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1.
Breast Cancer Res Treat ; 204(3): 607-615, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38238552

ABSTRACT

PURPOSE: The optimal time to initiation of adjuvant chemotherapy (TTAC) for triple negative breast cancer (TNBC) patients is unclear. This study evaluates the association between TTAC and survival in TNBC patients. METHODS: We conducted a retrospective study using data from a cohort of TNBC patients diagnosed between January 1, 2010 to December 31, 2018, registered in the Tumor Centre Regensburg was conducted. Data included demographics, pathology, treatment, recurrence and survival. TTAC was defined as days from primary surgery to first dose of adjuvant chemotherapy. The Kaplan-Meier method was used to evaluate impact of TTAC on overall survival (OS) and 5-year OS. RESULTS: A total of 245 TNBC patients treated with adjuvant chemotherapy and valid TTAC data were included. Median TTAC was 29 days. The group receiving systemic therapy within 22 to 28 days after surgery had the most favorable outcome, with median OS of 10.2 years. Groups receiving systemic therapy between 29-35 days, 36-42 days, and more than 6 weeks after surgery had significantly decreased median survival, with median OS of 8.3 years, 7.8 years, and 6.9 years, respectively. Patients receiving therapy between 22-28 days had significantly better survival compared to those receiving therapy between 29-35 days (p = 0.043), and patients receiving therapy after 22-28 days also demonstrated significantly better survival compared to those receiving therapy after more than 43 days (p = 0.033). CONCLUSION: Timing of adjuvant systemic therapy can influence OS in TNBC patients. Efforts should be made to avoid unnecessary delays in administering chemotherapy to ensure timely initiation of systemic therapy and optimize patient outcomes.


Subject(s)
Breast Neoplasms , Triple Negative Breast Neoplasms , Humans , Female , Triple Negative Breast Neoplasms/pathology , Retrospective Studies , Breast Neoplasms/pathology , Chemotherapy, Adjuvant/methods , Combined Modality Therapy , Neoplasm Staging
2.
J Cancer Res Clin Oncol ; 149(13): 11941-11950, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37418056

ABSTRACT

PURPOSE: For patients with triple negative breast cancer (TNBC), the optimal time to initiate neoadjuvant chemotherapy (TTNC) is unknown. This study evaluates the association between TTNC and survival in patients with early TNBC. METHODS: A retrospective study using data from of a cohort of TNBC patients diagnosed between January 1, 2010 to December 31, 2018 registered in the Tumor Centre Regensburg was performed. Data included demographics, pathology, treatment, recurrence, and survival. Interval to treatment was defined as days from pathology diagnosis of TNBC to first dose of neoadjuvant chemotherapy (NACT). The Kaplan-Meier and Cox regression methods were used to evaluate the impact of TTNC on overall survival (OS) and 5 year OS. RESULTS: A total of 270 patients were included. Median follow up was 3.5 years. The 5-year OS estimates according to TTNC were 77.4%, 66.9%, 82.3%, 80.6%, 88.3%, 58.3%, 71.1% and 66.7% in patients who received NACT within 0-14, 15-21, 22-28, 29-35, 36-42, 43-49, 50-56 and > 56 days after diagnosis. Patients who received systemic therapy early had the highest estimated mean OS of 8.4 years, while patients who received systemic therapy after more than 56 days survived an estimated 3.3 years. CONCLUSION: The optimal time interval between diagnosis and NACT remains to be determined. However, starting NACT more than 42 days after diagnosis of TNBC seems to reduce survival. Therefore, it is strongly recommended to carry out the treatment in a certified breast center with appropriate structures, in order to enable an adequate and timely care.


Subject(s)
Breast Neoplasms , Triple Negative Breast Neoplasms , Humans , Female , Neoadjuvant Therapy , Triple Negative Breast Neoplasms/pathology , Retrospective Studies , Breast Neoplasms/pathology , Neoplasm Staging , Antineoplastic Combined Chemotherapy Protocols , Prognosis , Chemotherapy, Adjuvant
3.
Breast Cancer Res Treat ; 153(3): 647-58, 2015 Oct.
Article in English | MEDLINE | ID: mdl-26369534

ABSTRACT

The aim of the present study was to evaluate to what extent the combination of standard histopathological parameters determines the biology of breast cancer and the effect on therapy and prognosis. The Clinical Cancer Registry Regensburg (Bavaria, Germany) included n = 4,480 female patients with primary, non-metastatic (M0) invasive breast cancer diagnosed between 2000 and 2012. Immuno-histochemical analyses, i.e., estrogen receptor (ER), progesterone receptor (PR), HER2, and Ki-67 (4-IHC), defined the tumor biological subtypes Luminal A, Luminal B, HER2-like, and Basal-like. Subtype-related differences in therapies and overall survival (OS) were analyzed using multivariable statistical methods. 4344 patients (97.0 %) could be classified into the four common tumor biological subtypes. The two most frequent entities were Luminal A (48.4 %), Luminal B (24.8 %), HER2-like (17.8 %), and Basal-like subtype (9.0 %). A multivariable Cox regression model showed that the best 7-year OS was seen in Luminal A patients and that OS of Luminal B and HER2-like patients was comparable (HR = 1.59, P < 0.001 versus HR = 1.51, P = 0.03). Lowest OS was seen in patients with Basal-like tumors (HR = 2.18, P < 0.001). In conclusion, the classification of tumor biological subtypes by the ER, PR, HER2, and Ki-67 biomarkers is practical in routine clinical work. Providing that quality assurance of these markers is ensured, this classification is useful for making therapy decisions in the routine clinical management of breast cancer patients.


Subject(s)
Biomarkers, Tumor , Breast Neoplasms/diagnosis , Breast Neoplasms/metabolism , Immunohistochemistry , Adult , Aged , Aged, 80 and over , Breast Neoplasms/mortality , Breast Neoplasms/therapy , Clinical Decision-Making , Cohort Studies , Female , Germany , Humans , Immunohistochemistry/methods , Kaplan-Meier Estimate , Middle Aged , Neoplasm Metastasis , Neoplasm Staging , Prognosis , Registries , Risk Factors , Tumor Burden
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