Abstract A01: Novel childhood genitourinary manifestations of <i>DICER1</i> syndrome
Notice bibliographique
Résumé
Abstract Pathogenic germline variants in DICER1, a gene encoding an RNase key in microRNA-mediated silencing, cause DICER1 syndrome. This genetic disorder predisposes to the development of a wide array of mainly childhood-onset conditions including genitourinary tumors such as cystic nephroma (CN), anaplastic sarcoma of the kidney, Wilms’ tumor (WT), Sertoli-Leydig cell tumor (SLCT), and cervical embryonal rhabdomyosarcoma (ERMS). As the spectrum of clinical manifestations is not yet fully defined, we sought to explore the involvement of DICER1 mutations in pediatric genitourinary lesions not previously well studied. A series of 31 formalin-fixed, paraffin-embedded tumor samples including 15 paratesticular ERMS (ptERMS), one unclassifiable ovarian sex cord-stromal tumor, one fallopian tube ERMS (ftERMS), six cystic partially differentiated nephroblastomas (CPDN), two cystic WT, two CN, and four rare renal lesions were collected. Median age at diagnosis was 4 years. Tumor DNA was screened for DICER1 variants using Sanger sequencing or a Fluidigm array. Sanger sequencing on tumor DNA was used to validate the variants, and on normal DNA, to determine the germline status. Seven samples harbored biallelic DICER1 mutations and in 6/7 cases, the loss-of-function variant was confirmed to be of germline origin. The paratesticular tumors were initially diagnosed as ERMS, but pathology review reclassified one as an ectomesenchymoma and another as an undifferentiated low-grade myxoid sarcoma. No DICER1 mutation was identified in any of the ptERMS, but the myxoid sarcoma had DICER1 mutations. Interestingly, the patient with the paratesticular myxoid sarcoma also developed a CN. We identified DICER1 mutations in a tumor originally classified as an ovarian WT. Subsequent pathologic evaluation of the lesion led to its reclassification as a retiform SLCT with rhabdomyosarcomatous elements. A typical hotspot and a potential splicing mutation were detected in the ftERMS. Also, two atypical cystic kidney lesions harbored DICER1 mutations: one composed of blastema-type cells expressing nuclear WT1 diagnosed as a CPDN and another unusual multicystic renal lesion considered to be a CN that had moved into a proliferative phase but lacked blastema and anaplastic foci. The patient with the latter renal lesion had previously developed a unilateral CN with a distinct hotspot mutation. As expected, the two classical CN had DICER1 mutations. Based on these results, patients diagnosed with rare genitourinary tumors (except for ptERMS), may have DICER1 syndrome, especially if these individuals have a personal or family history of DICER1-associated lesions. In these cases, surveillance for DICER1-related conditions is advised given that the risk of tumor development is highest in early childhood. In summary, specialist pathology review and DICER1 testing in this setting will lead to improved diagnosis with potential implications for clinical care. Citation Format: Maria V. Apellaniz-Ruiz, Catherine Goudie, Noelle Cullinan, Elvis T. Valera, Krisztina Z. Hanley, Luiz G. Tone, Paula Marrano, Ronald Grant, W. Glenn McCluggage, Gordan M. Vujanic, Paul S. Thorner, William D. Foulkes. Novel childhood genitourinary manifestations of DICER1 syndrome [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr A01.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».