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Concordance analysis between tumor tissue HER2 status by immunohistochemistry (IHC) and in situ hybridization (ISH) and a translational analysis of plasma ctDNA in patients (pts) with biliary tract cancer (BTC): An exploratory analysis from the phase 2 HERIZON-BTC-01 trial.

2025· article· en· W4410817865 on OpenAlexaff
James J. Harding, Jin Won Kim, Do‐Youn Oh, Heung-Moon Chang, Emerson Yu-sheng Chen, Dong Uk Kim, Eric Xueyu Chen, Joon Oh Park, Mohamedtaki Abdulaziz Tejani, Jean‐Philippe Metges, John Bridgewater, Teresa Macarulla, Xiaotian Wu, Yi Zhao, Diana Shpektor, Phillip M. Garfin, Shubham Pant

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsPrincess Margaret Cancer Centre
FundersJazz Pharmaceuticals
KeywordsMedicineImmunohistochemistryIn situ hybridizationConcordanceBiliary tract cancerCancerPathologyOncologyInternal medicineGene expressionBiologyGeneGemcitabine

Abstract

fetched live from OpenAlex

4102 Background: HER2 is a target for precision oncology. HER2 protein overexpression and/or gene amplification is observed in a subset of pts with BTC. Zanidatamab (zani), a dual HER2-targeted bispecific antibody, received accelerated approval as a treatment for adults with previously treated, unresectable, or metastatic HER2-positive (IHC 3+) BTC based on the phase 2b HERIZON-BTC-01 trial. In this exploratory analysis, we evaluated concordance between tissue-based HER2 IHC and ISH in screened pts, and HER2 gene amplification between tissue-based HER2 ISH and plasma ctDNA by NGS in zani-treated pts. Methods: In HERIZON-BTC-01 (NCT04466891) pts were screened for HER2 gene-amplified tumors by ISH (VENTANA HER2 Dual ISH DNA Probe Cocktail assay) at a central laboratory. Pts with HER2 gene amplification were prospectively assigned to cohorts based on centrally determined HER2 IHC score (Ventana PATHWAY [4B5] IHC assay); cohort 1: IHC 2+ or 3+; cohort 2: IHC 0 or 1+. HER2 status was assessed in a fresh biopsy or an archived sample per ASCO/CAP guidelines, with gastric cancer algorithm. Enrolled pts received zani 20 mg/kg IV Q2W in 28-day cycles. Plasma ctDNA samples were collected prior to the first cycle of zani (baseline) and on-treatment at cycle 2 day 28 for testing with NGS Guardant360 (Guardant Health). Guardant360 Molecular Response (MR) scores were calculated based on changes in plasma ctDNA levels from baseline. Results: Overall, 756 screened pts had central results for both HER2 IHC and ISH. Nearly all pts (94%) with HER2 IHC 3+ BTC had HER2 -amplified tumors per ISH (Table). Among all 87 pts treated with zani across both cohorts, 48 samples from 25 pts were available for testing with NGS. The concordance between HER2 gene amplification by ISH and ctDNA NGS was 59%. Co-mutations at baseline in plasma ctDNA occurring in > 10% of pts included KRAS (n = 1 [3%]), HER2 S310F (n = 3 [9%]), and PIK3CA (n = 6 [18%]). Overall, 18/25 (72%) pts had a decrease in ctDNA levels from baseline at cycle 2 day 28; decreases > 90% were observed in pts with a best response of partial or stable disease. MR scores correlated with tumor response (ANOVA, P = 0.0189). Conclusions: In this analysis, there was a high concordance (94%) observed between tumor tissue HER2 IHC 3+ status and HER2 gene amplification among pts screened in HERIZON-BTC-01. Exploratory translational analysis shows that treatment with zani after 2 cycles was associated with a decrease in plasma ctDNA levels in the majority of pts. Clinical trial information: NCT04466891 . HER2 IHC and ISH status among screened patients. IHC Status ISH Status Amplification n/N (%) Amplified Non-Amplified Total 0 12 330 342 12/342 (3.5) 1+ 8 94 102 8/102 (7.8) 2+ 34 167 201 34/201 (16.9) 3+ 104 7 111 104/111 (93.7) Total 158 598 756 158/756 (20.9)

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
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)0.0010.000

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 head0.042
GPT teacher head0.412
Teacher spread0.371 · 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 designNon-randomized trial
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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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