Theoretically, time from breast cancer diagnosis to therapeutic surgery should affect survival. However, it is unclear whether this holds true in a modern healthcare setting in which breast cancer surgery is carried out within weeks to months of diagnosis. This is a population- and register-based study of all women diagnosed with invasive breast cancer in the Stockholm-Gotland healthcare region in Sweden, 2001-2008, and who were initially operated. Follow-up of vital status ended 2014. 7,017 women were included in analysis. Our main outcome was overall survival. Main analyses were carried out using Cox proportional hazards models. We adjusted for likely confounders and stratified on mode of detection, tumor size and lymph node metastasis. We found that a longer interval between date of morphological diagnosis and therapeutic surgery was associated with a poorer prognosis. Assuming a linear association, the hazard rate of death from all causes increased by 1.011 (95% CI 1.006-1.017) per day. Comparing, for example, surgery 6 weeks after diagnosis to surgery 3 weeks after diagnosis, thereby confers a 1.26-fold increased hazard rate. The increase in hazard rate associated with surgical delay was strongest in women with largest tumors. Whilst there was a clear association between delays and survival in women without lymph node metastasis, the association may be attenuated in subgroups with increasing number of lymph node metastases. We found no evidence of an interaction between time to surgery and mode of detection. In conclusion, unwarranted delays to primary treatment of breast cancer should be avoided.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ijc.31411DOI Listing

Publication Analysis

Top Keywords

breast cancer
24
diagnosis therapeutic
12
therapeutic surgery
12
lymph node
12
hazard rate
12
time breast
8
cancer diagnosis
8
mode detection
8
node metastasis
8
surgery weeks
8

Similar Publications

Gene Polymorphisms in Greek Primary Breast Cancer Patients.

Front Biosci (Schol Ed)

December 2024

Institute for Health and Sport, Victoria University, Melbourne, VIC 3030, Australia.

Background: Breast cancer is a heterogeneous disease with distinct clinical subtypes, categorized by hormone receptor status, which exhibits different prognoses and requires personalized treatment approaches. These subtypes included luminal A and luminal B, which have different prognoses. Breast cancer development and progression involve many factors, including interferon-gamma ().

View Article and Find Full Text PDF

Objective: The current study aimed to develop an experimental approach for the direct co-culture of three-dimensional breast cancer cells using single-cell RNA sequencing (scRNA-seq).

Methods: The following four cell culture groups were established in the Matrigel matrix: the untreated Michigan Cancer Foundation (MCF)-7 cell culture group, the MCF-7 cell culture plus cisplatin group, the untreated co-culture group, and the cell co-culture plus cisplatin group. For cell co-culture, MCF-7 cells, human mammary fibroblasts, and human umbilical vein endothelial cells were mixed at a ratio of 1:1:1.

View Article and Find Full Text PDF

Clinical Relevance and Drug Modulation of PPAR Signaling Pathway in Triple-Negative Breast Cancer: A Comprehensive Analysis.

PPAR Res

December 2024

Department of Laboratory Medicine, The Sixth School of Clinical Medicine, The Affiliated Qingyuan Hospital (Qingyuan People's Hospital), Guangzhou Medical University, Qingyuan, China.

Triple-negative breast cancer (TNBC) is highly heterogeneous and poses a significant medical challenge due to limited treatment options and poor outcomes. Peroxisome proliferator-activated receptors (PPARs) play a crucial role in regulating metabolism and cell fate. While the association between PPAR signal and human cancers has been a topic of concern, its specific relationship with TNBC remains unclear.

View Article and Find Full Text PDF

Previous studies have demonstrated that many healthcare workers in low- and middle-income countries (LMICs) lack the appropriate training and knowledge to recognize and diagnose breast cancer at an early stage. As a result, women in LMICs are frequently diagnosed with late-stage breast cancer (Stage III/IV) with a poor prognosis. We hosted a 1-day breast cancer educational conference directed towards healthcare workers in Honduras.

View Article and Find Full Text PDF

Deep learning identification of novel autophagic protein-protein interactions and experimental validation of Beclin 2-Ubiquilin 1 axis in triple-negative breast cancer.

Oncol Res

December 2024

Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China.

Background: Triple-negative breast cancer (TNBC), characterized by its lack of traditional hormone receptors and HER2, presents a significant challenge in oncology due to its poor response to conventional therapies. Autophagy is an important process for maintaining cellular homeostasis, and there are currently autophagy biomarkers that play an effective role in the clinical treatment of tumors. In contrast to targeting protein activity, intervention with protein-protein interaction (PPI) can avoid unrelated crosstalk and regulate the autophagy process with minimal interference pathways.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!