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Record W4414465177 · doi:10.1158/2326-6074.cimm25-b008

Abstract B008: Unraveling the sexually dimorphic immune microenvironment in gastric cancer

2025· article· en· W4414465177 on OpenAlexaboutno aff
Ryan T. Heslin, Shu Xiao, Morgan F. Pettigrew, Nafeesah Fatimah, Hsien‐Tsung Lai, Suntrea T.G. Hammer, Sam C. Wang

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsCancerImmune systemCD8Cytotoxic T cellAntigenSexual dimorphismImmunotherapyTumor microenvironmentCDH1

Abstract

fetched live from OpenAlex

Abstract Gastric cancer is a sexually dimorphic disease. Male patients have twice the incidence, are diagnosed at a younger age, and have worse survival outcomes than females. Whether there are molecular mechanisms that underlie these sex-based differences is unclear. We generated genetically engineered mice on C57BL/6 backgrounds with parietal cell-specific conditional deletions of Trp53 and Cdh1, two tumor suppressors commonly lost in gastric cancer (Atp4b-Cre; Trp53 flox/flox ; Cdh1 flox/flox , “APC” mice). APC mice developed gastric cancer with 100% penetrance and median overall survival was significantly longer in females (50.6 weeks, N = 20) than males (41.7 weeks, N = 23; p < 0.001). At the time of death, serum were collected and circulating cytokines were quantified using multiplex ELISA. Females had significantly higher levels of circulating IFN-γ (60.8 pg/mL vs. 10.9 pg/mL; p = 0.02) and CCL4 (257 pg/mL vs. 118.3 pg/mL; p = 0.001), suggesting enhanced cytotoxic lymphocyte and macrophage activity. Bulk RNA sequencing of tumors revealed significant enrichment of Hallmark Gene Sets associated with type I and II interferon responses and antigen presentation pathways in females. These findings suggested an immune-mediated basis for the survival difference seen between male and female APC mice. To further explore the immune microenvironment, we derived cell lines from APC tumors and performed flank injections into C57BL/6 mice. Tumor volumes at 6 weeks were not significantly different between sexes (645 mm2 in females vs. 951 mm2 in males; p = 0.35). However, flow cytometry revealed marked immune differences in total CD8+ T cells (2.4% in females vs. 0.63% in males vs.; p = 0.05), activated CD8+ T cells (23.0% vs. 9.2%; p < 0.001), dendritic cells (2.6% vs. 1.3% of myeloid cells; p = 0.05), and a trend toward increased M1 macrophages in females (1.6% vs. 0.9%; p = 0.06). We next evaluated the role of sex hormones in mediating sex-associated differences in gastric cancer. Females underwent oophorectomies (F-O) or sham operations (F-S), while males underwent orchiectomies (M-O) or sham operations (M-S). Median overall survival was significantly longer in F-S mice (47.1 weeks, N = 7) compared to F-O mice (44.1 weeks, N = 6; p=0.003). In contrast, median overall survival did not differ in M-S (44.3 weeks, N = 7) than M-O (44.7 weeks, N = 4; p=0.8). In conclusion, we demonstrate sex-based differences in survival in an autochthonous genetically engineered mouse model of gastric cancer, consistent with clinical observations that female human patients have improved overall survival than female patients. Our findings implicate the immune system as potential mediators of these differences. Preliminary data suggests hormone deprivation impacts overall survival of female mice, but not male mice. Future work is directed at identifying the molecular mechanism between female sex, sex hormones, and improved overall survival. Citation Format: Ryan T. Heslin, Shu Xiao, Morgan F. Pettigrew, Nafeesah Fatimah, Hsien-Tsung Lai, Suntrea T.G. Hammer, Sam C. Wang. Unraveling the sexually dimorphic immune microenvironment in gastric cancer [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 B008.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.054
GPT teacher head0.383
Teacher spread0.330 · 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.

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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