Literature DB >> 30514549

Imaging Biomarkers for Precision Medicine in Locally Advanced Breast Cancer.

William T Tran1, Charmaine Childs2, Heidi Probst2, Golnaz Farhat3, Gregory J Czarnota3.   

Abstract

Guidelines from the American National Comprehensive Cancer Network recommend neoadjuvant chemotherapy to patients with locally advanced breast cancer (LABC) to downstage tumours before surgery. However, only a small fraction (15%-17%) of LABC patients achieve pathological complete response (pCR); that is, no residual tumour in the breast, after treatment. Measuring tumour response during neoadjuvant chemotherapy can potentially help physicians adapt treatment, thus potentially improving the pCR rate. Recently, imaging biomarkers that are used to measure the tumour's functional and biological features have been studied as pretreatment markers for pCR or as an indicator for intratreatment tumour response. Also, imaging biomarkers have been the focus of intense research to characterise tumour heterogeneity as well as to advance our understanding of the principle mechanisms behind chemoresistance. Advances in investigational radiology are moving rapidly to high-resolution imaging, capturing metabolic data, and performing tissue characterisation and statistical modelling of imaging biomarkers, with an end point of personalised medicine in breast cancer treatment. In this commentary, we present studies within the framework of imaging biomarkers used to measure breast tumour response to chemotherapy. Current studies are showing that significant progress has been made in the accuracy of measuring tumour response either before or during chemotherapy, yet the challenges at the forefront of these works include translational gaps such as needing large-scale clinical trials for validation and standardisation of imaging methods. However, the ongoing research is showing that imaging biomarkers may play an important role in personalised treatments for LABC.
Copyright © 2018. Published by Elsevier Inc.

Entities:  

Keywords:  Imaging biomarkers; chemotherapy response; locally advanced breast cancer

Mesh:

Substances:

Year:  2018        PMID: 30514549     DOI: 10.1016/j.jmir.2017.09.006

Source DB:  PubMed          Journal:  J Med Imaging Radiat Sci        ISSN: 1876-7982


  4 in total

1.  Tumor mutation burden and JARID2 gene alteration are associated with short disease-free survival in locally advanced triple-negative breast cancer.

Authors:  Xiangmei Zhang; Jingping Li; Qing Yang; Yanfang Wang; Xinhui Li; Yunjiang Liu; Baoen Shan
Journal:  Ann Transl Med       Date:  2020-09

2.  A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.

Authors:  Hadi Moghadas-Dastjerdi; Hira Rahman Sha-E-Tallat; Lakshmanan Sannachi; Ali Sadeghi-Naini; Gregory J Czarnota
Journal:  Sci Rep       Date:  2020-07-02       Impact factor: 4.379

3.  Quantitative ultrasound radiomics in predicting response to neoadjuvant chemotherapy in patients with locally advanced breast cancer: Results from multi-institutional study.

Authors:  Daniel DiCenzo; Karina Quiaoit; Kashuf Fatima; Divya Bhardwaj; Lakshmanan Sannachi; Mehrdad Gangeh; Ali Sadeghi-Naini; Archya Dasgupta; Michael C Kolios; Maureen Trudeau; Sonal Gandhi; Andrea Eisen; Frances Wright; Nicole Look Hong; Arjun Sahgal; Greg Stanisz; Christine Brezden; Robert Dinniwell; William T Tran; Wei Yang; Belinda Curpen; Gregory J Czarnota
Journal:  Cancer Med       Date:  2020-06-29       Impact factor: 4.452

4.  Theranostic Attributes of Acoustic Cluster Therapy and Its Use for Enhancing the Effectiveness of Liposomal Doxorubicin Treatment of Human Triple Negative Breast Cancer in Mice.

Authors:  Nigel Bush; Andrew Healey; Anant Shah; Gary Box; Vladimir Kirkin; Sue Eccles; Per Christian Sontum; Spiros Kotopoulis; Svein Kvåle; Annemieke van Wamel; Catharina de Lange Davies; Jeffrey Bamber
Journal:  Front Pharmacol       Date:  2020-02-20       Impact factor: 5.810

  4 in total

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