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Record W2568986691 · doi:10.1182/blood.v122.21.847.847

Gray Zone Lymphoma (GZL) With Features Intermediate Between Classical Hodgkin Lymphoma (cHL) and Diffuse Large B-Cell Lymphoma (DLBCL): A Large Retrospective Multicenter Analysis Of Clinical Characteristics, Treatment, Outcomes, and Prognosis In The Current Era

2013· article· en· W2568986691 on OpenAlexaff
Andrew M. Evens, Jennifer A. Kanakry, Laurie H. Sehn, Tatyana Feldman, Aimee Kroll, Randy D. Gascoyne, Adam M. Petrich, Jeremy S. Abramson, Francisco J. Hernandez‐Ilizaliturri, Zeina Al‐Mansour, Camille Adeimy, Jessica Hemminger, Nancy L. Bartlett, Anthony R. Mato, Paolo F. Caimi, Ranjana H. Advani, Andreas K. Klein, Izidore S. Lossos, Oliver W. Press, Jonathan W. Friedberg, Julie M. Vose, Kristie A. Blum

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineB symptomsInternal medicineDiffuse large B-cell lymphomaUnivariate analysisLymphomaHypoalbuminemiaStage (stratigraphy)AnemiaGastroenterologyRetrospective cohort studyInternational Prognostic IndexProportional hazards modelOncologyMultivariate analysis

Abstract

fetched live from OpenAlex

Abstract Background The WHO recognizes a category of B-cell lymphoma, unclassifiable, with features intermediate between DLBCL and cHL, which is commonly referred to as GZL. This is an uncommon entity that is reported to present primarily with mediastinal involvement; there is a paucity of data describing non-mediastinal presentations. Furthermore, treatment of this entity is challenging due to disease heterogeneity, lack of data regarding prognostication, and no standard guidelines for management. Methods We performed a multicenter retrospective analysis of newly diagnosed GZL patients (pts) treated from 2001-2012 at 18 North American academic centers. Inclusion criteria included availability of clinical information as well as minimum follow up of 12 months for non-relapsing pts. Diagnosis was established by institutional expert pathology review. We examined detailed pt characteristics, treatment and outcome, and we determined prognostic factors associated with survival on univariate and multivariate Cox regression analyses. Results 100 pts with GZL were identified; 4 were excluded for inadequate follow-up. Of 96 cases, median age was 39 years (19-86) with 23% of pts age ≥ 60 years; M:F ratio was 1.5:1. Clinical characteristics at diagnosis were as follows: 52% stage III/IV; 56% B symptoms; 89% ECOG PS 0-1; 38% elevated LDH; 31% hypoalbuminemia, 62% anemia; 13% bone marrow involvement; 24% bulky disease >10cm (26% stage I/II and 20% stage III/IV had bulk disease); and 23% of pts had IPI 3-5 and 18% IPS 4-7. Notably, 44% of pts presented with mediastinal involvement (MGZL), while 56% had systemic disease without mediastinal involvement (NMGZL). Compared with NMGZL, pts with MGZL were younger (37 vs 50 years, P<0.0001) and more frequently had stage I/II disease (77% vs 17%, P=0.0001). Further, MGZL had lower IPS (12% 3-7) and IPI scores (12% 3-5) compared with NMGZL (44% IPS 3-7, P=0.0002; and 33% IPI 3-5, P=0.0006). The most common first-line therapy for all pts was R-CHOP (n=48), followed by ABVD (n=25), R-EPOCH (n=10), CHOP (n=5), BEACOPP or hyperCVAD (n=5), and other (n=2); 69% of pts received rituximab as part of first-line therapy and 31% received consolidative radiotherapy (RT) (RT: 70% of MGZL and 13% of NMGZL). The overall response rate (ORR) to first-line therapy was 70% with 58% achieving a complete remission (CR); 27% of pts had primary refractory disease. While there was a trend for improved CR rate for pts who received rituximab as part of first-line therapy (65% vs 40% for those not receiving rituximab, P=0.07), there were no significant differences in response based on other individual treatment regimens or modalities. At a median follow-up of 25 months (8-109), the 2-year progression-free survival (PFS) and overall survival (OS) for all pts were 41% and 84%, respectively (Figure 1). PFS and OS were superior for pts with stage I/II disease compared with stage III/IV (PFS: 52% vs 32%, respectively, P=0.02; OS: 97% and 71%, respectively, P=0.001). On univariate analysis, clinical factors that predicted PFS and OS are detailed in Table 1. Interestingly, despite having lower risk features, the PFS or OS for MGZL did not differ from NMGZL. On multivariate regression analysis for PFS, elevated LDH was the only factor that predicted poorer outcome (HR 2.01 (95% CI 0.99-4.09), P=0.05). Several factors were significant for inferior OS including: presence of B symptoms (HR 17.41 (95% CI 1.53-197.57), P=0.02), hypoalbuminemia (HR 8.09 (95% CI 1.37-47.83), P=0.02), and stage 4 vs 1-3 disease (HR 21.39 (95% CI 2.90-157.74), P=0.003). Conclusions To the best of our knowledge, this is the largest series of GZL reported to date. We describe a new clinical subtype (NMGZL), which has distinct characteristics, but similar outcomes as MGZL. Within the limitations of a retrospective analysis, overall PFS appeared inferior to that observed in cHL and DLBCL, though OS was excellent, suggesting in part the success of salvage therapy. An elevated LDH was associated with worse PFS, while there were no differences seen based on clinical presentation or initial therapy. Further, there were several clinical factors identified (i.e., B symptoms, albumin, and stage) that strongly predicted OS. Continued examination both biologically and clinically of this unique subset of lymphoma is warranted. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.296
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2013
Admission routes1
Has abstractyes

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