Literature DB >> 18385729

Translating insights from the cancer genome into clinical practice.

Lynda Chin1, Joe W Gray.   

Abstract

Cancer cells have diverse biological capabilities that are conferred by numerous genetic aberrations and epigenetic modifications. Today's powerful technologies are enabling these changes to the genome to be catalogued in detail. Tomorrow is likely to bring a complete atlas of the reversible and irreversible alterations that occur in individual cancers. The challenge now is to work out which molecular abnormalities contribute to cancer and which are simply 'noise' at the genomic and epigenomic levels. Distinguishing between these will aid in understanding how the aberrations in a cancer cell collaborate to drive pathophysiology. Past successes in converting information from genomic discoveries into clinical tools provide valuable lessons to guide the translation of emerging insights from the genome into clinical end points that can affect the practice of cancer medicine.

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Year:  2008        PMID: 18385729      PMCID: PMC2730524          DOI: 10.1038/nature06914

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  91 in total

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Journal:  Nat Med       Date:  1998-10       Impact factor: 53.440

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3.  An arrayed human not I-EcoRV boundary library as a tool for RLGS spot analysis.

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Journal:  DNA Res       Date:  1997-06-30       Impact factor: 4.458

Review 4.  The genetics of programmed cell death in the nematode Caenorhabditis elegans.

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Journal:  Cold Spring Harb Symp Quant Biol       Date:  1994

5.  Identification of the breast cancer susceptibility gene BRCA2.

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Journal:  Nature       Date:  1995 Dec 21-28       Impact factor: 49.962

6.  An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis.

Authors:  Alejandro Sweet-Cordero; Sayan Mukherjee; Aravind Subramanian; Han You; Jeffrey J Roix; Christine Ladd-Acosta; Jill Mesirov; Todd R Golub; Tyler Jacks
Journal:  Nat Genet       Date:  2004-12-19       Impact factor: 38.330

7.  A strong candidate for the breast and ovarian cancer susceptibility gene BRCA1.

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Journal:  Science       Date:  1994-10-07       Impact factor: 47.728

Review 8.  Hereditary nonpolyposis colorectal cancer: the syndrome, the genes, and historical perspectives.

Authors:  G Marra; C R Boland
Journal:  J Natl Cancer Inst       Date:  1995-08-02       Impact factor: 13.506

9.  Homozygotes for CDKN2 (p16) germline mutation in Dutch familial melanoma kindreds.

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Journal:  Nat Genet       Date:  1995-07       Impact factor: 38.330

10.  PIK3CA is implicated as an oncogene in ovarian cancer.

Authors:  L Shayesteh; Y Lu; W L Kuo; R Baldocchi; T Godfrey; C Collins; D Pinkel; B Powell; G B Mills; J W Gray
Journal:  Nat Genet       Date:  1999-01       Impact factor: 38.330

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  127 in total

1.  Genomics: the breast cancer landscape.

Authors:  Joe Gray; Brian Druker
Journal:  Nature       Date:  2012-06-20       Impact factor: 49.962

2.  IntOGen: integration and data mining of multidimensional oncogenomic data.

Authors:  Gunes Gundem; Christian Perez-Llamas; Alba Jene-Sanz; Anna Kedzierska; Abul Islam; Jordi Deu-Pons; Simon J Furney; Nuria Lopez-Bigas
Journal:  Nat Methods       Date:  2010-02       Impact factor: 28.547

3.  PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities.

Authors:  Shilpa Nadimpalli Kobren; Bernard Chazelle; Mona Singh
Journal:  Cell Syst       Date:  2020-07-14       Impact factor: 10.304

4.  Loss of chromosome 9p21 and decreased p16 expression correlate with malignant gastrointestinal stromal tumor.

Authors:  Yun Zhang; Hui Cao; Ming Wang; Wen-Yi Zhao; Zhi-Yong Shen; Dan-Ping Shen; Xing-Zhi Ni; Zhi-Yong Wu; Yan-Ying Shen; Yan-Yan Song
Journal:  World J Gastroenterol       Date:  2010-10-07       Impact factor: 5.742

5.  Proteomic Interrogation in Cancer Biomarker.

Authors:  Un-Beom Kang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 6.  Epigenetic alterations in inflammatory bowel disease and cancer.

Authors:  Joo Mi Yi; Tae Oh Kim
Journal:  Intest Res       Date:  2015-04-27

7.  SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS.

Authors:  Ronglai Shen; Sijian Wang; Qianxing Mo
Journal:  Ann Appl Stat       Date:  2013-04-09       Impact factor: 2.083

8.  Integrative genome analysis reveals an oncomir/oncogene cluster regulating glioblastoma survivorship.

Authors:  Hyunsoo Kim; Wei Huang; Xiuli Jiang; Brenton Pennicooke; Peter J Park; Mark D Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-13       Impact factor: 11.205

9.  A network model of a cooperative genetic landscape in brain tumors.

Authors:  Markus Bredel; Denise M Scholtens; Griffith R Harsh; Claudia Bredel; James P Chandler; Jaclyn J Renfrow; Ajay K Yadav; Hannes Vogel; Adrienne C Scheck; Robert Tibshirani; Branimir I Sikic
Journal:  JAMA       Date:  2009-07-15       Impact factor: 56.272

10.  Monosomy of chromosome 10 associated with dysregulation of epidermal growth factor signaling in glioblastomas.

Authors:  Ajay K Yadav; Jaclyn J Renfrow; Denise M Scholtens; Hehuang Xie; George E Duran; Claudia Bredel; Hannes Vogel; James P Chandler; Arnab Chakravarti; Pierre A Robe; Sunit Das; Adrienne C Scheck; John A Kessler; Marcelo B Soares; Branimir I Sikic; Griffith R Harsh; Markus Bredel
Journal:  JAMA       Date:  2009-07-15       Impact factor: 56.272

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