Evidence map›Paper›PMID 37904960›Full record

ArticlebioRxiv : the preprint server for biology2023

Clinically relevant humanized mouse models of metastatic prostate cancer to evaluate cancer therapies.

Raymond J Kostlan, John T Phoenix, Audris Budreika, Marina G Ferrari, Neetika Khurana, Jae Eun Cho, Kristin Juckette, Brooke L McCollum, Russell Moskal, Rahul Mannan and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Raymond J KostlanDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
John T PhoenixDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
Audris BudreikaDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
Marina G FerrariDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
Neetika KhuranaDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
Jae Eun ChoMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
Kristin JucketteMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
Brooke L McCollumMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
Russell MoskalDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
Rahul MannanIntegrated Program in Biomedical Science, Biochemistry, Molecular and Cancer Biology, Loyola University Chicago, Maywood, IL, USA.
Yuanyuan QiaoIntegrated Program in Biomedical Science, Biochemistry, Molecular and Cancer Biology, Loyola University Chicago, Maywood, IL, USA.
Donald J Vander GriendDepartment of Pathology, University of Illinois at Chicago, Chicago, IL, USA.
Arul M ChinnaiyanIntegrated Program in Biomedical Science, Biochemistry, Molecular and Cancer Biology, Loyola University Chicago, Maywood, IL, USA.
Steven KregelDepartment of Cancer Biology, Loyola University Chicago, Maywood, IL 60153.
Loyola University Chicago · USUniversity of Michigan · USUniversity of Illinois Chicago · US

Funding

Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu · 2014 to 2026
$27.6M
Training Program in Tumor MicroenvironmentT32CA009676 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maria G Castro, Analisa Virginia DiFeo · 1992 to 2026
$7.3M
Exploring Precision Oncology: From Gene Fusions to lncRNAsR35CA231996 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M · 2018 to 2024
$6.4M
Small-molecule degraders of BET proteinsR01CA215758 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WANG, SHAOMENG · 2017 to 2021
$3.1M
Targeting the MLL complex in Castration Resistant Prostate CancerR01CA200660 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, GREMBECKA, JOLANTA · 2016 to 2020
$1.9M
NCI NIH HHS P50 CA186786NCI NIH HHS R01 CA200660NCI NIH HHS R01 CA215758NCI NIH HHS R35 CA231996NCI NIH HHS T32 CA009676
6 · The paper itself

Abstract

There is tremendous need for improved prostate cancer (PCa) models. The mouse prostate does not spontaneously form tumors and is anatomically and developmentally different from the human prostate. Engineered mouse models lack the heterogeneity of human cancer and rarely establish metastatic growth. Human xenografts represent an alternative but rely on an immunocompromised host. Accordingly, we generated PCa murine xenograft models with an intact human immune system (huNOG and huNOG-EXL mice) to test whether humanizing tumor-immune interactions would improve modeling of metastatic PCa and the impact of hormonal and immunotherapies. These mice maintain multiple human cell lineages, including functional human T-cells and myeloid cells. In 22Rv1 xenografts, subcutaneous tumor size was not significantly altered across conditions; however, metastasis to secondary sites differed in castrate huNOG vs background-matched immunocompromised mice treated with enzalutamide (enza). VCaP xenograft tumors showed decreases in growth with enza and anti-Programed-Death-1 treatments in huNOG mice, and no effect was seen with treatment in NOG mice. Enza responses in huNOG and NOG mice were distinct and associated with increased T-cells within tumors of enza treated huNOG mice, and increased T-cell activation. In huNOG-EXL mice, which support human myeloid development, there was a strong population of immunosuppressive regulatory T-cells and Myeloid-Derived-Suppressor-Cells (MDSCs), and enza treatment showed no difference in metastasis. Results illustrate, to our knowledge, the first model of human PCa that metastasizes to clinically relevant locations, has an intact human immune system, responds appropriately to standard-of-care hormonal therapies, and can model both an immunosuppressive and checkpoint-inhibition responsive immune microenvironment.

Identifiers

PMID37904960
PMCPMC10614761
OpenAlexW4387736536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.