Prediction of response to neoadjuvant chemotherapy: New biomarker approaches and concepts

Carsten Denkert, Bruno Valentin Sinn, Yasmin Issa, Berit Maria Müller, Andrea Maisch, Michael Untch, Gunter Von Minckwitz, Sibylle Loibl

Research output: Contribution to journalReview articlepeer-review

11 Scopus citations

Abstract

About 10-25% of breast cancer patients achieve a pathologically confirmed complete response after neoadjuvant chemotherapy. Tissue samples of pretreatment core biopsies are a valuable resource for translational research aiming towards predictive biomarkers for selecting patients who are likely to benefit from neoadjuvant therapy. The German Breast Group (GBG) and the AGO-B Group (AGO = Working Group Gynecological Oncology) have extensive experience in conducting neoadjuvant clinical trials. Technologies as immunohistochemistry on tissue microarrays and standardized reverse transcription-polymerase chain reaction (RT-PCR) approaches on formalin-fixed paraffin-embedded samples allow high-throughput investigation of protein and mRNA biomarkers. With these approaches, we could demonstrate that molecular tumor subtypes and immunological infiltrates are valuable and independent predictors of therapy response. New biomarkers such as poly(ADP-ribose) polymerase (PARP) might be useful for the prediction of response to conventional and new targeted therapies. This review summarizes current research projects focusing on biomarker discovery in the neoadjuvant setting.

Original languageEnglish (US)
Pages (from-to)265-272
Number of pages8
JournalBreast Care
Volume6
Issue number4
DOIs
StatePublished - Aug 2011

Keywords

  • Breast cancer
  • Chemotherapy
  • Lymphocytes
  • Neoadjuvant
  • PARP

ASJC Scopus subject areas

  • Surgery
  • Oncology

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