Literature DB >> 17011811

Methods and biomarkers for the diagnosis and prognosis of cancer and other diseases: towards personalized medicine.

Judy E Anderson1, Lise Lotte Hansen, Frank C Mooren, Markus Post, Hubert Hug, Anne Zuse, Marek Los.   

Abstract

The rapid development of new diagnostic procedures, the mapping of the human genome, progress in mapping genetic polymorphisms, and recent advances in nucleic acid- and protein chip technologies are driving the development of personalized therapies. This breakthrough in medicine is expected to be achieved largely due to the implementation of "lab-on-the-chip" technology capable of performing hundreds, even thousands of biochemical, cellular and genetic tests on a single sample of blood or other body fluid. Focusing on a few disease-specific examples, this review discusses selected technologies and their combinations likely to be incorporated in the "lab-on-the-chip" and to provide rapid and versatile information about specific diseases entities. Focusing on breast cancer and after an overview of single-nucleotide polymorphism (SNP)-screening methodologies, we discuss the diagnostic and prognostic importance of SNPs. Next, using Duchenne muscular dystrophy (DMD) as an example, we provide a brief overview of powerful and innovative integration of traditional immuno-histochemistry techniques with advanced biophysical methods such as NMR-spectroscopy or Fourier-transformed infrared (FT-IR) spectroscopy. A brief overview of the challenges and opportunities provided by protein and aptamer microarrays follows. We conclude by highlighting novel and promising biochemical markers for the development of personalized treatment of cancer and other diseases: serum cytochrome c, cytokeratin-18 and -19 and their proteolytic fragments for the detection and quantitation of malignant tumor mass, tumor cell turn-over, inflammatory processes during hepatitis and Epstein-Barr virus (EBV)-induced hemophagocytic lymphohistiocytosis and apoptotic/necrotic cancer cell death.

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Year:  2006        PMID: 17011811     DOI: 10.1016/j.drup.2006.08.001

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  9 in total

Review 1.  BH3 mimetics to improve cancer therapy; mechanisms and examples.

Authors:  Lin Zhang; Lihua Ming; Jian Yu
Journal:  Drug Resist Updat       Date:  2007-10-24       Impact factor: 18.500

2.  Choosing inclusion criteria that minimize the time and cost of clinical trials.

Authors:  Charles F Babbs
Journal:  World J Methodol       Date:  2014-06-26

Review 3.  The state of molecular biomarkers for the early detection of lung cancer.

Authors:  Mohamed Hassanein; J Clay Callison; Carol Callaway-Lane; Melinda C Aldrich; Eric L Grogan; Pierre P Massion
Journal:  Cancer Prev Res (Phila)       Date:  2012-06-11

4.  Therapeutic implications of targeting the PI3Kinase/AKT/mTOR signaling module in melanoma therapy.

Authors:  Ali R Jazirehi; Peter B Wenn; Mohsen Damavand
Journal:  Am J Cancer Res       Date:  2012-02-15       Impact factor: 6.166

Review 5.  Adult stem cells and their trans-differentiation potential--perspectives and therapeutic applications.

Authors:  Sabine Hombach-Klonisch; Soumya Panigrahi; Iran Rashedi; Anja Seifert; Esteban Alberti; Paola Pocar; Maciej Kurpisz; Klaus Schulze-Osthoff; Andrzej Mackiewicz; Marek Los
Journal:  J Mol Med (Berl)       Date:  2008-07-16       Impact factor: 4.599

Review 6.  Cancer stem cells as targets for cancer therapy: selected cancers as examples.

Authors:  Sabine Hombach-Klonisch; Ted Paranjothy; Emilia Wiechec; Paola Pocar; Tarek Mustafa; Anja Seifert; Christian Zahl; Klaus Luis Gerlach; Katharina Biermann; Klaus Steger; Cuong Hoang-Vu; Klaus Schulze-Osthoff; Marek Los
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2008-05-30       Impact factor: 4.291

Review 7.  TRAIL receptor-targeted therapeutics: resistance mechanisms and strategies to avoid them.

Authors:  Andrew Thorburn; Kian Behbakht; Heide Ford
Journal:  Drug Resist Updat       Date:  2008-04-18       Impact factor: 18.500

8.  Quantitative image analysis of immunohistochemical stains using a CMYK color model.

Authors:  Nhu-An Pham; Andrew Morrison; Joerg Schwock; Sarit Aviel-Ronen; Vladimir Iakovlev; Ming-Sound Tsao; James Ho; David W Hedley
Journal:  Diagn Pathol       Date:  2007-02-27       Impact factor: 2.644

9.  Indirect genomic effects on survival from gene expression data.

Authors:  Egil Ferkingstad; Arnoldo Frigessi; Heidi Lyng
Journal:  Genome Biol       Date:  2008-03-22       Impact factor: 13.583

  9 in total

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