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Record W3170421887 · doi:10.1016/j.euros.2021.05.002

Sexual Dimorphism in Outcomes of Non–muscle-invasive Bladder Cancer: A Role of CD163+ Macrophages, B cells, and PD-L1 Immune Checkpoint

2021· article· en· W3170421887 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Urology Open Science · 2021
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsQueen's University
FundersSoutheastern Ontario Academic Medical OrganizationOntario Ministry of Research and InnovationQueen's University
KeywordsImmune systemBladder cancerTranscriptomeImmune checkpointBiologyCD163Sexual dimorphismTumor microenvironmentImmunologyCancerInternal medicineOncologyCancer researchImmunotherapyGene expressionMedicineGeneEndocrinologyGeneticsPhenotype

Abstract

fetched live from OpenAlex

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.

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.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.017
GPT teacher head0.294
Teacher spread0.277 · 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