Sexual Dimorphism in Outcomes of Non–muscle-invasive Bladder Cancer: A Role of CD163+ Macrophages, B cells, and PD-L1 Immune Checkpoint
Bibliographic record
Abstract
Non–muscle-invasive bladder cancer (NMIBC) is over three times as common in men as it is in women; however, female patients do not respond as well to immunotherapeutic treatments and experience worse clinical outcomes than their male counterparts. Based on the established sexual dimorphism in mucosal immune responses, we hypothesized that the tumor immune microenvironment of bladder cancer differs between the sexes, and this may contribute to discrepancies in clinical outcomes. To determine biological sex-associated differences in the expression of immune regulatory genes and spatial organization of immune cells in tumors from NMIBC patients. Immune regulatory gene expression levels in tumors from male (n = 357) and female (n = 103) patients were measured using whole transcriptome profiles of tumors from the UROMOL cohort. Multiplexe immunofluorescence was performed to evaluate the density and spatial distribution of immune cells and immune checkpoints in tumors from an independent cohort of patients with NMIBC (n = 259 males and n = 73 females). Transcriptome sequencing data were analyzed using DESeq2 in R v4.0.1, followed by application of the Kruskal-Wallis test to determine gene expression differences between tumors from males and females. Immunofluorescence data analyses were conducted using R version 3.5.3. Survival analysis was performed using survminer packages. High-grade tumors from female patients exhibited significantly increased expression of B-cell recruitment (CXCL13) and function (CD40)-associated genes and the immune checkpoint genes CTLA4, PDCD1, LAG3, and ICOS. Tumors from female patients showed significantly higher infiltration of PD-L1+ cells and CD163+ M2-like macrophages than tumors from male patients. Increased abundance of CD163+ macrophages and CD79a+ B cells were associated with decreased recurrence-free survival. These novel findings highlight the necessity of considering sexual dimorphism in the design of future immunotherapy trials in NMIBC. In this study, we measured the abundance of various immune cell types between tumors from male and female patients with non–muscle-invasive bladder cancer. We demonstrate that tumors from female patients have a significantly higher abundance of immunosuppressive macrophages that express CD163. Higher abundance of tumor-associated CD163-expressing macrophages and B cells is associated with shorter recurrence-free survival in both male and female patients.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".