Tumor-Infiltrating Plasma Cells Are Associated with Tertiary Lymphoid Structures, Cytolytic T-Cell Responses, and Superior Prognosis in Ovarian Cancer
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Bibliographic record
Abstract
PURPOSE: CD8(+) tumor-infiltrating lymphocytes (TIL) are key mediators of antitumor immunity and are strongly associated with survival in virtually all solid tumors. However, the prognostic effect of CD8(+) TIL is markedly higher in the presence of CD20(+) B cells, suggesting that cooperative interactions between these lymphocyte subsets lead to more potent antitumor immunity. EXPERIMENTAL DESIGN: We assessed the colocalization patterns, phenotypes, and gene expression profiles of tumor-associated T- and B-lineage cells in high-grade serous ovarian cancer (HGSC) by multicolor IHC, flow cytometry, and bioinformatic analysis of gene expression data from The Cancer Genome Atlas. RESULTS: T cells and B cells colocalized in four types of lymphoid aggregate, ranging from small, diffuse clusters to large, well-organized tertiary lymphoid structures (TLS) resembling activated lymph nodes. TLS were frequently surrounded by dense infiltrates of plasma cells (PC), which comprised up to 90% of tumor stroma. PCs expressed mature, oligoclonal IgG transcripts, indicative of antigen-specific responses. PCs were associated with the highest levels of CD8(+), CD4(+), and CD20(+) TIL, as well as numerous cytotoxicity-related gene products. CD8(+) TIL carried prognostic benefit only in the presence of PCs and these other TIL subsets. PCs were independent of mutation load, BRCA1/2 status, and differentiation antigens but positively associated with cancer-testis antigens. CONCLUSIONS: PCs are associated with the most robust, prognostically favorable CD8(+) TIL responses in HGSC. We propose that TLS facilitate coordinated antitumor responses involving the combined actions of cytolytic T cells and antibody-producing PCs. Clin Cancer Res; 22(12); 3005-15. ©2016 AACR.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it