Clinical Approach to “Pathologically Ambiguous Follicular Lymphoma”: A Real-World Study
Notice bibliographique
Résumé
Introduction: The 5th WHO Classification describes a pathologically ambiguous follicular lymphoma (FL) entity as “FL3A with a focal or diffuse growth pattern” but without frank sheets of large cells 1 and recommends selecting treatment based on presenting clinical features. Literature addressing this entity is scarce 2. We therefore sought to assess the incidence and outcomes among patients receiving a pathological diagnosis of ambiguous FL. Methods: A single-center, historical cohort study identified and categorized adult patients with pathologically confirmed FL into one of three categories: low-grade (LG) FL, ambiguous FL, and high-grade (HG) FL (grade 3B +/- DLBCL). We searched our electronic health records (EHR) querying the term “follicular lymphoma” in the “diagnosis” category (Sep. 2013-Jan. 2023) and reviewed paper-based records from Jan. 2008-Aug. 2013. Patients with isolated cutaneous or gastrointestinal disease, previously diagnosed with another non-Hodgkin lymphoma (NHL), or if referred for a clinical trial were excluded. Pathology reports extracted from charts had been reported by one of 3 hematopathologists in our institution. Results: The search yielded 368 EHR charts and 30 paper-based records. We excluded 170 patients for diagnosis prior to 2008 (n=68), referral for clinical trial (n=48), isolated cutaneous or GI FL (n=7), FL in situ (n=4), prior NHL other than FL (n=4), discordant lymphoma (n=2), pediatric FL (n=2), FL was not the diagnosis (n=18), and incomplete pathology report (n=10) or unavailable patient records (n=7). SM reviewed all pathology reports and selected 35 cases that could be interpreted as “ambiguous FL”. SM and SA then reviewed these together; 7 were classified as LG FL, one as HG FL, and 2 discordant lymphomas were excluded, leaving 24 cases of ambiguous FL. As well, 188 patients were classified in the LG and 16 as HG FL. Thus, ambiguous FL comprised 10% of this cohort. Median age at diagnosis in the ambiguous cohort was 63.5 years, and 29% were female. Diagnosis was made by core needle biopsy in six cases and excisional node biopsy in 14 cases; in four cases, the biopsy type was not explicitly stated in the report. At presentation, most had advanced stage disease (n=18, 75%) and met at least one criterion for high tumor burden by GELF criteria (n=13, 54%) 3. Nine of 24 patients (37.5%) were initially managed with a watch and wait approach compared with 111/188 (59%) with LG FL. Of the 24 with ambiguous FL, two (8.3%) remained untreated throughout the duration of follow-up. In addition, 2/24 (8.3%) progressed to DLBCL compared with 28/188 (14.9%) in the LG FL cohort. R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone) was the first-line therapy in 20/24 (83.3%) patients; one received R monotherapy. In comparison, in the LG FL cohort, 37/188 (19.7%) received RCHOP-like therapy (19.7%). One patient progressed within 24 months of chemoimmunotherapy (CIT) compared with 24 in the LG FL cohort. Median progression free survival was similar for patients with LG (9.4 years) and ambiguous (8.3 years) FL, but not reached in the cohort with HG FL (likely due to the small cohort size and number of events) [log-rank p-value=0.84]. The median overall survival was not reached in all three cohorts, with a median follow-up of 7.8, 8.9 and 7.8 years, respectively [log-rank p-value=0.0023]. Discussion: Ambiguous FL is not an infrequent diagnosis in the real-world setting and requires physicians to make a clinical judgment regarding therapy. In our study, patients with ambiguous FL were more likely to be treated within 3 months of diagnosis and to receive anthracycline-based CIT than patients with LG FL. When treated soon after diagnosis with R-CHOP, patients with ambiguous FL have excellent survival outcomes similar to those with LG FL. Expanding this study to other institutions will allow for greater generalizability of these results.
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 | 0,002 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
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 ».