Use of transcriptomic signatures of <i>RAD51</i> and <i>GATA6</i> to predict real-world overall survival with platinum therapy in <i>BRCA/PALB2</i> wild-type metastatic pancreatic cancer.

B Binbin Zheng-Lin (Earle A. Chiles Research Institute, Portland, OR) E Ellen B. Jaeger (Tempus AI Inc., Chicago, IL) C Cody Eslinger (Department of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) M Matina Fragkogianni (Tempus AI, Inc., Chicago, IL) U Unnati Jariwala (2Tempus AI, Inc., Chicago, United States) A Arya Ashok (Tempus AI Inc., Chicago, IL) K Kayla Viets Layng (Tempus AI, Inc., Chicago, IL) T Taro Shibuki O Oluseyi Abidoye (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) C Celine Hoyek (Division of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ) A Angelo Pirozzi (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) D Daniel H. Ahn (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) J Jeremy Clifton Jones (Division of Hematology and Oncology, Mayo Clinic Florida, Jacksonville, FL) C Christina Wu (Mayo Clinic, Phoenix, AZ) M Mitesh J. Borad (Department of Oncology, Mayo Clinic, Phoenix, AZ) M Mohamad Bassam Sonbol J John H. Strickler T Takayuki Yoshino (National Cancer Center Hospital East, Kashiwa, Japan) M Masafumi Ikeda T Tanios S. Bekaii-Saab

Abstract

679 Background: DNA-damaging agents improve outcomes in metastatic pancreatic cancer (mPC) with homologous recombination repair (HRR) deficiency, albeit use is limited to 6-9% of patients (pts) with BRCA1/2 or PALB2 mutations. We hypothesized that BRCA/PALB2 wildtype mPC may exhibit platinum sensitivity driven by altered HRR gene expression. We correlated HRR gene RNA profiles with real-world overall survival (rwOS) following first-line (1L) platinum therapy (PT). Methods: Tempus Lens, a platform used to query multimodal data from millions of de-identified patient records in the Tempus Database was used to identify mPC pts with wildtype somatic BRCA1/2 and PALB2 who had Tempus xT DNA and xR RNA testing. RNA-seq data were normalized to correct for assay/batch effects, quantified as transcripts per million (TPM) and reported as log2(TPM+1) for 17 HRR genes and GATA6 . Pts were classified as high and low expressors based on the top and bottom quartile gene expression. Pts were grouped as PT-treated (received 1L PT) or PT-naïve (never received PT). Real world overall survival (rwOS) was calculated from 1L start to death or loss to follow up. Risk set adjustment was applied to mitigate immortal time bias. Median rwOS was estimated using Kaplan-Meier and univariate Cox models. A multivariate Cox Proportional (CoxPh) model included PT use, RAS status, and expression of genes (as continuous variables). Results: Among 1,068 pts, the median age was 66 years and 609 (57%) received 1L PT. In low RAD51 expressors, PT-treated pts (n=136) had significantly longer rwOS than PT-naïve (n=112): 11.4 months (95% CI, 7.8–13.8) vs 8 months (95% CI, 5.5–9.0); p=0.028. In contrast, in high RAD51 expressors, rwOS was similar between PT-treated (n=150) and PT-naïve (n=97): 7.9 vs 6.9 months (p=0.236). High GATA6 expression was also associated with improved rwOS in PT-treated pts vs PT-naïve: 13.5 vs. 9.3 months; p=0.011. In multivariate analysis, increased GATA6 expression remained a positive predictor of rwOS (HR 0.82; 95% CI, 0.76–0.88; p&lt;0.001), and high RAD51 expression was associated with shorter rwOS with PT (HR 1.18; 95% CI, 1.01–1.39; p=0.043). Conclusions: In BRCA/PALB2 wt mPC, transcriptomic profiling identified low RAD51 and high GATA6 expression as predictors for improved rwOS when treated with PT. Integrating these biomarkers may improve development of DNA-damaging therapies beyond canonically defined HRD. Hazard ratios of mPC mortality by selected HRR genes estimated by multivariate CoxPh models. HR 95% CI p value 1L PT (vs PT-naïve) 0.87 0.75, 1.00 0.054 BRCA1 1.15 0.98, 1.35 0.079 BRCA2 0.89 0.77, 1.04 0.14 GATA6 0.82 0.76, 0.88 &lt;0.001 NBN 0.97 0.81, 1.15 0.7 RAD51 1.18 1.01, 1.39 0.043 RECQL4 0.94 0.84, 1.04 0.2 Any RAS mutation 1.43 1.14, 1.81 0.002

Article Details

Volume / Issue Vol. 44, Issue 2_suppl
Published January 10, 2026
Pages 679-679
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

B

Binbin Zheng-Lin

Earle A. Chiles Research Institute, Portland, OR

E

Ellen B. Jaeger

Tempus AI Inc., Chicago, IL

C

Cody Eslinger

Department of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

M

Matina Fragkogianni

Tempus AI, Inc., Chicago, IL

U

Unnati Jariwala

2Tempus AI, Inc., Chicago, United States

A

Arya Ashok

Tempus AI Inc., Chicago, IL

K

Kayla Viets Layng

Tempus AI, Inc., Chicago, IL

T

Taro Shibuki

O

Oluseyi Abidoye

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

C

Celine Hoyek

Division of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ

A

Angelo Pirozzi

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

D

Daniel H. Ahn

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

J

Jeremy Clifton Jones

Division of Hematology and Oncology, Mayo Clinic Florida, Jacksonville, FL

C

Christina Wu

Mayo Clinic, Phoenix, AZ

M

Mitesh J. Borad

Department of Oncology, Mayo Clinic, Phoenix, AZ

M

Mohamad Bassam Sonbol

J

John H. Strickler

T

Takayuki Yoshino

National Cancer Center Hospital East, Kashiwa, Japan

M

Masafumi Ikeda

T

Tanios S. Bekaii-Saab