scholarly journals Characterization of Genomic Alterations in Hepatoblastomas

2000 ◽  
Vol 157 (2) ◽  
pp. 571-578 ◽  
Author(s):  
Ruthild G. Weber ◽  
Torsten Pietsch ◽  
Dietrich von Schweinitz ◽  
Peter Lichter
Keyword(s):  
2014 ◽  
Vol 137 (1) ◽  
pp. 86-95 ◽  
Author(s):  
Juan Cui ◽  
Yanbin Yin ◽  
Qin Ma ◽  
Guoqing Wang ◽  
Victor Olman ◽  
...  

2019 ◽  
Vol 14 (10) ◽  
pp. S212-S213
Author(s):  
L. Wu ◽  
L. Cao ◽  
L. Chen ◽  
B. Zhu ◽  
X. Hu ◽  
...  

Human Cell ◽  
2020 ◽  
Vol 33 (3) ◽  
pp. 868-876 ◽  
Author(s):  
Fumio Kasai ◽  
Hiroya Asou ◽  
Midori Ozawa ◽  
Kazuhiko Kobayashi ◽  
Hiroyuki Kuramitsu ◽  
...  

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e24276-e24276
Author(s):  
Qi Ling ◽  
Pingzhou Yang ◽  
Xiaofeng Tang ◽  
Defei Hong ◽  
Linlin Qu ◽  
...  

2006 ◽  
Vol 6 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Xiaofeng Zhou ◽  
Tianwei Yu ◽  
Steven W Cole ◽  
David TW Wong
Keyword(s):  

2018 ◽  
Vol 140 (3) ◽  
pp. 509-517 ◽  
Author(s):  
Soheil Zorofchian ◽  
Hanadi El-Achi ◽  
Yuanqing Yan ◽  
Yoshua Esquenazi ◽  
Leomar Y. Ballester

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 8579-8579
Author(s):  
Fatemeh Ardeshir-Larijani ◽  
Milan Radovich ◽  
Bryan P. Schneider ◽  
Patrick J. Loehrer

8579 Background: Thymic epithelial tumors (TET) are one of the rarest adult malignancies. Overall, patients have favorable survival outcomes, however a small subset develop metastatic disease. Genomic characterization of this very rare, clinically aggressive TET subset is lacking. Herein, we evaluated the clinical and genomic characteristics of metastatic TET (mTET) compared to a large cohort (n = 117) of primary TET (pTET) from The Cancer Genome Atlas (TCGA). Methods: From 2015 to 2020, 52 pts with mTET underwent clinical CLIA-based sequencing using either whole-exome (n = 35), panel-based testing (n = 13) and/or liquid biopsy (n = 22). The specimen was taken from a metastatic organ (n = 34) or relapsed primary mediastinal mass (n = 14); 4 pts had liquid bx only. Data on pTET was derived from the TCGA. Kaplan-Meier and log-rank test was used for assessment of PFS, OS. Results: The median age was 56 yrs in mTET (range 32-74) vs. 60 yrs (range 17-84) in TCGA data. The M/F (%) was 40/60 in mTET and 48/52 in TCGA, respectively. Of note, 13 mTET pts had other types of cancer prior or concurrent with TET diagnosis (4-breast, 2-bladder, 5-other) in which radiotherapy (n = 4) and/or chemotherapy (n = 3) was administered prior to TET diagnosis. In our cohort, 19 pts had stage IVA and 33 pts had stage IVB (most common metastatic site was liver in 17 pts). WHO histologic classification was: A = 1, A/B = 3, B1 = 4, B2 = 10, B3 = 12, TC = 18, TC with neuroendocrine feature = 3, and lymphoepithelial carcinoma = 1. WHO B3 and TC histologies were more common in our cohort of mTET than in the TCGA cohort (63% (33/52) vs. 17% (20/117), respectively). Pts with TC had worse mOS compare to thymoma (109m vs. 163m, HR = 2.78, P = 0.04). The most common genomic alteration in mTET was TP53 (n = 17, 33%) compared to 3% in TCGA. This was followed by CDKN2A (n = 5, 10%), PIK3CA (n = 4, 8%), CDKN2B (n = 3, 6%) and NF1 (n = 3, 6%). All TP53 missense mut functionality was analyzed with polyphen-2 software and 91.6% (22/24) had 98-100% damaging probability. 70% of pts that harbored TP53 muts were TC (41%) or B3 (29%) histology. Clinically actionable genomic alterations targetable with available or investigational agents (e.g. high TMB; gain-of-function mutations in PIK3CA, CDK4, and mTOR; loss-of-function mutations in NF1) were seen in 23% (12/52) of pts. Conclusions: Patients with mTET are associated with more aggressive WHO histology (B3 and TC). Greater frequency of TP53 mutations are observed in mTET compared to pTET. Clinically actionable genomic alterations are frequently seen in mTET suggesting value in the routine sequencing of these patients.


2015 ◽  
Vol 33 (7_suppl) ◽  
pp. 433-433 ◽  
Author(s):  
Sumanta Kumar Pal ◽  
Siraj M. Ali ◽  
Zachary Chalmers ◽  
Jose A. Karam ◽  
Julia Andrea Elvin ◽  
...  

433 Background: Despite the availability of targeted therapy, effective management of advanced RCC is an unmet medical need as treatment is not personalized and is not guided by patient-specific genomic alterations (GAs). To assess the spectrum of clinically relevant GAs (CRGAs) in advanced RCC, comprehensive genomic profiling (CGP) of clinical RCC samples was performed with the goal of informing use of existing and novel targeted therapies. Methods: DNA was extracted from 40 microns of FFPE sections from 443 consecutive patients with relapsed/metastatic RCC. CGP was performed on hybridization-captured, adaptor ligation based libraries to a mean coverage depth of 646X for 3,230 exons of 182 cancer-related genes plus 37 introns from 14 genes frequently rearranged in cancer. The CGP assay included base substitutions (SUB), INDELs, copy number alterations (CNA) and fusions/rearrangements. CRGA were defined as GA linked to drugs on the market or under evaluation in mechanism driven clinical trials. Results: There were 73% male and 27% female patients with a mean age of 56 years, and the majority of cases were advanced stage with 198/443 specimens (44.6%) from metastatic sites. 400/443 patients (89%) had at least 1 GA on CGP with a mean 3.1 GA/case. 396/400 RCC harboring GA had at least 1 CRGA involving 111 individual genes with a mean of 1.32 CRGA/UC. The most common novel CRGA in order of frequency were: CDKN2A (21%), BAP1 (12%), ATM (11%), PTEN(8.5%), TSC1(8.3%), mTOR (7%), MET (6.5%), AR (5.3%), DNMT3A (5%) and TSC2 (5%). Moreover, VHL harbored a diversity of GA’s in in 49% of cases. Collecting duct carcinomas harbored an enrichment of NF2 truncating alterations (>40%), distinct from renal medullary carcinoma which did not harbor such GA. Multiple clinical antitumor responses to targeted therapies will be presented. Conclusions: Using a CGP assay capable of detecting all classes of GA simultaneously, a high frequency of CRGA was identified in a large series of patients with advanced RCC. The diversity of CRGA suggests opportunities for the rational application of existing and investigational targeted therapies, and for possible deeper characterization of histological types of RCC.


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