Prior data about the influence of age at diagnosis of breast cancer on patient outcomes and survival has been conflicting. Using the Breast Cancer Outcomes Unit database at BC Cancer, this retrospective population-based study identified a cohort of 24,469 patients diagnosed with invasive breast cancer between 2005 and 2014. Median follow-up was 11.5 years. We analyzed clinical and pathological features at diagnosis and treatment specific variables compared across the following age cohorts: <35, 35-39, 40-49, 50-59, 60-69, 70-79, and 80 years of age and older. We assessed the impact of age on breast cancer specific survival (BCSS) and overall survival (OS) by age and subtype. There were distinct clinical-pathological and treatment pattern differences at both extremes of age at diagnosis. Patients <35 and 35-39 years old were more likely to present with higher risk features, HER2 positive or triple-negative biomarkers, and more advanced TNM stage at diagnosis. They were more likely to undergo treatment with mastectomy, axillary lymph node dissection, radiotherapy and chemotherapy. Conversely, patients ≥80 years old were generally more likely to have hormone-sensitive HER2-negative disease, and lower TNM stage at diagnosis. They were less likely to undergo surgery or be treated with radiotherapy and chemotherapy. Both younger and elderly age at breast cancer diagnosis were independent risk factors for poorer prognosis after controlling for subtype, LVI, stage, and treatment factors. This work will help clinicians to more accurately estimate patient outcomes, patterns of relapse, and provide evidence-based treatment recommendations.
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http://dx.doi.org/10.1016/j.breast.2023.06.001 | DOI Listing |
J Transl Med
January 2025
Department of Stem Cell and Regenerative Medicine, Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).
Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.
Chin Med
January 2025
Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Paclitaxel-induced peripheral neuropathy (PIPN) is prevalent among patients receiving paclitaxel chemotherapy, which results in sensory abnormality as well as neuropathic pain. Conventional medications lack effectiveness on PIPN. Clinical trials identified beneficial effects of acupuncture on PIPN among patients receiving chemotherapy.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Te Aka Whai Ora (Māori Health Authority), Auckland, New Zealand.
Background: Breast cancer screening in Aotearoa New Zealand (NZ) still has persistent inequitable coverage by ethnicity, especially for Indigenous Māori women. This project aimed to undertake systematic data linkage to identify and invite eligible Māori women to participate in breast screening.
Methods: This is a cross-sectional observational study conducted in Northern New Zealand between 1/01/2020 and 30/06/2021.
Cancer Cell Int
January 2025
Department of Neurosurgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China.
The tertiary lymphoid structure (TLS) is recognized as a potential prognosis factor for breast cancer and is strongly associated with response to immunotherapy. Inducing TLS neogenesis can enhance the immunogenicity of tumors and improve the efficacy of immunotherapy. However, our understanding of TLS associated region at the single-cell level remains limited.
View Article and Find Full Text PDFJ Transl Med
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, No.651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Background: HER2-targeted antibody-drug conjugates (ADCs) have revolutionized the treatment landscape of metastatic breast cancer. However, the efficacy of these therapies may be compromised by genomic alterations. Hence, this study aims to identify factors predicting sensitivity to HER2 ADC in metastatic breast cancer.
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