Evidence map›Paper›PMID 23811619›Full record

ReviewCancer discovery2013

Molecular classification of prostate cancer progression: foundation for marker-driven treatment of prostate cancer.

Christopher J Logothetis, Gary E Gallick, Sankar N Maity, Jeri Kim, Ana Aparicio, Eleni Efstathiou, Sue-Hwa Lin

Open access · greenAbstract readReview
In one paragraph

Review in Cancer discovery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

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  20. The Big Data Paradox in Clinical Practice.Cancer investigation · 2022
    Article

27 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Christopher J LogothetisDepartments of 1Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. clogothe@mdanderson.org
Gary E Gallick
Sankar N Maity
Jeri Kim
Ana Aparicio
Eleni Efstathiou
Sue-Hwa Lin
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS CA016672NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Recently, many therapeutic agents for prostate cancer have been approved that target the androgen receptor and/or the prostate tumor microenvironment. Each of these therapies has modestly increased patient survival. A better understanding of when in the course of prostate cancer progression specific therapies should be applied, and of what biomarkers would indicate when resistance arises, would almost certainly improve survival due to these therapies. Thus, applying the armamentarium of therapeutic agents in the right sequences in the right combination at the right time is a major goal in prostate cancer treatment. For this to occur, an understanding of prostate cancer evolution during progression is required. In this review, we discuss the current understanding of prostate cancer progression, but challenge the prevailing view by proposing a new model of prostate cancer progression, with the goal of improving biologic classification and treatment strategies. We use this model to discuss how integrating clinical and basic understanding of prostate cancer will lead to better implementation of molecularly targeted therapeutics and improve patient survival.

Indexed as

Tumor MicroenvironmentAntineoplastic AgentsBiomarkers, TumorDisease ProgressionDrug DiscoveryHumansMaleMolecular Targeted TherapyProstatic NeoplasmsReceptors, AndrogenTreatment OutcomeAntineoplastic AgentsAR protein, humanBiomarkers, TumorReceptors, Androgen

Identifiers

PMID23811619
PMCPMC3926428
OpenAlexW2108337681

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.