Evidence map›Paper›PMID 39032952›Full record

ReviewAdvances in cancer research2024

Multiplexed quantitative proteomics in prostate cancer biomarker development.

Yuqian Gao, Hyeyoon Kim, Reta Birhanu Kitata, Tai-Tu Lin, Adam C Swensen, Tujin Shi, Tao Liu

Abstract readReview
In one paragraph

Review in Advances in cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuqian GaoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Hyeyoon KimBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Reta Birhanu KitataBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Tai-Tu LinBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Adam C SwensenBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Tujin ShiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States.
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States. Electronic address: tao.liu@pnnl.gov.

Funding

Center for Advanced Multi-Omic Characterization of CancerU24CA271012 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI Tao Liu · 2022 to 2026
$6.6M
NCI NIH HHS U24 CA271012
6 · The paper itself

Abstract

Prostate cancer (PCa) is the most common non-skin cancer among men in the United States. However, the widely used protein biomarker in PCa, prostate-specific antigen (PSA), while useful for initial detection, its use alone cannot detect aggressive PCa and can lead to overtreatment. This chapter provides an overview of PCa protein biomarker development. It reviews the state-of-the-art liquid chromatography-mass spectrometry-based proteomics technologies for PCa biomarker development, such as enhancing the detection sensitivity of low-abundance proteins through antibody-based or antibody-independent protein/peptide enrichment, enriching post-translational modifications such as glycosylation as well as information-rich extracellular vesicles, and increasing accuracy and throughput using advanced data acquisition methodologies. This chapter also summarizes recent PCa biomarker validation studies that applied those techniques in diverse specimen types, including cell lines, tissues, proximal fluids, urine, and blood, developing novel protein biomarkers for various clinical applications, including early detection and diagnosis, prognosis, and therapeutic intervention of PCa.

Indexed as

Biomarkers, TumorProstatic NeoplasmsProteomicsChromatography, LiquidHumansMaleMass SpectrometryBiomarkers, TumorDIAEarly detectionPRMProstate cancerProtein biomarkerRisk stratificationSRM

Identifiers

PMID39032952
PMCPMC11987045

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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.