ELEPHAS-01, ELEPHAS-02 and ELEPHAS-04: Multi-institutional observational prospective clinical trials to assess the accuracy of an ex vivo live tumor fragment platform for predicting immunotherapy response.

H Hinco J. Gierman (Elephas, Madison, WI) H Hilary Hernan (Elephas, Madison, WI) V Veronica (Ming) Wang (Elephas, Madison, WI) C Catarina Costa (Elephas, Madison, WI) J Jackie Derrick (Elephas, Madison, WI) R Rebecca Tarlazzi (Elephas, Madison, WI) A Ann C. Leonard (Elephas, Madison, WI) M Michael Korrer (Elephas, Madison, WI) L Laura Hrycyniak (Elephas, Madison, WI) S Sean Caenepeel (Amgen Research) T Tarun Chandra (EmpiriQA LLC, Long Grove, IL) T Timothy Ziemlewicz (University of Wisconsin Hospital and Clinics, Madison, WI) S Sam Joseph Lubner (University of Wisconsin, Madison, WI) N Nima Kokabi (The University of North Carolina at Chapel Hill, Chapel Hill, NC) G Giuseppe Vincenzo Toia (University of Wisconsin System, Madison, WI) D Debabrata Mukhopadhyay P Pooja Prem Advani (Department of Medical Oncology, Mayo Clinic Florida, Jacksonville, FL)

Abstract

TPS2689 Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment. However, existing FDA approved companion diagnostic biomarkers like PD-L1, dMMR/MSI-H and TMB have low accuracy in predicting response. Ex vivo cytokine profiling of live tumor samples has shown promise as an improved means of predicting response to PD-1 blockade (Voabil, et al. Nat Med. 2021), but this approach has been limited to tumor resections given the need for large amounts of tissue. Here we present three clinical trials that leverage a novel approach using limited tissue from a single core needle biopsy (CNB) (20 gauge or larger). A sequential ex vivo treatment strategy is used, eliminating the need for a separate control arm and addressing challenges with tumor heterogeneity, particularly in CNBs where tissue is limiting. Using a specialized instrument, CNBs are cut into live tumor fragments (LTFs) which are viable in culture and retain the native tumor microenvironment, enabling cytokine profiling in response to ICI treatment ex vivo. Methods: ELEPHAS-01 (NCT05478538), ELEPHAS-02 (NCT05520099) and ELEPHAS-04 (NCT06349642) are observational prospective clinical trials initiated to characterize the accuracy of this approach for predicting ICI response. Over 750 patients that are being considered for standard of care (SOC) ICI therapy in the metastatic/relapse or neoadjuvant setting will be enrolled (Table). Fresh live CNBs are collected prior to treatment start and processed within 24 hrs enabling prediction of results within 72 hrs of receipt. LTFs are treated using a strategy where control (IgG) and SOC ICI treatments are performed sequentially on the same tissue in a single well. Changes in the cytokine secretion rates are then compared between ICI and control to characterize immunotherapy response. Additionally, tissue viability and tumor content measurements are used to assess tissue quality. Clinical response is measured using pathologic response in patients receiving neoadjuvant ICI therapy, while RECIST v1.1 is used in all other patients. The primary objective of these trials is to determine the platform’s ex vivo accuracy (e.g., sensitivity, specificity) for predicting clinical response to ICIs and comparing it to the accuracy of PD-L1, dMMR/MSI-H and TMB. Clinical trial information: NCT06349642 , NCT05478538 , NCT05520099 . ELEPHAS-01 (Lung) ELEPHAS-02 (Hoosier) ELEPHAS-04 (Mayo) Setting Metastatic & recurrent Metastatic & recurrent Metastatic, recurrent & neoadjuvant Tumor type Lung Bladder, kidney, colorectal, head and neck, lung, melanoma, endometrial Metastatic/recurrent: lung, skin, esophageal, cervical, endometrial, colon, liver, kidney, bladder Neoadjuvant: breast–TNBC, lung Enrollment as of 1/27/2025 26 44 20 Est. total enrollment 216 216 324 Clinical endpoints RECIST v1.1 RECIST v1.1 RECIST v1.1 & Pathologic response at surgery

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (17)

H

Hinco J. Gierman

Elephas, Madison, WI

H

Hilary Hernan

Elephas, Madison, WI

V

Veronica (Ming) Wang

Elephas, Madison, WI

C

Catarina Costa

Elephas, Madison, WI

J

Jackie Derrick

Elephas, Madison, WI

R

Rebecca Tarlazzi

Elephas, Madison, WI

A

Ann C. Leonard

Elephas, Madison, WI

M

Michael Korrer

Elephas, Madison, WI

L

Laura Hrycyniak

Elephas, Madison, WI

S

Sean Caenepeel

Amgen Research

T

Tarun Chandra

EmpiriQA LLC, Long Grove, IL

T

Timothy Ziemlewicz

University of Wisconsin Hospital and Clinics, Madison, WI

S

Sam Joseph Lubner

University of Wisconsin, Madison, WI

N

Nima Kokabi

The University of North Carolina at Chapel Hill, Chapel Hill, NC

G

Giuseppe Vincenzo Toia

University of Wisconsin System, Madison, WI

D

Debabrata Mukhopadhyay

P

Pooja Prem Advani

Department of Medical Oncology, Mayo Clinic Florida, Jacksonville, FL