Literature DB >> 17320282

Discovery of cancer biomarkers through the use of mouse models.

Rork Kuick1, David E Misek, David J Monsma, Craig P Webb, Hong Wang, Kelli J Peterson, Michael Pisano, Gilbert S Omenn, Samir M Hanash.   

Abstract

Although our understanding of the molecular pathogenesis of common types of cancer has improved considerably, the development of effective strategies for cancer diagnosis and treatment have lagged behind. Mouse models of cancer potentially represent an efficient means for uncovering diagnostic markers as genetic alterations associated with human tumors can be engineered in mice. In addition, defined stages of tumor development, breeding conditions, and blood sampling can all be controlled and standardized to limit heterogeneity. Alternatively human cancer cells can be injected into mice and tumor development monitored in xenotransplants. Mouse-based studies promise to elucidate a repertoire of protein changes that occur in blood and biological fluids during tumor development. This is illustrated in a study in which we have applied a three-dimensional intact protein analysis system (IPAS) to elucidate detectable protein changes in serum from immunodeficient mice with lung xenografts from orthotopically implanted human A549 lung adenocarcinoma cells. With sufficiently detailed protein sequence identifications, the observed protein changes can be attributed to either the host mouse or the human tumor cells. It is noteworthy that the majority of increases identified have corresponded to relatively abundant serum proteins, some of which have previously been reported as increased in the sera of cancer patients. Proteomic studies of mouse models of cancer allow assessment of the range of changes in plasma proteins that occur with tumor development and may lead to the identification of potential cancer markers applicable to humans.

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Year:  2007        PMID: 17320282     DOI: 10.1016/j.canlet.2006.12.032

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  8 in total

Review 1.  Chemical compounds from anthropogenic environment and immune evasion mechanisms: potential interactions.

Authors:  Julia Kravchenko; Emanuela Corsini; Marc A Williams; William Decker; Masoud H Manjili; Takemi Otsuki; Neetu Singh; Faha Al-Mulla; Rabeah Al-Temaimi; Amedeo Amedei; Anna Maria Colacci; Monica Vaccari; Chiara Mondello; A Ivana Scovassi; Jayadev Raju; Roslida A Hamid; Lorenzo Memeo; Stefano Forte; Rabindra Roy; Jordan Woodrick; Hosni K Salem; Elizabeth P Ryan; Dustin G Brown; William H Bisson; Leroy Lowe; H Kim Lyerly
Journal:  Carcinogenesis       Date:  2015-05-22       Impact factor: 4.944

Review 2.  Proteomic contributions to personalized cancer care.

Authors:  John M Koomen; Eric B Haura; Gerold Bepler; Rebecca Sutphen; Elizabeth R Remily-Wood; Kaaron Benson; Mohamad Hussein; Lori A Hazlehurst; Timothy J Yeatman; Lynne T Hildreth; Thomas A Sellers; Paul B Jacobsen; David A Fenstermacher; William S Dalton
Journal:  Mol Cell Proteomics       Date:  2008-07-29       Impact factor: 5.911

Review 3.  Targeted proteomic strategy for clinical biomarker discovery.

Authors:  Ralph Schiess; Bernd Wollscheid; Ruedi Aebersold
Journal:  Mol Oncol       Date:  2008-12-11       Impact factor: 6.603

4.  Low-volume, high-throughput sandwich immunoassays for profiling plasma proteins in mice: identification of early-stage systemic inflammation in a mouse model of intestinal cancer.

Authors:  Sara Forrester; Kenneth E Hung; Rork Kuick; Raju Kucherlapati; Brian B Haab
Journal:  Mol Oncol       Date:  2007-09       Impact factor: 6.603

5.  Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models.

Authors:  Laetitia Ligat; Nathalie Saint-Laurent; Aïcha El-Mrani; Véronique Gigoux; Talal Al Saati; Richard Tomasini; Jérémy Nigri; Sébastien Dejean; Frédéric Pont; Romain Baer; Julie Guillermet-Guibert; Pierre Cordelier; Frédéric Lopez; Marlène Dufresne
Journal:  Br J Cancer       Date:  2015-10-29       Impact factor: 7.640

6.  Circulating microRNAs as biomarkers for early detection of diffuse-type gastric cancer using a mouse model.

Authors:  P Rotkrua; S Shimada; K Mogushi; Y Akiyama; H Tanaka; Y Yuasa
Journal:  Br J Cancer       Date:  2013-02-05       Impact factor: 7.640

7.  A simple and reliable protocol for mouse serum proteome profiling studies by use of two-dimensional electrophoresis and MALDI TOF/TOF mass spectrometry.

Authors:  Maria Stella Ritorto; Jürgen Borlak
Journal:  Proteome Sci       Date:  2008-09-12       Impact factor: 2.480

8.  A mouse plasma peptide atlas as a resource for disease proteomics.

Authors:  Qing Zhang; Rajasree Menon; Eric W Deutsch; Sharon J Pitteri; Vitor M Faca; Hong Wang; Lisa F Newcomb; Ronald A Depinho; Nabeel Bardeesy; Daniela Dinulescu; Kenneth E Hung; Raju Kucherlapati; Tyler Jacks; Katerina Politi; Ruedi Aebersold; Gilbert S Omenn; David J States; Samir M Hanash
Journal:  Genome Biol       Date:  2008-06-03       Impact factor: 13.583

  8 in total

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