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BAP1 and MTAP immunostains play an important role in diagnosis of mesothelioma, but additional markers are needed to increase sensitivity. We analyzed 84 pleural mesotheliomas (51 epithelioid, 27 biphasic, 6 sarcomatoid) by a hybrid-capture next-generation sequencing (NGS) panel including complete coverage of coding and splicing regions for BAP1, CDKN2A/MTAP, NF2, and TP53 and correlated molecular findings with diagnostic immunostains for BAP1, MTAP, Merlin, and p53, respectively. Fifty-seven reactive mesothelial proliferations served as benign comparators. Loss of BAP1, MTAP, and Merlin protein expression were, respectively, 54%, 46%, and 52% sensitive and 100% specific for mesothelioma. Two-marker immunopanels of BAP1 + MTAP, BAP1 + Merlin, and MTAP + Merlin were 79%, 85%, and 71% sensitive for mesothelioma, while a three-marker immunopanel of BAP1 + MTAP + Merlin was 90% sensitive. Diffuse (mutant-pattern) p53 immunostaining was seen in only 6 (7%) tumors but represented the only immunohistochemical abnormality in 2 cases. Null-pattern p53 was not specific for malignancy. An immunopanel of BAP1 + MTAP + Merlin + p53 was 93% sensitive for mesothelioma, and panel NGS detected a pathogenic alteration in BAP1, MTAP, NF2, and/or TP53 in 95%. Together, 83 (99%) of 84 tumors showed a diagnostic alteration by either immunohistochemistry or panel NGS. Adding Merlin to the standard BAP1 + MTAP immunopanel increases sensitivity for mesothelioma without sacrificing specificity. p53 immunohistochemistry and panel NGS with complete coverage of BAP1, CDKN2A/MTAP, TP53, and NF2 may be useful in diagnostically challenging cases.

Background Mesothelioma (MESO) is an insidious malignancy with a complex diagnosis and a poor prognosis. Our study unveils Glutamine-Fructose-6-Phosphate Transaminase 2 (GFPT2) as a valuable diagnostic and prognostic marker for MESO, exploring its role in MESO pathogenesis. Methods We utilised tissue samples and clinicopathologic data to evaluate the diagnostic and prognostic significance of GFPT2 as a biomarker for MESO. The role of GFPT2 in the malignant progression of MESO was investigated through in vitro and in vivo experiments. The activation of NF-κB-p65 through O-GlcNAcylation at Ser 75 was elucidated using experiments like HPLC-QTRAP-MS/MS and mass spectrometry analysis. Results The study demonstrates that GFPT2 exhibits a sensitivity of 92.60% in diagnosing MESO. Overexpression of it has been linked to an unfavourable prognosis. Through rigorous verification, we have confirmed that elevated GFPT2 levels drive malignant proliferation, invasiveness, and metastasis in MESO. At the molecular level, GFPT2 augments p65 O-GlcNAcylation, orchestrating its nuclear translocation and activating the NF-κB signalling pathway. Conclusions Our insights suggest GFPT2’s potential as a distinctive biomarker for MESO diagnosis and prognosis, and as an innovative therapeutic target, offering a new horizon for identification and treatment strategies in MESO management.

Homozygous deletion (HD) of CDKN2A is one of the most frequent genetic abnormalities in pleural mesotheliomas. HD of CDKN2A by fluorescence in situ hybridization (FISH) is a reliable marker of malignancy in mesothelial proliferations; however, evaluation of CDKN2A deletion requires FISH. The 9p21 locus includes both CDKN2A and MTAP (methylthioadenosine phosphorylase); the latter is frequently codeleted with CDKN2A. To examine the question of whether immunohistochemistry for MTAP and p16, the protein product of CDKN2A, can serve as a surrogate for CDKN2A HD by FISH. A random selection of 125 pleural mesothelioma cases was divided into 3 groups for evaluation of p16 and MTAP expression compared with FISH for CDKN2A deletion: 53 with HD, 39 with heterozygous deletion, and 33 without deletion. By itself, loss of p16 nuclear expression (<1% staining) showed a high sensitivity (96%) but low specificity (43%) for CDKN2A HD by FISH. MTAP cytoplasmic expression loss (≤30% staining) showed a 97% specificity and 69% sensitivity. The combination of p16 nuclear (<1% staining) and MTAP cytoplasmic (≤30% staining) loss demonstrated both high specificity (96%) and high sensitivity (86%). Patients with retained p16 expression (≥1%) had the best prognosis, whereas a p16 (<1%)/MTAP loss combination was associated with a dismal prognosis. MTAP immunohistochemical staining is a valid surrogate marker for CDKN2A HD by FISH; however, to obtain the same accuracy as the FISH assay, a combination of nuclear p16 and cytoplasmic MTAP staining is recommended. These findings correlate with prognosis.

