29
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Polyphenols as Promising Drugs against Main Breast Cancer Signatures

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Breast cancer is one of the most common neoplasms worldwide, and in spite of clinical and pharmacological advances, it is still a clinical problem, causing morbidity and mortality. On the one hand, breast cancer shares with other neoplasms some molecular signatures such as an imbalanced redox state, cell cycle alterations, increased proliferation and an inflammatory status. On the other hand, breast cancer shows differential molecular subtypes that determine its prognosis and treatment. These are characterized mainly by hormone receptors especially estrogen receptors (ERs) and epidermal growth factor receptor 2 (HER2). Tumors with none of these receptors are classified as triple negative breast cancer (TNBC) and are associated with a worse prognosis. The success of treatments partially depends on their specificity and the adequate molecular classification of tumors. New advances in anticancer drug discovery using natural compounds have been made in the last few decades, and polyphenols have emerged as promising molecules. They may act on various molecular targets because of their promiscuous behavior, presenting several physiological effects, some of which confer antitumor activity. This review analyzes the accumulated evidence of the antitumor effects of plant polyphenols on breast cancer, with special attention to their activity on ERs and HER2 targets and also covering different aspects such as redox balance, uncontrolled proliferation and chronic inflammation.

          Related collections

          Most cited references206

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Mutant p53 in Cancer: New Functions and Therapeutic Opportunities

          Many different types of cancer show a high incidence of TP53 mutations, leading to the expression of mutant p53 proteins. There is growing evidence that these mutant p53s have both lost wild-type p53 tumor suppressor activity and gained functions that help to contribute to malignant progression. Understanding the functions of mutant p53 will help in the development of new therapeutic approaches that may be useful in a broad range of cancer types.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Gene-expression signatures in breast cancer.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Concordance among gene-expression-based predictors for breast cancer.

              Gene-expression-profiling studies of primary breast tumors performed by different laboratories have resulted in the identification of a number of distinct prognostic profiles, or gene sets, with little overlap in terms of gene identity. To compare the predictions derived from these gene sets for individual samples, we obtained a single data set of 295 samples and applied five gene-expression-based models: intrinsic subtypes, 70-gene profile, wound response, recurrence score, and the two-gene ratio (for patients who had been treated with tamoxifen). We found that most models had high rates of concordance in their outcome predictions for the individual samples. In particular, almost all tumors identified as having an intrinsic subtype of basal-like, HER2-positive and estrogen-receptor-negative, or luminal B (associated with a poor prognosis) were also classified as having a poor 70-gene profile, activated wound response, and high recurrence score. The 70-gene and recurrence-score models, which are beginning to be used in the clinical setting, showed 77 to 81 percent agreement in outcome classification. Even though different gene sets were used for prognostication in patients with breast cancer, four of the five tested showed significant agreement in the outcome predictions for individual patients and are probably tracking a common set of biologic phenotypes. Copyright 2006 Massachusetts Medical Society.
                Bookmark

                Author and article information

                Journal
                Antioxidants (Basel)
                Antioxidants (Basel)
                antioxidants
                Antioxidants
                MDPI
                2076-3921
                07 November 2017
                December 2017
                : 6
                : 4
                : 88
                Affiliations
                [1 ]Institute of Molecular and Cell Biology (IBMC), Miguel Hernández University (UMH), Avda. Universidad s/n, Elche 03202, Spain; mlosada@ 123456umh.es (M.L.-E.); mherranz@ 123456umh.es (M.H.-L.); vmicol@ 123456umh.es (V.M.)
                [2 ]CIBER, Fisiopatología de la Obesidad y la Nutrición, CIBERobn, Instituto de Salud Carlos III (CB12/03/30038), Palma de Mallorca 07122, Spain
                Author notes
                [* ]Correspondence: e.barrajon@ 123456umh.es ; Tel.: +34-965-222-586
                Author information
                https://orcid.org/0000-0002-9083-3692
                https://orcid.org/0000-0001-8113-0795
                Article
                antioxidants-06-00088
                10.3390/antiox6040088
                5745498
                29112149
                694e05e6-d674-42a1-8c98-4ffa01ac9dba
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 October 2017
                : 03 November 2017
                Categories
                Review

                breast cancer,polyphenols,luminal,tnbc,redox balance,apoptosis,autophagy,inflammation,er,her2

                Comments

                Comment on this article