MétaCan
Menu
Retour à la cohorte
Enregistrement W3048403500 · doi:10.1038/s41431-020-00710-y

Reply to Kratz et al.

2020· letter· en· W3048403500 sur OpenAlexaboutno aff
Thierry Frébourg, Svetlana Bajalica‐Lagercrantz, Carla Oliveíra, Rita Mágenheim, D. Gareth Evans, Marjolijn J. L. Ligtenberg, Rianne Oostenbrink, Rolf H. Sijmons, Emma R. Woodward, Marc Tischkowitz, Eamonn R. Maher, Rosalie E. Ferner, Stefan Aretz, Isabel Spier, Verena Steinke‐Lange, Elke Holinski‐Feder, Evelin Schröck, Claude Houdayer, Chrystelle Colas, P. Wolkenstein, Vincent Bours, Eric Legius, Bruce Poppe, Kathleen Claes, Robin De Putter, Gabriel Capellá, Conxi Lázaro, Judith Balmañà, Manuel R. Teixeira, Emma Tham, Lubiński Jan, Karolina Ertmańska, Béla Melegh, Mateja Krajc, Ana Blatnik, Sirkku Peltonen, Marja Hietala

Notice bibliographique

RevueEuropean Journal of Human Genetics · 2020
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRNA modifications and cancer
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeneticsBiology

Résumé

récupéré en direct d'OpenAlex

We thank Kratz et al. for their constructive comments which are mostly focused on the differences with the guidelines elaborated in the framework of an international consortium coordinated by Canadian and US teams in 2017 [ 1 ]. In medical genetics, the paradigm of cystic fibrosis and CFTR -related disorders has shown that it may be appropriate, not only for health professionals but also for patients, to expand the definition of a syndrome to a wider molecularly based definition, in order to highlight the diversity of phenotypes associated with germline variants. Therefore, we think that it is indeed appropriate to expand the Li–Fraumeni syndrome (LFS) toward to a wider and molecularly based cancer predisposition syndrome, designated heritable TP53- related cancer syndrome. We agree that the recommendation of testing patients presenting only jaw osteosarcoma is so far not supported by published articles but only, as we indicated [ 2 ], on the experience of certain centres. Whereas we considered that it was not justified at the present time to systematically test all children with osteosarcoma (the mutation detection rate being estimated up to 3.8% [ 3 ]), the recurrent identification of germline disease-causing TP53 variants in patients with jaw osteosarcoma, an infrequent location as compared to long bones, lead us to formulate this recommendation. It seems that our colleagues have overinterpreted the statement “Testing for disease-causing TP53 variants should be performed before starting treatment in order to avoid in variant carriers, if possible , radiotherapy and genotoxic chemotherapy and to prioritize surgical treatments.” We fully agree that, in cancer patients carrying disease-causing TP53 variants, the first priority is to effectively treat the tumours but we believe that a multidisciplinary team should discuss the risks of recurrence and subsequent primary tumours before the initiation of treatment and choose the best therapy. For instance, after identification of a germline TP53 disease-causing variant in a young woman with invasive, T1N0 breast cancer mastectomy should be offered instead of breast-conserving surgery followed by radiotherapy. The previously published guidelines [ 1 ] recommend performing (in all germline TP53 variant carriers), a medical follow-up including annual whole-body MRI (WBMRI) and brain MRI starting from the first year of age, independently of the personal and medical history and type of TP53 variant. However, we must now recognize that the global penetrance of germline TP53 variants has been overestimated, likely depending on so far unrecognized modifying factors. More importantly, we must be aware that only a minor fraction of germline TP53 variant carriers worldwide, and in particular in the USA, have currently access to this intensive protocol. In our guideline, we advocate for a stratified strategy, by recommending presymptomatic testing and the intensive protocol in childhood from birth, under the following conditions: “the index case has developed a childhood cancer; or childhood cancers have been observed within the family; or this variant has already been detected in other families with childhood cancers; or this variant corresponds to a dominant-negative missense variant.” However, we also carefully open the door by indicating that testing children in families with only early-onset adult cancers can be considered, but only after careful discussion with the parents in order to address the burden, and uncertain benefits, of surveillance in childhood [ 2 ]. Our colleagues consider that the surveillance interval that we propose in children for the detection of adrenocortical carcinoma is too long, compared to the interval previously recommended (6 vs. 3–4 months). They may be right (especially until the age 5, probably not above the age 10), but we are not aware of studies demonstrating the additional value of performing a follow-up every 3–4 months. All the studies, except one, published so far and reporting the efficiency in TP53 v ariant carriers of WBMRI, in terms of tumour detection rate, have been performed without Gadolinium enhancement, which leads to this recommendation [ 2 ]. In females with germline disease-causing TP53 variants, breast cancer risk increases significantly after the second decade with a peak between 30–44 years and cumulative risk reaches a plateau before 60 [ 4 , 5 , 6 ]. Therefore, we think that it is appropriate to fix an age limit for breast MRI at 65 years. A recent review on brain tumours in TP53 variant carriers has confirmed that brain tumours present a bimodal distribution with the highest peak in young children before 5 years of age and a small peak in adults observed between the third and fourth decades. This supports our proposal to perform brain MRI until 50 years [ 7 ]. Finally, we confirm that the studies, which had suggested that colorectal cancer (CRC) is associated with germline TP53 variants, suffer from certain limitations: the first [ 8 ] reported in a series of 397 patients, from 64 LFS families, 16 cases of CRC (4%). The lifetime risk for CRC is estimated in the general population to 4%. Furthermore, among the patients with CRC, the majority had not been tested themselves but were first- or second-degree relatives of TP53 variant carriers. In a second article [ 9 ], the authors reported in a series of 467 patients with CRC at age 40 years or younger, six germline TP53 variants but examination of these variants, based on the current classification criteria, shows that only two out of the six variants meet criteria for being classified as a class 4 or 5 variant. A third study [ 10 ] reported colorectal tumours in 8 among 93 patients with germline TP53 variants (8.6%), but the authors did not provide data on TP53 variants. As cancer geneticists and oncologists, we highlight that the risk of overloading the medical follow-up in high genetic risk individuals is to alter the compliance of the patients. In conclusion, we do not think that the European guidelines elaborated by the ERN GENTURIS, that have been developed with an active participation of patient representatives [ 2 ], are in opposition to the guidelines previously published [ 1 ]. They instead constitute a stratified version of the previous ones, which may be easier to implement in different countries for patient benefits.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,087
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,048
Score d'incertitude au seuil0,046

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,087
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,006
Communication savante0,0050,010
Science ouverte0,0050,004
Intégrité de la recherche0,0480,074
Charge utile insuffisante (le modèle a refusé de juger)0,0070,009

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.

Tête enseignante Opus0,030
Tête enseignante GPT0,280
Écart entre enseignants0,251 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEuropean Journal of Human GeneticsMême sujetRNA modifications and cancerTravaux en français237 207