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Enregistrement W2912211355 · doi:10.1182/blood-2018-99-116783

S100B Is a Useful Marker for the Diagnosis of Haemophagocytic Lymphohistiocytosis

2018· article· en· W2912211355 sur OpenAlexaffabout
Rosemarie Tremblay‐LeMay, Lourdes Calvente, Monali Gupta, Anne Tierens, David Barth, John Kuruvilla, Jan Delabie

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueAutoimmune and Inflammatory Disorders Research
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésHemophagocytic lymphohistiocytosisPathologyMacrophage activation syndromeContext (archaeology)ImmunologyPathologicalCytopeniaInflammationMedicineBiologyDiseaseBone marrow

Résumé

récupéré en direct d'OpenAlex

Abstract Haemophagocytic lymphohistiocytosis (HLH) is a life-threatening systemic inflammatory clinical syndrome that can be primary/familial or secondary to a variety of underlying conditions. The 2004 diagnostic criteria for HLH require 5 out of 8 of the following clinical and pathological variables to be present: fever, splenomegaly, cytopenia in at least 2 lineages, hypertriglyceridemia/hypofibrinogenemia, haemophagocytosis on pathology examination, low/absent NK cell activity, ferritin greater than 500µg/L or soluble IL-2 receptor (sCD25) greater than 2400 U/mL. At least 5 of these criteria must be met, as each one lacks specificity. With regard to the pathology detection of haemophagocytosis, the sensitivity and specificity reported in the literature were 83% and 60% respectively. Indeed, a degree of haemophagocytosis can be seen outside the context of HLH. Furthermore, some of the diagnostic features of HLH may not be useful when applied to single cases because they may be intrinsic to the underlying condition. Therefore, we wondered whether the histopathological diagnosis might be improved. We investigated whether testing for S100B expression in macrophages might render the detection of haemophagocytosis more specific and sensitive. S100B is a marker of macrophage activation, and can routinely be detected by immunohistochemistry. S100B has pro-inflammatory properties and has been shown to affect macrophage function. It is typically expressed in macrophages of Rosai-Dorfman disease apart of having also a tissue-specific expression pattern, marking melanocytes as well as Langerhans cells and other subsets of dendritic cells. A natural language search of the pathology database at our institution identified 32 patients with bone marrow samples reporting haemophagocytosis as evaluated on bone marrow smear preparations, between January 2002 and July 2015. Cases that did not have available paraffin-embedded bone marrow trephine biopsy and clinical data were excluded. The bone marrow samples of three patients without haemophagocytosis and without any clinical features of HLH were used as controls: a new diagnosis of acute leukemia, a follow-up of acute leukemia post-transplant and a known lymphoma patient with unexplained pancytopenia. Clinical parameters relevant to the diagnosis of HLH were evaluated. Cases were clinically categorized as diagnostic for HLH (≥5 criteria), clinically likely (<5 criteria, but clinical presentation consistent) or clinically non suspicious (<5 criteria and clinical presentation not consistent with HLH). Stains for S100B and CD68 were performed. The percentage of S100B positive cells of all bone marrow cells as well as the percentage of CD68 positive macrophages was calculated from 500-cell counts using a 40x objective lens. The median patient age was 57 years (range 18-80). Underlying clinical diagnoses are reported in Table 1. Expression of S100B ranged from 0-76.4%. Cases without morphological evidence of haemophagocytosis had less than 1% S100B-positive cells. Cases with presence of haemophagocytic cells showed various levels of S100B-positive cells. Of interest, >10% S100B-positive cells (of all cells) was 100% specific for cases meeting ≥4 HLH criteria, 91% specific for cases clinically likely HLH or confirmed HLH. The sensitivity was 60% for cases meeting ≥4 HLH criteria, 52% for cases being likely HLH or confirmed HLH. Percentage of CD68-positive cells or S100B/CD68 ratio did not add relevant information. The high specificity of S100B expression by immunohistochemistry indicates it may be an additional diagnostic feature of HLH. Of note, the test is available in routine immunohistochemistry laboratories. Since not all cases of HLH show increased numbers of S100B-expressing macrophages, the test does not obviate the need for the 2004 criteria. Serological immunoassays for S100B have been developed for use in the context of brain disease/injuries and malignant melanoma. Based on our data, we intend to further investigate the sensitivity and specificity of S100B as a serological marker of HLH. Disclosures Kuruvilla: BMS: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Abbvie: Consultancy; Amgen: Honoraria; Seattle Genetics: Consultancy, Honoraria; Leukemia and Lymphoma Society Canada: Research Funding; Merck: Consultancy, Honoraria; Karyopharm: Honoraria; Celgene: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Princess Margaret Cancer Foundation: Research Funding; Lundbeck: Honoraria.

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)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,000
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 Opus0,037
Tête enseignante GPT0,311
Écart entre enseignants0,274 · 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'étudeObservationnel
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

Citations0
Publié2018
Routes d'admission2
Résumé présentoui

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