Transcriptomic Differences in Medullary Thyroid Carcinoma According to Grade.
Ignacio Ruz-CaracuelTamara Caniego-CasasTeresa Alonso-GordoaIrene Carretero-BarrioCarmen Ariño-PalaoAlmudena SantónMarta RosasHéctor PianJavier Molina-CerrilloPatricia LuengoJosé PalaciosPublished in: Endocrine pathology (2024)
Medullary thyroid carcinoma (MTC) is a rare cancer derived from neuroendocrine C-cells of the thyroid. In contrast to other neuroendocrine tumors, a histological grading system was lacking until recently. A novel two-tier grading system based on the presence of high proliferation or necrosis is associated with prognosis. Transcriptomic analysis was conducted on 21 MTCs, including 9 high-grade tumors, with known mutational status, using the NanoString Tumor Signaling 360 Panel. This analysis, covering 760 genes, revealed upregulation of the genes EGLN3, EXO1, UBE2T, UBE2C, FOXM1, CENPA, DLL3, CCNA2, SOX2, KIF23, and CDCA5 in high-grade MTCs. Major pathways differentially expressed between high-grade and low-grade MTCs were DNA damage repair, p53 signaling, cell cycle, apoptosis, and Myc signaling. Validation through qRT-PCR in 30 MTCs demonstrated upregulation of ASCL1, DLL3, and SOX2 in high-grade MTCs, a gene signature akin to small-cell lung carcinoma, molecular subgroup A. Subsequently, DLL3 expression was validated by immunohistochemistry. MTCs with DLL3 overexpression (defined as ≥ 50% of positive tumor cells) were associated with significantly lower disease-free survival (p = 0.041) and overall survival (p = 0.01). Moreover, MTCs with desmoplasia had a significantly increased expression of DLL3. Our data supports the idea that DLL3 should be further explored as a predictor of aggressive disease and poor outcomes in MTC.
Keyphrases
- high grade
- low grade
- poor prognosis
- cell cycle
- free survival
- cell proliferation
- transcription factor
- dna damage
- single cell
- genome wide
- cell cycle arrest
- neuroendocrine tumors
- genome wide identification
- oxidative stress
- signaling pathway
- stem cells
- cell death
- induced apoptosis
- long non coding rna
- binding protein
- magnetic resonance
- clinical trial
- endoplasmic reticulum stress
- electronic health record
- magnetic resonance imaging
- dna methylation
- genome wide analysis
- type diabetes
- bioinformatics analysis
- big data
- randomized controlled trial
- lymph node metastasis
- contrast enhanced
- double blind