Evidence map›Paper›PMID 34948334›Full record

ReviewInternational journal of molecular sciences2021

On the Road to Accurate Protein Biomarkers in Prostate Cancer Diagnosis and Prognosis: Current Status and Future Advances.

Yiwu Yan, Su Yeon Yeon, Chen Qian, Sungyong You, Wei Yang

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

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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 1 institution in 1 country.

Yiwu YanDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Su Yeon YeonDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-2600-4133
Chen QianDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Sungyong YouDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-3513-1783
Wei YangDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-2575-3570
Cedars-Sinai Medical Center · US

Funding

High-throughput palmitoyl-proteomics profiling of extracellular vesicles for identification of biomarkers for early detection of clinically significant prostate cancerR01CA218526 · NCI · CEDARS-SINAI MEDICAL CENTER · PI DI VIZIO, DOLORES, HURLEY, PAULA JILL · 2017 to 2021
$2.0M
NCI NIH HHS R01CA218526United States Department of Defense W81XWH-20-1-0644
6 · The paper itself

Abstract

Prostate cancer (PC) is a leading cause of morbidity and mortality among men worldwide. Molecular biomarkers work in conjunction with existing clinicopathologic tools to help physicians decide who to biopsy, re-biopsy, treat, or re-treat. The past decade has witnessed the commercialization of multiple PC protein biomarkers with improved performance, remarkable progress in proteomic technologies for global discovery and targeted validation of novel protein biomarkers from clinical specimens, and the emergence of novel, promising PC protein biomarkers. In this review, we summarize these advances and discuss the challenges and potential solutions for identifying and validating clinically useful protein biomarkers in PC diagnosis and prognosis. The identification of multi-protein biomarkers with high sensitivity and specificity, as well as their integration with clinicopathologic parameters, imaging, and other molecular biomarkers, bodes well for optimal personalized management of PC patients.

Indexed as

ProteomicsBiomarkers, TumorHumansMalePrognosisProstatic NeoplasmsBiomarkers, Tumorbiomarkerdiagnosisprognosisprostate cancerproteomics

Identifiers

PMID34948334
PMCPMC8703658
OpenAlexW4200409089

What Socratic holds

Textmetadata
LicenceCC BY
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.