Literature DB >> 23091538

Personalized medicine in breast cancer: a systematic review.

Sang-Hoon Cho1, Jongsu Jeon, Seung Il Kim.   

Abstract

The recent advent of "-omics" technologies have heralded a new era of personalized medicine. Personalized medicine is referred to as the ability to segment heterogeneous subsets of patients whose response to a therapeutic intervention within each subset is homogeneous. This new paradigm in healthcare is beginning to affect both research and clinical practice. The key to success in personalized medicine is to uncover molecular biomarkers that drive individual variability in clinical outcomes or drug responses. In this review, we begin with an overview of personalized medicine in breast cancer and illustrate the most encountered statistical approaches in the recent literature tailored for uncovering gene signatures.

Entities:  

Keywords:  Biomarker discovery; Breast neoplasms; Individualized medicine; Predictive biomarker; Prognostic biomarker

Year:  2012        PMID: 23091538      PMCID: PMC3468779          DOI: 10.4048/jbc.2012.15.3.265

Source DB:  PubMed          Journal:  J Breast Cancer        ISSN: 1738-6756            Impact factor:   3.588


  63 in total

1.  Chemosensitivity prediction by transcriptional profiling.

Authors:  J E Staunton; D K Slonim; H A Coller; P Tamayo; M J Angelo; J Park; U Scherf; J K Lee; W O Reinhold; J N Weinstein; J P Mesirov; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

2.  A generalized likelihood ratio test to identify differentially expressed genes from microarray data.

Authors:  Song Wang; Stewart Ethier
Journal:  Bioinformatics       Date:  2004-01-01       Impact factor: 6.937

3.  Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays.

Authors:  Nitin Jain; Jayant Thatte; Thomas Braciale; Klaus Ley; Michael O'Connell; Jae K Lee
Journal:  Bioinformatics       Date:  2003-10-12       Impact factor: 6.937

4.  Between-group analysis of microarray data.

Authors:  Aedín C Culhane; Guy Perrière; Elizabeth C Considine; Thomas G Cotter; Desmond G Higgins
Journal:  Bioinformatics       Date:  2002-12       Impact factor: 6.937

5.  Detecting differential gene expression with a semiparametric hierarchical mixture method.

Authors:  Michael A Newton; Amine Noueiry; Deepayan Sarkar; Paul Ahlquist
Journal:  Biostatistics       Date:  2004-04       Impact factor: 5.899

6.  Efficacy and safety of trastuzumab as a single agent in first-line treatment of HER2-overexpressing metastatic breast cancer.

Authors:  Charles L Vogel; Melody A Cobleigh; Debu Tripathy; John C Gutheil; Lyndsay N Harris; Louis Fehrenbacher; Dennis J Slamon; Maureen Murphy; William F Novotny; Michael Burchmore; Steven Shak; Stanford J Stewart; Michael Press
Journal:  J Clin Oncol       Date:  2002-02-01       Impact factor: 44.544

7.  Predicting the clinical status of human breast cancer by using gene expression profiles.

Authors:  M West; C Blanchette; H Dressman; E Huang; S Ishida; R Spang; H Zuzan; J A Olson; J R Marks; J R Nevins
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-18       Impact factor: 11.205

8.  Tumor classification by partial least squares using microarray gene expression data.

Authors:  Danh V Nguyen; David M Rocke
Journal:  Bioinformatics       Date:  2002-01       Impact factor: 6.937

9.  Measurement of gene expression in archival paraffin-embedded tissues: development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay.

Authors:  Maureen Cronin; Mylan Pho; Debjani Dutta; James C Stephans; Steven Shak; Michael C Kiefer; Jose M Esteban; Joffre B Baker
Journal:  Am J Pathol       Date:  2004-01       Impact factor: 4.307

10.  Developing optimal prediction models for cancer classification using gene expression data.

Authors:  Mat Soukup; Jae K Lee
Journal:  J Bioinform Comput Biol       Date:  2004-01       Impact factor: 1.122

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  26 in total

1.  Are We Ready for the Fourth Industrial Revolution?

Authors:  H-A Park
Journal:  Yearb Med Inform       Date:  2016-11-10

2.  Improving accuracy of diagnostic studies in a world with limited resources: a road ahead.

Authors:  Giuseppe Lippi; Mario Plebani
Journal:  Ann Transl Med       Date:  2016-02

Review 3.  Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward?

Authors:  Sonji Clarke; Michail Sideris; Elif Iliria Emin; Ece Emin; Apostolos Papalois; Fredric Willmott
Journal:  In Vivo       Date:  2019 Sep-Oct       Impact factor: 2.155

4.  Quantitative proteomics of breast tumors: Tissue quality assessment to clinical biomarkers.

Authors:  Yi Chen; David Britton; Elizabeth R Wood; Stephen Brantley; Anthony Magliocco; Ian Pike; John M Koomen
Journal:  Proteomics       Date:  2017-03       Impact factor: 3.984

5.  Quantification of Breast Cancer Protein Biomarkers at Different Expression Levels in Human Tumors.

Authors:  Yi Chen; David Britton; Elizabeth R Wood; Stephen Brantley; Michelle Fournier; Marek Wloch; Vonetta L Williams; Joseph Johnson; Anthony Magliocco; Ian Pike; John M Koomen
Journal:  Methods Mol Biol       Date:  2018

6.  Clinical Validation of BCT Scores With Prognostic Factors in Hormone Receptor-positive, HER2-negative Early Breast Cancer.

Authors:  Jeeyeon Lee; Won Hwa Kim; Ji-Young Park; Ho Yong Park; Jin Hyang Jung; Wan Wook Kim; Chan Sub Park; Ryu Kyung Lee; Jee Young Park; Yee Soo Chae; Soo Jung Lee; Hye Jung Kim
Journal:  In Vivo       Date:  2019 Nov-Dec       Impact factor: 2.155

7.  First Evidence for a Role of Siglec-8 in Breast Cancer.

Authors:  Anna Trebo; Nina Ditsch; Tom Degenhardt; Christina Kuhn; Martina Rahmeh; Elisa Schmoeckel; Doris Mayr; Bastian Czogalla; Thomas Kolben; Sarah Meister; Sven Mahner; Udo Jeschke; Anna Hester
Journal:  Int J Mol Sci       Date:  2021-02-18       Impact factor: 5.923

8.  NOD-scidIl2rg (tm1Wjl) and NOD-Rag1 (null) Il2rg (tm1Wjl) : a model for stromal cell-tumor cell interaction for human colon cancer.

Authors:  Justin Maykel; Jian Hua Liu; Hanchen Li; Leonard D Shultz; Dale L Greiner; JeanMarie Houghton
Journal:  Dig Dis Sci       Date:  2014-05-06       Impact factor: 3.199

9.  Personal genomes, quantitative dynamic omics and personalized medicine.

Authors:  George I Mias; Michael Snyder
Journal:  Quant Biol       Date:  2013-03

10.  Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine.

Authors:  Sudheer Gupta; Kumardeep Chaudhary; Rahul Kumar; Ankur Gautam; Jagpreet Singh Nanda; Sandeep Kumar Dhanda; Samir Kumar Brahmachari; Gajendra P S Raghava
Journal:  Sci Rep       Date:  2016-03-31       Impact factor: 4.379

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