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Record W4393088752 · doi:10.1158/1538-7445.am2024-1529

Abstract 1529: Development of lymphoid aggregates in metastatic uveal melanoma tumors treated with tebentafusp

2024· article· en· W4393088752 on OpenAlexaff
Takami Sato, Camille Britton-Rivet, Sophie Khakoo, Alistair Easton, Anastasiya Kazachenka, Laura Collins, Emma Leach, Adel Benlarech, Sarah Stanhope, Marcus O. Butler

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotherapy and Immune Responses
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMelanomaMedicinePathologyMetastatic melanomaCancer research

Abstract

fetched live from OpenAlex

Abstract Tebentafusp (tebe), targeting gp100, is the first TCR-CD3 bispecific to demonstrate overall survival (OS) benefit and is approved for the treatment of metastatic uveal melanoma (mUM). We have previously shown B cell recruitment into the tumor associates with OS on tebe [1]. We explored further the formation of lymphoid aggregates (LA) within the tumor microenvironment in response to tebe. HLA-A*02:01+ 2L+ adult patients (pts) with mUM were treated with tebe (NCT02570308). Paired tumor biopsies were collected at baseline (n=70), after 3 doses of tebe (n=48), and at radiographical progression (n=17). Presence of B cells, T cells and macrophages was assessed by immunohistochemistry, using antibodies against CD20, CD3 and CD163 respectively, and digitally quantified. Using digital density analysis, aggregates of ≥10 CD20+ B cells within CD3+ T cell area in a 100µm radius were defined as LA. At progression pts were categorized by OS ≥12 or <12 months. Mean fold change (FC) was used. At baseline, B cells were detected in 90% of pts (median 5 B cells/mm2) with those pts having no more than 2 LA/mm2 (17% pts with 1 LA/mm2 and 3% pts with 2 LA/mm2). The median number of B cells in the biggest LA per sample was 24.B cells were recruited into the tumor after 3 doses of tebe (median 32 B cells/mm2, FC 3, p=6.5e-05). The LA density increased up to 6 LA/mm2 (23% pts with 1 LA/mm2, 8% pts with 2 LA/mm2, 6% pts with 3 LA/mm2 and 2% pts with 6 LA/mm2) with a trend for an increase in LA size (median B cell number in biggest LA = 30, p = 0.67). Tumors with a low baseline CD163+ macrophage to CD3+ T cell ratio, which was previously associated with longer OS on tebe, tended to have more LA/mm2 at baseline and on-treatment than those with a high ratio. At progression, pts with long OS had more B cells in the tumor compared to short OS (median 20 vs 2 B cells/mm2; FC 5, p=0.05). Additionally, more pts with long OS had LA than pts with short OS (6/12 pts vs 1/5 pts respectively) with a density not exceeding 1 LA/mm2. LA size was larger in pts with long OS compared to short OS (median B cell number in biggest LA 30 vs 10 respectively). LA in the short OS patient was found in the normal adjacent tissue compared to the LA in long OS patients which were located in the tumor and invasive margin. Tebe enhanced the formation of LA in the tumor microenvironment, notably in the low immunosuppressed tumors, which is consistent with the hypothesis that it results in epitope spread. These observations provide deeper insight into the mechanism of action of tebe and helps to explain prolonged survival of mUM pts beyond radiographical progression. [1] Greenshields-Watson A. et al., 619, SITC 2022 Citation Format: Takami Sato, Camille Britton-Rivet, Sophie Khakoo, Alistair Easton, Anastasiya Kazachenka, Laura Collins, Emma Leach, Adel Benlarech, Sarah Stanhope, Marcus O. Butler. Development of lymphoid aggregates in metastatic uveal melanoma tumors treated with tebentafusp [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1529.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.352
Teacher spread0.306 · 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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