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Record W4401498692 · doi:10.1101/2024.08.09.24311704

Adjuvant rituximab and elevated intratumoural CD8 expression are associated with sustained disease control after radiotherapy in early-stage follicular lymphoma: TROG99.03

2024· preprint· en· W4401498692 on OpenAlexaff
Michael MacManus, John F. Seymour, Hennes Tsang, Richard Fisher, Colm Keane, Muhammed B. Sabdia, Soi Cheng Law, Jay Gunawardana, Karthik Nath, Stephen H. Kazakoff, Mario L. Marques‐Piubelli, Daniela Dueñas, Michael R. Green, Daniel Roos, Peter C. O’Brien, Andrew McCann, Richard Tsang, Sidney Davis, David Christie, Chan Y. Cheah, Benhur Amanuel, Tara Cochrane, Jason Butler, Anna Johnston, Mohamed Shanavas, Li Li, Claire M. Vajdic, Robert Kridel, Victoria Shelton, Samantha Hershenfield, Tara Baetz, David P. LeBrun, Nathalie Johnson, Marianne Brodtkorb, Maja Ludvigsen, Francesco d’Amore, Ella R. Thompson, Piers Blombery, Maher K. Gandhi, Joshua W.D. Tobin

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsMcGill University Health CentreQueen's UniversityPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineRituximabInternal medicineFollicular lymphomaGastroenterologyHazard ratioCyclophosphamideVincristineProgression-free survivalOncologySurgeryLymphomaOverall survivalChemotherapyConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background We report extended follow-up of TROG99.03, a randomised phase III trial in early-stage follicular lymphoma (ESFL) including new information on the role of adjuvant rituximab and translational studies. Methods Patients with ESFL were randomised to involved-field radiotherapy (IFRT) or IFRT plus 6-cycles cyclophosphamide/vincristine/prednisolone (IFRT+CVP). From 2006 rituximab was added to IFRT+CVP (IFRT+R-CVP). Clinical and multi-omic parameters were evaluated. Findings were validated in two independent ESFL cohorts (99 and 60 patients respectively). Findings Between 2000-2012, 150 (75 per arm) patients were recruited. 48% were positron emission tomography (PET)-staged. Per protocol, at median follow-up 11.3-years, progression-free survival (PFS) remained superior for IFRT+(R)CVP vs. IFRT (hazard ratio [HR]=0.60, 95%CI=0.37-0.98, p=0.043; 10-year PFS 62% vs. 43%) respectively. Although no significant difference in overall survival was observed (HR=0.44, 95%CI=0.16-1.18, p=0.11, 10-year OS 95% vs 84%), patients receiving IFRT+(R)CVP experienced fewer composite (histological transformation and death) events (p=0.045). PFS of IFRT+R-CVP-treated patients compared with all other treatments lacking rituximab (IFRT alone plus IFRT+CVP) was superior (HR=0.36, 95%CI=0.13-0.82, p=0.013). Amongst PET-staged patients, PFS differences between IFRT+R-CVP vs. IFRT were maintained (HR=0.38, 95%CI=0.16-0.89, p=0.027) indicating benefit distinct from stage migration. FL-related mutations and BCL2 -translocations were not associated with PFS. However, by multivariate analysis elevated CD8A gene expression in diagnostic biopsy tissue was independently associated with improved PFS (HR=0.45, 95%CI=0.26-0.79, p=0.037), a finding confirmed in both ESFL validation cohorts. CD8A gene expression was raised (p=0.02) and CD8+ T-cell density higher within follicles in ESFL vs. advanced-stage FL (p=0.047). Human leucocyte antigen class I specific neoantigens were detected in 43% of patients, suggesting neoantigen-specific CD8+ T-cells have a role in confining the spread of the disease. Interpretation Adjuvant R-CVP and elevated intratumoural CD8 expression were independently associated with sustained disease control after radiotherapy in ESFL. Funding Cancer Council Victora; National Health and Medical Research Council; Leukaemia Foundation; Mater Foundation.

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)0.002
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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.007
GPT teacher head0.236
Teacher spread0.229 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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