2019
DOI: 10.1101/516351
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Neuroendocrine negative SCLC is mostly RB1 WT and may be sensitive to CDK4/6 inhibition

Abstract: Small cell lung cancer (SCLC) is an aggressive form of lung cancer with limited therapeutic options, a very high mortality rate and is characterized, in most cases, by neuroendocrine features. A small but important subset of SCLC has intact RB1. However, other characteristics of this subset are not well-defined. To comprehensively assess the underlying genomics of SCLC cell lines with functional RB1, we examined 48 SCLC cell lines from the Cancer Cell Line Encyclopedia (CCLE) collection. Out of these 48 SCLC c… Show more

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Cited by 10 publications
(20 citation statements)
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“…These subtypes are the neuroendocrine subtypes SCLC-A ( ASCL1 -positive) and SCLC-N ( NEUROD1 -positive) and the non-neuroendocrine subtypes SCLC-P ( POU2F3 -positive) and SCLC-Y ( YAP1 -positive) [ 25 ]. Previous work has demonstrated activity of CDK4/6 inhibitors in RB1 wild-type SCLC cell lines [ 26 , 27 ]. Based on these results, a clinical trial is testing abemaciclib, a CDK4/6 inhibitor, as a single agent in ED-SCLC patients with wild-type RB1 , with platinum refractory disease ( Identifier NCT04010357).…”
Section: Clinical Management Of Sclcmentioning
confidence: 99%
“…These subtypes are the neuroendocrine subtypes SCLC-A ( ASCL1 -positive) and SCLC-N ( NEUROD1 -positive) and the non-neuroendocrine subtypes SCLC-P ( POU2F3 -positive) and SCLC-Y ( YAP1 -positive) [ 25 ]. Previous work has demonstrated activity of CDK4/6 inhibitors in RB1 wild-type SCLC cell lines [ 26 , 27 ]. Based on these results, a clinical trial is testing abemaciclib, a CDK4/6 inhibitor, as a single agent in ED-SCLC patients with wild-type RB1 , with platinum refractory disease ( Identifier NCT04010357).…”
Section: Clinical Management Of Sclcmentioning
confidence: 99%
“…We examined association of log(IC50) of these agents with methylation of individual probes and gene regions of 78 genes representing drug-specific targets and 48 additional genes involved in drug target pathways (Supplementary Table 2). In addition, we analyzed association of methylation of log(IC50) of each of the 44 agents with methylation of individual probes and gene regions of 159 proteincoding genes that included genes with relevance to SCLC lineage determination; SCLC lineage markers; genes that carry frequent mutations or genome alterations in SCLC; genes which are commonly inactivated, overexpressed, or epigenetically modified in SCLC tumors or in specific SCLC subtypes; as well as genes previously reported as being involved in pathways leading to SCLC pathogenesis; or those suggested as being relevant to SCLC response to chemotherapy [3,5,11,13,15,24,[34][35][36][37][38][39]. The list of these genes is provided in the legend to Supplementary Table 2.…”
Section: Association Of Methylation Of Candidate Genes With Selectedmentioning
confidence: 99%
“…The probes cg25627144 and cg18124721 in the TSS200 of the DLL3 (delta-like ligand 3) gene and the entire TSS200 region were associated with the Bcl-2 inhibitor ABT-737 (ρ = 0.5506 and 0.4850, p FDR = 0.0515 and 0.1366 for probes; ρ = 0.4762, p FDR = 0.1260 for TSS200; Table 3, Supplementary Tables 6, 7 and 8), and cg25627144 was also associated with another Bcl-2 inhibitor, ABT-263 (ρ = 0.4926, p FDR = 0.1282; Supplementary Table 7). DLL3, encoding a Notch pathway regulator and a promising clinical target in SCLC treatment, is upregulated in ASCL1-high SCLC tumors; in contrast, DLL3 expression is diminished in RB wild-type tumors and in SCLC tumors not expressing neuroendocrine markers [2,3,39]. Methylation of all DLL3 probes was significantly negatively associated with expression of the DLL3 transcript, NM_016941 (cluster ID 3833122; ρ = − 0.4426, p = 0.0002 for the strongest association).…”
Section: Association Of Methylation Of Probes and Regions In Candidatmentioning
confidence: 99%
“…These distinct gene expression profiles will guide us in designing new clinical trials. Recent advances in using patient-derived xenograft (PDX) models based on biopsy/resected tumors, CTCs, genetically engineered mouse models (GEMM), as well as omics profiling will drastically enhance our capacity to identify and test novel drugs and discover biomarkers for treatment and prognostication [93,149].…”
Section: Future Directionsmentioning
confidence: 99%