Literature DB >> 16892838

Neoadjuvant chemotherapy in women with large and locally advanced breast cancer: chemoresistance and prediction of response to drug therapy.

S Chuthapisith1, J M Eremin, M El-Sheemy, O Eremin.   

Abstract

Patients with large and locally advanced breast cancer (LLABC) present with a therapeutic challenge and undergo multimodality treatment. Many such patients receive neoadjuvant chemotherapy (NAC) prior to surgery. However, a number of these patients do not respond well to NAC and only a percentage (usually less than 30%) obtains a complete or optimal response. A range of mechanisms are believed to be involved in this chemoresistance, including ATP binding cassette (ABC) transporter overexpression, dysregulation of apoptosis and possibly increased numbers of cancer stem cells. The chemoresistant processes may be due to more than one mechanism. The ability to predict a response to NAC would be beneficial, targeting expensive and toxic drug treatment to those likely to respond and providing a therapeutic strategy for further post-operative chemotherapy. Currently, many biomarkers have been studied with a view to establishing a predictor of response. However, no single biomarker appears to be effective. Genomics is a novel biotechnological process which is being used to predict response to drug therapy; this work is currently at an early stage of development

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Year:  2006        PMID: 16892838     DOI: 10.1016/s1479-666x(06)80062-4

Source DB:  PubMed          Journal:  Surgeon        ISSN: 1479-666X            Impact factor:   2.392


  12 in total

1.  Preoperative Systemic Treatment in BRCA-Positive Breast Cancer Patients: Case Report and Review of the Literature.

Authors:  Sarah Schott; Christof Sohn; Andreas Schneeweiss; Joerg Heil
Journal:  Breast Care (Basel)       Date:  2011-10-13       Impact factor: 2.860

2.  Quantitative digital histopathology and machine learning to predict pathological complete response to chemotherapy in breast cancer patients using pre-treatment tumor biopsies.

Authors:  Khadijeh Saednia; Andrew Lagree; Marie A Alera; Lauren Fleshner; Audrey Shiner; Ethan Law; Brianna Law; David W Dodington; Fang-I Lu; William T Tran; Ali Sadeghi-Naini
Journal:  Sci Rep       Date:  2022-06-11       Impact factor: 4.996

3.  Mechanistic modelling of dynamic MRI data predicts that tumour heterogeneity decreases therapeutic response.

Authors:  R Venkatasubramanian; R B Arenas; M A Henson; N S Forbes
Journal:  Br J Cancer       Date:  2010-07-13       Impact factor: 7.640

4.  Hyaluronan-mediated CD44 interaction with p300 and SIRT1 regulates beta-catenin signaling and NFkappaB-specific transcription activity leading to MDR1 and Bcl-xL gene expression and chemoresistance in breast tumor cells.

Authors:  Lilly Y W Bourguignon; Weiliang Xia; Gabriel Wong
Journal:  J Biol Chem       Date:  2008-12-01       Impact factor: 5.157

5.  Hyaluronan-CD44 interaction with protein kinase C(epsilon) promotes oncogenic signaling by the stem cell marker Nanog and the Production of microRNA-21, leading to down-regulation of the tumor suppressor protein PDCD4, anti-apoptosis, and chemotherapy resistance in breast tumor cells.

Authors:  Lilly Y W Bourguignon; Christina C Spevak; Gabriel Wong; Weiliang Xia; Eli Gilad
Journal:  J Biol Chem       Date:  2009-07-24       Impact factor: 5.157

6.  Hyaluronan-CD44 interaction promotes c-Jun signaling and miRNA21 expression leading to Bcl-2 expression and chemoresistance in breast cancer cells.

Authors:  Liqun Chen; Lilly Y W Bourguignon
Journal:  Mol Cancer       Date:  2014-03-08       Impact factor: 27.401

7.  Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment.

Authors:  Hamidreza Taleghamar; Hadi Moghadas-Dastjerdi; Gregory J Czarnota; Ali Sadeghi-Naini
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

8.  CD133 is a useful surrogate marker for predicting chemosensitivity to neoadjuvant chemotherapy in breast cancer.

Authors:  Naoki Aomatsu; Masakazu Yashiro; Shinichiro Kashiwagi; Tsutomu Takashima; Tetsuro Ishikawa; Masahiko Ohsawa; Kenichi Wakasa; Kosei Hirakawa
Journal:  PLoS One       Date:  2012-09-25       Impact factor: 3.240

9.  Clinical response after two cycles compared to HER2, Ki-67, p53, and bcl-2 in independently predicting a pathological complete response after preoperative chemotherapy in patients with operable carcinoma of the breast.

Authors:  Gunter von Minckwitz; Hans-Peter Sinn; Günter Raab; Sibylle Loibl; Jens-Uwe Blohmer; Holger Eidtmann; Jörn Hilfrich; Elisabeth Merkle; Christian Jackisch; Serban D Costa; Angelika Caputo; Manfred Kaufmann
Journal:  Breast Cancer Res       Date:  2008-04-01       Impact factor: 6.466

10.  Carbonic anhydrase 9 is associated with chemosensitivity and prognosis in breast cancer patients treated with taxane and anthracycline.

Authors:  Naoki Aomatsu; Masakazu Yashiro; Shinichiro Kashiwagi; Hidemi Kawajiri; Tsutomu Takashima; Masahiko Ohsawa; Kenichi Wakasa; Kosei Hirakawa
Journal:  BMC Cancer       Date:  2014-06-04       Impact factor: 4.430

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