Immunocytochemistry for ARID1A as a potential biomarker in urine cytology of bladder cancer
Bibliographic record
Abstract
BACKGROUND: Mutations of AT-rich interactive domain 1 (ARID1A) have been associated with a worse outcome after intravesical treatment with bacille Calmette-Guérin in patients with non-muscle-invasive bladder cancer (NMIBC). Loss of ARID1A protein expression in urine cytology may serve as an indication of an ARID1A mutation. Therefore, the authors examined the expression of ARID1A in urine cytology and histological specimens of bladder cancer for correlation with ARID1A mutational status. METHODS: The authors constructed a tissue microarray containing samples from 164 tissue samples from 150 patients with NMIBC and 100 tissue samples from 81 patients with muscle-invasive bladder cancer. A second cohort consisted of archived cytological specimens and matched tissue sections from 62 patients with high-grade NMIBC. The authors established immunohistochemistry and immunocytochemistry (ICC) protocols, respectively, for the analysis of ARID1A protein expression in histological and cytological specimens. Confirmatory next-generation sequencing (NGS) was performed on tumor specimens using a targeted NGS panel containing all exonic regions of ARID1A. RESULTS: The prevalence of ARID1A loss of expression on the tissue microarray was 3.6% in NMIBC (6 of 164 tissue samples) and 10% in muscle-invasive bladder cancer (10 of 100 tissue samples) (P = .059). Loss of ARID1A expression in cytology was concordantly immunohistochemistry negative in 6 of 8 matched tissue specimens. NGS confirmed an ARID1A mutation on all 6 histology samples with loss of ARID1A expression. When NGS demonstrated an absence of ARID1A mutation, histology was concordantly positive (16 of 16 cases). CONCLUSIONS: The authors have suggest ARID1A ICC as a promising surrogate marker for ARID1A mutational status in patients with urothelial carcinoma. Pitfalls in ICC scoring include benign umbrella cells that often are negative for ARID1A. Further prospective studies are needed to determine the clinical relevance of ARID1A ICC in urinary cytology.
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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 | 0.001 | 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) | 0.001 | 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".