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Enregistrement W3011291835 · doi:10.1111/jsap.13128

Canine T‐zone lymphoma: an apparent risk factor for adult‐onset demodicosis

2020· letter· en· W3011291835 sur OpenAlexaboutno aff
Louis Philippe De Lorimier, O. Campbell

Notice bibliographique

RevueJournal of Small Animal Practice · 2020
Typeletter
Langueen
DomaineVeterinary
ThématiqueInfectious Diseases and Mycology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineDemodicosisPrednisoneDermatologyPopulationEpidemiologyVincristineLymphomaOncologyInternal medicineChemotherapyCyclophosphamide

Résumé

récupéré en direct d'OpenAlex

We read with interest the recent publication on canine demodicosis by O'Neill et al. (2020). The main objective of the study was to explore epidemiological features of juvenile and adult-onset canine demodicosis in dogs from the UK. Because of our inherent bias as medical oncologists, we could not help but notice one potential risk factor for adult-onset demodicosis that was apparently not detected in the studied population. This letter aims to propose a constructive discussion on this potential risk factor, more prevalent in certain canine breeds, that was not documented in this recent publication. Nodal peripheral T-zone lymphoma (TZL), also referred to as small clear cell lymphoma, is a low grade, indolent lymphoid malignancy that has long been recognised in people and was described in dogs more than 15 years ago (Nakamura & Suchi 1991, Fournel-Fleury et al. 2002, Valli et al. 2005). Compared with large cell (high grade) lymphomas, the reported survival times are much longer, ranging from 622 to >1000 days, with an oral chemotherapy protocol of chlorambucil and prednisone providing better results than the multiagent protocols commonly used for more aggressive lymphomas, including protocol combining of cyclophosphamide, doxorubicin, vincristine and prednisone (Valli et al. 2005, Flood-Knapik et al. 2013, Valli et al. 2013, Seelig et al. 2014, Martini et al. 2016, Mizutani et al. 2016). Not all dogs are treated at diagnosis, owing to the indolent nature, but treatment is recommended when certain criteria are met; there is no consensus, but it may include the presence of clinical signs, visceral involvement, and/or lymphocytosis above 30,000/uL, to name a few. Golden retrievers appear to be overrepresented in many studies, and it was recently demonstrated that senior golden retrievers without a diagnosis of TZL have an increased frequency of circulating T-zone cells (CD45 negative) when compared to other breeds (Flood-Knapik et al. 2013, Seelig et al. 2014, Mizutani et al. 2016, Hughes et al. 2018). Other commonly reported breeds with TZL include the shih-tzu, Labrador retriever, boxer and terrier breeds, but dogs of any breed may be affected (Valli et al. 2005, Flood-Knapik et al. 2013, Seelig et al. 2014, Martini et al. 2016, Mizutani et al. 2016). On clinical presentation, dogs have enlarged and firm peripheral lymph nodes and, occasionally, non-specific clinical signs that may include lethargy, dyspnoea from enlarged lymph nodes, decreased appetite, or other non-specific signs (Martini et al. 2016, Mizutani et al. 2016). Complete blood cell count commonly (>50% dogs) demonstrates mild to marked lymphocytosis in dogs with TZL, and the circulating lymphocytes are also T-zone cells (Flood-Knapik et al. 2013, Seelig et al. 2014, Martini et al. 2016, Mizutani et al. 2016, Hughes et al. 2018). On cytology the neoplastic cell population is composed of small to intermediate lymphocytes, with a clear cytoplasm that often forms a pseudopod (“hand mirror” morphology), while histopathology and immunohistochemistry confirms a paracortical expansion of small cleaved T lymphocytes, with a very low mitotic count, often with no mitosis observed (Fournel-Fleury et al. 2002, Valli et al. 2005). Other tests that are helpful to diagnose TZL include polymerase chain reaction for antigen receptor rearrangement (PARR, clonality testing) and flow cytometry (Valli et al. 2005,Seelig et al. 2014, Martini et al. 2016, Mizutani et al. 2016). The latter is now commonly used to diagnose TZL and shows a characteristic population of T lymphocytes with an aberrant phenotype; the neoplastic cells are CD45 negative and CD25 positive, with various CD4 and CD8 expressions (Seelig et al. 2014, Martini et al. 2016, Mizutani et al. 2016). Of interest to dermatologists and primary veterinary care practitioners, it has been noted that 10 to 50% of dogs with TZL presented with, or eventually developed, adult-onset demodicosis (Flood-Knapik et al. 2013, Mizutani et al. 2016). These percentages are exceedingly high for an adult population of dogs and suggest that TZL is associated with, or results in, an immunosuppressive state. In addition to the two studies describing adult-onset demodicosis in dogs with TZL, a similar frequency of demodicosis in dogs with TZL is anecdotally observed in our oncologic practice, and there are numerous accounts of dogs, most of them golden retrievers, with concurrent TZL and demodicosis discussed on the message boards of a large web-based veterinary network (www.vin.com). Interestingly, demodicosis is occasionally diagnosed in people with lymphoid malignancies (lymphoma, leukaemia), but typically develops during maintenance cytotoxic therapy, suggesting that the immunosuppression is secondary to the long-standing aggressive chemotherapy rather than from the lymphoid malignancy itself, contrary to what is observed in dogs with TZL (van Atteveld et al. 2017). It has been our personal experience that the demodicosis of dogs with concurrent TZL responds well to appropriate therapy, especially if the TZL is also treated. We think it is important to recognise the potential connection between the two diseases; canine TZL appears to be an underlying cause predisposing affected dogs to adult-onset demodicosis. Why this was not observed by O'Neill et al. (2020) in the studied population from the UK may be a matter of geographic distribution differences, sample size, or underreporting of indolent lymphoma (TZL) in the studied population. Specifically, geographic distribution differences of various lymphoma subtypes, including TZL, was recently described in the USA for golden retrievers (Ruple et al. 2017). Recent review articles focusing on canine demodicosis do not allude to TZL as apotential risk factor (Ferrer et al. 2014, Mueller et al. 2020). Future review papers and textbook chapters on canine demodicosis and lymphoma should include this information, and more research is needed to better understand the phenomenon.

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)0,001
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,062
Tête enseignante GPT0,329
Écart entre enseignants0,267 · 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'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

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

En bref

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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