Artificial intelligence–powered spatial analysis of endothelial cells and tumor-infiltrating lymphocytes to predict response to axitinib in adenoid cystic carcinoma.

D Dong Hyun Kim (Department of Chemistry) W Woochan Hwang (7Lunit Inc., Seoul, Korea) S Seungeun Lee Y Yoojoo Lim (Lunit Inc., Seoul, South Korea) S Siraj Mahamed Ali (Lunit Inc., Seoul, South Korea) E Eun Joo Kang (Division of Hematology/Oncology, Department of Internal Medicine Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea) M Myung-Ju Ahn (Department of Hematology and Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea) K Keun-Wook Lee (Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea) J Jung Hye Kwon (Division of Hemato-oncology, Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, South Korea) Y Yaewon Yang (Department of Internal Medicine, Chungbuk Univeristy Hospital, Chungbuk University College of Medicine, Cheongju, South Korea) Y Yoon Hee Choi M Min Kyoung Kim J Jun Ho Ji (Division of Hematology-Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea) T Tak Yun (Center for Rare Cancers, National Cancer Center, Goyang, South Korea) S Sung-Bae Kim (Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea) B Bhumsuk Keam (Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea)

Abstract

6122 Background: Despite the limited systemic options for adenoid cystic carcinoma (ACC), VEGFR inhibitors remain a clinical mainstay. Although high stromal tumor-infiltrating lymphocyte (TIL) density has been identified as a predictive biomarker for improved progression-free survival (PFS), its predictive power remains to be fully optimized. We hypothesized that baseline vascular architecture, represented by endothelial cell (EC) density, might modulate the efficacy of axitinib. Methods: We performed a post-hoc exploratory analysis on H&E-stained whole-slide images (WSI) from 27 patients with R/M ACC treated with axitinib in a multicenter phase II trial (NCT02859012). An updated AI-powered analyzer (Lunit SCOPE IO), capable of multiple component TME profiling, was used to quantify the density (cells/mm²) of TILs and ECs within the tumor epithelium and stroma. Patients were stratified into subgroups based on the median values. The clinical impact of integrated immune and vascular architecture was evaluated by analyzing PFS and OS. Results: The analyzed cohort (N=27) had a best objective response of stable disease in 25 patients (92.6%) while 16 patients showed tumor shrinkage (59.3%). Stratification revealed that patients with concurrent High EC and High TIL density in the tumor stroma (n=9) derived exceptional clinical benefit compared to all other patients (N=18). The High EC/High TIL subgroup achieved a median PFS of 19.6 months compared to 11.1 months in the comparator group (HR 0.30; 95% CI: 0.11–0.87; P=0.026). Furthermore, this subgroup demonstrated significantly prolonged OS (median NR vs. 24.4 months; HR 0.12; 95% CI: 0.02–0.95; P=0.044). Stratification based on intratumoral densities of EC and TILs showed a similar trend with the High EC/High TIL subgroup (n=10) reporting prolonged PFS (HR 0.32; 95% CI: 0.12-0.87; P=0.025) but not OS (HR 0.46; 95% CI: 0.12-1.74; P=0.251). The individual biomarkers based on median TIL and EC showed a trend towards prolonged survival but were not statistically significant. Conclusions: The co-enrichment of stromal ECs and TIL is associated with significantly prolonged PFS and OS, suggesting that this unique TME architecture may identify R/M ACC patients who derive greater clinical benefit from axitinib. This AI-based spatial analysis using H&E slides offers a practical, scalable biomarker strategy to guide treatment selection in this rare cancer.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 6122-6122
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (16)

D

Dong Hyun Kim

Department of Chemistry

W

Woochan Hwang

7Lunit Inc., Seoul, Korea

S

Seungeun Lee

Y

Yoojoo Lim

Lunit Inc., Seoul, South Korea

S

Siraj Mahamed Ali

Lunit Inc., Seoul, South Korea

E

Eun Joo Kang

Division of Hematology/Oncology, Department of Internal Medicine Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea

M

Myung-Ju Ahn

Department of Hematology and Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea

K

Keun-Wook Lee

Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea

J

Jung Hye Kwon

Division of Hemato-oncology, Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, South Korea

Y

Yaewon Yang

Department of Internal Medicine, Chungbuk Univeristy Hospital, Chungbuk University College of Medicine, Cheongju, South Korea

Y

Yoon Hee Choi

M

Min Kyoung Kim

J

Jun Ho Ji

Division of Hematology-Oncology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, South Korea

T

Tak Yun

Center for Rare Cancers, National Cancer Center, Goyang, South Korea

S

Sung-Bae Kim

Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea

B

Bhumsuk Keam

Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea