Annual Meeting of the NCI Cohort Consortium (Abstract Submission): Submission #4

Submission information
Submission Number: 4
Submission ID: 186263
Submission UUID: b9e7dfcd-02a6-45c0-982b-12203f2516f8

Created: Fri, 07/10/2026 - 11:44
Completed: Fri, 07/10/2026 - 12:08
Changed: Fri, 07/10/2026 - 12:08

Remote IP address: 10.208.24.52
Submitted by: Anonymous
Language: English

Is draft: No
Presenter Information
Hannah
E.
Guard
M.S.
Research Assistant IV
Department of Epidemiology, Harvard T.H. Chan School of Public Health
Additional Authors
  • First Name: Lia
    Last Name: De Paula Oliveria
    Degrees: M.D.
    Affiliation: Department of Pathology, Johns Hopkins University School of Medicine
  • First Name: Aidan
    Last Name: Daluiski
    Affiliation: Department of Epidemiology, Harvard T.H. Chan School of Public Health
  • First Name: Adrianna
    Last Name: Amaral de Aragao
    Degrees: M.D.
    Affiliation: Department of Pathology, Johns Hopkins University School of Medicine
  • First Name: Jane B.
    Last Name: Vaselkiv
    Degrees: M.P.H.
    Affiliation: Department of Epidemiology, Harvard T.H. Chan School of Public Health
  • First Name: Sinead
    Last Name: Flanagan
    Degrees: M.B. B.Ch B.A.O., M.P.H.
    Affiliation: Department of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin
  • First Name: Colleen
    Last Name: McGrath
    Degrees: M.S.
    Affiliation: Department of Epidemiology, Harvard T.H. Chan School of Public Health
  • First Name: Magdalena
    Last Name: Brinker
    Degrees: M.S.
    Affiliation: Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS and Faculty of Human and Health Sciences, University of Bremen
  • First Name: Michelangelo
    Last Name: Fiorentino
    Degrees: M.D., Ph.D.
    Affiliation: Pathology Unit, Maggiore Hospital-AUSL Bologna and Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna
  • First Name: Massimo
    Last Name: Loda
    Degrees: M.D.
    Affiliation: Department of Pathology and Laboratory Medicine, New York Presbyterian Hospital, Weill Cornell Medicine
  • First Name: Corinne
    Last Name: Joshu
    Degrees: Ph.D., M.P.H., M.A.
    Affiliation: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health; Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
  • First Name: Lorelei
    Last Name: Mucci
    Degrees: Sc.D., M.P.H.
    Affiliation: Department of Epidemiology, Harvard T.H. Chan School of Public Health
  • First Name: Konrad
    Last Name: Stopsack
    Degrees: M.D., M.P.H.
    Affiliation: Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS and Faculty of Human and Health Sciences, University of Bremen
  • First Name: Tamara
    Last Name: Lotan
    Degrees: M.D.
    Affiliation: Department of Pathology, Johns Hopkins University School of Medicine
Abstract Information
Tumor expression of ERG, PTEN, and p53 and lethal prostate cancer in two prospective cohort studies
Background: Tumor biomarkers, including PTEN loss and TP53 mutations, can identify prognostic subtypes of prostate cancer. We evaluated p53 and PTEN loss with or without ERG tumor protein expression and lethal prostate cancer in two prospective cohort studies.

Methods: 1,085 participants of the Health Professionals Follow-up Study and Physicians’ Health Study diagnosed with prostate cancer (1986-2017) and treated surgically were followed for lethality (metastasis or prostate cancer death) through 2022. PTEN loss, ERG, and p53-mutations in prostate tumors were assessed using validated immunohistochemistry assays on tissue microarrays. We estimated hazard ratios (HR) and 95% confidence intervals (CI) for associations between each biomarker and lethality using Cox proportional hazards models adjusted for Gleason score, pathologic TNM stage, and the other biomarkers. We also assessed the joint association of PTEN loss and ERG with lethality. We evaluated prognostic discrimination of the biomarkers in addition to clinical factors across time using time-varying area-under-the-curve (tAUC).

Results: Over median 19 years follow-up, 113 lethal events occurred. The prevalence of each subtype was: 53% ERG-positive, 4% p53-positive, 14% complete PTEN loss (overall), 9% PTEN loss/ERG-positive, 5% PTEN loss/ERG-negative. PTEN loss (HR: 2.3, 95% CI: 1.5, 3.6) and p53 (HR: 2.9, 95% CI: 1.7, 5.1) were associated with lethal prostate cancer. PTEN loss/ERG-negative tumors had 4.3-fold higher risk of lethality (95% CI: 2.4, 7.8) compared to PTEN intact/ERG-negative tumors. The risk was not elevated in PTEN loss/ERG-positive tumors (HR: 1.3, 95% CI: 0.7, 2.3). tAUCs for p53 (0.55-0.57) and PTEN (0.59-0.65) were low. tAUCs for clinical factors ranged from 0.80 to 0.86 over time. The addition of the biomarkers did not add information for prognosis.

Conclusion/Discussion: Complete PTEN loss in ERG-negative tumors and p53 were associated with higher risk of lethal prostate cancer, but they did not meaningfully improve prediction of lethality beyond Gleason grade and stage.