Evidence map›Paper›PMID 35666809›Full record

ArticleMolecular cancer therapeutics2022

Optimization and Characterization of a Bone Culture Model to Study Prostate Cancer Bone Metastasis.

Yi-Hsuan Wu, Zbigniew Gugala, Megan M Barry, Yichao Shen, Subhamoy Dasgupta, Hai Wang

Abstract read
In one paragraph

Article in Molecular cancer therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Siglec-15/sialic acid axis as a central glyco-immune checkpoint in breast cancer bone metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Review
  8. Article
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

6 authors.

Yi-Hsuan WuLester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, Taxes.ORCID 0000-0002-7568-3948
Zbigniew GugalaDepartment of Orthopaedic Surgery & Rehabilitation, University of Texas Medical Branch, Galveston, Taxes.ORCID 0000-0003-2331-7660
Megan M BarryDepartment of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0002-6843-0432
Yichao ShenLester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, Taxes.ORCID 0000-0002-5257-6808
Subhamoy DasguptaDepartment of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0001-7167-908X
Hai WangDepartment of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0003-2063-2008

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Decoding the nuclear metabolic processes regulating gene transcriptionDP2CA260421 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI DASGUPTA, SUBHAMOY · 2020 to 2024
$2.5M
Mechanisms of metabolic stress-induced transcriptional regulation in prostate cancerR01CA252092 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI DASGUPTA, SUBHAMOY · 2021 to 2025
$1.9M
NCI NIH HHS DP2 CA260421NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA252092
6 · The paper itself

Abstract

Nearly 90% of patients with advanced prostate cancer manifest bone metastases. Distinct from the osteolytic metastasis mostly observed in other cancer types, prostate cancer bone metastasis is typically more osteoblastic, which is relatively understudied due to the lack of reliable and efficient models to resemble the indolent cellular growth and complexity of metastatic progression. In our previous studies, we developed bone-in-culture array (BICA) to primarily model the osteoblast-involved, pre-osteolytic stage of breast cancer bone metastasis. Given that the progression of prostate cancer bone metastasis is largely osteoblastic, it is reasonable to speculate that the original BICA model can be adjusted to investigate prostate cancer bone metastases. In this study, we refined BICA by reducing the surgical labor and improving its reproducibility and capacity. The optimized BICA can successfully recapitulate important features of prostate cancer bone metastasis such as the osteoblastic phenotype, indolent growth, cancer-niche interactions, and response to hormones. Our efforts address the long-standing need for reliable and efficient models to study prostate cancer bone metastasis.

Indexed as

Bone NeoplasmsProstatic NeoplasmsHumansMaleOsteoblastsReproducibility of Results

Identifiers

PMID35666809
PMCPMC9357208

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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.