Role of proliferation in response to neoadjuvant chemotherapy in GEICAM/2006-03 and GEICAM/2006-14 breast cancer patients.

Authors

null

E. Alba

Hospital Clínico Universitario Virgen de la Victoria, Málaga, Spain

E. Alba , Joan Albanell , Jose Ignacio Chacon Lopez-Muniz , Lourdes Calvo , Juan De la Haba- Rodriguez , Pedro Sanchez Rovira , Arrate Plazaola , Agust Barnadas , Miguel Angel Seguí-Palmer , Angels Arcusa Lanza , Manuel Ramos Vazquez , Federico Rojo , Octavio Burgues , Bella Pajares , Begoña Bermejo , Alfonso Sanchez-Muñoz , Maria Isabel Casas , Rosalia Caballero , Eva Maria Carrasco , Ana Lluch

Organizations

Hospital Clínico Universitario Virgen de la Victoria, Málaga, Spain, Hospital del Mar, Barcelona, Spain, Hospital Virgen de la Salud (ONCOSUR), Toledo, Spain, CHU de A Coruña, A Coruna, Spain, Hospital Universitario Reina Sofía, Cordoba, Spain, Complejo Hospitalario de Jaén, Jaen, Spain, Onkologikoa, San Sebastián, Spain, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain, Corporació Sanitària Parc Taulí, Sabadell, Spain, Consorci Sanitari de Terrassa, Barcelona, Spain, Centro Oncológico de Galicia, A Coruña, Spain, Cancer Research Unit, Fundacion Jimenez Diaz, Madrid, Spain, Hospital C.U. de Valencia, Valencia, Spain, Hospital Universitario Virgen de la Victoria, Malaga, Spain, Hospital Clinico Universitario Valencia, Valencia, Spain, Spanish Breast Cancer Research Group- GEICAM, Madrid, Spain, Spanish Breast Cancer Research Group, GEICAM, San Sebastian De Los Reyes, Spain, GEICAM, Madrid, Spain, H C U de Valencia, Valencia, Spain

Research Funding

No funding sources reported
Background: Ki67 proliferation biomarker determined by immunohistochemistry (IHC) has been studied as a prognostic and predictive factor in Operable Breast Cancer (OBC). Ki67 modifications after neoadjuvant endocrine therapy have been correlated with long term outcome. However, there is no robust data about its predictive role in Neoadjuvant Chemotherapy (NC). In this study, we investigated Ki67 value as predictor of NC efficacy. Methods: 193 patients (pts) from 2 GEICAM phase II randomized trials (2006-03 and 2006-14) were included: 78 (40%) received epirubicine plus cyclophosphamide followed by docetaxel (EC-D), 41 (21%) EC-D plus carboplatin, and out of the 74 HER2+ pts, 37 (19%) received EC-D plus tratuzumab and 37 (19%) EC-D plus lapatinib. Median age was 49 years. From series, 87% were invasive ductal carcinoma, 58% premenopausal, 50% grade III, 23% luminal , 39% basal and 38% HER2+. Ki67 was centrally assessed by IHC (MIB1 clone) and median score was 40% (range 1-100%). Pathological Complete Response (pCR), defined as absence of invasive cells in breast and lymph nodes, was achieved in 56 pts (29%). Univariate and multivariate logistic regression models were used to study the association of each clinical-pathological variable with pCR. ROC curves were used to determine the most accurate ki67 cut-off for predicting NC response. Results: Ki67≥50% was defined as the most accurate threshold to select patients obtaining benefit from NC. In the univariate analysis, histological grade (p=0.01), treatment (P=0.006), ER (p<0.0001), PR (p<0.0001), HER2 (p=0.01), and Ki67≥50% (p=0.0003) were statistically associated with pCR. A multivariate logistic regression showed that only Ki67≥ 50% (p=0.0003; OR=5.4 CI95% 2.1-13.4), ER (p=0.0001; OR=0.2 CI95% 0.1-0.4), and HER2 status (p<0.0001; OR=8.8 CI95% 3.3-23.6) were predictive for pCR (AUC=0.7812). Conclusions: These results suggest that a high proliferation in breast cancer measured by Ki67 marker is an independent predictive factor for pCR in an unclassified HER2 population of OBC patients treated with NC.

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Abstract Details

Meeting

2012 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Tumor Biology

Track

Tumor Biology

Sub Track

Proteomic and Metabolomic Biomarkers

Citation

J Clin Oncol 30, 2012 (suppl; abstr 10616)

DOI

10.1200/jco.2012.30.15_suppl.10616

Abstract #

10616

Poster Bd #

52A

Abstract Disclosures