Evidence map›Paper›PMID 22645712›Full record

ArticleFrontiers in oncology2011

Molecular targets for radiation oncology in prostate cancer.

Tao Wang, Lucia R Languino, Jane Lian, Gary Stein, Michael Blute, Thomas J Fitzgerald

Abstract read
In one paragraph

Article in Frontiers in oncology, 2011. 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. αMolecular cancer research : MCR · 2019
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  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.

Tao WangDepartment of Radiation Oncology, University of Massachusetts Medical School Worcester, MA, USA.
Lucia R Languino
Jane Lian
Gary Stein
Michael Blute
Thomas J Fitzgerald

Funding

Role of Runx2 in prostate tumorigenesis and metastasisP01CA140043 · NCI · WISTAR INSTITUTE · PI ALTIERI, DARIO C · 2010 to 2021
$12.2M
INTEGRIN SIGNALING PATHWAYS IN PROSTATE CANCERR01CA089720 · NCI · YALE UNIVERSITY · PI LANGUINO, LUCIA R. · 2001 to 2014
$2.8M
Beta1 Integrins and IGF-l Receptor in Prostate CancerR01CA109874 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LANGUINO, LUCIA R. · 2005 to 2015
$2.7M
NCI NIH HHS P01 CA140043NCI NIH HHS R01 CA089720NCI NIH HHS R01 CA109874
6 · The paper itself

Abstract

Recent selected developments of the molecular science of prostate cancer (PrCa) biology and radiation oncology are reviewed. We present potential targets for molecular integration treatment strategies with radiation therapy (RT), and highlight potential strategies for molecular treatment in combination with RT for patient care. We provide a synopsis of the information to date regarding molecular biology of PrCa, and potential integrated research strategy for improved treatment of PrCa. Many patients with early-stage disease at presentation can be treated effectively with androgen ablation treatment, surgery, or RT. However, a significant portion of men are diagnosed with advanced stage/high-risk disease and these patients progress despite curative therapeutic intervention. Unfortunately, management options for these patients are limited and are not always successful including treatment for hormone refractory disease. In this review, we focus on molecules of extracellular matrix component, apoptosis, androgen receptor, RUNX, and DNA methylation. Expanding our knowledge of the molecular biology of PrCa will permit the development of novel treatment strategies integrated with RT to improve patient outcome.

Indexed as

apoptosisARDNA methylationECM/integrinPrCaradiationRunx2

Identifiers

PMID22645712
PMCPMC3355820

What OpenQuestion holds

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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.