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Record W2412466530 · doi:10.1158/1538-7445.am2015-4303

Abstract 4303: Programmed death ligand 1 (PD-L1) expression in paired melanoma tumor samples

2015· article· en· W2412466530 on OpenAlexaff
Torben Steiniche, Allan Vestergaard Danielsen, Zhen Wang, Patricia Switten Nielsen, Lars Bastholt, Henrik Schmidt, Inge Marie Svane, Marisa Dolled‐Filhart, Kenneth Emancipator, Dianna Wu, Michael Busch-Sørensen, Wei Zhou

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsConcordanceImmunohistochemistryMedicineMelanomaInternal medicineConfidence intervalGastroenterologyPathologyOncologyCancer research

Abstract

fetched live from OpenAlex

Abstract Background: There is limited information on changes in PD-L1 expression levels over time in melanoma. Methods: PD-L1 expression was measured in melanoma tumor samples collected at different time points from the same patient using a prototype immunohistochemistry (IHC) assay with the 22C3 antibody. PD-L1 positivity was defined as staining in ≥1% of cells. The concordance of PD-L1 expression in paired samples was analyzed by treating the IHC proportion score as a continuous variable or classifying staining as positive or negative. Results: 48 patients were included. Median age was 65 years (range, 23-85), 73% were male, and 60% had stage I-IIIA disease. All first samples and 85% of second samples were surgical samples. The median interval between sample collection dates was 25.3 months (range, 3.1-203.5). There was no statistically significant correlation of the PD-L1 IHC proportional score between paired samples (Pearson correlation coefficient, 0.13). 40% of patients had an increased proportion score at the second time point, and 10% had a decreased score. The prevalence of PD-L1 positivity was 31% in first samples and 46% in second samples. The concordance rate was 65% (95% CI, 49%-78%) when PD-L1 expression was categorized as positive or negative (Table). The concordance rate was similar in paired samples collected within and beyond 2 years. Concordance of PD-L1 Expression in Paired Melanoma Samples (N = 48)Later Time PointPD-L1 ExpressionPositive, n (%)Negative, n (%)Earlier Time PointPositive10 (20.8)5 (10.4)Negative12 (25.0)21 (43.7) Conclusion: Our preliminary analysis did not suggest a significant correlation of PD-L1 expression in paired melanoma samples collected at different time points. Similar results were observed when samples were categorized as PD-L1 positive or PD-L1 negative. The 35% discordance rate between initial and subsequent tumor samples should be considered if PD-L1 expression is used for selection of enrollment in clinical trials. Citation Format: Torben Steiniche, Allan Vestergaard Danielsen, Zhen (Adelle) Wang, Patricia Switten Nielsen, Lars Bastholt, Henrik Schmidt, Inge Marie Svane, Marisa Dolled-Filhart, Kenneth Emancipator, Dianna Y. Wu, Michael Busch-Sorensen, Wei Zhou. Programmed death ligand 1 (PD-L1) expression in paired melanoma tumor samples. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4303. doi:10.1158/1538-7445.AM2015-4303

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.224
GPT teacher head0.432
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2015
Admission routes1
Has abstractyes

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