Calcifying fibrous tumour of the pleura without gross calcification
We report a rare case that enhancing pleural thickening, confirmed as CFTP through pathological examination, despite the absence of visible calcification on radiological imaging. Key messageCalcifying fibrous tumours of the pleura (CFTP) typically appear as calcified, non-enhancing lesions on chest CT scans. However, enhancing pleural lesions can mimic malignancy like mesothelioma. We report a rare case that enhancing pleural thickening, confirmed as CFTP through pathological examination, despite the absence of visible calcification on radiological imaging. (Source: Respirology Case Reports)
Source: Respirology Case Reports - May 2, 2024 Category: Respiratory Medicine Authors: Hwan Jin Lee,
Jae Seok Jeong,
Yong Chul Lee Tags: CLINICAL IMAGE Source Type: research
Pleural mesothelioma from fluoro-edenite exposure: PACAP and PAC1 receptor. A preliminary report
In this study, based on the hypothesis that pituitary adenylate cyclase-activating polypeptide (PACAP) and PACAP-preferring receptor (PAC1R) expressions could be dysregulated in pleural mesothelioma samples and that they could potentially act as diagnostic or prognostic biomarkers, we aimed to investigate the immunohistochemical expression of PACAP and PAC1R in pleural biopsies from patients with pleural mesothelioma exposed to fluoro-edenite fibers. A total of 12 patients were included in this study, and their biopsies were processed for immunohistochemical analysis to evaluate the expression of PACAP and its receptor. Th...
Source: European Journal of Histochemistry - May 2, 2024 Category: Biomedical Science Authors: Claudia Lombardo, Grazia Maugeri, Agata Grazia D ' Amico, Giuseppe Broggi, Rosario Caltabiano, Veronica Filetti, Serena Matera, Velia D ' Agata, Carla Loreto Source Type: research
Sarcoma of the Lung and Mediastinum
Surg Pathol Clin. 2024 Jun;17(2):243-255. doi: 10.1016/j.path.2023.11.008. Epub 2023 Dec 15.ABSTRACTPrimary sarcoma of the lung and mediastinum is rare. The diagnosis requires careful exclusion of sarcomatoid carcinoma, sarcomatoid mesothelioma, and metastases from extra-thoracic sites. This review summarizes the key morphologic, immunohistochemical, and molecular characteristics of sarcomas that are encountered in the lung and mediastinum. The tumor types discussed are synovial sarcoma, well-differentiated/dedifferentiated liposarcoma, myxoid pleomorphic liposarcoma, intimal sarcoma of the pulmonary artery, inflammatory m...
Source: Clinical Lung Cancer - May 1, 2024 Category: Cancer & Oncology Authors: Ken-Ichi Yoshida Akihiko Yoshida Source Type: research
DHEA-S, Androstenedione, 17- β-estradiol signature as novel biomarkers for early prediction of risk of malignant pleural mesothelioma linked to asbestos-exposure: A preliminary investigation
In conclusion, this study suggests 17-β-estradiol, DHEA-S, and androstenedione as biomarkers for mesothelioma risk and early diagnosis of mesothelioma in asbestos-exposed individuals, aiding timely intervention and improved care.PMID:38692064 | DOI:10.1016/j.biopha.2024.116662 (Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie)
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - May 1, 2024 Category: Drugs & Pharmacology Authors: Barbara Nuvoli Andrea Sacconi Grazia Bottillo Francesca Sciarra Roberta Libener Antonio Maconi Mariantonia Carosi Giorgio Piperno Eliuccia Mastropasqua Maria Papale Emanuela Camera Rossella Galati Source Type: research
Cancers, Vol. 16, Pages 1719: The Role of Surgery in Pleural Mesothelioma
ler
Surgery plays a central role in the diagnosis, staging, and management of pleural mesothelioma. Achieving an accurate diagnosis through surgical intervention and identifying the specific histologic subtype is crucial for determining the appropriate course of treatment. The histologic subtype guides decisions regarding the use of chemotherapy, immunotherapy, or multimodality treatment. The goal of surgery as part of multimodality treatment is to accomplish macroscopic complete resection with the eradication of grossly visible and palpable disease. Over the past two decades, many medical centers worldwide have shifte...
