Evidence map›Paper›PMID 31504033›Full record

ArticlePLoS computational biology2019

Systematically understanding the immunity leading to CRPC progression.

Zhiwei Ji, Weiling Zhao, Hui-Kuan Lin, Xiaobo Zhou

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  15. Privacy protection of medical data in social network.BMC medical informatics and decision making · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhiwei JiSchool of Biomedical Informatics, The University of Texas Health science center at Houston, Houston, Texas, United States of America.ORCID 0000-0001-5781-3465
Weiling ZhaoSchool of Biomedical Informatics, The University of Texas Health science center at Houston, Houston, Texas, United States of America.
Hui-Kuan LinDepartment of Cancer Biology, Wake Forest Baptist Medical Center, Wake Forest University, Winston Salem, North Carolina, United States of America.
Xiaobo ZhouSchool of Biomedical Informatics, The University of Texas Health science center at Houston, Houston, Texas, United States of America.ORCID 0000-0001-7191-6495

Funding

Systems Modeling Guided Bone regenerationU01AR069395 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI YANG, YUNZHI, ZHOU, XIAOBO · 2016 to 2021
$3.4M
Multiscale Resolution and Deep Network Approaches for Deconvolving Different Cell Types in Bulk Tumor using Single-cell Sequencing Data (scDEC)R01CA241930 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, XIAOBO · 2019 to 2023
$2.7M
Modelling the Growth of the MIC Niche at the System LevelU01CA166886 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO · 2012 to 2016
$2.2M
Tissue Engineering Approaches for Improved Treatment of Early Stage Osteonecrosis of the HipR01AR072613 · NIAMS · STANFORD UNIVERSITY · PI GOODMAN, STUART B, YANG, YUNZHI · 2018 to 2022
$2.2M
Integrative approach to studying LncRNA functionsR01GM123037 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, XIAOBO · 2017 to 2020
$1.5M
NCI NIH HHS R01 CA241930NCI NIH HHS U01 CA166886NIAMS NIH HHS R01 AR072613NIAMS NIH HHS U01 AR069395NIGMS NIH HHS R01 GM123037
6 · The paper itself

Abstract

Prostate cancer (PCa) is the most commonly diagnosed malignancy and the second leading cause of cancer-related death in American men. Androgen deprivation therapy (ADT) has become a standard treatment strategy for advanced PCa. Although a majority of patients initially respond to ADT well, most of them will eventually develop castration-resistant PCa (CRPC). Previous studies suggest that ADT-induced changes in the immune microenvironment (mE) in PCa might be responsible for the failures of various therapies. However, the role of the immune system in CRPC development remains unclear. To systematically understand the immunity leading to CRPC progression and predict the optimal treatment strategy in silico, we developed a 3D Hybrid Multi-scale Model (HMSM), consisting of an ODE system and an agent-based model (ABM), to manipulate the tumor growth in a defined immune system. Based on our analysis, we revealed that the key factors (e.g. WNT5A, TRAIL, CSF1, etc.) mediated the activation of PC-Treg and PC-TAM interaction pathways, which induced the immunosuppression during CRPC progression. Our HMSM model also provided an optimal therapeutic strategy for improving the outcomes of PCa treatment.

Indexed as

Models, ImmunologicalAndrogen AntagonistsComputational BiologyComputer SimulationCytokinesHumansLymph NodesMaleProstatic Neoplasms, Castration-ResistantT-Lymphocytes, RegulatoryAndrogen AntagonistsCytokines

Identifiers

PMID31504033
PMCPMC6754164

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.