@phdthesis{Adam2024, author = {Adam, Pia Sophie}, title = {Expression von PD-L1 und FGFR1-4 beim anaplastischen und gering differenzierten Schilddr{\"u}senkarzinom - Evaluation als pr{\"a}klinische diagnostische Marker}, doi = {10.25972/OPUS-35939}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-359391}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2024}, abstract = {Background: Treatment options for poorly differentiated (PDTC) and anaplastic (ATC) thyroid carcinoma are unsatisfactory and prognosis is generally poor. Lenvatinib (LEN), a multi-tyrosine kinase inhibitor targeting fibroblast growth factor receptors (FGFR) 1-4 is approved for advanced radioiodine refractory thyroid carcinoma, but response to single agent is poor in ATC. Recent reports of combining LEN with PD-1 inhibitor pembrolizumab (PEM) are promising. Materials and methods: Primary ATC (n=93) and PDTC (n=47) tissue samples diagnosed 1997-2019 at five German tertiary care centers were assessed for PD-L1 expression by immunohistochemistry using Tumor Proportion Score (TPS). FGFR 1-4 mRNA was quantified in 31 ATC and 14 PDTC with RNAscope in-situ hybridization. Normal thyroid tissue (NT) and papillary thyroid carcinoma (PTC) served as controls. Disease specific survival (DSS) was the primary outcome variable. Results: PD-L1 TPS≥50\% was observed in 42\% of ATC and 26\% of PDTC specimens. Mean PD-L1 expression was significantly higher in ATC (TPS 30\%) than in PDTC (5\%; p<0.01) and NT (0\%, p<0.001). 53\% of PDTC samples had PD-L1 expression ≤5\%. FGFR mRNA expression was generally low in all samples but combined FGFR1-4 expression was significantly higher in PDTC and ATC compared to NT (each p<0.001). No impact of PD-L1 and FGFR 1-4 expression was observed on DSS. Conclusion: High tumoral expression of PD-L1 in a large proportion of ATCs and a subgroup of PDTCs provides a rationale for immune checkpoint inhibition. FGFR expression is low thyroid tumor cells. The clinically observed synergism of PEM with LEN may be caused by immune modulation.}, subject = {Schilddr{\"u}senkrebs}, language = {de} }