Background: This retrospective study sought to define the incidence of brain metastases as a first site of recurrence among women with triple receptor-negative breast cancer (TNBC).
Methods: A total of 2448 patients with stage I through III TNBC who were diagnosed between 1990 and 2010 were identified. We computed the cumulative incidence of developing brain metastases as a first site of recurrence at 2 and 5 years. Cox proportional hazards models were fitted to determine factors that could predict for the development of brain metastases as a first site of recurrence. The Kaplan-Meier product limit method was used to compute survival following a diagnosis of brain metastases.
Results: At a median follow-up of 39 months, 115 (4.7%) patients had developed brain metastases as a first site of recurrence. The cumulative incidence at 2 and 5 years was 3.7% (95% confidence interval [CI] = 2.9%-4.5%) and 5.4% (95% CI = 4.4%-6.5%), respectively. Among patients with stage I, II, and III disease, the 2-year cumulative incidence of brain metastases was 0.8%, 3.1%, and 8%, respectively (P < .0001). The 5-year cumulative incidence was 2.8%, 4.6%, and 9.6% among patients with stage I, II, and III disease, respectively (P < .0001). In the multivariable model, patients with stage III disease had a significant increase in the risk of developing brain metastases as a first site of recurrence (hazards ratio = 3.51; 95% CI = 1.85-6.67; P = .0001) compared to patients with stage I disease. Those with stage II disease had a nonsignificant increased risk of developing brain metastases as a first site of recurrence (hazards ratio = 1.61; 95% CI = 0.92-2.81; P = .10) compared with patients with stage I disease. Median survival following a diagnosis of brain metastases was 7.2 months (range, 5.7-9.4 months).
Conclusions: Patients with nonmetastatic TNBC have a high early incidence of developing brain metastases as a first site of recurrence, which is associated with subsequent poor survival. Patients with stage III TNBC in particular would be an ideal cohort in which to research preventive strategies.
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http://dx.doi.org/10.1002/cncr.27434 | DOI Listing |
Brief Bioinform
November 2024
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200092, P. R. China.
Cancer immunotherapies rely on CD8 cytolytic T lymphocytes (CTLs) in recognition and eradication of tumor cells via antigens presented on major histocompatibility complex class I (MHC-I) molecules. However, we observe MHC-I deficiency in human and murine urologic tumors, posing daunting challenges for successful immunotherapy. We herein report an unprecedented nanosonosensitizer of one-dimensional bamboo-like multisegmented manganese dioxide@manganese-bismuth vanadate (BMMBV) to boost multiple branches of immune responses targeting MHC-I-deficient tumors.
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January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFInt J Gynecol Cancer
January 2025
Helsinki University Hospital and University of Helsinki, Department of Obstetrics and Gynecology, Helsinki, Finland; University of Helsinki, Faculty of Medicine, Helsinki University Hospital and Research Program in Applied Tumor Genomics, Department of Pathology, Helsinki, Finland.
Objective: Endometrial carcinomas with mismatch repair deficiency (MMRd) and no specific molecular profile (NSMP) are considered to have intermediate prognoses. However, potential prognostic differences between these molecular subgroups remain unclear due to the lack of standardized control for clinicopathologic factors. This study aims to evaluate outcomes of MMRd and NSMP endometrial carcinomas across guideline-based clinicopathologic risk groups.
View Article and Find Full Text PDFMicrosurgery
February 2025
Plastic and Reconstructive Surgery, Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Background: Scalp reconstruction is a challenging field for plastic surgeons. In case of large or complex defects, microsurgical-free flaps are usually required. Reconstructive failure can result in high morbidity and in some cases be life-threatening.
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