Profile, treatment patterns, and influencing factors of anthracycline use in breast cancer patients in China: A nation‐wide multicenter study

Abstract Background Anthracycline‐based chemotherapy (ABC) is one of the standard therapies against breast cancer. However, few guidelines are currently available to optimize the use of ABC. Therefore, the present analysis aimed at determining the profile and treatment patterns of ABC and the association of clinicopathological characteristics with ABC selection. Methods We retrospectively analyzed the data of a nation‐wide multicenter epidemiological study, which collected the medical records of breast cancer patients receiving chemotherapy in different settings from seven geographic regions in China (NCT03047889). Results In total, 3393 patients were included, with 2917 treated with ABC. Among them, 553 (89.8%), 2165 (81.7%), and 814 (25.7%) were subjected to ABC as neoadjuvant, adjuvant, and advanced chemotherapy, respectively. The most frequently used regimens were anthracycline‐taxane‐based combinations for neo‐ and adjuvant chemotherapy, along with taxanes and oral fluorouracils for the palliative stages. In the overall cohort, patients aged < 40 or 40‐65 (p < 0.001), in premenopause (p < 0.001), without comorbidities (p = 0.016), with invasive ductal carcinoma (p= 0.001), high lymph node involvement (p < 0.001), in the pTNM stage II, III, or IV versus stage I (p < 0.001), subjected to mastectomy (p < 0.001) or subjected to sentinel lymph node biopsy combined with axillary lymph node dissection (p = 0.044), or with a decreased disease‐free survival (p < 0.001) were more likely to be recommended to ABC. Conclusion Taken together, ABC remained the mainstay of breast cancer treatment, especially in neo and adjuvant therapy. ABC was mainly used as a combination therapy, and the correlation between influencing factors and ABC choice varied during different settings, indicating the preference and different perspectives of medication considered by medical oncologists regarding the use ABC in China.

Abstract licence: CC BY

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.