MétaCan
Menu
← Back to cohort

Assessment of carcinoembryonic antigen-related cell adhesion molecule 5 expression by immunohistochemistry in real-world clinical samples of non-small cell lung cancer.

2024· article· en· W4399519592 on OpenAlexaff
Ying-Han R. Hsu, Amna Almutrafi, Katrina Hueniken, Ming‐Sound Tsao

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsCarcinoembryonic antigenMedicineImmunohistochemistryLung cancerCell adhesion moleculeAntigenPathologyCellCancer researchOncologyCancerInternal medicineImmunologyBiology

Abstract

fetched live from OpenAlex

e20013 Background: Carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) is an emerging target of antibody-drug conjugate therapy for non-small cell lung cancer (NSCLC). High expression of CEACAM5 has been reported in approximately 25% of patients with lung adenocarcinoma (Lefebvre AM, et al. Lung Cancer. 2023; 184:107356). However, CEACAM5 expression has not been systematically examined in a real-world patient population with NSCLC. In this study, we evaluated our experience in the assessment of CEACAM5 expression by immunohistochemistry (IHC) in routinely diagnosed clinical samples. Methods: We assessed the expression of CEACAM5 by IHC on clinical biopsy/resection samples of consecutively diagnosed NSCLC from September 2022 to June 2023 at our institution, using the anti-CEACAM5 clone 769 antibody assay protocol developed for tusamitamab ravtansine clinical trials. Only cases adequate for PD-L1 22C3 and Oncomine Comprehensive Assay v3 NGS assay were included. CEACAM5 expression was scored independently by three pathologists based on the method proposed by Lefebvre et al. Expression levels were categorized as high (≥ 50% tumor cells at ≥ 2+ intensity), moderate (1–49% tumor cells at ≥ 2+ intensity), and negative (0 or 1+ intensity). Interrater reliability was assessed by Kendall’s coefficient of concordance (KCC) and Fleiss’ Kappa. Discordant classification was reviewed with the final classification achieved by consensus. Association with PD-L1 TPS and NGS results was determined by Chi-squared test. Results: This study cohort consisted of 150 consecutively diagnosed NSCLC, including 133 adenocarcinomas and 17 squamous cell carcinomas. The samples were derived from both primary (n = 138) and metastatic sites (n = 12). Both membranous and cytoplasmic CEACAM5 expression was observed in neoplastic cells, but was consistently absent in nonneoplastic cells. The prevalence of consensus high CEACAM5 membranous expression was 21% (n = 32) overall, 20% in primary (n = 28) and 33% (n = 4) in metastatic sites. The level of interrater agreement across all categories was moderate (KCC = 0.77). Interrater agreement between high CEACAM5 expression versus moderate/negative categories combined was also moderate (Kappa = 0.60). Challenging features included the determination of staining intensity and mixed membranous and cytoplasmic staining pattern, and cases near the cut-offs of the defined categories. CEACAM5 expression was not associated with PD-L1 TPS (p = 0.42) or EGFR mutations (p = 0.44). Conclusions: Our data showed that approximately 20% of routinely diagnosed clinical NSCLC samples had high CEACAM5 expression by IHC. The interrater reliability on the determination of high CEACAM5 expression was moderate among the three pathologists. We highlighted the challenging aspects in the evaluation of this biomarker.

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)0.002
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.506
Teacher spread0.422 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicMonoclonal and Polyclonal Antibodies Research→French-language works237,207→