Study
Targeted therapy of advanced parathyroid carcinoma guided by genomic and transcriptomic profiling (hipo 021)
Study ID | Alternative Stable ID | Type |
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EGAS00001006747 | Other |
Study Description
Parathyroid carcinoma (PC) is an orphan malignancy with a high risk of recurrence after surgery. Tumor-directed systemic treatments for PC are not established. We used whole-genome and RNA sequencing in four patients with advanced PC to identify molecular alterations that could guide clinical management. In two cases, the genomic and transcriptomic profiles provided targets for experimental therapies that resulted in biochemical response and prolonged disease stabilization: (i) immune checkpoint inhibition with pembrolizumab based on high tumor mutational burden and a single-base substitution signature associated with APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) overactivation; (ii) multi-receptor tyrosine kinase inhibition with lenvatinib due to overexpression of FGFR1 and RET and, later in the course of disease, PARP inhibition with olaparib prompted by signs of defective homologous recombination DNA repair. In addition, our data provided new insights into the molecular landscape of PC with respect to the genome-wide footprints of specific mutational ... (Show More)
Study Datasets 2 datasets.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00001009730 |
Paired RNA-Seq of four patients with advanced Parathyroid carcinoma (PC). The library was prepared using the Illumina TruSeq stranded mRNA Kit, the sequencing was done either on an Illumina HiSeq 4000 or on Illumina NovaSeq 6000.
|
Illumina HiSeq 4000,Illumina NovaSeq 6000 | 4 |
EGAD00001009731 |
Paired WGS data of four patients with advanced Parathyroid carcinoma (PC). There are tumor/control pairs (buffy coat control). The library was prepared with Illumina TruSeq Nano DNA, the sequencing was done with HiSeq X Ten.
|
HiSeq X Ten | 8 |
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