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Enregistrement W3096918794 · doi:10.1182/blood-2020-134393

Clinical Characteristics and Follow-up Post-Surgery of Women with Bia-ALCL Operated at a Single Institution

2020· article· en· W3096918794 sur OpenAlexaff
Paola Ghione, Joshua Vorstenbosch, Peter G. Cordeiro, Maria E. Arcila, Alison J. Moskowitz, Colette Owens, Natasha Galasso, Jonas A. Nelson, Ahmet Doǧan, Colleen M. McCarthy, Steven M. Horwitz

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueBreast Implant and Reconstruction
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésMedicineSeromaAnaplastic large-cell lymphomaSurgeryBreast implantImplantRadiation therapyBreast cancerCancerMastectomyLymphomaInternal medicineComplication

Résumé

récupéré en direct d'OpenAlex

Introduction Breast Implant Associated Anaplastic Large Cell Lymphoma (BIA-ALCL) is a rare subtype of ALCL that arises as a seroma or a mass in the space surrounding textured breast implants. In July 2019 the FDA had reported 573 cases worldwide and 33 deaths connected to the lymphoma. However, collections of cases usually come from large groups of institutions or countries, with different approaches regarding surgery and treatment. Here we describe a cohort of 18 cases undergoing implant removal and capsulectomy and followed at Memorial Sloan Kettering Cancer Center (MSKCC) Methods We retrospectively analyzed all the cases of women with breast implants undergoing implant removal and capsulectomy for BIA-ALCL at MSKCC from January 2011 to June 2020. Results are expressed in absolute numbers and percentages, survival is calculated with the Kaplan Maier method. Results Of 27 total BIA-ALCL cases seen at MSKCC, 18 women had their primary surgery for implant removal and capsulectomy by our surgery division, analyzed in our central pathology and treated and/or expectantly monitored in our T cell lymphoma clinic. Sixteen patients (89%) had implants as reconstruction after breast cancer (of which 12/16, 75% had received adjuvant/neoadjuvant chemotherapy (CT), 3, 19% radiotherapy (RT). Two subjects (11%) had implants for cosmetic reasons). Four patients (25%) had undergone implants exchange after initial reconstruction. BRCA mutational status was known in 9 patients (56%), with 3/9 women (33%) having BRCA mutations (2 BRCA2, 1 BRCA1) and one additional woman initially thought to have a mutation of BRCA2, subsequently re-classified as polymorphism. After a median exposure of 11 years (STDEV 6 y), 10 years from last implant change, median age at BIA-ALCL diagnosis was 57 years (STDEV 10 y). Implant characteristics were as follows: 18/18 (100%) silicone surface, 17/18 (94%) had a biocell textured surface, 1/18 (6%) unknown surface, 9/18 (50%) silicone filled, and 9/18 (50%) saline filled. BIA-ALCL presented as effusion in 14/18 (78%) of cases, mass in 3/18 (17%) of cases, and PET+ intramammary lymphadenopathy in 1/18 (6%). Pre-surgery, cases were assessed with PET/CT in 15/18 (83%), US in 15/18 (83%) and MR in 7/18 (39%). Initial treatment was implant removal and capsulectomy for all women, with removal of all the implants in place. One early case received implant removal and replacement with a smooth textured implant with partial capsulectomy prior to confirmed diagnosis. Three of 18 (16%) who presented with higher stage disease received additional treatment: one received chemotherapy (Brentuximab Vedotin - cyclophosphamide - doxorubicin - prednisone, BV-CHP) followed by RT consolidation, and 2 received RT consolidation only. Patients were followed for a median of 26 months (STDEV 2.22 months) after diagnosis, with clinical exam every 3-6 months (100%), PET/CT in 16/18 (89%), and MR in 4/18 (22%). No patient died of lymphoma progression or recurrence. One patient died from progression of breast cancer. One woman (described above) recurred 2 years after receiving incomplete capsulectomy and smooth surface implant re-placement. She underwent repeat implant removal and bilateral capsulectomy and remains disease free at 6.5 years from the second surgery. Another patient was likely diagnosed at recurrence: she underwent unilateral implant removal and partial unilateral capsulectomy for recurrent delayed seroma (at the time of this implant removal BIA-ALCL could not be confirmed). 1.5 years later she developed a recurrent seroma on the contralateral side where a textured device remained. BIA-ALCL diagnosis was confirmed at this time. Overall survival (Figure 1), was 94% at 2 years and progression-free survival was 89% at 2 years. Conclusions Our data on this cohort of patietns with BIA-ALCL surgically treated and followed at a single institution, confirm the importance of adequate surgery (bilateral implant removal and complete capsulectomy) in patients presenting with seroma-confined disease. This dataset reinforces the high rates of progression free and overall survivalwhen diagnosis is identified and treatment performed in those with limited stage disease. Studies are ongoing to determine the role of somatic mutations like BRCA1-2. Figure: overall and progression-free survival of BIA-ALCL women operated and followed at MSKCC Figure 1 Disclosures Cordeiro: Inamed: Consultancy, Research Funding; Acelity: Consultancy; Allergan: Consultancy, Research Funding. Moskowitz:Bristol-Myers Squibb: Research Funding; Merck: Research Funding; Merck: Consultancy; Miragen Therapeutics: Consultancy; Seattle Genetics: Consultancy; Seattle Genetics: Research Funding; Incyte: Research Funding; Imbrium Therapeutics, L.P.: Consultancy. Dogan:Takeda: Consultancy; AbbVie: Consultancy; National Cancer Institute: Research Funding; Seattle Genetics: Consultancy; EUSA Pharma: Consultancy; Corvus Pharmaceuticals: Consultancy; Roche: Consultancy, Research Funding; Physicians Education Resource: Consultancy. Horwitz:Vividion Therapeutics: Consultancy; Affirmed: Consultancy; Daiichi Sankyo: Research Funding; GlaxoSmithKline: Consultancy; Janssen: Consultancy; Kura Oncology: Consultancy; ASTEX: Consultancy; C4 Therapeutics: Consultancy; Beigene: Consultancy; Portola: Consultancy, Research Funding; Mundipharma: Consultancy; Innate Pharma: Consultancy; Corvus: Consultancy; Trillium: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Millenium/Takeda: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Infinity/Verastem: Research Funding; Forty Seven: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Aileron: Consultancy, Research Funding; ADCT Therapeutics: Consultancy, Research Funding; Verastem: Consultancy, Research Funding; Myeloid Therapeutics: Consultancy; Miragen: Consultancy.

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)0,000
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,035
Tête enseignante GPT0,251
Écart entre enseignants0,217 · 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
Publié2020
Routes d'admission1
Résumé présentoui

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