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Formalin-fixed, paraffin-embedded (FFPE) tumor tissue is the standard in pathology due to logistical and quality constraints of fresh-frozen samples. Although whole-genome sequencing (WGS) offers diagnostic promise, its validity and utility in FFPE samples remain underexplored. This study bridges the gap by comparing FFPE-derived tumor WGS with next-generation sequencing results from FoundationOneCDx (F1CDx) and a melanoma-specific panel (MelArray) in 78 metastatic melanoma samples from the Swiss Tumor Profiler Study. A diagnostic pipeline was developed for quality control, variant annotation, and clinical actionability using public and commercial databases. FFPE-derived WGS displayed robust analytical validity, detecting 95% of somatic single nucleotide variants, 98% of multi-nucleotide variants, 90% of insertions/deletions, 76% of amplifications, and 96% of homozygous deletions identified by F1CDx. Tumor mutational burden strongly correlated with F1CDx (R Z 0.98), particularly at the clinical threshold of >= 10 mutations per megabase, crucial for treatment decisions. WGS detected complex biomarkers such as UV-associated mutational signatures and genome-wide copy number alterations, aiding melanoma subtype distinction. Clinically, WGS suggested treatments or trials for all cases, identifying additional markers in 38% and 71% compared with F1CDx and MelArray, respectively. Novel therapeutic opportunities were found in 18% and 56% of cases. FFPE-derived WGS closely matches targeted panels in performance while providing comprehensive insights, enhancing therapeutic options. With decreasing costs, WGS could become a powerful routine diagnostic tool. (J Mol Diagn 2025, 27: 722-735; https://doi.org/10.1016/j.jmoldx.2025.04.011)
Integrating Formalin-Fixed, Paraffin-Embedded–Derived Whole-Genome Sequencing into Routine Molecular Pathology
Litchfield, Cassandra;Nienhold, Ronny;Wicki, Andreas;Schmid, Michael;Aguilera-Garcia, Domingo;Koelzer, Viktor Hendrik;Aebersold, Rudolf;Ak, Melike;Al-Quaddoomi, Faisal S.;Albert, Silvana I.;Albinus, Jonas;Alborelli, Ilaria;Andani, Sonali;Attinger, Per-Olof;Bacac, Marina;Baciu-Drăgan, Monica-Andreea;Baumhoer, Daniel;Beck-Schimmer, Beatrice;Beerenwinkel, Niko;Beisel, Christian;Bernasconi, Lara;Bertolini, Anne;Bodenmiller, Bernd;Bonilla, Ximena;Bosshard, Lars;Calgua, Byron;Casanova, Ruben;Chevrier, Stéphane;Chicherova, Natalia;Coelho, Ricardo;D'Costa, Maya;Danenberg, Esther;Davidson, Natalie R.;Dummer, Reinhard;Engler, Stefanie;Erkens, Martin;Eschbach, Katja;Esposito, Cinzia;Fedier, André;Ferreira, Pedro F.;Ficek-Pascual, Joanna;Frei, Anja L.;Frey, Bruno;Goetze, Sandra;Grob, Linda;Gut, Gabriele;Günther, Detlef;Haeuptle, Pirmin;Heinzelmann-Schwarz, Viola;Herter, Sylvia;Holtackers, Rene;Huesser, Tamara;Immer, Alexander;Irmisch, Anja;Jacob, Francis;Jacobs, Andrea;Jaeger, Tim M.;James, Alva R.;Jermann, Philip M.;Kahles, André;Kahraman, Abdullah;Koelzer, Viktor H.;Kuebler, Werner;Kuipers, Jack;Kunze, Christian P.;Kurzeder, Christian;Lehmann, Kjong-Van;Levesque, Mitchell;Lischetti, Ulrike;Lombardo, Flavio C.;Lugert, Sebastian;Maass, Gerd;Manz, Markus G.;Markolin, Philipp;Mehnert, Martin;Mena, Julien;Metzler, Julian M.;Miglino, Nicola;Milani, Emanuela S.;Moch, Holger;Muenst, Simone;Murri, Riccardo;Ng, Charlotte;Nicolet, Stefan;Nowak, Marta;Lopéz, Monica Nunez;Pedrioli, Patrick G. A.;Pelkmans, Lucas;Piscuoglio, Salvatore;Prummer, Michael;Prélot, Laurie;Rimmer, Natalie;Ritter, Mathilde;Rommel, Christian;Rosano-González, María L.;Rätsch, Gunnar;Santacroce, Natascha;Sarabia del Castillo, Jacobo;Schlenker, Ramona;Schwalie, Petra C.;Schwan, Severin;Schär, Tobias;Senti, Gabriela;Shao, Wenguang;Singer, Franziska;Sivapatham, Sujana;Snijder, Berend;Sobottka, Bettina;Sreedharan, Vipin T.;Stark, Stefan;Stekhoven, Daniel J.;Tanna, Tanmay;Theocharides, Alexandre P. A.;Thomas, Tinu M.;Tolnay, Markus;Tosevski, Vinko;Toussaint, Nora C.;Tuncel, Mustafa A.;Tusup, Marina;Van Drogen, Audrey;Vetter, Marcus;Vlajnic, Tatjana;Weber, Sandra;Weber, Walter P.;Wegmann, Rebekka;Weller, Michael;Wendt, Fabian;Wey, Norbert;Wicki, Andreas;Wildschut, Mattheus H. E.;Wollscheid, Bernd;Yu, Shuqing;Ziegler, Johanna;Zimmermann, Marc;Zoche, Martin;Zuend, Gregor;Rüschoff, Jan Hendrik;Zoche, Martin;Moch, Holger;Sobottka, Bettina
2025-01-01
Abstract
Formalin-fixed, paraffin-embedded (FFPE) tumor tissue is the standard in pathology due to logistical and quality constraints of fresh-frozen samples. Although whole-genome sequencing (WGS) offers diagnostic promise, its validity and utility in FFPE samples remain underexplored. This study bridges the gap by comparing FFPE-derived tumor WGS with next-generation sequencing results from FoundationOneCDx (F1CDx) and a melanoma-specific panel (MelArray) in 78 metastatic melanoma samples from the Swiss Tumor Profiler Study. A diagnostic pipeline was developed for quality control, variant annotation, and clinical actionability using public and commercial databases. FFPE-derived WGS displayed robust analytical validity, detecting 95% of somatic single nucleotide variants, 98% of multi-nucleotide variants, 90% of insertions/deletions, 76% of amplifications, and 96% of homozygous deletions identified by F1CDx. Tumor mutational burden strongly correlated with F1CDx (R Z 0.98), particularly at the clinical threshold of >= 10 mutations per megabase, crucial for treatment decisions. WGS detected complex biomarkers such as UV-associated mutational signatures and genome-wide copy number alterations, aiding melanoma subtype distinction. Clinically, WGS suggested treatments or trials for all cases, identifying additional markers in 38% and 71% compared with F1CDx and MelArray, respectively. Novel therapeutic opportunities were found in 18% and 56% of cases. FFPE-derived WGS closely matches targeted panels in performance while providing comprehensive insights, enhancing therapeutic options. With decreasing costs, WGS could become a powerful routine diagnostic tool. (J Mol Diagn 2025, 27: 722-735; https://doi.org/10.1016/j.jmoldx.2025.04.011)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/106006
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.