Literature DB >> 15637130

Predictive markers in breast and other cancers: a review.

Michael J Duffy1.   

Abstract

BACKGROUND: Unpredictable efficacy and toxicity are hallmarks of most anticancer therapies. Predictive markers are factors that are associated with response or resistance to a particular therapy.
METHODS: The English literature relating to predictive markers in oncology was reviewed. Particular attention was paid to metaanalyses, systematic reviews, prospective trials, and guidelines issued by expert panels.
RESULTS: The prototype predictive tests in oncology are the estrogen receptor (ER) and progesterone receptor (PR), which are used to select patients with breast cancer likely to respond to hormone therapy. A more recently introduced predictive marker is HER-2 for selecting patients with advanced breast cancer for treatment with the therapeutic antibody trastuzumab (Herceptin). In adjuvant breast cancer, overproduction of HER-2 may also indicate an enhanced sensitivity to high-dose anthracycline-based regimens. On the other hand, in both early and advanced breast cancer, high concentrations of HER-2 appear to correlate with a lower probability of response to hormone therapy. Although many different anticancer drugs appear to mediate tumor regression by inducing apoptosis, there is currently no consistent evidence that any of the molecules implicated in this process can be used as predictive markers.
CONCLUSIONS: Currently, the only recommended predictive markers in oncology are ER and PR for selecting endocrine-sensitive breast cancers and HER-2 for identifying breast cancer patients with metastatic disease who may benefit from trastuzumab. For malignancies other than breast cancers, validated predictive markers do not exist at present.

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Year:  2005        PMID: 15637130     DOI: 10.1373/clinchem.2004.046227

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  34 in total

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Journal:  Am J Surg Pathol       Date:  2013-10       Impact factor: 6.394

2.  Should we select for genetic moral enhancement? A thought experiment using the MoralKinder (MK+) haplotype.

Authors:  Halley S Faust
Journal:  Theor Med Bioeth       Date:  2009-01-09

3.  Use of positron emission tomography to target prostate cancer gene therapy by oncolytic herpes simplex virus.

Authors:  Michael Mullerad; David P Eisenberg; Timothy J Akhurst; Prasad S Adusumilli; Christopher C Riedl; Amit Bhargava; Mithat Gonen; Ronald Finn; Peter T Scardino; Yuman Fong
Journal:  Mol Imaging Biol       Date:  2006 Jan-Feb       Impact factor: 3.488

4.  Assessing treatment-selection markers using a potential outcomes framework.

Authors:  Ying Huang; Peter B Gilbert; Holly Janes
Journal:  Biometrics       Date:  2012-02-02       Impact factor: 2.571

5.  Correlation of Molecular Subtypes of Invasive Ductal Carcinoma of Breast with Glucose Metabolism in FDG PET/CT: Based on the Recommendations of the St. Gallen Consensus Meeting 2013.

Authors:  Sun Seong Lee; Sang Kyun Bae; Yun Soo Park; Ji Sun Park; Tae Hyun Kim; Hye Kyoung Yoon; Hyo Jung Ahn; Seok Mo Lee
Journal:  Nucl Med Mol Imaging       Date:  2016-08-15

6.  Constitutively nuclear FOXO3a localization predicts poor survival and promotes Akt phosphorylation in breast cancer.

Authors:  Jie Chen; Ana R Gomes; Lara J Monteiro; San Yu Wong; Lai Han Wu; Ting-Ting Ng; Christina T Karadedou; Julie Millour; Ying-Chi Ip; Yuen Nei Cheung; Andrew Sunters; Kelvin Y K Chan; Eric W-F Lam; Ui-Soon Khoo
Journal:  PLoS One       Date:  2010-08-20       Impact factor: 3.240

7.  Activatable molecular systems using homologous near-infrared fluorescent probes for monitoring enzyme activities in vitro, in cellulo, and in vivo.

Authors:  Zongren Zhang; Jinda Fan; Philip P Cheney; Mikhail Y Berezin; W Barry Edwards; Walter J Akers; Duanwen Shen; Kexian Liang; Joseph P Culver; Samuel Achilefu
Journal:  Mol Pharm       Date:  2009 Mar-Apr       Impact factor: 4.939

8.  Cancer biomarker HER-2/neu in breast cancer in Indian women.

Authors:  Rajeev Singhai; Amit V Patil; Vinayak W Patil
Journal:  Breast Cancer (Dove Med Press)       Date:  2011-03-29

9.  Applications of machine learning in cancer prediction and prognosis.

Authors:  Joseph A Cruz; David S Wishart
Journal:  Cancer Inform       Date:  2007-02-11

10.  Antineoplastic effect of iodine in mammary cancer: participation of 6-iodolactone (6-IL) and peroxisome proliferator-activated receptors (PPAR).

Authors:  Carmen Aceves; Pablo García-Solís; Omar Arroyo-Helguera; Laura Vega-Riveroll; Guadalupe Delgado; Brenda Anguiano
Journal:  Mol Cancer       Date:  2009-06-06       Impact factor: 27.401

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