Comprehensive genomic profiling to identify molecular determinants of efficacy of IDH1 inhibition in intrahepatic cholangiocarcinoma.

4147 Background: Ivosidenib (IVO) in IDH1 -mutant iCCA yields modest mPFS (2.7 m) with heterogenous responses. Molecular features driving this variability remain undefined. We sought to identify determinants of therapeutic efficacy via comprehensive analyses of co-occurring genomic alterations and oncogenic pathway activation. Methods: We analyzed 93 IDH1 -mutant iCCA cases (MD Anderson n=59, Moffitt n=23, Yonsei n=11) treated with IVO (n=78), IDH305 (n=15). We stratified patients (pts) into 3 groups based on co-occurring alterations: EC (Epigenetic/Chromatin remodeling: BAP1/ARID1A/PBRM1), PMF (Proliferative/Mitogenic signaling: PI3K/MAPK/FGFR), ACT (Amplified cyclins/CDKN2A-B/TP53), yielding 4 groups: G1 (EC-intact/low-oncogenic: EC+/PMF-/ACT-), G2 (signaling-driven: EC+/PMF+), G3 (cell-cycle-deregulated: EC+/ACT+), and G4 (EC-deficient: EC-). Cox models assessed group-specific treatment effects; TME characterization utilized 29 mRNA gene signatures (Bagaev, Cancer Cell 2021) (n=31) and paired pre/post-progression biopsies (n=4). Results: Survival analysis (n=93) revealed distinct stratification (p<0.0001): G1, the longest mPFS (11.4 m), significantly superior to G4 (3.5 m) and G3 (1.8 m). G1 had superior durability (12-m PFS 46.5%) over G2 and G4 (23.9%, 14.6%); G3 progressed rapidly (6-m 0%). G3 outcomes suggest that ACT co-mutations confer poor prognosis regardless of epigenetic context (HR 6.85, P=0.004). Transcriptomic analysis identified G1 as "inflamed-suppressed" (highest angiogenesis/Treg); G4 was "proliferative-inflammatory" (highest M1-macrophage/Ki67, p=0.04). Paired longitudinal analysis (n=4) identified genomic bypass via acquired kinase drivers (eg, NTRK1 amplification) and stromal adaptation with dense fibrotic remodeling. Radiographic hyperprogression on IVO (Kato criteria) was observed in 2 pts in G3 harboring CDKN2A loss. Conclusions: Co-occurring genomic alterations may serve as prognostic markers in IDH1 -mutant iCCA, suggesting distinct trajectories of response and resistance to IDH1 inhibition. This molecular classification could guide clinical decision-making by identifying pts likely to benefit from monotherapy vs pts requiring combination strategies to overcome intrinsic resistance. G1 G2 G3 G4 EC+ / PMF- / ACT- EC+ / PMF+ EC+ / ACT+ EC- N (%) 28 (30%) 19 (20%) 5 (5%) 41 (44%) mPFS (95% CI) 11.4 mo (6.2-NR) 5.6 mo (3.7-9.2) 1.8 mo (0.9-3.5) 3.5 mo (2.1-5.8) 3-M Rate 80.9% (66.3-95.5) 88.9% (74.8-100) 20.0% (0.0-55.1) 59.5% (44.5-74.5) 6-M Rate 72.4% (55.8-89.0) 47.9% (25.4-70.4) 0.0% (0.0-0.0) 23.4% (10.4-36.4) 12-M Rate 46.5% (28.0-65.0) 23.9% (4.7-43.1) 0.0% (0.0-0.0) 14.6% (3.8-25.4) Hazard Ratio Reference (1.0) 2.15 (p=0.03) 6.85 (p=0.004) 2.94 (p=0.002) TME Phenotype Angiogenesis / Treg-High Fibrotic (CAF-High) Senescent / Dormant Proliferative / M1-High

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Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.4147
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
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article
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article

Comprehensive genomic profiling to identify molecular determinants of efficacy of IDH1 inhibition in intrahepatic cholangiocarcinoma.

Richard D. Kim, Nikolas Naleid, Monica Hsiang, Madhulika Eluri et al.
Journal of Clinical Oncology
Cholangiocarcinoma and Gallbladder Cancer Studies
article

Comprehensive genomic profiling to identify molecular determinants of efficacy of IDH1 inhibition in intrahepatic cholangiocarcinoma.

