Clinically actionable TURBT-derived bladder cancer organoid pharmacotyping as a predictor of postoperative outcomes in a prospective multicenter study.

Y Yihao Zhao (State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering) S Shijie Zhang (State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China) X Xiaoyi Zhang Y Yiming Wang Z Zhe Shen (Department of Neurobiology, School of Biological Sciences, University of California) J Junchao Feng (Shandong Engineering Research Center of Bacterial Anti-tumor Drugs and Cell Therapy, Shandong Xinchuang Biotechnology Co., Ltd., Jinan, Shandong, China) J Jiaorui Zou (Shandong Engineering Research Center of Bacterial Anti-tumor Drugs and Cell Therapy, Shandong Xinchuang Biotechnology Co., Ltd., Jinan, Shandong, China) J Jiqian Hou (Shandong Engineering Research Center of Bacterial Anti-tumor Drugs and Cell Therapy, Shandong Xinchuang Biotechnology Co., Ltd., Jinan, Shandong, China) Z Zhongze Zhou (Department of Urology, Second Hospital of Lanzhou University, Lanzhou, Gansu, China) N Na Yu (State Key Laboratory of Quantum Functional Materials, School of Physical Science and Technology) S Sifeng Qu J Jun Chen

Abstract

e16613 Background: Post-TURBT chemotherapy is largely empiric despite marked inter-patient heterogeneity in bladder cancer drug sensitivity. We evaluated a multicenter TURBT-derived PDO pharmacotyping workflow and its concordance with postoperative outcomes. Methods: In a prospective multicenter study (NCT06662071), TURBT bladder cancer specimens were used to generate patient-derived organoids (PDOs), with histologic fidelity assessed by H&E and immunohistochemistry (CK5/6, CK7, CK20, Ki-67, p53, p63). PDOs underwent 3D drug testing (serial dilutions; 72-hour exposure) across eight clinically used agents/regimens; viability (CellTiter-Glo 3D) was used to derive IC50 and nAUC (plus viability at Cmax). Six response-classification strategies (Jenks vs tertiles × IC50/nAUC/Cmax viability) were compared, and concordance with postoperative chemotherapy outcomes (recurrence/progression on surveillance follow-up) was summarized by specificity and accuracy. Results: From 4 centers, 63 TURBT specimens yielded 41 PDO lines from 37 patients (65.1% success). Successful establishment correlated with higher post-digestion viability (p < 0.01) and cell yield (p < 0.05). Drug profiling was completed in 35/41 lines (85.4%). IC50 values spanned submicromolar medians for anthracyclines/pirarubicin (pirarubicin 0.080 µM; doxorubicin 0.540 µM; epirubicin 0.508 µM) to higher micromolar medians for platinum/antimetabolites (cisplatin 20.245 µM; gemcitabine 16.913 µM; methotrexate 61.205 µM), with gemcitabine showing the widest range (0.004–369.500 µM). Of six strategies, IC50-based Jenks natural breaks (Sensitive/Intermediate/Resistant) best matched clinical outcomes (specificity 0.933; accuracy 0.882). Clinical concordance was assessed in 15 treated patients (17 PDO–patient pairs); 2/15 (13.3%) recurred/progressed. Illustrative concordant cases included pirarubicin sensitivity (IC50 0.12 µM) with recurrence-free follow-up and gemcitabine resistance (IC50 227.7 µM) with early recurrence/progression after GC-based management. Conclusions: This multicenter TURBT-derived bladder cancer PDO study establishes a clinically actionable pharmacotyping workflow. PDOs can be generated from routine specimens, capture marked inter-patient drug-response heterogeneity, and provide drug-specific sensitivity tiers that align with postoperative outcomes with high specificity for identifying potentially ineffective therapy. These data support prospective validation of PDO-guided regimen selection to reduce futile treatment and individualize postoperative bladder cancer care.

Article Details

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

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (12)

Y

Yihao Zhao

State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering

S

Shijie Zhang

State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China

X

Xiaoyi Zhang

Y

Yiming Wang

Z

Zhe Shen

Department of Neurobiology, School of Biological Sciences, University of California

J

Junchao Feng

Shandong Engineering Research Center of Bacterial Anti-tumor Drugs and Cell Therapy, Shandong Xinchuang Biotechnology Co., Ltd., Jinan, Shandong, China

J

Jiaorui Zou

Shandong Engineering Research Center of Bacterial Anti-tumor Drugs and Cell Therapy, Shandong Xinchuang Biotechnology Co., Ltd., Jinan, Shandong, China

J

Jiqian Hou

Shandong Engineering Research Center of Bacterial Anti-tumor Drugs and Cell Therapy, Shandong Xinchuang Biotechnology Co., Ltd., Jinan, Shandong, China

Z

Zhongze Zhou

Department of Urology, Second Hospital of Lanzhou University, Lanzhou, Gansu, China

N

Na Yu

State Key Laboratory of Quantum Functional Materials, School of Physical Science and Technology

S

Sifeng Qu

J

Jun Chen