Evidence map›Paper›PMID 24788098›Full record

ArticleCancer research2014

An integrated computational model of the bone microenvironment in bone-metastatic prostate cancer.

Arturo Araujo, Leah M Cook, Conor C Lynch, David Basanta

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

57 citing papers in PubMed, 100 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 75 Years of Mathematical Oncology.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Exploring bone-tumor interactions through 3DJournal of bone oncology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023
    Article
  16. Article
  17. Mutation divergence over space in tumour expansion.Journal of the Royal Society, Interface · 2023
    Article
  18. Review
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Arturo AraujoAuthors' Affiliations: Departments of Integrated Mathematical Oncology and Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Leah M Cook
Conor C Lynch
David Basanta
Moffitt Cancer Center · USUniversity of South Florida · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
Predicting Prostate Cancer AggressivenessU01CA151924 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, AYALA, GUSTAVO ENRIQUE · 2011 to 2015
$2.8M
Host MMP-mediated regulation of the vicious cycle of prostate to bone metastasesR01CA143094 · NCI · VANDERBILT UNIVERSITY · PI LYNCH, CONOR C · 2010 to 2014
$1.5M
NCI NIH HHS P30 CA076292NCI NIH HHS R01 CA143094NCI NIH HHS R01CA143094NCI NIH HHS U01CA151924-01A1
6 · The paper itself

Abstract

Bone metastasis will impact most men with advanced prostate cancer. The vicious cycle of bone degradation and formation driven by metastatic prostate cells in bone yields factors that drive cancer growth. Mechanistic insights into this vicious cycle have suggested new therapeutic opportunities, but complex temporal and cellular interactions in the bone microenvironment make drug development challenging. We have integrated biologic and computational approaches to generate a hybrid cellular automata model of normal bone matrix homeostasis and the prostate cancer-bone microenvironment. The model accurately reproduces the basic multicellular unit bone coupling process, such that introduction of a single prostate cancer cell yields a vicious cycle similar in cellular composition and pathophysiology to models of prostate-to-bone metastasis. Notably, the model revealed distinct phases of osteolytic and osteogenic activity, a critical role for mesenchymal stromal cells in osteogenesis, and temporal changes in cellular composition. To evaluate the robustness of the model, we assessed the effect of established bisphosphonate and anti-RANKL therapies on bone metastases. At approximately 100% efficacy, bisphosphonates inhibited cancer progression while, in contrast with clinical observations in humans, anti-RANKL therapy fully eradicated metastases. Reducing anti-RANKL yielded clinically similar results, suggesting that better targeting or dosing could improve patient survival. Our work establishes a computational model that can be tailored for rapid assessment of experimental therapies and delivery of precision medicine to patients with prostate cancer with bone metastases.

Indexed as

Computer SimulationModels, BiologicalBone and BonesBone NeoplasmsCell LineCell MovementHumansMaleOsteoblastsOsteoclastsProstatic NeoplasmsTransforming Growth Factor betaTumor MicroenvironmentTransforming Growth Factor beta

Identifiers

PMID24788098
PMCPMC4023121
OpenAlexW2105933619

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.