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Itinai.com biomedical laboratory close up still scene close u fd75bc8f 7c64 495f bcb3 944db9509d75 2

Eribulin and Pyrotinib: New Hope for Trastuzumab-Resistant HER2-Positive Breast Cancer

Understanding the EPIC Trial Results

The EPIC trial studied the effects of combining two drugs, Eribulin and Pyrotinib, in patients with advanced HER2-positive breast cancer who did not respond to a previous treatment called trastuzumab. This information is important for both patients and doctors looking for new treatment options.

What Worked?

  • The combination treatment showed promising results for patients who had limited options.
  • The median progression-free survival (how long patients lived without their cancer worsening) was about 13.5 months.
  • More than half of the patients (56.7%) had a positive response to the treatment, meaning their cancer shrank or stabilized.
  • Most patients (80%) had their disease controlled for some time, and 73.3% experienced some clinical benefits.

What Didn’t Work?

  • 18 out of 30 patients experienced disease progression or death during the study.
  • While the treatment was generally safe, many patients faced side effects like low white blood cell counts, diarrhea, and nausea.

How Does This Help Patients and Clinics?

  • This combination offers a new treatment option for patients who have not responded to existing therapies.
  • Clinics can consider this treatment for patients facing limited choices.

Real-World Opportunities

  • Doctors can start offering this combination treatment to eligible patients with advanced HER2-positive breast cancer.
  • Hospitals may need to adjust protocols based on the results to incorporate new treatment options.

Measurable Outcomes

  • Track the duration of progression-free survival in patients receiving this treatment.
  • Monitor response rates and overall survival rates over time.
  • Document and manage side effects to improve patient care.

AI Tools for Tracking

  • Consider using AI tools for patient management software that can track treatment outcomes and side effects effectively.
  • AI can help analyze patient data to improve personalized treatment plans.

Step-by-Step Plan for Clinics

  1. Review the study results and assess the eligibility of current patients for this treatment.
  2. Start with a small group of patients to monitor effects closely.
  3. Gather feedback and adjust treatment plans based on patient responses and side effects.
  4. Expand the treatment to more patients once a successful process is established.
  5. Regularly update the clinic on new research findings to continually improve patient care.

For more detailed information about the research, you can read the full study here.

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