Literature DB >> 18467090

Predictive markers of response to neoadjuvant chemotherapy in breast cancer.

Mallika Tewari1, Arvind Krishnamurthy, Hari S Shukla.   

Abstract

Several randomized prospective studies on breast cancer patients have proved the safety of neoadjuvant chemotherapy. These trials have also demonstrated that tumor down staging does indeed improve the eligibility for breast conservative surgery without increasing local recurrence rates with possibly an improved survival. However, complete pathologic remissions are noted in only 3-30% of patients. About 20% of patients do not benefit from different chemotherapy regimens currently in use and are thus subjected to toxic drugs. This often leads to progression of disease and thereby the surgeon may lose a window of opportunity to obtain durable locoregional control of disease. Identification of predictive markers associated with pathologic complete response can help to distinguish patients with high or low probability of a response to treatment so that an individualized treatment plan can be implemented. It could also streamline the development of new alternative regimens for those who are unlikely to benefit from existing drugs. It is expected that a combination of markers will be more informative than a single one. So far, several factors have been studied as predictors for response to cytotoxic treatment, viz., tumor size, hormone (estrogen and progesterone) receptor status, tumor type and differentiation, HER2/cerB-2, tumor proliferation Ki-67, apoptosis related genes p53, bcl-2 and BAX; certain subgroups of breast cancer, and the latest in this category is gene expression profiling. However, in terms of prediction of drug responsiveness, data reported are still very limited. This review aims to discuss the current relevant literature on the subject.

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Year:  2008        PMID: 18467090     DOI: 10.1016/j.suronc.2008.03.003

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  30 in total

1.  ER, PgR, HER-2, Ki-67, topoisomerase IIα, and nm23-H1 proteins expression as predictors of pathological complete response to neoadjuvant chemotherapy for locally advanced breast cancer.

Authors:  Xi-ru Li; Mei Liu; Yan-jun Zhang; Jian-dong Wang; Yi-qiong Zheng; Jie Li; Bing Ma; Xin Song
Journal:  Med Oncol       Date:  2010-09-25       Impact factor: 3.064

2.  Detection of circulating tumor cell DNA for monitoring advanced gastric cancer.

Authors:  Riping Wu; Chunmei Shi; Qiang Chen; Fan Wu; Qiaolian Li
Journal:  Int J Clin Exp Pathol       Date:  2020-02-01

3.  Progesterone Receptors, Pathological Complete Response and Early Outcome for Locally Advanced Breast Cancer - a Single Centre Study. (PPLB - 01).

Authors:  Sanjit Agrawal; Lalit Banswal; Animesh Saha; Indu Arun; Soumitra Shankar Datta; Sanjoy Chatterjee; Rosina Ahmed
Journal:  Indian J Surg Oncol       Date:  2016-04-23

4.  The significance of expression of autophagy-related gene Beclin, Bcl-2, and Bax in breast cancer tissues.

Authors:  Qing Yao; Jianghao Chen; Yonggang Lv; Ting Wang; Juliang Zhang; Jing Fan; Ling Wang
Journal:  Tumour Biol       Date:  2011-08-23

5.  Tau expression correlated with breast cancer sensitivity to taxanes-based neoadjuvant chemotherapy.

Authors:  Kun Wang; Quan-Tong Deng; Ning Liao; Guo-Chun Zhang; Yan-Hui Liu; Fang-Ping Xu; Jian Zu; Xue-Rui Li; Yi-Long Wu
Journal:  Tumour Biol       Date:  2012-09-14

6.  Pilot trial of preoperative (neoadjuvant) letrozole in combination with bevacizumab in postmenopausal women with newly diagnosed estrogen receptor- or progesterone receptor-positive breast cancer.

Authors:  Andres Forero-Torres; Mansoor N Saleh; Janice A Galleshaw; Cheryl F Jones; Jatin J Shah; Ivor J Percent; Lisle M Nabell; John T Carpenter; Carla I Falkson; Helen Krontiras; Marshall M Urist; Kirby I Bland; Jennifer F De Los Santos; Ruby F Meredith; Valerie Caterinicchia; Wanda K Bernreuter; Janis P O'Malley; Yufeng Li; Albert F LoBuglio
Journal:  Clin Breast Cancer       Date:  2010-08-01       Impact factor: 3.225

7.  Treatment response to preoperative anthracycline-based chemotherapy in locally advanced breast cancer: the relevance of proliferation and apoptosis rates.

Authors:  Ksenija Kanjer; Svetislav Tatić; Zora Nešković-Konstantinović; Zaki Abu Rabi; Dragica Nikolić-Vukosavljević
Journal:  Pathol Oncol Res       Date:  2013-03-24       Impact factor: 3.201

8.  A model building exercise of mortality risk for Taiwanese women with breast cancer.

Authors:  Tsai W Chang; Yao L Kuo
Journal:  BMC Med Inform Decis Mak       Date:  2010-08-19       Impact factor: 2.796

9.  Image analysis algorithms for immunohistochemical assessment of cell death events and fibrosis in tissue sections.

Authors:  Maryla Krajewska; Layton H Smith; Juan Rong; Xianshu Huang; Marc L Hyer; Nikolajs Zeps; Barry Iacopetta; Steven P Linke; Allen H Olson; John C Reed; Stan Krajewski
Journal:  J Histochem Cytochem       Date:  2009-03-16       Impact factor: 2.479

10.  Emergence of single-molecule sequencing and potential for molecular diagnostic applications.

Authors:  Patrice M Milos
Journal:  Expert Rev Mol Diagn       Date:  2009-10       Impact factor: 5.225

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