Does Sequential vs Concurrent Treatment Change Outcomes in HER2+ Breast Cancer?
Outcomes for patients with HER2-positive breast cancer did not differ when treated with sequential chemotherapy plus trastuzumab compared with a concurrent approach.
ConclusionThis analysis represents the most comprehensive SLR/cNMA to date of published OS data in HER2+ EBC studies. These findings demonstrate why H/chemotherapy is now the established standard of care in HER2+ EBC. In the case of H, the benefits of early patient access far outweighed the risk of waiting for more precise information.Systematic review registrationPROSPEROCRD42017055763
We report the case of a 68-year-old Caucasian female with a family history of cancer. Core biopsy revealed that she had grade II oestrogen receptor-negative, Her2-positive invasive ductal carcinoma. She was offered neoadjuvant chemotherapy with Herceptin and subsequently underwent breast-conserving surgery. Microscopic examination of the post-treatment breast surgical specimen showed a partial pathological response with large areas of tumour regression. The sentinel lymph node showed frequent large single and multinucleate giant cells with hyperchromatic nuclei located predominantly within the subcapsular and medullary sin...
This study aimed to develop mathematical tools to predict the likelihood of recurrence after neoadjuvant chemotherapy (NAC) plus trastuzumab in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer.MethodsData of 776 patients from a multicenter retrospective cohort study were collected. All patients had HER2-positive breast cancer and received NAC plus trastuzumab between 2001 and 2010. Two mathematical tools using a machine learning method were developed to predict the likelihood of disease-free survival (DFS) (DFS model) and brain metastasis (BM) (BM model) within 5 years after surger...
ConclusionsAdjuvant trastuzumab improved LRC in patients with HER2-overexpressing breast cancer receiving adjuvant RT and cytotoxic chemotherapy, especially in hormone receptor-negative, HER2-enriched subtype, and high positive lymph node ratio breast cancer.
CONCLUSIONS: This model could be a helpful tool for the surgeon to help in predicting which cases have a higher likelihood of achieving a pathologically complete response and therefore selecting those who may benefit from a post-neoadjuvant chemotherapy sentinel lymph node biopsy and avoid unnecessary axillary lymphadenectomy. PMID: 30421628 [PubMed - as supplied by publisher]
ConclusionsCompared to NHW with the same subtype, NHB with HR+/HER2- and Hispanics with HR-/HER2- have higher odds of using chemotherapy; however, they are more likely to receive delayed chemotherapy, regardless of subtype. Whether the increased chemotherapy use among NHB with HR+/HER2- indicates overtreatment needs further investigation. Interventions to improve the timely chemotherapy among NHB and Hispanics are warranted.
Authors: Haque R, Xu X, Shi J, Kwan ML, Chlebowski RT Abstract Background: It is unknown how subsequent breast cancer outcomes vary by biologic subtype and race/ethnicity in a diverse cohort of breast cancer survivors. Methods: We conducted a prospective cohort study of 6,154 insured breast cancer survivors (AJCC TNM stages 0-IV) diagnosed between 1996-2007 and followed them through 1/1/2010 for subsequent breast cancer events (recurrence, contralateral breast cancer, metastasis, mortality). We compared subsequent breast cancer rates by race/ethnicity groups and biologic subtype (luminal A, luminal B, HER2-enri...
ConclusionsHistological analysis of recurrent disease is indispensable, since one-third of patients with hormone receptor positive breast cancer develop change in the receptor status.
ConclusionsCompared to the JHCR cohort, SV participants had higher risk cancers and a high frequency of comorbidities potentially associated with breast cancer and therapy. These high-risk patients may benefit most from specific interventions targeting survivorship care, and their experiences may help improve care delivery models.