Literature DB >> 19914539

Integrating molecular profiling, histological type and other variables: defining the fingerprint of responsiveness to treatment.

Giuseppe Viale1.   

Abstract

The landscape of prognostication and prediction of responsiveness to systemic therapy for breast cancer patients has been recently enriched by the development of molecular assays, which enable to explore the whole universe of gene expression in the tumour cells and to unveil new prognostic and predictive markers. These molecular markers might well be used in combination with the established ones to address the many open questions that still pave the way to a truly personalized treatment. The actual clinical utility of the molecular assays is being tested in randomized clinical trials that require an unprecedented coordination of the activity of clinical investigators, pathologists and translational researchers worldwide.

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Year:  2009        PMID: 19914539     DOI: 10.1016/S0960-9776(09)70269-3

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  7 in total

1.  PET/CT and breast cancer subtypes.

Authors:  Laura Gilardi; Marco Colleoni; Giovanni Paganelli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-09       Impact factor: 9.236

2.  PET imaging of HER-2-positive tumours.

Authors:  Laura Gilardi; Giovanni Paganelli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11       Impact factor: 9.236

3.  Survival of de novo stage IV breast cancer patients over three decades.

Authors:  Dieter Hölzel; Renate Eckel; Ingo Bauerfeind; Bernd Baier; Thomas Beck; Michael Braun; Johannes Ettl; Ulrich Hamann; Nadia Harbeck; Marion Kiechle; Sven Mahner; Christian Schindlbeck; Johann de Waal; Jutta Engel
Journal:  J Cancer Res Clin Oncol       Date:  2016-11-16       Impact factor: 4.553

4.  Molecular subtypes of breast cancer: metabolic correlation with ¹⁸F-FDG PET/CT.

Authors:  Ana María García Vicente; Ángel Soriano Castrejón; Alberto León Martín; Ignacio Chacón López-Muñiz; Vicente Muñoz Madero; María del Mar Muñoz Sánchez; Azahara Palomar Muñoz; Ruth Espinosa Aunión; Ana González Ageitos
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-04-30       Impact factor: 9.236

5.  Correlation of Maximum Standardized Uptake Values in 18F-Fluorodeoxyglucose Positron Emission Tomography-computed Tomography Scan with Immunohistochemistry and Other Prognostic Factors in Breast Cancer.

Authors:  Zakir Ali Abubakar; Naveen Kumar Reddy Akepati; Prathyusha Bikkina
Journal:  Indian J Nucl Med       Date:  2019 Jan-Mar

6.  Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.

Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

7.  Membranous Nectin-4 expression is a risk factor for distant relapse of T1-T2, N0 luminal-A early breast cancer.

Authors:  R Lattanzio; R Ghasemi; F Brancati; R L Sorda; N Tinari; L Perracchio; S Iacobelli; M Mottolese; P G Natali; M Piantelli
Journal:  Oncogenesis       Date:  2014-09-01       Impact factor: 7.485

  7 in total

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