<i>TP53</i> status and licensing complex/IFNγ transcriptional profiles to stratify endocrine-related outcomes with CDK4/6i exposure in 10,833 real-world ER+/HER2- breast cancers and a treatment-naïve subset.

A Alekya Raghavan (Baylor College of Medicine, Houston, TX) R Rosemary N. Plagens (Caris Life Sciences, Irving, TX) C Cynthia X. Ma J Jason D. Weber A Alexander Mabry (Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO) S Stephanie L. Graff (Brown University Health Cancer Institute, The Warren Alpert Medical School of Brown University, Providence, RI) M Maryam B. Lustberg (Yale Cancer Center, Yale School of Medicine, New Haven, CT) A Andrew Elliott G George W. Sledge C C. Kent Osborne (Lester and Sue Smith Breast Center, Baylor College of Medicine) M Mothaffar Rimawi (Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX) A Ahmed Elkhanany R Rachel Schiff (Baylor College of Medicine, Houston, TX)

Abstract

1032 Background: Endocrine therapy (ET) durability for ER+/HER2- breast cancer (BC) with CDK4/6 inhibitor (CDK4/6i) exposure is vastly heterogeneous. Aberrant activation of CDK4/6-Rb axis is mechanistically linked to DNA replication origin licensing programs, and IFNγ-mediated signaling has been observed at onset of CDK4/6i resistance (PMID 33536276). We previously reported licensing complex (LC) mRNA to be predictive of ET benefit in primary ER+/HER2- BC (SABCS24-P1-03-20). Here we assessed these findings in a large, real-world cohort of primary and metastatic ET±CDK4/6i-treated tumors. Methods: ER+/HER2- BC biopsies (N=10833 all-comers and a treatment-naïve subset of N=1960) with DNA- and RNA-seq profiling from Caris Life Sciences were reviewed. LC score was calculated as a mean z-score across 14 LC genes; IFNγ score of PMID 28650338 was used. Groupings of Q1 (low) and Q4 (high) LC and IFNγ score quartiles were compared (i.e., Q1/Q1, Q4/Q4, Q1/Q4, Q4/Q1). Endpoints inferred from claims data were time on 1 st ET (To1) and cumulative time on ET (start of 1 st ET to end of last ET; ToT). Logrank p-values and HRs were derived from Cox proportional hazard models. Immune microenvironment (TME) proportions were estimated via quanTIseq deconvolution. Corrected q-values were calculated for quanTIseq and genomic analyses. Results: For all-comers, LC score Q4 vs Q1 predicted shorter ToT for ET with or without CDK4/6i exposure (HR 1.27 [p&lt;0.0001]; 1.13 [p=0.0019]). LC-Q1~IFNγ-Q1 tumors demonstrated longer ToT (ET HR 1.76 [p=0.0015]; ET+CDK4/6i HR 1.32 [p=0.022]) relative to Q4/Q4 when TP53 was not mutated ( mut ). In the treatment-naïve subset, the distribution of LC and IFNγ scores, PAM50 luminal subtype, and TP53 mut appeared similar to all-comers. IFNγ-Q4 vs Q1 predicted shorter To1 with CDK4/6i exposure (14.4 vs 19.9 months, HR 1.28 [p=0.0074]). LC/IFNγ profiles significantly stratified both To1 and ToT only with CDK4/6i exposure. Relative to Q1/Q1, all other quartile groups had shorter To1 (HR 1.53 [p=0.071], 1.88*, and 2.15* [*p&lt;0.01]) and shorter ToT (HR 1.89, 2.33, and 1.98; all p&lt;0.05). Relative to Q1/Q1, the Q4/Q4 cohort was enriched for TP53 mut (44.2% vs 12.5% [q=0.002]). In TP53 WT tumors, Q4~Q4 trended toward shorter ToT than Q1~Q1 (42.7 vs 26.5 months, HR 1.67 [p=0.075]). Finally, LC-Q4/IFNγ-Q4 vs Q1/Q1 tumors exhibited a more inflamed TME with higher M2 macrophages, myeloid DCs, and Tregs (all q≤0.01). Conclusions: Real-world validation confirms the LC and IFNγ-stimulated transcriptional state jointly stratify outcomes in the CDK4/6i-treated setting, predicting shorter time on ET. Though enriched for TP53 mut , convergence of LC/IFNγ may hold potential predictive value in TP53 WT disease. The LC-Q1/IFNγ-Q1 CDK4/6i response predictor in the TP53 WT setting remains to be validated prospectively.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 1032-1032
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (13)

A

Alekya Raghavan

Baylor College of Medicine, Houston, TX

R

Rosemary N. Plagens

Caris Life Sciences, Irving, TX

C

Cynthia X. Ma

J

Jason D. Weber

A

Alexander Mabry

Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO

S

Stephanie L. Graff

Brown University Health Cancer Institute, The Warren Alpert Medical School of Brown University, Providence, RI

M

Maryam B. Lustberg

Yale Cancer Center, Yale School of Medicine, New Haven, CT

A

Andrew Elliott

G

George W. Sledge

C

C. Kent Osborne

Lester and Sue Smith Breast Center, Baylor College of Medicine

M

Mothaffar Rimawi

Lester and Sue Smith Breast Center, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX

A

Ahmed Elkhanany

R

Rachel Schiff

Baylor College of Medicine, Houston, TX