Spatial transcriptomics-guided pathology biomarker as a predictor of benefit of adjuvant docetaxel in high-risk localized prostate cancer: NRG/RTOG 0521 (NCT00288080).

M Md Mamunur Rahaman (School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia) A Amritpal Singh S Sebastian R. Medina (Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, GA) N Naoto Tokuyama (Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA) K Kamal Hammouda (Emory University, Atlanta, GA) P Pingfu Fu (6Case Western Reserve University, Cleveland, United States) H Howard M. Sandler (Cedars-Sinai Medical Center, Los Angeles, CA) R Rohann Jonathan Mark Correa (London Health Sciences Centre, London, ON, Canada) S Susan Chafe (Cross Cancer Institute, Edmonton, AB, Canada) A Amit I. Shah (WellSpan Health, York, PA) J Jason A. Efstathiou (Massachusetts General Hospital, Boston, MA) K Karen E. Hoffman (Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX) M Michael Wayne Straza (Medical College of Wisconsin, Milwaukee, WI) M Mark A. Hallman (Fox Chase Cancer Center, Philadelphia, PA) R Richard Jordan (NRG Oncology Biospecimen Bank, San Francisco, CA) E Ewan KA MIllar (Department of Anatomical Pathology, NSW Health Pathology, St. George Hospital, Syndey, NSW, Australia) E Erik Meijering S Stephanie L. Pugh (NRG Oncology, Philadelphia, PA) P Paul Nguyen (Department of Physics, University of Washington 2 , Seattle, Washington 98195,) A Anant Madabhushi

Abstract

5111 Background: The NRG/RTOG 0521 trial evaluated adding adjuvant docetaxel (DTX) to standard radiotherapy plus androgen deprivation therapy (ADT) in high-risk localized prostate cancer. Adjuvant DTX modestly improved overall survival (OS) in the trial, but the benefit was limited and not all patients benefited. Thus, biomarkers are needed to identify patients most likely to benefit from chemotherapy intensification. ST-DoxPCa (Spatial Transcriptomics–Guided Docetaxel Therapy Stratification in Prostate Cancer) is a novel artificial intelligence (AI) driven histology biomarker that predicts gene expression from H&E slides (virtual spatial transcriptomics). We assessed whether ST-DoxPCa can stratify patients in RTOG 0521 for differential benefit from adjuvant DTX. Methods: A Vision Transformer trained on paired histology–spatial transcriptomics (HEST1K) predicts a 208-gene prostate panel at spot level; predictions are distilled into a biologically informed 26-gene signature and aggregated into patient-level features. A prognostic Cox model and fixed median threshold were developed independently in a Cleveland Clinic radical prostatectomy cohort (CCF, n=352; endpoint: biochemical recurrence-free survival). This locked model and threshold were applied unchanged (no refitting or recalibration) to digitized pretreatment diagnostic biopsies from NRG/RTOG 0521 (n=350; RT+ADT n=169, RT+ADT+DTX n=181) to stratify patients into ST-DoxPCa-positive (high-risk) and ST-DoxPCa-negative (low-risk) groups. Overall survival (OS) was compared between treatment arms within each stratum. Results: ST-DoxPCa stratified patients into biomarker-defined risk groups using aggregated spatial-expression features from a biologically informed gene panel; key genes included PTEN, NKX3-1, ACPP, FASN and TMPRSS2. ST-DoxPCa-positive (high-risk) patients experienced a significant OS benefit from adding DTX to RT+ADT versus RT+ADT alone (HR=0.38, 95% CI 0.18–0.83; p=0.012), whereas ST-DoxPCa-negative (low-risk) patients derived no OS benefit (HR=1.05, 95% CI 0.67–1.63; p=0.84). Conclusions: The ST-DoxPCa model identified a subgroup with substantial OS benefit from adjuvant DTX and a subgroup with no benefit within RTOG 0521, supporting risk-aligned chemotherapy intensification using routine histology. Clinical trial information: NRG/RTOG 0521 ( NCT00288080 ) .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 5111-5111
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

M

Md Mamunur Rahaman

School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia

A

Amritpal Singh

S

Sebastian R. Medina

Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, GA

N

Naoto Tokuyama

Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University, Atlanta, GA

K

Kamal Hammouda

Emory University, Atlanta, GA

P

Pingfu Fu

6Case Western Reserve University, Cleveland, United States

H

Howard M. Sandler

Cedars-Sinai Medical Center, Los Angeles, CA

R

Rohann Jonathan Mark Correa

London Health Sciences Centre, London, ON, Canada

S

Susan Chafe

Cross Cancer Institute, Edmonton, AB, Canada

A

Amit I. Shah

WellSpan Health, York, PA

J

Jason A. Efstathiou

Massachusetts General Hospital, Boston, MA

K

Karen E. Hoffman

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX

M

Michael Wayne Straza

Medical College of Wisconsin, Milwaukee, WI

M

Mark A. Hallman

Fox Chase Cancer Center, Philadelphia, PA

R

Richard Jordan

NRG Oncology Biospecimen Bank, San Francisco, CA

E

Ewan KA MIllar

Department of Anatomical Pathology, NSW Health Pathology, St. George Hospital, Syndey, NSW, Australia

E

Erik Meijering

S

Stephanie L. Pugh

NRG Oncology, Philadelphia, PA

P

Paul Nguyen

Department of Physics, University of Washington 2 , Seattle, Washington 98195,

A

Anant Madabhushi