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8篇 您的检索式：作者名="Mark Basik"

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		题名	作者	年代	出处	被引量
	1	The role of CXCR4 receptor expression in breast cancer: a large tissue microarray study显示文摘	Ombretta Salvucci Amélie Bouchard Andrea Baccarelli Jean Deschenes Guido Sauter Ronald Simon Rosella Bianchi Mark Basik	2006	Breast Cancer Research and Treatment2006，，3：	2
	2	The role of CXCR4 receptor expression in breast cancer: a large tissue microarray study显示文摘	Ombretta Salvucci Amélie Bouchard Andrea Baccarelli Jean Deschenes Guido Sauter Ronald Simon Rosella Bianchi Mark Basik	2006	Breast Cancer Research and Treatment2006，，3：	1
	3	Tissue microarrays: emerging standard for biomarker validation 显示文摘	Saima Hassan Cristiano Ferrario Aline Mamo and Mark Basik	2007	Current Opinion in Biotechnology2007，19，1：	1
	4	Making Sense of Intratumor Genetic Heterogeneity: Altered Frequency of Androgen Receptor CAG Repeat Length Variants in Breast Cancer Tissues显示文摘	Bruce Gottlieb Carlos Alvarado Chunlin Wang Baback Gharizadeh Farbod Babrzadeh Brent Richards Gerald Batist Mark Basik Lenore K. Beitel Mark Trifiro	2013	Human Mutation2013，，4：	1
	5	Are frailty markers useful for predicting treatment toxicity and mortality in older newly diagnosed cancer patients? Results from a prospective pilot study显示文摘	Martine T.E. Puts Johanne Monette Veronique Girre Carmela Pepe Michele Monette Sarit Assouline Lawrence Panasci Mark Basik Wilson H. Miller Gerald Batist Christina Wolfson Howard Bergman	2010	Critical Reviews in Oncology and Hematology2010，，2：	1
	6	ASCO sentinel node biopsy following neoadjuvant chemotherapy in biopsy proven node positive breast cancer: The SN FNAC study显示文摘	Jean-Francois Boileau Brigitte Poirier Mark Basik	2013	J Clin Oncol2013，31，：	1
	7	The role of CXCR4 receptor expression in breast cancer: a large tissue microarray study显示文摘	Ombretta Salvucci Amélie Bouchard Andrea Baccarelli Jean Deschenes Guido Sauter Ronald Simon Rosella Bianchi Mark Basik	2006	Breast Cancer Research and Treatment2006，，3：	1
	8	New insights into the role of intra-tumor genetic heterogeneity in carcinogenesis: identification of complex single gene variance within tumors显示文摘Aim:Present cancer hypotheses are almost all based on the concept that accumulation of specific driver gene mutations cause carcinogenesis.The discovery of intra-tumor genetic heterogeneity(ITGH),has resulted in this hypothesis being modified by assuming that most of these ITGH mutations are in passenger genes.In addition,accumulating ITGH data on driver gene mutations have revealed considerable genotype/phenotype disconnects.This study proposes to investigate this disconnect by examining the nature and degree of ITGH in breast tumors.Methods:ITGH was examined in tumors using next generation sequencing of up to 68,000 reads and analysis tools that allowed for identification of distinct minority variants within single genes,i.e.,complex single gene variance(CSGV).Results:CSGV was identified in the androgen receptor genes in all breast tumors examined.Conclusion:Evidence of CSGV suggests that a selection-as opposed to a mutation-centric hypothesis could better explain carcinogenesis.Our hypothesis proposes that tumors develop by the selection of preexisting de novo mutations rather than just the accumulation of de novo mutations.Thus,the role of selection pressures,such as changes in tissue microenvironments will likely be critical to our understanding of tumor resistance as well as the development of more effective treatment protocols.	Bruce Gottlieb Farbod Babrzadeh Kathleen Klein Oros Carlos Alvarado Chunlin Wang Baback Gharizadeh Mark Basik Celia MTGreenwood Lenore KBeitel Mark Trifiro	2018	Journal of Cancer Metastasis and Treatment2018，4，1：	0

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