scholarly journals Comprehensive Genomic Profiling of Neuroendocrine Carcinomas of the Gastrointestinal System

2021 ◽  
pp. candisc.0669.2021
Author(s):  
Shinichi Yachida ◽  
Yasushi Totoki ◽  
Michael Noe ◽  
Yoichiro Nakatani ◽  
Masafumi Horie ◽  
...  
2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 1575-1575
Author(s):  
Lin Wu ◽  
Liming Cao ◽  
Likun Chen ◽  
Bo Zhu ◽  
Xiaohua HU ◽  
...  

1575 Background: LCNEC and SCLC are aggressive neuroendocrine carcinomas with overlap in clinical, histopathologic, morphologic and genomic features. Differential molecular features between the two subtypes have not been well elucidated, contributing the uncertainty for optimal clinical strategy for each subtype. Here we interrogated the genomic characteristics in LCNEC as compared to SCLC along with their histologically related subtypes: carcinoids and atypical carcinoids via comprehensive genomic profiling. Methods: FFPE samples from 31 LCNECs, 35 SCLCs, 14 carcinoids and 22 atypical carcinoids were sequenced in a CLIA-certified sequencing laboratory using 520-cancer-related gene panel, with an average sequencing depth of 1385×. Results: Comparative mutational analysis revealed that both LCNEC and SCLC sub-cohorts displayed higher rate of TP53 alterations than that of carcinoid (p < 0.001, p < 0.001). SCLC patients harbored more RB1 and PIK3CA mutations than LCNECs (p < 0.001, p = 0.014) and carcinoids (p < 0.001, p = 0.018). In addition, mutation frequencies of LRP1B, FAT1, PRKDC, NOTCH1, SPTA1, EPHA3 and KEAP1 in SCLC were significantly higher than that in carcinoid. Mutations in TP53 and RB1 occurred concurrently in 83% (29/35) SCLC patients, whereas in only 32.3% (10/31) LCNECs. We further investigated the distribution of mutations across KEGG pathways and found that mutation frequencies in both HIF-1 and Notch signaling pathways were lower in LCNEC than SCLC (p = 0.032, p = 0.025). Copy number variation (CNV) analysis revealed that LCNEC and SCLC had comparable CNVs which were significantly higher than carcinoid (p < 0.001, p < 0.001) and atypical carcinoid (p = 0.010, p = 0.028). TMB analysis also revealed a comparable TMB status of LCNEC (12.7/Mb) and SCLC (11.9/Mb), and relatively lower TMB in both carcinoid (2.4/Mb, p < 0.001, p < 0.001) and atypical carcinoid (5.6/Mb, p = 0.003, p = 0.009) than LCNEC and SCLC. Conclusions: We demonstrated the differential genomic characteristics in the four subtypes of neuroendocrine carcinomas. Compared with SCLC, LCNEC has lower mutation frequencies in RB1, PIK3CA, as well as HIF-1 and Notch signaling pathways. In addition, LCNEC and SCLC had comparable CNV and TMB status, which significantly higher than that of carcinoids and atypical carcinoid.


2016 ◽  
Vol 9 (1) ◽  
pp. 112-118 ◽  
Author(s):  
Siraj M. Ali ◽  
Jessica Watson ◽  
Kai Wang ◽  
Jon H. Chung ◽  
Caitlin McMahon ◽  
...  

After failure of anthracycline- and platinum-based therapy, no effective therapies exist for management of metastatic triple-negative breast cancer (TNBC). We report a case of metastatic TNBC harboring MCL1 amplification, as identified by comprehensive genomic profiling in the course of clinical care. MCL1 is an antiapoptotic gene in the BCL2 family, and MCL1 amplification is common in TNBC (at least 20%). A personalized dose-reduced regimen centered on a combination of sorafenib and vorinostat was implemented, based on preclinical evidence demonstrating treatment synergy in the setting of MCL1 amplification. Although hospice care was being considered before treatment initiation, the personalized regimen yielded 6 additional months of life for this patient. Further rigorous studies are needed to confirm that this regimen or derivatives thereof can benefit the MCL1-amplified subset of TNBC patients.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 609
Author(s):  
Caterina Fumagalli ◽  
Elena Guerini-Rocco ◽  
Massimo Barberis

Personalized cancer therapy matches the plan of treatment with specific molecular alterations [...]


2021 ◽  
Vol 24 ◽  
pp. S44-S45
Author(s):  
W. Lee ◽  
J. Grueger ◽  
S. Spencer ◽  
D.L. Veenstra ◽  
J. Carlson

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Jianling Ji ◽  
Kristiyana Kaneva ◽  
Matthew C Hiemenz ◽  
Girish Dhall ◽  
Tom Belle Davidson ◽  
...  

Abstract Background Recent large-scale genomic studies have revealed a spectrum of genetic variants associated with specific subtypes of central nervous system (CNS) tumors. The aim of this study was to determine the clinical utility of comprehensive genomic profiling of pediatric, adolescent and young adult (AYA) CNS tumors in a prospective setting, including detection of DNA sequence variants, gene fusions, copy number alterations (CNAs), and loss of heterozygosity. Methods OncoKids, a comprehensive DNA- and RNA-based next-generation sequencing (NGS) panel, in conjunction with chromosomal microarray analysis (CMA) was employed to detect diagnostic, prognostic, and therapeutic markers. NGS was performed on 222 specimens from 212 patients. Clinical CMA data were analyzed in parallel for 66% (146/222) of cases. Results NGS demonstrated clinically significant alterations in 66% (147/222) of cases. Diagnostic markers were identified in 62% (138/222) of cases. Prognostic information and targetable genomic alterations were identified in 22% (49/222) and 18% (41/222) of cases, respectively. Diagnostic or prognostic CNAs were revealed by CMA in 69% (101/146) of cases. Importantly, clinically significant CNAs were detected in 57% (34/60) of cases with noncontributory NGS results. Germline cancer predisposition testing was indicated for 27% (57/212) of patients. Follow-up germline testing was performed for 20 patients which confirmed a germline pathogenic/likely pathogenic variant in 9 cases: TP53 (2), NF1 (2), SMARCB1 (1), NF2 (1), MSH6 (1), PMS2 (1), and a patient with 47,XXY Klinefelter syndrome. Conclusions Our results demonstrate the significant clinical utility of integrating genomic profiling into routine clinical testing for pediatric and AYA patients with CNS tumors.


2018 ◽  
Vol 73 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Sumanta K. Pal ◽  
Siraj M. Ali ◽  
Evgeny Yakirevich ◽  
Daniel M. Geynisman ◽  
Jose A. Karam ◽  
...  

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