Post-neoadjuvant strategies in breast cancer: From risk assessment to treatment escalation

Giacomo Pelizzari1, Lorenzo Gerratana1, Debora Basile1

  • 1Dipartimento di Oncologia Clinica, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine (DAME), University of Udine, 33100 Udine, Italy.

Cancer Treatment Reviews
|November 12, 2018
PubMed

Insights

For early breast cancer patients with residual disease post-neoadjuvant treatment, new therapies are being explored. Biomarkers are crucial for identifying high-risk individuals who may benefit from these post-neoadjuvant strategies.

Area of Science:

  • Oncology
  • Clinical Trials
  • Breast Cancer Research

Background:

  • The post-neoadjuvant setting for early breast cancer (BC) patients with residual disease (RD) after primary treatment is a critical unmet need.
  • Limited standard therapies exist for managing high-risk BC patients who do not achieve pathologic complete response (pCR).
  • Current guidelines suggest considering capecitabine for specific subtypes, highlighting the need for further research.

Purpose of the Study:

  • To review emerging therapeutic options and ongoing clinical trials for early BC patients with RD post-neoadjuvant therapy.
  • To emphasize the importance of prognostic and predictive biomarkers for risk stratification and treatment selection.
  • To discuss the challenges and future directions in managing this patient population.

Main Methods:

  • Literature review of clinical trials and studies in the post-neoadjuvant setting for early breast cancer.
  • Analysis of current treatment strategies and emerging therapeutic agents.
  • Focus on biomarker research for patient selection and risk assessment.

Main Results:

  • Several novel agents, including platinum salts, PARP inhibitors, and immune checkpoint inhibitors, are under investigation.
  • Capecitabine has shown benefit in a phase III trial and is recommended for consideration, especially in triple-negative BC.
  • Biomarker validation is essential for identifying patients likely to benefit from post-neoadjuvant interventions.

Conclusions:

  • The post-neoadjuvant setting presents a vital opportunity for clinical trials in high-risk early breast cancer.
  • Effective risk stratification using biomarkers is paramount for optimizing treatment selection.
  • Continued research into novel therapies and biomarkers is necessary to improve outcomes for patients with residual disease.

Related Concept Videos

Treatment Strategies for Psychological Disorders01:24

Treatment Strategies for Psychological Disorders

Treatment approaches for psychological disorders fall into three main categories: psychological, biological, and sociocultural. Each approach targets different aspects of mental health, requiring varying levels of education and training.
Psychological therapies focus on modifying emotions, thoughts, and behaviors through talking, interpreting, listening, rewarding, challenging, and modeling. Clinical psychologists, counselors, and social workers commonly practice psychotherapy. Clinical...
776
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.8K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
404
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
326
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.1K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.5K