Computational pathology–based HER2 quantification to identify novel biomarkers in gastric cancer (GC).

Authors

null

Ansh Kapil

AstraZeneca Computational Pathology GmbH, Early Oncology Translational Medicine, Munich, Germany;

Ansh Kapil , Henrik Failmezger , Andreas Spitzmüller , Jessica Chan , Susanne Haneder , Anatoliy Shumilov , Alice Barkell , Toshihiro Oguma , Koichiro Inaki , Fumitaka Suto , John Allard , Jeeyun Lee , J Carl Barrett , Günter Schmidt , Hadassah Sade , Danielle Carroll , Fabiola Cecchi

Organizations

AstraZeneca Computational Pathology GmbH, Early Oncology Translational Medicine, Munich, Germany; , AstraZeneca Translational Medicine, Early Oncology, Cambridge, United Kingdom; , Daiichi Sankyo Inc., Tokyo, Japan; , Daiichi Sankyo Inc., Basking Ridge, NJ; , Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; , AstraZeneca, Waltham, MA; , AstraZeneca Translational Medicine, Early Oncology, Gaithersburg, MD;

Research Funding

Pharmaceutical/Biotech Company
This analysis is funded by AstraZeneca Pharmaceuticals in collaboration with Daiichi Sankyo. In March 2019, AstraZeneca entered into a global development and commercialization collaboration agreement with Daiichi Sankyo for trastuzumab deruxtecan (T-DXd;

Background: Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate (ADC) approved for treatment of HER2-positive GC/gastroesophageal junction adenocarcinoma (GEJA) after chemotherapy (Japan) and for advanced/metastatic GC/GEJA after a trastuzumab-containing regimen (US/Israel/Singapore). Conventional HER2 immunohistochemistry (IHC) scoring identifies potential responders to trastuzumab but may not be suitable for next-generation ADCs capable of bystander killing, such as T-DXd [Modi NEJM 2022]. Use of computational pathology–based tools enables precise and accurate quantification of HER2 expression and spatial analysis, which enables design of better scores to reflect the T-DXd mechanism of action. Methods: Quantitative continuous scoring (QCS) was performed to quantify HER2 expression and distribution per cell in digitized images of HER2-stained (IHC, Ventana 4B5) GC. A QCS-derived signature was identified, called the continuous spatial proximity score (cSPS), which considers spatial location of tumor cells in addition to HER2 expression level and can be used as a surrogate for potential bystander activity. We retrospectively stratified patients in DESTINY-Gastric01 (DG-01; NCT03329690; T-DXd arm: n=123a; standard of care [SOC] arm: n=59a) using cSPS to give a binary QCS biomarker positive (BM+) or negative (BM−) status. QCS cSPS signature was independently validated on the DESTINY-Gastric02 cohort (DG-02; NCT04014075; n=71a). Results: In the DG-01 cohort, enrolled per HER2-positive status by IHC using ASCO/CAP GC scoring guidelines, median progression-free survival (mPFS) was 5.5a mo with T-DXd and 2.8a mo with SOC. QCS-derived cSPS scores showed significant survival benefit for BM+ vs BM− in the DG-01 T-DXd arm (P<0.0001; HR=0.37 [0.24-0.58]) and longer mPFS for BM+ (8.3 mo) vs BM− (3.9 mo). Within the SOC arm, this signature showed the inverse prognosis (P=0.034; HR=2.17 [1.06-4.44]; mPFS, 2.8 mo for BM+ vs 4.9 mo for BM−), strongly suggesting the signature is predictive of T-DXd response. This signature was validated in the DG-02 cohort (mPFS, 5.5 mo on enrollment by IHC status, 10.1 mo for BM+ vs 3.7 mo for BM−; HR=0.24 [0.13-0.45]; P<0.0001). Conclusions: We established QCS, a novel scoring method for tissue biomarkers. Our validated data and results support possible future use of this quantitative approach against manual scoring for identification of patients with GC who may benefit from T-DXd therapy. Clinical trial information: NCT03329690, NCT04014075.

Study results.

DG-01DG-02
mPFS by manual IHC scoring, T-DXd, mo5.5, n=1235.5, n=71
mPFS by manual IHC scoring, SOC, mo2.8, n=59NA
BM+ mPFS, T-DXd, mo8.3, n=7310.1, n=45
BM− mPFS, T-DXd, mo3.9, n=503.7, n=26
BM+ mPFS, SOC, mo2.8, n=33NA
BM− mPFS, SOC, mo4.9, n=26NA
HR (95% CI), T-DXd: BM+ vs BM−0.37 (0.24-0.58)0.24 (0.13-0.45)
HR (95% CI), SOC: BM+ vs BM−2.17 (1.06-4.44)NA

NA, not applicable. a Results reported for a subset with available digital images.

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Abstract Details

Meeting

2023 ASCO Gastrointestinal Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Cancers of the Esophagus and Stomach and Other GI Cancers

Track

Esophageal and Gastric Cancer,Other GI Cancer

Sub Track

Tumor Biology, Biomarkers, and Pathology

Clinical Trial Registration Number

NCT03329690, NCT04014075

Citation

J Clin Oncol 41, 2023 (suppl 4; abstr 449)

DOI

10.1200/JCO.2023.41.4_suppl.449

Abstract #

449

Poster Bd #

K15

Abstract Disclosures