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Record W2966773770 · doi:10.1002/cncy.22167

Immunocytochemistry for ARID1A as a potential biomarker in urine cytology of bladder cancer

2019· article· en· W2966773770 on OpenAlexaff
Sarah G. Dugas, David C. Müller, Clémentine Le Magnen, Joël R. Federer‐Gsponer, Hans‐Helge Seifert, Christian Ruiz, Spasenija Savic Prince, Tatjana Vlajnic, Tobias Zellweger, Kirsten D. Mertz, Jack V. W. Bacon, Alexander W. Wyatt, Cyrill A. Rentsch, Lukas Bubendorf

Bibliographic record

VenueCancer Cytopathology · 2019
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBiomarkerImmunocytochemistryCytologyUrine cytologyBladder cancerUrineCancerPathologyARID1AOncologyUrologyInternal medicine

Abstract

fetched live from OpenAlex

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.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.334
Teacher spread0.316 · 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 designBench or experimental
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

Citations14
Published2019
Admission routes1
Has abstractyes

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