Intrapatient comparative efficacy of selective RET inhibitors using growth modulation index in patients with RET aberrant cancers.

Authors

Mohamed Gouda

Mohamed Alaa Gouda

The University of Texas MD Anderson Cancer Center, Houston, TX

Mohamed Alaa Gouda , Jibran Ahmed , Blessie Elizabeth Nelson , Mirella Nardo , Jason Roszik , Maria E. Cabanillas , Mimi I-Nan Hu , Naifa Lamki Busaidy , Steven I. Sherman , Ramona Dadu , Aung Naing , Daniel D. Karp , Jordi Rodon Ahnert , David S. Hong , Yasir Y Elamin , George R. Blumenschein , John Heymach , Funda Meric-Bernstam , Vivek Subbiah

Organizations

The University of Texas MD Anderson Cancer Center, Houston, TX, University of Texas MD Anderson Cancer Center, Houston, TX, Department of Thoracic Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX

Research Funding

Pharmaceutical/Biotech Company
N/A

Background: Selective RET inhibitors (RETi) have changed the paradigm for treatment of RET altered cancers. Current evidence on their efficacy comes from single-arm basket trials. In this study, we performed intrapatient efficacy comparison between approved selective RETi (selpercatinib and pralsetinib) and prior and/or subsequent therapies. We used growth modulation index (GMI) as a tool to compare efficacy, where a value of >1.33 is presumed a cutoff to establish superior efficacy. Methods: We included patients with RET-positive tumors who were treated at our institution as part of RETi clinical trials. We excluded patients with no other systemic therapy received before or after the RETi of interest. We also excluded patients who received both drugs to avoid overlapping efficacy bias, and patients who were treated for ≤ 30 days or had non-evaluable disease. Since some patients have been treated beyond progression or discontinued RETi due to intolerance, we used ratios for both time to treatment takeoff (TTT) and time to progression (TTP) to compare efficacy of RETi (at the RETi treatment line (n)) to prior therapy (n-1) and to subsequent therapy (n+1). GMI was defined as the ratio between TTT/TTT (n±1) or TTP to TTP (n±1). Results: We included 66 patients who received RETi and met our inclusion criteria [39 received selpercatinib and 27 received pralsetinib]. Most patients had GMI>1.33 using either TTT or TTP (61% (n=40) and 58% (n=38), respectively). The median GMI based on pre-RETi therapy was 2.1 and 1.6 (using TTT and TTP, respectively); while the median GMI based on post-RETi therapy was 4.9 and 4.4 (using TTT and TTP, respectively). Patients with GMI>1.33 were more likely to have PR as best response compared to patients with GMI<1.33 (85% vs 53%, p=0.005 using TTT; and 87% vs 54%, p=0.003 using TTP). GMI using TTT (n/n-1) was higher in patients with RET fusions compared to patients with RET mutations (3.7 vs 1.4, p=0.048). GMI using TTT and GMI using TTP(n/n+1) were lower in patients with WBCs <8 at baseline (2.6 vs 13.8, p=0.014; 2.6 vs 11.1, p=0.014; for TTT and TTP) and GI cancer diagnosis (0.4 vs 9.3, p=0.042; 0.4 vs 10.4, p=0.042; for TTT and TTP). Conclusions: Intrapatient efficacy comparisons are feasible using GMI calculations and provide a proof of concept on the favorability of selective RETi compared to other systemic therapies.

n/n-1n/n+1n/(n-1 OR n+1) *
All PatientsNumber of patients581566
GMI using TTT (median, IQR)2.1 (4.3)8.9 (12.7)2.5 (6.2)
GMI using TTP (median, IQR)1.6 (4.4)8 (29.5)2.4 (5.5)
PralsetinibNumber of patients24727
GMI using TTT (median, IQR)2.5 (7)8.9 (13.9)2.6 (8.6)
GMI using TTP (median, IQR)2.4 (4.3)8 (10.8)2.4 (7.2)
SelpercatinibNumber of patients34839
GMI using TTT (median, IQR)1.5 (4.4)8.9 (16.8)2.4 (5.8)
GMI using TTP (median, IQR)1.31 (4.5)10.6 (16.3)1.9 (5.2)

* Compared to whichever line had better TTT and TTP.

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Developmental Therapeutics—Molecularly Targeted Agents and Tumor Biology

Track

Developmental Therapeutics—Molecularly Targeted Agents and Tumor Biology

Sub Track

New Targets and New Technologies (non-IO)

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 3086)

DOI

10.1200/JCO.2023.41.16_suppl.3086

Abstract #

3086

Poster Bd #

284

Abstract Disclosures

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