Richard D. Kim, Nikolas Naleid, Monica Hsiang, Madhulika Eluri, Mohamed Nuh, James Yu, Lawrence Kwong, Nang Si Won Yone, Zishuo Ian Hu, Felicity David, Akhila Madulapalli Reddy, Choong-kun Lee, Quentin Kimana, Sunyoung S. Lee, Shubham Pant, Funda Meric-Bernstam, Dong Hyun Seo, Milind M. Javle
article en

Abstract

4147 Background: Ivosidenib (IVO) in IDH1 -mutant iCCA yields modest mPFS (2.7 m) with heterogenous responses. Molecular features driving this variability remain undefined. We sought to identify determinants of therapeutic efficacy via comprehensive analyses of co-occurring genomic alterations and oncogenic pathway activation. Methods: We analyzed 93 IDH1 -mutant iCCA cases (MD Anderson n=59, Moffitt n=23, Yonsei n=11) treated with IVO (n=78), IDH305 (n=15). We stratified patients (pts) into 3 groups based on co-occurring alterations: EC (Epigenetic/Chromatin remodeling: BAP1/ARID1A/PBRM1), PMF (Proliferative/Mitogenic signaling: PI3K/MAPK/FGFR), ACT (Amplified cyclins/CDKN2A-B/TP53), yielding 4 groups: G1 (EC-intact/low-oncogenic: EC+/PMF-/ACT-), G2 (signaling-driven: EC+/PMF+), G3 (cell-cycle-deregulated: EC+/ACT+), and G4 (EC-deficient: EC-). Cox models assessed group-specific treatment effects; TME characterization utilized 29 mRNA gene signatures (Bagaev, Cancer Cell 2021) (n=31) and paired pre/post-progression biopsies (n=4). Results: Survival analysis (n=93) revealed distinct stratification (p<0.0001): G1, the longest mPFS (11.4 m), significantly superior to G4 (3.5 m) and G3 (1.8 m). G1 had superior durability (12-m PFS 46.5%) over G2 and G4 (23.9%, 14.6%); G3 progressed rapidly (6-m 0%). G3 outcomes suggest that ACT co-mutations confer poor prognosis regardless of epigenetic context (HR 6.85, P=0.004). Transcriptomic analysis identified G1 as "inflamed-suppressed" (highest angiogenesis/Treg); G4 was "proliferative-inflammatory" (highest M1-macrophage/Ki67, p=0.04). Paired longitudinal analysis (n=4) identified genomic bypass via acquired kinase drivers (eg, NTRK1 amplification) and stromal adaptation with dense fibrotic remodeling. Radiographic hyperprogression on IVO (Kato criteria) was observed in 2 pts in G3 harboring CDKN2A loss. Conclusions: Co-occurring genomic alterations may serve as prognostic markers in IDH1 -mutant iCCA, suggesting distinct trajectories of response and resistance to IDH1 inhibition. This molecular classification could guide clinical decision-making by identifying pts likely to benefit from monotherapy vs pts requiring combination strategies to overcome intrinsic resistance. G1 G2 G3 G4 EC+ / PMF- / ACT- EC+ / PMF+ EC+ / ACT+ EC- N (%) 28 (30%) 19 (20%) 5 (5%) 41 (44%) mPFS (95% CI) 11.4 mo (6.2-NR) 5.6 mo (3.7-9.2) 1.8 mo (0.9-3.5) 3.5 mo (2.1-5.8) 3-M Rate 80.9% (66.3-95.5) 88.9% (74.8-100) 20.0% (0.0-55.1) 59.5% (44.5-74.5) 6-M Rate 72.4% (55.8-89.0) 47.9% (25.4-70.4) 0.0% (0.0-0.0) 23.4% (10.4-36.4) 12-M Rate 46.5% (28.0-65.0) 23.9% (4.7-43.1) 0.0% (0.0-0.0) 14.6% (3.8-25.4) Hazard Ratio Reference (1.0) 2.15 (p=0.03) 6.85 (p=0.004) 2.94 (p=0.002) TME Phenotype Angiogenesis / Treg-High Fibrotic (CAF-High) Senescent / Dormant Proliferative / M1-High

Journal of Clinical OncologyVol. 44(16_suppl)
The University of Texas MD Anderson Cancer Center (US), Baylor College of Medicine (US), Yonsei University (KR), Moffitt Cancer Center (US)
No poverty
Openalex Percentile: Top 5%
Cholangiocarcinoma and Gallbladder Cancer Studies
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