ArticleClinical medicine. Oncology2008
Recent advances in proteomics and cancer biomarker discovery.
Article in Clinical medicine. Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Analytical Techniques as Indicators of Biomarkers in Proteomics Cancer Diagnosis.Anti-cancer agents in medicinal chemistry · 2026Review
- The Plasma Proteome and Risk of Future Venous Thromboembolism-Results from the HUNT Study in Thrombosis and Haemostasis.Thrombosis and haemostasis · 2025Article
- Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024Review
- Proteomics: Concepts and applications in human medicine.World journal of biological chemistry · 2021Review
- Challenges and Opportunities in Clinical Applications of Blood-Based Proteomics in Cancer.Cancers · 2020Review
- Exploitation of Gene Expression and Cancer Biomarkers in Paving the Path to Era of Personalized Medicine.Genomics, proteomics & bioinformatics · 2017Review
- Simultaneous Proteomic Discovery and Targeted Monitoring using Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry.Molecular & cellular proteomics : MCP · 2016Article
- Psoriatic arthritis under a proteomic spotlight: application of novel technologies to advance diagnosis and management.Current rheumatology reports · 2015Review
- Reverse-phase protein array analysis to identify biomarker proteins in human pancreatic cancer.Digestive diseases and sciences · 2014Article
- Methylated DNA as Promising Marker for Early Diagnosis of Cancer.Journal of bioanalysis & biomedicine · 2012Article
- Colorectal cancer cell surface protein profiling using an antibody microarray and fluorescence multiplexing.Journal of visualized experiments : JoVE · 2011Article
- Proteomics in bone research.Expert review of proteomics · 2010Article
- Quantitative proteomics and biomarker discovery in human cancer.Expert review of proteomics · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Early diagnosis and prevention is a key factor in reducing the mortality and morbidity of cancer. However, currently available screening tools lack enough sensitivity for early diagnosis. It is important to develop noninvasive techniques and methods that can screen and identify asymptomatic patients who have cancer. Biomarkers of cancer status can also serve as powerful tools in monitoring the course of cancer and in determining the efficacy and safety of novel therapies. Thus, discovery of novel specific biomarkers are needed that may provide informative clues for early diagnosis and treatment of cancer. Recently, remarkable progress has been made in the development of new proteomics technology. The progress that has been made in this field is helpful in identifying biomarkers that can be used for early diagnosis of cancer and improving the understanding of the molecular etiological mechanism of cancer. This article describes the current state of the art in this field.
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Registered trials
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.