Breast cancer assessment tools and optimizing adjuvant therapy

Nat Rev Clin Oncol. 2010 Dec;7(12):725-32. doi: 10.1038/nrclinonc.2010.170. Epub 2010 Oct 26.

Abstract

Recommendation of systemic adjuvant therapy and choice of optimal agents for early-stage breast cancer remains a challenge. Adjuvant therapy is indicated on the assumption of residual micrometastatic disease. Adjuvant assessment tools for prognosis and prediction of treatment benefit, including Adjuvant! Online, the St Gallen Consensus, Oncotype DX(®) and MammaPrint(®), aid clinical decision making. However, all of these tools have limitations that must be considered in their judicious application. Clinicopathological based tools are critically dependent on accurate, standardized measurement of parameters. Multigene tools are appealing for their objectivity and reproducibility, particularly regarding analysis of proliferation, but these approaches still overlook the biological heterogeneity within tumors evidenced by distinct cell subpopulations with different genomic patterns and function. The greatest treatment challenge remains for patients assessed as intermediate risk of relapse, a problem not overcome by multigene tools. Remarkable diversity in breast cancer dictates that adjuvant management must be biologically driven. Future identification of predictive biomarkers for specific chemotherapy sensitivity may allow targeted use of available agents, including anthracyclines, taxanes and DNA damaging agents. The presence of drug targets and targetable signaling pathways, rather than molecularly defined subgroups, may ultimately drive treatment decisions.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Antineoplastic Agents / pharmacology
  • Antineoplastic Agents / therapeutic use*
  • Biomarkers, Tumor
  • Breast Neoplasms / chemistry
  • Breast Neoplasms / drug therapy*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / therapy
  • Cell Division
  • Chemotherapy, Adjuvant*
  • Combined Modality Therapy
  • Drug Therapy, Computer-Assisted*
  • Female
  • Gene Expression Profiling*
  • Humans
  • Ki-67 Antigen / analysis
  • Neoplasm Proteins / analysis
  • Neoplasm Staging
  • Neoplasm, Residual
  • Practice Guidelines as Topic
  • Predictive Value of Tests
  • Prognosis
  • Receptor, ErbB-2 / analysis
  • Receptors, Estrogen / analysis
  • Receptors, Progesterone / analysis
  • Reproducibility of Results
  • Risk Assessment

Substances

  • Antineoplastic Agents
  • Biomarkers, Tumor
  • Ki-67 Antigen
  • Neoplasm Proteins
  • Receptors, Estrogen
  • Receptors, Progesterone
  • ERBB2 protein, human
  • Receptor, ErbB-2