Abstract B047: Tertiary lymphoid structures and B cells signatures determine clinically relevant T cell phenotype in ovarian cancer
Bibliographic record
Abstract
Abstract Tertiary lymphoid structures (TLSs) are ectopic lymphoid formations that arise at sites with persistent inflammatory conditions, including tumors. TLSs are composed predominantly of B cells, T cells, and CD21+ CD23+ follicular dendritic cells and exhibit different levels of the organization, ranging from locally concentrated aggregates of immune cells to well-defined B cell follicles to mature follicles with germinal center formation. Supporting key relevance for TLSs in natural and immunotherapy-driven immunosurveillance, intratumoral TLS density has been associated with improved disease outcome and response to cancer immunotherapy, mainly check-point inhibitors (ICIs) in solid carcinomas. Here, we demonstrate that compared to the immunologically hot tumors like non-small cell lung carcinoma (NSCLC), human high-grade serous ovarian carcinoma (HGSOC) contains only a limited number of TLS with germinal center formation. In parallel, TLS frequency and maturation positively correlate with progenitor stem-like CD8+ T cell phenotype. In line with this notion, B cell depletion in HGSOC biopsies promoted terminally exhausted, poorly ICI-sensitive CD8+ T cells, suggesting a critical role of intratumoral B cells in maintaining T cell effector functions. These findings point to key numerical and functional differences between mature TLSs in ICI-responsive vs ICI-irresponsive neoplasms that may guide the development of alternative ICI-based immunotherapies for patients with HGSOC. Citation Format: Irena Kusova Moserova, Lenka Kasikova, Jana Rakova, Jana Tomankova, Michal Henser, Tereza Lanickova, Katerina Mojzisova, Jana Drozenova, Jan Laco, Lukas Rob, Michael Halaska, Ales Ryska, Robert Lischke, Jiri Vachtenheim, David Cibula, Lorenzo Galluzzi, Radek Spisek, Jitka Fucikova. Tertiary lymphoid structures and B cells signatures determine clinically relevant T cell phenotype in ovarian cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr B047.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".