Evidence map›Paper›PMID 23112109›Full record

ReviewProteomics. Clinical applications2013

Glycoproteomics using fluid-based specimens in the discovery of lung cancer protein biomarkers: promise and challenge.

Qing Kay Li, Ed Gabrielson, Frederic Askin, Daniel W Chan, Hui Zhang

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2013. 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
–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

6 citing papers in PubMed.

  1. Article
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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.

Qing Kay LiDepartment of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21224, USA. qli23@jhmi.edu
Ed Gabrielson
Frederic Askin
Daniel W Chan
Hui Zhang

Funding

Shared Resource CoresP01HL107153 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2011 to 2017
$16.8M
Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
NCI NIH HHS U01 CA152813NCI NIH HHS U01CA152813NCI NIH HHS U24 CA160036NCI NIH HHS U24CA160036NHLBI NIH HHS P01 HL107153NHLBI NIH HHS P01HL107153
6 · The paper itself

Abstract

Lung cancer is the leading cancer in the United States and worldwide. In spite of the rapid progression in personalized treatments, the overall survival rate of lung cancer patients is still suboptimal. Over the past decade, tremendous efforts have been focused on the discovery of protein biomarkers to facilitate the early detection and monitoring of lung cancer progression during treatment. In addition to tumor tissues and cancer cell lines, a variety of biological material has been studied. Particularly in recent years, studies using fluid-based specimen or so-called "fluid-biopsy" specimens have progressed rapidly. Fluid specimens are relatively easier to collect than tumor tissue, and they can be repeatedly sampled during the disease progression. Glycoproteins are the major content of fluid specimens and have long been recognized to play fundamental roles in many physiological and pathological processes. In this review, we focus the discussion on recent advances of glycoproteomics, particularly in the identification of potential glyco protein biomarkers using fluid-based specimens in lung cancer. The purpose of this review is to summarize current strategies, achievements, and perspectives in the field. This insight will highlight the discovery of tumor-associated glycoprotein biomarkers in lung cancer and their potential clinical applications.

Indexed as

GlycomicsProteomicsBiomarkers, TumorColorectal NeoplasmsDisease ProgressionGlycoproteinsHumansBiomarkers, TumorGlycoproteins

Identifiers

PMID23112109
PMCPMC5079647

What OpenQuestion holds

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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.