Literature DB >> 16396491

Advances, challenges, and limitations in serum-proteome-based cancer diagnosis.

Matthias P A Ebert1, Murray Korc, Peter Malfertheiner, Christoph Röcken.   

Abstract

Recent advances in medicine have dramatically reduced the incidence and mortality of many cardiovascular, infectious, and certain neoplastic diseases; the overall mortality for most malignant solid tumors remains high. The poor prognosis in these cancers is due, in part, to the absence of adequate early screening tests, leading to delays in diagnosis. Three strategies have been applied to fight cancer: analysis of the molecular mechanisms involved in its pathogenesis and progression, improvement of early diagnosis, and the development of novel treatment strategies. There have been major advances in our understanding of cancer biology and pathogenesis and in the development of new (targeted) treatment modalities. However, insufficient progress has been made with respect to improving the methods for the early diagnosis and screening of many cancers. Therefore, cancer is often diagnosed at advanced stages, delaying timely treatment and leading to poor prognosis. Proteome analysis has recently been used for the identification of biomarkers or biomarker patterns that may allow for the early diagnosis of cancer. This tool is of special interest, since it allows for the identification of tumor-derived secretory products in serum or other body fluids. In addition, it may be used to detect reduced levels or loss of proteins in the serum of cancer patients that are present in noncancer individuals. These changes in the serum proteome may result from cancer-specific metabolic or immunological alterations, which are, at least partly, independent of tumor size or mass, thereby facilitating early discovery.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16396491     DOI: 10.1021/pr050271e

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  18 in total

Review 1.  Current advantages in the application of proteomics in inflammatory bowel disease.

Authors:  Anna Vaiopoulou; Maria Gazouli; George Theodoropoulos; George Zografos
Journal:  Dig Dis Sci       Date:  2012-06-28       Impact factor: 3.199

Review 2.  Measurement of biomarker proteins for point-of-care early detection and monitoring of cancer.

Authors:  James F Rusling; Challa V Kumar; J Silvio Gutkind; Vyomesh Patel
Journal:  Analyst       Date:  2010-07-08       Impact factor: 4.616

3.  Calorimetry outside the box: a new window into the plasma proteome.

Authors:  Nichola C Garbett; James J Miller; Alfred B Jenson; Jonathan B Chaires
Journal:  Biophys J       Date:  2007-10-19       Impact factor: 4.033

4.  Multiplex Immunosensor Arrays for Electrochemical Detection of Cancer Biomarker Proteins.

Authors:  Bernard S Munge; Thomas Stracensky; Kathleen Gamez; Dimitri DiBiase; James F Rusling
Journal:  Electroanalysis       Date:  2016-06-07       Impact factor: 3.223

5.  Serum miR-181b Is Correlated with Hepatitis B Virus Replication and Disease Progression in Chronic Hepatitis B Patients.

Authors:  Fujun Yu; Guangyao Zhou; Guojun Li; Bicheng Chen; Peihong Dong; Jianjian Zheng
Journal:  Dig Dis Sci       Date:  2015-05-15       Impact factor: 3.199

6.  MicroRNAs: tools for cancer diagnostics.

Authors:  T Paranjape; F J Slack; J B Weidhaas
Journal:  Gut       Date:  2009-11       Impact factor: 23.059

Review 7.  Innovations, challenges and future prospects of oncoproteomics.

Authors:  Kewal K Jain
Journal:  Mol Oncol       Date:  2008-05-28       Impact factor: 6.603

8.  Sensitive detection of protein and miRNA cancer biomarkers using silicon-based photonic crystals and a resonance coupling laser scanning platform.

Authors:  Sherine George; Vikram Chaudhery; Meng Lu; Miki Takagi; Nabil Amro; Anusha Pokhriyal; Yafang Tan; Placid Ferreira; Brian T Cunningham
Journal:  Lab Chip       Date:  2013-08-20       Impact factor: 6.799

9.  Single nanoparticle detection for multiplexed protein diagnostics with attomolar sensitivity in serum and unprocessed whole blood.

Authors:  Margo R Monroe; George G Daaboul; Ahmet Tuysuzoglu; Carlos A Lopez; Frédéric F Little; M Selim Unlü
Journal:  Anal Chem       Date:  2013-03-20       Impact factor: 6.986

10.  A simulation-approximation approach to sample size planning for high-dimensional classification studies.

Authors:  Perry de Valpine; Hans-Marcus Bitter; Michael P S Brown; Jonathan Heller
Journal:  Biostatistics       Date:  2009-02-21       Impact factor: 5.899

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.