ESMO Open · 2021 · 15 citations · 39 references
Life SciencesGeneticsOncologyCancer GeneticsMolecular OncologyNeoplasiaCancer TranscriptomicsMalignant NeoplasmsMolecular Classification Of TumorsMolecular Tumor ProfilingTumor ClassificationTumor Suppressor GenesComparative Cancer Gene Expression ProfilesLarge Cell Neuroendocrine CarcinomaNon-small Cell Lung Cancer TherapyNon-small Cell Lung Cancer TreatmentProgrammed Cell Death PathwaysSmall Cell Lung Cancer TherapySmall Cell Lung Cancer TreatmentTranscriptomic Profiles
BACKGROUND: Combined small-cell lung cancer (C-SCLC) is composed of SCLC admixed with a non-small-cell cancer component. They currently receive the same treatment as SCLC. The recent evidence that SCLC may belong to either of two lineages, neuroendocrine (NE) or non-NE, with different vulnerability to specific cell death pathways such as ferroptosis, opens new therapeutic opportunities also for C-SCLC. MATERIALS AND METHODS: Thirteen C-SCLCs, including five with adenocarcinoma (CoADC), five with large-cell neuroendocrine carcinoma (CoLCNEC) and three with squamous cell carcinoma (CoSQC) components, were assessed for alterations in 409 genes and transcriptomic profiling of 20 815 genes. RESULTS: All 13 cases harbored TP53 (12 cases) and/or RB1 (7 cases) inactivation, which was accompanied by mutated KRAS in 4 and PTEN in 3 cases. Potentially targetable alterations included two KRAS G12C, two PIK3CA and one EGFR mutations. Comparison of C-SCLC transcriptomes with those of 57 pure histology lung cancers (17 ADCs, 20 SQCs, 11 LCNECs, 9 SCLCs) showed that CoLCNEC and CoADC constituted a standalone group of NE tumors, while CoSQC transcriptional setup was overlapping that of pure SQC. Using transcriptional signatures of NE versus non-NE SCLC as classifier, CoLCNEC was clearly NE while CoSQC was strongly non-NE and CoADC exhibited a heterogeneous phenotype. Similarly, using ferroptosis sensitivity/resistance markers, CoSQC was classified as sensitive (as expected for non-NE), CoLCNEC as resistant (as expected for NE) and CoADC showed a heterogeneous pattern. CONCLUSIONS: These data support routine molecular profiling of C-SCLC to search for targetable driver alterations and to precisely classify them according to therapeutically relevant subgroups (e.g. NE versus non-NE).
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Molecular signatures database (MSigDB) 3.0
Arthur Liberzon, Aravind Subramanian, Reid M. Pinchback et al. · Bioinformatics · 2011 · 7.7K citations · Full text