Lessons on responsiveness to adjuvant systemic therapies learned from the neoadjuvant setting

被引:30
作者
Colleoni, Marco [1 ]
Viale, Giuseppe [2 ,3 ]
Goldhirsch, Aron
机构
[1] European Inst Oncol, Dept Med, Div Med Oncol, Unit Res Med Senol, I-20141 Milan, Italy
[2] European Inst Oncol, Div Pathol, I-20141 Milan, Italy
[3] Univ Milan, Sch Med, Milan, Italy
关键词
Predictive factors; Prognostic factors; Neoadjuvant therapy; Breast cancer; INTERNATIONAL EXPERT PANEL; STEROID-HORMONE RECEPTORS; OPERABLE BREAST-CANCER; PRIMARY CHEMOTHERAPY; GENE-EXPRESSION; PREOPERATIVE CHEMOTHERAPY; PROGNOSTIC-SIGNIFICANCE; PREDICTIVE MARKERS; ENDOCRINE THERAPY; COMPLETE RESPONSE;
D O I
10.1016/S0960-9776(09)70289-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Aims: Recommended principles for the choice of therapies in operable breast cancer include the recognition of diverse subtypes of breast cancer and, based on genetic signature and immunohistochemistry, the identification of targets and related factors predictive of response. We review recent developments in the knowledge of established predictive factors in the neo-adjuvant setting. Methods and Results: Experimental and clinical studies have shown that the degree of expression of estrogen receptor (ER) and progesterone receptor (PgR) of the primary tumor defines distinct biological entities that require a differentiated approach to neoadjuvant treatment and clinical trial investigation. In particular, tumors that express high levels of both steroid hormone receptors in a majority of cells derive no or low benefit from preoperative chemotherapy, while the absence of expression of ER and PgR was significantly correlated with the probability of pathologic complete remission (pCR). It was also demonstrated that the pCR rate to primary chemotherapy is significantly lower in invasive lobular carcinoma, frequently characterized by a high expression of steroid hormone receptors, if compared with the ductal histotype. Direct or indirect measures of high cell proliferation (elevated Ki-67 labeling index and high grade) identified patients with tumors responsive to chemotherapy in the preoperative setting. These factors might therefore assist in the identification of patients who might benefit from chemotherapy, in particular those patients with endocrine responsiveness. HER2 overexpression or amplification represents a target for neoadjuvant treatment with the humanised monoclonal antibody against its extracellular domain, but is also a factor predictive of response to neoadjuvant systemic therapies. A statistically significant positive correlation between HER2 positivity and pCR rate in patients treated with neoadjuvant chemotherapy was recently shown. Conclusions: Results from studies in the neoadjuvant setting indicate that the use of factors predictive of response may permit a more effective application of therapies identifying patients likely to obtain substantial benefit from treatment. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:S137 / S140
页数:4
相关论文
共 45 条
[41]   Neoadjuvant treatment of postmenopausal breast cancer with anastrozole, tamoxifen, or both in combination: The Immediate Preoperative Anastrozole, Tamoxifen, or Combined with Tamoxifen (IMPACT) multicenter double-blind randomized trial [J].
Smith, IE ;
Dowsett, M ;
Ebbs, SR ;
Dixon, JM ;
Skene, A ;
Blohmer, JU ;
Ashley, SE ;
Francis, S ;
Boeddinghaus, I ;
Walsh, G .
JOURNAL OF CLINICAL ONCOLOGY, 2005, 23 (22) :5108-5116
[42]   Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications [J].
Sorlie, T ;
Perou, CM ;
Tibshirani, R ;
Aas, T ;
Geisler, S ;
Johnsen, H ;
Hastie, T ;
Eisen, MB ;
van de Rijn, M ;
Jeffrey, SS ;
Thorsen, T ;
Quist, H ;
Matese, JC ;
Brown, PO ;
Botstein, D ;
Lonning, PE ;
Borresen-Dale, AL .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (19) :10869-10874
[43]   Response to neoadjuvant chemotherapy in lobular and ductal breast carcinomas:: a retrospective study on 860 patients from one institution [J].
Tubiana-Hulin, M. ;
Stevens, D. ;
Lasry, S. ;
Guinebretiere, J. M. ;
Bouita, L. ;
Cohen-Solal, C. ;
Cherel, P. ;
Rouesse, J. .
ANNALS OF ONCOLOGY, 2006, 17 (08) :1228-1233
[44]   Gene expression profiling predicts clinical outcome of breast cancer [J].
van't Veer, LJ ;
Dai, HY ;
van de Vijver, MJ ;
He, YDD ;
Hart, AAM ;
Mao, M ;
Peterse, HL ;
van der Kooy, K ;
Marton, MJ ;
Witteveen, AT ;
Schreiber, GJ ;
Kerkhoven, RM ;
Roberts, C ;
Linsley, PS ;
Bernards, R ;
Friend, SH .
NATURE, 2002, 415 (6871) :530-536
[45]  
Vincent-Salomon A, 2005, BREAST CANCER RES TR, V94, pS231