Evidence map›Paper›PMID 40657321›Full record

ArticlemedRxiv : the preprint server for health sciences2025

PSA/testosterone ratio as a potential biomarker to identify early progressors of adaptive therapy in metastatic castration sensitive prostate cancer.

Jill A Gallaher, Robert A Gatenby, Joel S Brown, Alexander R A Anderson, Jingsong Zhang

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In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jill A GallaherDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL.ORCID 0000-0001-9831-6676
Robert A GatenbyDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL.
Joel S BrownDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL.
Alexander R A AndersonDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL.ORCID 0000-0002-2536-4383
Jingsong ZhangDepartment of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL.

Funding

The Delta Ecology of NSCLC TreatmentU54CA274507 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Alexander Robertson Allan Anderson, ROBERT A GATENBY · 2023 to 2026
$9.4M
NCI NIH HHS U54 CA274507
6 · The paper itself

Abstract

purposeWe aim to identify biomarkers of progression in an ongoing pilot trial using adaptive dosing in metastatic castrate sensitive prostate cancer (mCSPC). PATIENTS AND

methodsMen with mCSPC were given combined androgen deprivation therapy with an androgen receptor signaling inhibitor followed by a treatment break after achieving >75% PSA decline. This was followed by evolution-informed drug cycling to prevent resistance outgrowth. Just 6 of 16 patients have progressed at month 55, and we wish to identify predictive features that would help identify these patients. We compare clinical features, testosterone metrics, and PSA metrics over the trial cohort, and we fit a mathematical model to the dynamic patient-specific data to gain more mechanistic insight as to what might be driving early progression.

resultsSignificant clinical risk factors predicting progression included the risk status, the number of bone metastases, and the total number of metastases. However, analyses of the dynamical changes in PSA and testosterone during the initial cycle of treatment identified several useful features to discriminate early, late, and non-progressors. Specifically, a higher PSA at the end of the induction phase, a lower percent change in PSA over the induction period, and a higher average PSA/Testosterone ratio over the first cycle significantly predicted progressors. Thresholds for these metrics are able to distinguish the earliest progressors. A simple mathematical model coupling the PSA and the testosterone dynamics suggests a higher fraction of resistant cells exist prior to therapy for those that progress earlier.

conclusionPSA/Testosterone ratio is a useful feature to couple drug response to tumor burden dynamics and predict early progression from the first cycle of adaptive therapy.

Identifiers

PMID40657321
PMCPMC12248141

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