Basal‐subtype bladder tumours show a ‘hot’ immunophenotype
Bibliographic record
Abstract
AIMS: Basal and luminal molecular subgroups of muscle-invasive urothelial carcinoma (UC) can be recognised by the use of immunohistochemical markers. Studies have shown that responses to chemotherapy and outcomes differ among these subtypes. High-grade UC of the bladder is an immunogenic neoplasm that induces a substantial intratumoral and peritumoral immune response; the phenotype of infiltrating immune cells may yield prognostic information and predict response to therapy. In this study, we aimed to correlate the immunohistochemical phenotype of high-grade UC with immune microenvironment composition. METHODS AND RESULTS: Two hundred and thirty-five cases of high-grade UC treated with cystectomy were reviewed. Clinicopathological variables for each case were recorded, and disease-free survival at last follow-up was calculated. Invasive front inflammation and tumour-infiltrating lymphocytes were scored for each case. Two hundred and seven cases were used to construct a triplicate-core tissue microarray (TMA), with sections stained for cytokeratin (CK) 5/6 and GATA3. Of the evaluable cases, 167 were designated as luminal (CK5/6- and GATA3+) and 29 as basal (CK5/6+ and GATA3-). Additional sequential TMA sections were stained for CD3, CD4, CD8, CD20, CD68, CD163, FOXP3, programmed cell death protein 1 (PD-1), and programmed death-ligand 1 (PD-L1) (SP263). Basal-subtype tumours showed a trend towards worse disease-specific survival (P = 0.078). There were statistically significant associations between basal subtype and CD8 expression (P = 0.008), PD-1 expression (P = 0.001), and PD-L1 expression (P = 0.014). Lower CD4/CD8 and increased CD8/FOXP3 ratios (P = 0.047 and P = 0.031, respectively) were also identified in the basal-subtype group. CONCLUSIONS: Basal-subtype high-grade UC has an abundance of CD8+ T cells with increased expression of inhibitory markers, indicative of a 'hot' immunophenotype.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".