Literature DB >> 23099557

Unleashing the power of proteomics to develop blood-based cancer markers.

Ayumu Taguchi1, Samir M Hanash.   

Abstract

BACKGROUND: There is an urgent need for blood-based molecular tests to assist in the detection and diagnosis of cancers at an early stage, when curative interventions are still possible, and to predict and monitor response to treatment and disease recurrence. The rich content of proteins in blood that are impacted by tumor development and host factors provides an ideal opportunity to develop noninvasive diagnostics for cancer. CONTENT: Mass spectrometry instrumentation has advanced sufficiently to allow the discovery of protein alterations directly in plasma across no less than 7 orders of magnitude of protein abundance. Moreover, the use of proteomics to harness the immune response in the form of seropositivity to tumor antigens has the potential to complement circulating protein biomarker panels for cancer detection. The depth of analysis currently possible in a discovery setting allows the detection of potential markers at concentrations of less than 1 μg/L. Such low concentrations may exceed the limits of detection of ELISAs and thus require the development of clinical assays with exquisite analytical sensitivity. Clearly the availability for discovery and validation of biospecimens that are highly relevant to the intended clinical application and have been collected, processed, and stored with the use of standard operating procedures is of crucial importance to the successful application of proteomics to the development of blood-based tests for cancer.
SUMMARY: The realization of the potential of proteomics to yield blood biomarkers will benefit from a collaborative approach and a substantial investment in resources.
© 2012 American Association for Clinical Chemistry

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Year:  2012        PMID: 23099557      PMCID: PMC5939937          DOI: 10.1373/clinchem.2012.184572

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  58 in total

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Journal:  N Biotechnol       Date:  2012-06-02       Impact factor: 5.079

2.  Sensitive detection of proteins using assembled cascade fluorescent DNA nanotags based on rolling circle amplification.

Authors:  Qingwang Xue; Zhenguang Wang; Lei Wang; Wei Jiang
Journal:  Bioconjug Chem       Date:  2012-03-15       Impact factor: 4.774

3.  Early lung cancer action project: initial findings on repeat screenings.

Authors:  C I Henschke; D P Naidich; D F Yankelevitz; G McGuinness; D I McCauley; J P Smith; D Libby; M Pasmantier; M Vazquez; J Koizumi; D Flieder; N Altorki; O S Miettinen
Journal:  Cancer       Date:  2001-07-01       Impact factor: 6.860

4.  Malignant versus benign nodules at CT screening for lung cancer: comparison of thin-section CT findings.

Authors:  Feng Li; Shusuke Sone; Hiroyuki Abe; Heber Macmahon; Kunio Doi
Journal:  Radiology       Date:  2004-10-21       Impact factor: 11.105

Review 5.  Metabolomics: available results, current research projects in breast cancer, and future applications.

Authors:  Wederson Marcos Claudino; Alessandro Quattrone; Laura Biganzoli; Marta Pestrin; Ivano Bertini; Angelo Di Leo
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6.  Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography.

Authors:  M Kaneko; K Eguchi; H Ohmatsu; R Kakinuma; T Naruke; K Suemasu; N Moriyama
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

7.  Matrix-insensitive protein assays push the limits of biosensors in medicine.

Authors:  Richard S Gaster; Drew A Hall; Carsten H Nielsen; Sebastian J Osterfeld; Heng Yu; Kathleen E Mach; Robert J Wilson; Boris Murmann; Joseph C Liao; Sanjiv S Gambhir; Shan X Wang
Journal:  Nat Med       Date:  2009-10-11       Impact factor: 53.440

8.  Lung cancer screening with low-dose computed tomography: Canadian experience.

Authors:  Heidi C Roberts; Demetris Patsios; Narinder S Paul; Maureen McGregor; Gordon Weisbrod; Taebong Chung; Steven Herman; Scott Boerner; Thomas Waddell; Shafique Keshavjee; Gail Darling; Andre Pereira; Ashwini Kale; Hamid Bayanati; Igor Sitartchouk; Ming Tsao; Frances A Shepherd
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Journal:  Genome Biol       Date:  2006-08-10       Impact factor: 13.583

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  8 in total

1.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

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Review 2.  Insights on Proteomics-Driven Body Fluid-Based Biomarkers of Cervical Cancer.

Authors:  Amrita Mukherjee; Chinmayi Bhagwan Pednekar; Siddhant Sujit Kolke; Megha Kattimani; Subhiksha Duraisamy; Ananya Raghu Burli; Sudeep Gupta; Sanjeeva Srivastava
Journal:  Proteomes       Date:  2022-04-29

Review 3.  An evaluation of the National Institutes of Health grants portfolio: identifying opportunities and challenges for multi-omics research that leverage metabolomics data.

Authors:  Catherine T Yu; Brittany N Chao; Rolando Barajas; Majda Haznadar; Padma Maruvada; Holly L Nicastro; Sharon A Ross; Mukesh Verma; Scott Rogers; Krista A Zanetti
Journal:  Metabolomics       Date:  2022-04-30       Impact factor: 4.747

Review 4.  Use of blood-based biomarkers for early diagnosis and surveillance of colorectal cancer.

Authors:  Ganepola Ap Ganepola; Joel Nizin; John R Rutledge; David H Chang
Journal:  World J Gastrointest Oncol       Date:  2014-04-15

5.  Positive association between lymphotoxin-alpha variation rs909253 and cancer risk: a meta-analysis based on 36 case-control studies.

Authors:  Xi Yu; Yi Huang; Changhong Li; Hailian Yang; Caide Lu; Shiwei Duan
Journal:  Tumour Biol       Date:  2013-10-18

6.  Optimization and Standardization of Thermal Treatment as a Plasma Prefractionation Method for Proteomic Analysis.

Authors:  Wararat Chiangjong; Channarong Changtong; Jirawan Panachan; Churat Weeraphan; Chantragan Srisomsap; Suradej Hongeng; Jisnuson Svasti; Somchai Chutipongtanate
Journal:  Biomed Res Int       Date:  2019-04-30       Impact factor: 3.411

7.  Investigating a novel multiplex proteomics technology for detection of changes in serum protein concentrations that may correlate to tumor burden.

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Journal:  F1000Res       Date:  2020-07-20

8.  The Application of SILAC Mouse in Human Body Fluid Proteomics Analysis Reveals Protein Patterns Associated with IgA Nephropathy.

Authors:  Shilin Zhao; Rongxia Li; Xiaofan Cai; Wanjia Chen; Qingrun Li; Tao Xing; Wenjie Zhu; Y Eugene Chen; Rong Zeng; Yueyi Deng
Journal:  Evid Based Complement Alternat Med       Date:  2013-05-15       Impact factor: 2.629

  8 in total

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