MedUni Vienna: Different subtypes defined in small cell lung cancer

Small cell lung cancer (SCLC) is a malignant disease associated with a particularly high mortality rate. According to a new multicenter study led by MedUni Vienna and conducted in collaboration with researchers from the Czech Republic, Hungary, Slovenia, Sweden and the United States, SCLC can be divided into several subgroups in terms of clinical behaviour. These subtypes respond differently to chemotherapeutics and targeted drugs. This opens up possibilities for personalized treatment for this type of cancer as well.

SCLC is a particularly aggressive cancer that typically occurs in smokers, exhibiting rapid growth and a high propensity for metastasis. Recent studies suggest that SCLC may be differentiated into specific molecular subtypes. However, due to the significant lack of tumour material and the problem of tumour heterogeneity, this information could not be effectively validated in a clinical setting.

This new research project has now examined 386 Central European cases, one of the largest cohorts of surgically treated patients to date. The results confirmed that differential expression of ASCL1, NEUROD1, and POU2F3 proteins in tumour tissue defines biologically distinct SCLC subtypes that also have different disease outcomes in surgically resected individuals.

Personalized approach to treatment and follow-up

"In contrast to the increasingly personalized approaches observed in non-small cell lung cancer, SCLC is still considered to be a homogeneous clinical picture and is treated in a standardized way both in hospitals and laboratories," explains first author Zsolt Megyesfalvi from the Translational Thoracic Oncology Lab at the Medical University of Vienna's Department of Thoracic Surgery. "We are now showing that differential expression of key transcriptional regulators clearly distinguishes five major SCLC subtypes." The results also show that high ASCL1 protein expression is an independent negative prognostic marker, whereas high POU2F3 protein expression is associated with more favourable survival outcomes.

Differential response to therapies

The researchers also comprehensively profiled protein expression using mass spectrometry-based proteomics in SCLC cell lines to assess the therapeutic relevance of each SCLC subtype. Study leader Balazs Döme, Head of the Translational Thoracic Oncology programme at the Medical University of Vienna, commented: "We were able to use experiments with tumour cells to show that the levels of subtype-defining markers also influence the response to various targeted and chemotherapeutic agents in vitro. Notably, high POU2F3 expression, which is associated with better survival, correlated with sensitivity to standard chemotherapeutics. In contrast, high YAP1 protein expression correlated with poor response to chemotherapy. In addition, the abundance of subtype-defining proteins was also associated with the efficacy of certain targeted drugs such as CDK, AURK, and IGF-1R inhibitors."

The study is of great clinical relevance, since it sheds light on the diversity of SCLC and helps to facilitate the implementation of subtype-specific personalized approaches to treatment and follow-up strategies in this disease.

Publication: The Journal of Pathology

Expression patterns and prognostic relevance of subtype-specific transcription factors in surgically resected small cell lung cancer: an international multicenter study;

Zsolt Megyesfalvi, Nandor Barany, Andras Lantos, Zsuzsanna Valko, Orsolya Pipek, Christian Lang, Anna Schwendenwein, Felicitas Oberndorfer, Sandor Paku, Bence Ferencz, Katalin Dezso, Janos Fillinger, Zoltan Lohinai, Judit Moldvay, Gabriella Galffy, Beata Szeitz, Melinda Rezeli, Christopher Rivard, Fred R. Hirsch, Luka Brcic, Helmut Popper, Izidor Kern, Mile Kovacevic, Jozef Skarda, Marcel Mittak, György Marko-Varga, Krisztina Bogos, Ferenc Renyi-Vamos, Mir Alireza Hoda, Thomas Klikovits, Konrad Hötzenecker, Karin Schelch, Viktoria Laszlo, Balazs Dome. Published online on 30 April 2022. doi.org/10.1002/path.5922

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