA) program, however, we are able to collect not only primary tumors but also multiple metastatic lesions, providing a unique and rare collection of SCLC specimens. In this program, rapid autopsies are performed within four hours after death to ensure optimal tissue quality for downstream analyses. In the current project, we analyzed samples from seven patients with histologically confirmed SCLC, including clinical and metastatic lesions, as well as their corresponding patient-derived tumor xenografts (PDTXs) serially passaged through three generations. To assess whether the original tissue architecture and intratumoral heterogeneity are preserved across PDTX generations, we performed immunohistochemical and proteomic analyses, comparing molecular profiles between the original tumors and their corresponding PDTX models. A subset of SCLC clinical specimens, including matched PDTX-clinical pairs, confirmed that the histologic landscape of the tumors of origin is preserved in the derivative PDTX models. Samples were grouped by patient and anatomical site, and pairwise Pearson correlations of global protein abundance profiles were computed within each group. The mean within-lineage correlation was high (typically >0.8), and correlation heatmaps showed tight clustering across PDTX generations from the same lineage. Across all patients, the only pathways consistently and significantly downregulated in PDTX models compared with the original tumors were the ECM-receptor interaction and Complement and Coagulation Cascade pathways. When analyzing metastatic PDTX samples, we compared liver and lymph node metastases with their corresponding primary patient tumors across PDTX generations. In lymph node metastases, proteins involved in ECM-receptor interaction and EMT pathways were upregulated. In contrast, liver metastases showed upregulation of fatty acid metabolism and peroxisome proliferator-activated receptor signaling pathways, with downregulation of EMT, ECM-receptor interaction, E2F targets, and G2M checkpoint. These findings demonstrate that the proteomic identity of SCLC tumors is largely preserved during serial passaging in PDTX models, while site-specific adaptations emerge in distinct metastatic microenvironments. Citation Format: Sára Surguta, Laura Svajda, Zsolt Megyesfalvi, Bence Ferencz, Ildikó Kovács, Vivien Téglás, Lilla Horváth, Szilvia Török, Balázs Döme, Melinda Rezeli, Jozsef Tovari. Proteomic insights into metastatic small cell lung cancer using patient derived xenograft models [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 2108.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2108
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2108: Proteomic insights into metastatic small cell lung cancer using patient derived xenograft models.

Ildikó Kovács, Lilla Horváth, Szilvia Török, Bence Ferencz et al.
Cancer Research
Lung Cancer Research Studies
article

Abstract 2108: Proteomic insights into metastatic small cell lung cancer using patient derived xenograft models.

Ildikó Kovács, Lilla Horváth, Szilvia Török, Bence Ferencz, Balázs Döme, Z. Megyesfalvi, Sára Eszter Surguta, József Tóvári, Laura Svajda, Melinda Rezeli, Vivien Teglas
article en

Abstract

Abstract Small cell lung cancer (SCLC) is one of the most aggressive solid malignancies with limited treatment options. Access to clinically relevant SCLC tissue is restricted because surgical resection is rare in metastatic disease, making this cancer type difficult to study. Through our multicenter rapid research autopsy (RRA) program, however, we are able to collect not only primary tumors but also multiple metastatic lesions, providing a unique and rare collection of SCLC specimens. In this program, rapid autopsies are performed within four hours after death to ensure optimal tissue quality for downstream analyses. In the current project, we analyzed samples from seven patients with histologically confirmed SCLC, including clinical and metastatic lesions, as well as their corresponding patient-derived tumor xenografts (PDTXs) serially passaged through three generations. To assess whether the original tissue architecture and intratumoral heterogeneity are preserved across PDTX generations, we performed immunohistochemical and proteomic analyses, comparing molecular profiles between the original tumors and their corresponding PDTX models. A subset of SCLC clinical specimens, including matched PDTX-clinical pairs, confirmed that the histologic landscape of the tumors of origin is preserved in the derivative PDTX models. Samples were grouped by patient and anatomical site, and pairwise Pearson correlations of global protein abundance profiles were computed within each group. The mean within-lineage correlation was high (typically >0.8), and correlation heatmaps showed tight clustering across PDTX generations from the same lineage. Across all patients, the only pathways consistently and significantly downregulated in PDTX models compared with the original tumors were the ECM-receptor interaction and Complement and Coagulation Cascade pathways. When analyzing metastatic PDTX samples, we compared liver and lymph node metastases with their corresponding primary patient tumors across PDTX generations. In lymph node metastases, proteins involved in ECM-receptor interaction and EMT pathways were upregulated. In contrast, liver metastases showed upregulation of fatty acid metabolism and peroxisome proliferator-activated receptor signaling pathways, with downregulation of EMT, ECM-receptor interaction, E2F targets, and G2M checkpoint. These findings demonstrate that the proteomic identity of SCLC tumors is largely preserved during serial passaging in PDTX models, while site-specific adaptations emerge in distinct metastatic microenvironments. Citation Format: Sára Surguta, Laura Svajda, Zsolt Megyesfalvi, Bence Ferencz, Ildikó Kovács, Vivien Téglás, Lilla Horváth, Szilvia Török, Balázs Döme, Melinda Rezeli, Jozsef Tovari. Proteomic insights into metastatic small cell lung cancer using patient derived xenograft models [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 2108.

Cancer ResearchVol. 86(7_Supplement)
Printnet (Hungary) (HU), National Institute of Oncology (HU), SpectraCure (Sweden) (SE), Országos Korányi Tbc és Pulmonológiai Intézet (HU)
Good health and well-being
Openalex Percentile: Top 9%
Lung Cancer Research Studies
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.