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Record W7083170942 · doi:10.1158/2326-6074.cimm25-a010

Abstract A010: B cell infiltration and clonal expansion in tertiary lymphoid structures: Insights from intravital microscopy

2025· article· en· W7083170942 on OpenAlexaboutno aff

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture, Water, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHigh endothelial venulesImmune systemLymphLymphatic systemB cellIntravital microscopyInfiltration (HVAC)Tumor microenvironmentLymphocyte

Abstract

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Abstract Emerging clinical evidence highlights the importance of tumor infiltration of activated immune cells, particularly T and B lymphocytes, for the efficacy of immune-based cancer therapies. However, many patients show limited immune cell presence in the tumor microenvironment. High endothelial venules (HEVs) are specialized blood vessels that enable lymphocyte trafficking from circulation into lymph nodes or tumors. Histological analyses of clinical tumor samples indicate that HEVs are positioned near dense aggregates of B and T lymphocytes, known as tertiary lymphoid structures (TLS), underscoring their role in immune cell recruitment and anti-tumor immunity. The abundant development of TLS and HEVs is associated with clinical response to immune checkpoint inhibition therapy and cancer survival. Recently, we found that simultaneous activation of innate immune effectors, STING and lymphotoxin-β receptor (LTβR) using their agonists induces the formation of TLS and HEVs in TLS/HEV-free tumors. In the current study, mouse pancreatic ductal adenocarcinoma (KPC) tumors were grown in the dorsal skin fold window chamber (DSWC) and received STING/LTβR agonist combination therapy to monitor the real-time TLS/HEV development and dynamic tumor microenvironment in intravital microscopy (IVM). Transgenic mice with fluorescent red B cells and green fluorescent CD31+ blood vessels were infused with MECA-79 antibody (HEV marker) to visualize B cell trafficking through HEVs. Four-color confetti mice crossed with B cell-specific Cre mice, allowed us to analyze the clonal expansion of B cells expressing one of four colors, with daughter cells retaining their parent color. Our findings demonstrated that tumoral HEVs closely resemble those found in lymph nodes, characterized by fewer branches, longer segment lengths, and increased diameters compared to non-HEV tumor blood vessels, which typically exhibit chaotic patterns. Circulating B cells traveling through tumoral HEVs displayed significantly slower rolling velocities than non-HEV tumor vessels, likely due to enhanced integrin and L-selectin expression induced by the combination therapy. By repeated intravital imaging, we were also able to observe a quadruple increase in B cell number in TLS during the day 4-7 treatment time frame. Following adoptive transfer of splenic leukocytes from naïve donor mice, we found that these leukocytes preferentially homed to TLS-rich areas, with B cells constituting the majority of the recruited cells. Importantly, analyses using the confetti mouse model indicate that tumor infiltrating B cells underwent clonal expansion in TLS, with different TLS having different colors. Overall, our study demonstrates that HEVs are the gateways for B cell entry to tumors, and the intratumoral TLS formation is driven by localized clonal expansions of these B cells, resembling lymph node germinal center activities, which drive the development of humoral immunity against tumors. Citation Format: Gabrielle Rowe-Brown, Masanobu Komatsu. B cell infiltration and clonal expansion in tertiary lymphoid structures: Insights from intravital microscopy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr A010.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.614
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.324
Teacher spread0.309 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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