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

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.

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Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.6122
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

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

Woochan Hwang, Yoojoo Lim, Yoon Hee Choi, Jun Ho Ji et al.
Journal of Clinical Oncology
Inflammatory Biomarkers in Disease Prognosis
article

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

Woochan Hwang, Yoojoo Lim, Yoon Hee Choi, Jun Ho Ji, Jung Hye Kwon, S Kim, Bhumsuk Keam, Tak Yun, Yaewon Yang, Siraj M. Ali, E Kang, Keun-Wook Lee, Min Kyoung Kim, Dong Hyun Kim, Seungeun Lee, Myung-Ju Ahn
article en

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.

Journal of Clinical OncologyVol. 44(16_suppl)
Ulsan College (KR), Korea University Medical Center (KR), Asan Medical Center (KR), Samsung Medical Center (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), University of Ulsan (KR), National Cancer Center (KR), Dongnam Institute of Radiological & Medical Sciences (KR), Yeungnam University Medical Center (KR), Chung-Ang University Hospital (KR), Yeungnam University College, Sungkyunkwan University (KR)
Openalex Percentile: Top 10%
Inflammatory Biomarkers in Disease Prognosis
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