Evidence map›Paper›PMID 30079300›Full record

ArticleTranslational cancer research2018

Prostate cancer: unmet clinical needs and RAD9 as a candidate biomarker for patient management.

Howard B Lieberman, Alex J Rai, Richard A Friedman, Kevin M Hopkins, Constantinos G Broustas

Open access · hybridAbstract read
In one paragraph

Article in Translational cancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Hypermethylation ofEXCLI journal · 2022
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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

5 authors at 3 institutions in 1 country.

Howard B LiebermanCenter for Radiological Research, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Alex J RaiDepartment of Pathology and Cell Biology and Special Chemistry Laboratories, Columbia University Medical Center and New York Presbyterian Hospital, New York, NY, USA.
Richard A FriedmanBiomedical Informatics Shared Resource, Herbert Irving Comprehensive Cancer Center and Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Kevin M HopkinsCenter for Radiological Research, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Constantinos G BroustasCenter for Radiological Research, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Columbia University · USColumbia University Irving Medical Center · USNewYork–Presbyterian Hospital · US

Funding

Mechanisms of Radioresistance and Cell Cycle ProgressionR01CA130536 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIEBERMAN, HOWARD B. · 2007 to 2016
$3.5M
NCI NIH HHS R01 CA130536
6 · The paper itself

Abstract

Prostate cancer is a complex disease, with multiple subtypes and clinical presentations. Much progress has been made in recent years to understand the underlying genetic basis that drives prostate cancer. Such mechanistic information is useful for development of novel therapeutic targets, to identify biomarkers for early detection or to distinguish between aggressive and indolent disease, and to predict treatment outcome. Multiple tests have become available in recent years to address these clinical needs for prostate cancer. We describe several of these assays, summarizing test details, performance characteristics, and acknowledging their limitations. There is a pressing unmet need for novel biomarkers that can demonstrate improvement in these areas. We introduce one such candidate biomarker, RAD9, describe its functions in the DNA damage response, and detail why it can potentially fill this void.

Indexed as

Biomarkeroncogeneprostate cancerRAD9tumor suppressor

Identifiers

PMID30079300
PMCPMC6071673
OpenAlexW2788877376

What Socratic 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 Socratic graph.