Triple negative breast cancer (TNBC) is a subtype of breast cancer with poor prognosis. In this study, we aimed to conduct a nomogram to predict the survival of individual with TNBC by incorporating significant clinical and laboratory parameters. 404 TNBC patients from the Affiliated Union Hospital of Fujian Medical University between 2006 and 2012 were selected in the training cohort. Cox univariate and multivariate regression analyses were adopted to identify independent prognostic factors. The predictive accuracy and discriminative ability of this nomogram were evaluated by concordance index (C-index) and calibration curve. The accuracy of this nomogram was also compared with the 8 AJCC TNM staging system. An external validation cohort was further performed in an independent cohort of 200 patients between 2012 and 2014. Seven independent prognostic factors, including family history of breast cancer, tumor location, number of positive lymph nodes, histological grade, serum CEA, CA125 and CA153 were identified as independent prognostic factors. A nomogram incorporating these prognostic factors was subsequently conducted and the calibration plot on the probability for 3 or 5 years overall survival (OS) showed an optimal agreement between the nomogram prediction and actual observations. In addition, the C-index of this nomogram was higher than that of TNM staging system in both training and validation cohort (training cohort, 0.76 0.66, <0.001 and validation cohort, 0.72 0.64, =0.002, respectively). This proposed nomogram could provide more accurate individual prediction for the prognosis of the patients with TNBC and was able to help physicians to identify subgroups of patients at different risk and to decide who need intensive follow-up or additional treatment.
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http://dx.doi.org/10.18632/oncotarget.24964 | DOI Listing |
Ann Surg
January 2025
Wisconsin Surgical Outcomes Research Program, University of Wisconsin, Madison, WI.
Objective: To understand how breast cancer patients experience the surgical decision process and identify strategies surgeons can employ to empower patients to engage in decision-making.
Background: Patient engagement in decision-making is associated with improved patient outcomes. Although, some patients prefer that their healthcare provider drive the decision, the benefits of engaging in decision-making hold true even for patients who prefer to defer to their provider.
Cureus
December 2024
Pulmonary and Critical Care, Brody School of Medicine, East Carolina University, Greenville, USA.
Lung cancer is the third most prevalent cancer, following breast cancer in women and prostate cancer in men. However, it remains the leading cause of cancer-related mortality. As treatment options have advanced, the significance of accurate diagnosis has increased, enabling targeted and more personalized therapeutic treatments.
View Article and Find Full Text PDFFront Oncol
January 2025
The Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University, Binghamton, NY, United States.
Introduction: Circulating tumor cells (CTCs) have attracted significant interest as a biomarker for cancer diagnosis. In this study, we judiciously constructed a recombinant MUC1-dependent adenovirus (rAdF35-MUC1) that can selectively replicate and overexpress copepod super green fluorescent proteins (copGFP) in MUC1-positive tumor cells to investigate its role in the detection of CTCs.
Methods: We conducted a comparative study between rAdF35-MUC1 and the existing hTERT-dependent adenovirus (rAdF35-hTERT).
JACS Au
January 2025
UCIBIO-Applied Molecular Biosciences Unit, Department of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.
The mucin -glycan sialyl Tn antigen (sTn, Neu5Acα2-6GalNAcα1--Ser/Thr) is an antigen associated with different types of cancers, often linked with a higher risk of metastasis and poor prognosis. Despite efforts to develop anti-sTn antibodies with high specificity for diagnostics and immunotherapy, challenges in eliciting high-affinity antibodies for glycan structures have limited their effectiveness, leading to low titers and short protection durations. Experimental structural insights into anti-sTn antibody specificity are lacking, hindering their optimization for cancer cell recognition.
View Article and Find Full Text PDFJACS Au
January 2025
Department of Chemistry, Beckman Institute for Advanced Science and Technology, and Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, United States.
Cancer cells with high expression of aldehyde dehydrogenase 1A1 (ALDH1A1) are more resistant to chemotherapy, contribute to tumor progression, and are associated with poor clinical outcomes. ALDH1A1 plays a critical role in protecting cells from reactive aldehydes and, in the case of stem cells, regulates their differentiation through the retinoic acid signaling pathway. Despite the importance of this enzyme, methods to study ALDH1A1 high-expressing cancer cells in vivo remain limited.
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