Impact of AI-guided multi-analyte precision oncology–based platform on clinical outcomes in treatment-refractory pan-cancer patients.

S Sewanti Atul Limaye (Medical & Precision Oncology, Clinical and Translational Oncology Research, Sir HN Reliance Foundation, Mumbai, India) P Prashant Agrawal A Aditya V. Shreenivas (City of Hope National Medical Center, Duarte, CA) V Vineet Datta (Datar Cancer Genetics, Nashik, India) D Darshana Suresh Patil (Datar Cancer Genetics, Nashik, India) D Dadasaheb B. Akolkar (Datar Cancer Genetics Limited, Nashik, India) P Pritam Kataria (Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India) D Darshit Kalpeshkumar Shah (Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India) R Rajas Patel (RH Clinic, Navi Mumbai, India) N Niyati Krunal Shah (Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India) I Irene A. George (Datar Cancer Genetics, Nashik, India) J Janani Sambath (Institute of Bioinformatics, Bangalore, India) A Anjali Parab (Sir H N Reliance Foundation Hospital at Research Centre, Mumbai, Maharashtra, India) S Shambhavi Singh (2Massachusetts General Hospital, Boston, United States) C Chetan Madre (Sir H N Reliance Foundation Hospital and Research Centre, Mumbai, India) R Ruturaj Deshpande (Sir H N Reliance Foundation Hospital and Research Centre, Mumbai, India) S Stefan Schuster (Datar Cancer Genetics Europe GmbH, Bayreuth, Germany) R Rajan Datar (Datar Cancer Genetics, Nashik, India) T Timothy Crook (Cromwell, London, United Kingdom) R Razelle Kurzrock (Division of Hematology and Medical Oncology Medical College of Wisconsin Cancer Center Milwaukee Wisconsin USA)

Abstract

e15121 Background: Refractory solid tumors exhibit profound molecular and functional heterogeneity, frequently requiring repeated treatment modifications after failure of standard therapies. Single-parameter testing is insufficient to guide such iterative decision-making. Comprehensive, integrated tumor profiling may enable rational, personalized treatment iterations and sustain clinical benefit across successive lines of therapy. Methods: Patients with refractory solid tumors underwent integrated EXACTA profiling encompassing genomic alterations, gene expression, immunohistochemistry, immune biomarkers, and in-vitro chemosensitivity assays. Actionable alterations and targetable pathways were identified to guide personalized therapy across successive lines. Progression-free survival (PFS) was assessed for each EXACTA-guided line. PFS ratios (PFSr) were calculated relative to the immediately preceding line, with modified PFSr (mPFSr) applied to adjust for potential false-positive and false-negative signals. The best mPFSr per patient was used to assess clinical benefit from iterative EXACTA-guided therapy. Results: EXACTA based profiling identified a highly heterogeneous yet clinically actionable genomic landscape, with recurrent alterations in PIK3CA , EGFR , ERBB2 , KRAS , BRAF , CCND1 , and BRCA2 supporting precision-guided therapy. PD-L1-stratified analysis revealed enrichment of truncating APC mutations in PD-L1-positive tumors, whereas CTNNB1 alterations were confined to PD-L1-negative tumors. Sequential EXACTA-guided therapies derived from a single comprehensive profiling event resulted in clinically meaningful benefit across multiple treatment lines. Based on best modified progression-free survival ratios (mPFSr) achieved per patient, 60.74% of patients demonstrated mPFSr > 1.5, 68.14% achieved mPFSr > 1.3, and 68.8% achieved mPFSr > 1.25. Line-wise distributions of mPFSr, including the proportion of patients achieving mPFSr > 1.3 at each EXACTA-guided treatment line, are summarized in the Table 1. Conclusions: Integrated EXACTA profiling revealed distinct tumor biology and enabled optimized treatment strategies. Mutual exclusivity of CTNNB1 alterations in PD-L1–negative tumors and enrichment of truncating APC mutations support β-catenin–TCF4–mediated PD-L1 regulation. In refractory solid tumors, a single EXACTA profiling enabled iterative, biology-guided therapy with sustained benefit. PFS ratio gains beyond the first EXACTA-guided line demonstrate the durable clinical utility of integrated profiling, supporting improved outcomes despite disease progression. Durability of Clinical Benefit Across EXACTA-Guided Lines. mPFSr from Exacta Lines >1.5 >1.3 >1.25 L2/L1 30.43% 39.13% 39.13% L3/L2 22.22% 25.92% 22.22% L4/L3 50% 50% 50%

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 (20)

S

Sewanti Atul Limaye

Medical & Precision Oncology, Clinical and Translational Oncology Research, Sir HN Reliance Foundation, Mumbai, India

P

Prashant Agrawal

A

Aditya V. Shreenivas

City of Hope National Medical Center, Duarte, CA

V

Vineet Datta

Datar Cancer Genetics, Nashik, India

D

Darshana Suresh Patil

Datar Cancer Genetics, Nashik, India

D

Dadasaheb B. Akolkar

Datar Cancer Genetics Limited, Nashik, India

P

Pritam Kataria

Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India

D

Darshit Kalpeshkumar Shah

Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India

R

Rajas Patel

RH Clinic, Navi Mumbai, India

N

Niyati Krunal Shah

Sir H. N. Reliance Foundation Hospital and Research Centre, Mumbai, India

I

Irene A. George

Datar Cancer Genetics, Nashik, India

J

Janani Sambath

Institute of Bioinformatics, Bangalore, India

A

Anjali Parab

Sir H N Reliance Foundation Hospital at Research Centre, Mumbai, Maharashtra, India

S

Shambhavi Singh

2Massachusetts General Hospital, Boston, United States

C

Chetan Madre

Sir H N Reliance Foundation Hospital and Research Centre, Mumbai, India

R

Ruturaj Deshpande

Sir H N Reliance Foundation Hospital and Research Centre, Mumbai, India

S

Stefan Schuster

Datar Cancer Genetics Europe GmbH, Bayreuth, Germany

R

Rajan Datar

Datar Cancer Genetics, Nashik, India

T

Timothy Crook

Cromwell, London, United Kingdom

R

Razelle Kurzrock

Division of Hematology and Medical Oncology Medical College of Wisconsin Cancer Center Milwaukee Wisconsin USA