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Record W2903157580 · doi:10.1182/blood-2018-99-115024

Primary Mediastinal B-Cell Lymphoma: Evaluation of Clinicopathologic Diagnosis Compared to Gene Expression Based Diagnosis in a Clinical Trial with CD30+ B-Cell Lymphomas

2018· article· en· W2903157580 on OpenAlexaff
Jakub Svoboda, Steven M. Bair, Christian Steidl, Marco Ruella, Daniel J. Landsburg, Sunita D. Nasta, Stefan K. Barta, Majid Nejati, James N. Gerson, Lauren E. Strelec, Matthew R. Youngman, Elise A. Chong, Olga A. Kutovaya, Stacy Hung, Agata M. Bogusz, Megan S. Lim, Stephen J. Schuster

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer AgencySpinal Cord Injury BC
Fundersnot available
KeywordsMedicineLymphomaCD30Clinical trialBiopsyPathologyFollicular lymphomaDiffuse large B-cell lymphomaLarge-cell lymphomaOncologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: PMBCL is a unique subtype of aggressive B-cell lymphoma representing about 5% of lymphoma cases. The diagnosis is generally based on a combination of clinical features (e.g., mediastinal mass) and pathological findings on tissue biopsy (e.g., large neoplastic B-cells with variable CD30 positivity by immunohistochemistry). However, the histopathologic diagnostic criteria are not well defined and the distinction between PMBCL and diffuse large B-cell lymphoma (DLBCL) or gray zone lymphoma (GZL) involving the mediastinum can be challenging. Most PMBCL trials use the traditional diagnostic criteria for study entry. Specific treatment approaches based on results of these trials are designed for patients with PMBCL. In this study, we hypothesized that a gene expression based assay that characterizes the molecular signature of PMBCL using formalin-fixed, paraffin-embedded (FFPE) tissue may improve the diagnostic criteria and allow more accurate interpretation of results for lymphoma patients enrolled in clinical trials. Methods: This exploratory study compared the PMBCL diagnosis established by clinicopathologic criteria alone to the diagnosis assigned by a combination of clinicopathologic features and gene expression-based assay on FFPE tissue specimens of patients enrolled in a multisite phase I/II prospective trial using brentuximab vedotin (BV) in combination with rituximab - cyclophosphamide-hydroxydoxorubicin-prednisone (R-CHP) for CD30+ B-cell lymphomas (Svoboda, Blood 2017). The original diagnostic categories of PMBCL vs. DLBCL vs. GZL were assigned by investigators based on traditional clinicopathologic features. For exploratory Nanostring based diagnostic categorization, we used previously described and validated Lymph3Cx assay which consists of 64 probes with cut‐points defined at the 0.1 and 0.9 probability scores to distinguish between DLBCL and PMBCL (Mottok, Hematol Oncol 2017). The tissue was examined by a hematopathologist for adequate tumor content and nucleic acids were extracted from 10 mm FFPE scrolls or unstained slides. Survival curves were generated for PMBCL patients as categorized by investigator assessment alone and by investigator assessment plus molecular classification using STATA. Results: We enrolled 31 treatment-naïve patients with CD30+ B-cell lymphomas between January 2014 and April 2017 (NCT01994850). Based on investigator assessment, patients were categorized as PMBCL (N=23), DLBCL (N=6), and GZL (N=2). As of June 15, 2018, we obtained and analyzed diagnostic FFPE tissue using the Lymph3Cx assay on 14 pts with all 3 subtypes of CD30+ B-cell lymphomas: PMBCL (N=11), DLBCL (N=2), and GZL (N=1). Of 11 pts with PMBCL by investigator assessment alone, 8 pts (73%) had Lymph3Cx probability scores > 0.9 which was consistent with a diagnosis of PMBCL by gene expression; 2 pts (18%) scored in the indeterminate category (0.1 to 0.9); 1 pt (9%) scored as DLBCL (< 0.1). All 8 pts with a concordant diagnosis of PMBCL by investigator assessment and gene expression assay achieved complete remission (CR) and remain progression free after completing BV+R-CHP with median follow-up of 18 months. However, 1 pt re-classified as DLBCL by Lymph3Cx and 1 of 2 pts with an indeterminate score by Lymph3Cx achieved only partial responses and ultimately progressed; 1 pt with an indeterminate score remains in CR. None of the non-PMBCL pts in our exploratory analysis (2 DLBCL; 1 GZL) as assessed by investigators were categorized as PMBCL by Lymph3Cx. The CR rate for patients categorized as PMBCL by investigator assessment alone was 82% compared to 100% in those categorized as PMBCL by both investigator and gene expression assay (Table 1). The reportable progression free survival would also be different for these two cohorts (Figure 1). We will complete Lymph3Cx testing of diagnostic tissue for all 31 enrolled patients with CD30+ B-cell lymphomas enrolled on our clinical trial by the meeting. Conclusion: Preliminary results of this ongoing study suggest that a diagnosis of PMBCL by clinicopathologic assessment alone that is not supported by molecular classification may include non-PMBCL pts and affect treatment outcomes. We recommend that future clinical trials for PMBCL include gene expression based diagnostic assays to improve diagnostic accuracy and interpretation of results. Disclosures Svoboda: TG Therapeutics: Research Funding; Kyowa: Consultancy; KITE: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Regeneron: Research Funding; Merck: Research Funding; Seattle Genetics: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding. Steidl:Seattle Genetics: Consultancy; Juno Therapeutics: Consultancy; Roche: Consultancy; Tioma: Research Funding; Nanostring: Patents & Royalties: patent holding; Bristol-Myers Squibb: Research Funding. Ruella:University of Pennsylvania: Patents & Royalties. Landsburg:Curis: Consultancy, Research Funding; Takeda: Consultancy. Dwivedy Nasta:Takeda/Millenium: Research Funding; Incyte: Research Funding; Debiopharm: Research Funding; Pharmacyclics: Research Funding; Rafael/WF: Research Funding; Aileron: Research Funding; Roche: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Merck: Other: DSMC. Barta:Janssen: Membership on an entity's Board of Directors or advisory committees; Merck, Takeda, Celgene, Seattle Genetics, Bayer: Research Funding. Chong:Novartis: Consultancy. Schuster:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis Pharmaceuticals Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Honoraria, Research Funding; Dava Oncology: Consultancy, Honoraria; Nordic Nanovector: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Honoraria, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees.

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)0.012
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.080
GPT teacher head0.352
Teacher spread0.272 · 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 designNon-randomized trial
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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Citations0
Published2018
Admission routes1
Has abstractyes

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