Source: Cancers - April 28, 2024 Category: Cancer & Oncology Authors: Moshe Lapidot Martin Sattler Tags: Review Source Type: research
A morphology-based approach to mesenchymal tumours of the thorax
Primary mesenchymal tumours of the thorax are rare lesions that can pose significant diagnostic difficulties, particularly given the morphological overlap with carcinomas and mesotheliomas that occur much more commonly at these sites. In this article we will discuss a morphology-based approach to assist pathologists when confronted with a possible mesenchymal neoplasm. This will be combined with an overview of the key immunohistochemical and molecular studies that aid diagnosis of the more commonly encountered neoplasms that arise in the thorax. (Source: Diagnostic Histopathology)
Source: Diagnostic Histopathology - April 27, 2024 Category: Pathology Authors: Katherine Elizabeth Quiohilag, Carol Kwon, Jonathan GN. Davey, David Andrew Dorward Tags: Mini-symposium: thoracic pathology Source Type: research
Identification of the ferroptosis-related prognostic gene signature in mesothelioma
Gene. 2024 Apr 24:148498. doi: 10.1016/j.gene.2024.148498. Online ahead of print.ABSTRACTMesothelioma, an uncommon yet highly aggressive malignant neoplasm, presents challenges in the effectiveness of current therapeutic approaches. Ferroptosis, a non-apoptotic mechanism of cellular demise, exhibits a substantial association with the progression of diverse cancer forms. It is important to acknowledge that there exists a significant association between ferroptosis and the advancement of various forms of cancer. Nevertheless, the precise role of ferroptosis regulatory factors within the context of mesothelioma remains enigma...
Source: Gene - April 26, 2024 Category: Genetics & Stem Cells Authors: Zairui Wang Jialin Huang None MinYang Liren Fu Shijie Liu Jianghua Huang Jingjing Han Xiaohui Zhao Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: The American Journal of Pathology - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: Am J Pathol - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: The American Journal of Pathology - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: Am J Pathol - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: The American Journal of Pathology - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. Then three machine learning algorithms, least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), and random forest (RF) were used to screen and obtain four shared candidate markers...
Source: Am J Pathol - April 24, 2024 Category: Pathology Authors: Yige Yin Qianwen Cui Jiarong Zhao Qiang Wu Qiuyan Sun Hong-Qiang Wang Wulin Yang Source Type: research
Combination of calretinin, MALAT1, and GAS5 as a potential prognostic biomarker to predict disease progression in surgically treated mesothelioma patients
Pleural mesothelioma is a fatal cancer of the pleural cavity, primarily caused by asbestos. Overall survival (OS) after diagnosis is poor and the long latency period of the disease after asbestos exposure is responsible for the still increasing incidence of mesothelioma worldwide [1,2]. Several options are available for the treatment of pleural mesothelioma to improve OS, ranging from multimodal therapy including surgery and chemotherapy to, chemotherapy or immunotherapy [3,4]. Monitoring the disease progression after treatment is essential, but imaging techniques are of limited value in mesothelioma, in contrast to severa...
Source: Lung Cancer - April 24, 2024 Category: Cancer & Oncology Authors: Laura V. Klotz, Swaantje Casjens, Georg Johnen, Dirk Taeger, Alexander Brik, Florian Eichhorn, Laura F örster, Nina Kaiser, Thomas Muley, Christa Stolp, Marc Schneider, Jan Gleichenhagen, Thomas Brüning, Hauke Winter, Martin Eichhorn, Daniel G. Weber Tags: Research Paper Source Type: research
Integrated bioinformatics and machine learning analysis identify ACADL as a potent biomarker of reactive mesothelial cells
This study aimed to identify and validate potential biomarkers that distinguish mesothelial cells from mesothelioma cells through machine learning combined with immunohistochemistry (IHC) experiments. We integrated the gene expression matrix from three GEO datasets (GSE2549, GSE12345, GSE51024) to analyze the differently expressed gene (DEGs) between normal and mesothelioma tissues. (Source: American Journal of Pathology)
Source: American Journal of Pathology - April 21, 2024 Category: Pathology Authors: Yige Yin, Qianwen Cui, Jiarong Zhao, Qiang Wu, Qiuyan Sun, Hong-qiang Wang, Wulin Yang Tags: Regular Article Source Type: research
