Soft-tissue sarcomas are malignant tumors that require good management within specialized centers. Our study aims to assess the benefit of handling these kinds of tumors using the Multidisciplinary Meeting (MDM) approach. The current paper details this approach through a prospective study that has lasted for 42 months in the HASSAN II University Hospital Center, Fez, Morocco. During this research work, 116 cases were selected with an average age of 53 years. In 95.7% of the cases, it was found that the lower limb was the most frequent tumor type (78.4%). Also, ninety-two (92) patients (79.3%) have had a prior biopsy. Ninety-nine (99) patients (85.3%) have received a magnetic resonance imaging scan (MRI) before surgery. Sixty-three (63) patients were operated on, including R0 resection used for 37 patients, R1 used for 21 patients, and R2 used for five patients. As a result, liposarcomas were the most frequent type (30.1%), followed by synovial sarcomas (14.6%), leiomyosarcomas (9.5%), ewing sarcoma (8.6), and undifferentiated pleomorphic sarcomas (7.7%). In addition, neoadjuvant chemotherapy was used for 36 patients. The other 22 patients received adjuvant chemotherapy and/or radiotherapy. The overall survival rate was 60.56 months, which proves a significant improvement, thanks to the multidisciplinary meeting approach. . The conducted investigation has shown that using MDM for managing soft-tissue sarcomas of extremities improves the patients' survival rate. Moreover, results have proven MDM might allow optimal treatment regarding less local recurrence and metastasis.
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http://dx.doi.org/10.1155/2021/8871557 | DOI Listing |
Nat Commun
December 2024
Department of Biochemistry, McGill University, Montreal, QC, Canada.
Proteostasis is maintained through regulated protein synthesis and degradation and chaperone-assisted protein folding. However, this is challenging in neuronal projections because of their polarized morphology and constant synaptic proteome remodeling. Using high-resolution fluorescence microscopy, we discover that hippocampal and spinal cord motor neurons of mouse and human origin localize a subset of chaperone mRNAs to their dendrites and use microtubule-based transport to increase this asymmetric localization following proteotoxic stress.
View Article and Find Full Text PDFEchocardiography
January 2025
Echocardiography Department, National Institute of Cardiology Ignacio Chávez, México City, México.
We present a case of a 72-year-old female patient with dyspnea and lipothymia. Echocardiography demonstrates an intracavitary cystic mass that fills almost all left atria causing supravalvular obstruction. The magnetic resonance image revealed a 53 × 47 × 48 mm heterogeneous mass with regular edges, tissue characterization suggested myxoma.
View Article and Find Full Text PDFEchocardiography
January 2025
Department of Hospitalization, National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico.
A 43-year-old woman presented with dyspnea and cough, initially misdiagnosed as respiratory syncytial virus. Persistent symptoms led to pulmonary thromboembolism treatment, but worsening issues revealed recurrent pericardial effusion. Imaging and biopsy confirmed pulmonary artery intimal sarcoma, mimicking thromboembolism, and autoimmune disease, underscoring diagnostic challenges.
View Article and Find Full Text PDFJ Cutan Pathol
December 2024
SkinPath Solutions, Smyrna, Georgia, USA.
Capicua transcriptional repressor (CIC)-rearranged sarcoma (CRS) is a rare and recently described tumor that most commonly affects patients between 15 and 30 years of age. It is an undifferentiated round cell malignancy, with a disease defining CIC fusion, with double homeobox 4 (DUX4) being the most common partner. Here, we report a 77-year-old woman who presented with a cutaneous thigh mass with a clinical morphology suggesting Merkel cell carcinoma.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215, United States.
microRNAs (miRNAs) are central post-transcriptional gene expression regulators in healthy and diseased states. Despite decades of effort, deciphering miRNA targets remains challenging, leading to an incomplete miRNA interactome and partially elucidated miRNA functions. Here, we introduce microT-CNN, an avant-garde deep convolutional neural network model that moves the needle by integrating hundreds of tissue-matched (in-)direct experiments from 26 distinct cell types, corresponding to a unique training and evaluation set of >60 000 miRNA binding events and ~30 000 unique miRNA-gene target pairs.
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