Incidental Detection of TFEB -Amplified Renal Cell Carcinoma by Colocated Gene Amplification of CCND3 (6p21): A Case Report and Review of the Literature.
Federico RepettoDeepika SirohiPatricia T GreippJonathon MahlowPublished in: International journal of surgical pathology (2023)
TFEB -amplified renal cell carcinoma (RCC), which belongs to the MITF family of RCC, is characterized by genomic amplification at the 6p21.1 locus where the TFEB gene is located. The vascular endothelial growth factor A and cyclin D3 genes are also located at this same locus. When tumors lack classic morphologic features, they may be classified as "RCC not otherwise specified (NOS)." However, it is increasingly important to accurately diagnose the RCC subtype to define the patient's individual prognosis and select the subsequent therapeutic modalities, which now include targeted agents. Therefore, knowledge of the diagnostic features of TFEB -altered RCCs, such as t(6;11) RCCs and TFEB -amplified RCCs, is critical for identifying these tumors. Herein, we present an interesting case of TFEB -amplified RCC that was initially diagnosed as RCC NOS on biopsy of a renal tumor in a community practice setting with available molecular findings demonstrating CCND3 amplification. The genetic abnormality was "accidentally" detected due to the amplification of the colocated CCND3 gene at the 6p21 locus of the TFEB gene on a limited genetic sequencing panel. This case highlights the importance of molecular tests in accurately diagnosing RCC and carefully interpreting molecular findings in the context of histomorphologic features.
Keyphrases
- renal cell carcinoma
- genome wide
- copy number
- vascular endothelial growth factor
- genome wide identification
- nucleic acid
- healthcare
- dna methylation
- label free
- mental health
- primary care
- case report
- nitric oxide synthase
- gene expression
- transcription factor
- single cell
- nitric oxide
- signaling pathway
- ultrasound guided
- genome wide association study
- cell proliferation
- bioinformatics analysis