Background And Objective: There is a bidirectional association between neoplasia and venous thromboembolism (VTE). However, whether this association has an impact in tumor recurrence is unknown. The aim of the study is to assess the incidence of cancer recurrence after diagnosis of VTE and determine if VTE could be a marker for cancer recurrence.
Patients And Method: This was a retrospective cohort observational study. The observations were made in June 2008. The study included 132 patients diagnosed with a deep vein thrombosis (DVT) between January 2002 and December 2005 and had a cancer without activity in the last 12 months in their medical history. The cancer recurrence was assessed. The sample was divided according to the presence or absence of cancer recurrence and study variables were compared.
Results: The incidence of cancer recurrence after diagnosis with DVT was 50,7%. This recurrence occurred in the first 4 months in 55,2% and more frequent and earlier in patients with breast tumors (p:00014), with carcinoma (p:0,02), in patients under palliative chemotherapy and in patients with previous presence of metastasis. (p:0,00).
Conclusions: In 50,7% of patients without neoplasic activity in the last year, DVT was the first sign of tumor recurrence. These patients should be referred to an oncology department as soon as possible in order to diagnose the tumor recurrence.
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http://dx.doi.org/10.1016/j.medcli.2009.04.054 | DOI Listing |
BMC Cancer
January 2025
Department of Tumor Biology and Genetics, Medical University of Warsaw, Warsaw, Poland.
Aim: The study was designed to evaluate molecular alterations, relevant to the prognosis and personalized therapy of salivary gland cancers (SGCs).
Materials And Methods: DNA was extracted from archival tissue of 40 patients with various SGCs subtypes. A targeted next-generation sequencing (NGS) panel was used for the identification of small-scale mutations, focal and chromosomal arm-level copy number changes.
BMC Cancer
January 2025
Department of Urology, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Wuhou District, Chengdu, 610041, China.
Objective: Sarcopenia, a condition characterized by the gradual decline of muscle mass, strength, and function, is a key indicator of malnutrition in cancer patients and has been linked to poor prognoses in oncology. Sarcopenia is commonly assessed by measuring the skeletal muscle index (SMI) of the third lumbar spine (L3) using computed tomography (CT). This meta-analysis aimed to explore the relationship between low SMI and clinicopathological features, as well as prognosis, in individuals with endometrial cancer (EC).
View Article and Find Full Text PDFBMC Cancer
January 2025
Breast Surgery Department, Hangzhou Institute of Medicine, Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Adjuvant endocrine therapy (AET) is essential for improving survival and reducing mortality and recurrence rates in breast cancer (BrCa) patients. However, the adherence to AET among BrCa patients is poor, and there is no scale to measure adherence to AET or the reasons for non-adherence among BrCa patients in mainland China. The aim of this study was to assess the psychometric properties of the simple Chinese version of the Medication Adherence Reasons (MAR) scale in BrCa patients undergoing AET.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Background: Prostate cancer (PCa) is commonly occurred among males worldwide and its prognosis could be influenced by biochemical recurrence (BCR). MicroRNAs (miRNAs) are functional regulators in carcinogenesis, and miR-221-3p was reported as one of the significant candidates deregulated in PCa. However, its regulatory pattern in PCa BCR across literature reports was not consistent, and the targets and mechanisms in PCa malignant transition and BCR are less explored.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Purpose: We used knowledge discovery from radiomics of T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (T1C) for assessing relapse risk in patients with high-grade meningiomas (HGMs).
Methods: 279 features were extracted from each ROI including 9 histogram features, 220 Gy-level co-occurrence matrix features, 20 Gy-level run-length matrix features, 5 auto-regressive model features, 20 wavelets transform features and 5 absolute gradient statistics features. The datasets were randomly divided into two groups, the training set (~ 70%) and the test set (~ 30%).
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