We developed a composite symptom score (CSS) representing disease-related symptom burden over time in patients with malignant pleural mesothelioma (MPM). Longitudinal data were collected from an open-label Phase IIB study in which 239 patients completed the validated MD Anderson Symptom Inventory for MPM (MDASI-MPM). A blinded, independent review committee of external patient-reported outcomes experts advised on MDASI-MPM symptoms to include in the CSS. Through iterative analyses of potential symptom-item combinations, 5 MPM symptoms (pain, fatigue, shortness of breath, muscle weakness, coughing) were selected. The CSS correlated strongly with the full MDASI-MPM symptom set (0.92–0.94) and the Lung Cancer Symptom Scale-Mesothelioma (0.79–0.87) at each co-administration of the scales. The CSS also had good sensitivity to worsening disease and global quality-of-life ratings. The MDASI-MPM CSS can be used as an outcome in MPM clinical trials, including in responder analyses and at the individual patient level. It is brief enough to administer frequently, including electronically, to better capture symptom trajectories during and after a trial and in clinical practice. As a single score, the CSS addresses multiplicity issues that can arise when several symptoms increase due to worsening disease. Our process can be adapted to produce a CSS for other advanced-cancer trials.

Pleural mesothelioma (PM) is a highly aggressive tumor that is caused by asbestos exposure and lacks effective therapeutic regimens. Current procedures for PM diagnosis are invasive and can take a long time to reach a definitive result. Small extracellular vesicles (sEVs) have been identified as important communicators between tumor cells and their microenvironment via their cargo including circular RNAs (circRNAs). CircRNAs are thermodynamically stable, highly conserved, and have been found to be dysregulated in cancer. This study aimed to identify potential biomarkers for PM diagnosis by investigating the expression of specific circRNA gene pattern (hsa_circ_0007386) in cells and sEVs using digital polymerase chain reaction (dPCR). For this reason, 5 PM, 14 non-PM, and one normal mesothelial cell line were cultured. The sEV was isolated from the cells using the gold standard ultracentrifuge method. The RNA was extracted from both cells and sEVs, cDNA was synthesized, and dPCR was run. Results showed that hsa_circ_0007386 was significantly overexpressed in PM cell lines and sEVs compared to non-PM and normal mesothelial cell lines (p < 0.0001). The upregulation of hsa_circ_0007386 in PM highlights its potential as a diagnostic biomarker. This study underscores the importance and potential of circRNAs and sEVs as cancer diagnostic tools.

Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an extremely uncommon form of the illness that almost always results in death. Chemotherapy, surgery, radiation therapy, and immunotherapy are all potential treatments for multiple myeloma; however, the majority of patients are identified with the disease at an advanced stage, at which time it is resistant to these therapies. After obtaining a diagnosis of advanced multiple myeloma, the average length of time that a person lives is one year after hearing this news. There is a substantial link between asbestos exposure and mesothelioma (MM). Using an approach that enables feature selection and machine learning, this article proposes a classification and detection method for mesothelioma cancer. The CFS correlation-based feature selection approach is first used in the feature selection process. It acts as a filter, selecting just the traits that are relevant to the categorization. The accuracy of the categorization model is improved as a direct consequence of this. After that, classification is carried out with the help of naive Bayes, fuzzy SVM, and the ID3 algorithm. Various metrics have been utilized during the process of measuring the effectiveness of machine learning strategies. It has been discovered that the choice of features has a substantial influence on the accuracy of the categorization.

Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning based classifier may be able to aid pathologists in making this critical diagnostic distinction. SpindleMesoNET was trained on cases of malignant sarcomatoid mesothelioma and benign spindle cell mesothelial proliferations. Performance was assessed through cross-validation on the training set, on an independent set of challenging cases referred for expert opinion (‘referral’ test set), and on an externally stained set from outside institutions (‘externally stained’ test set). SpindleMesoNET predicted the benign or malignant status of cases with AUC's of 0.932, 0.925, and 0.989 on the cross-validation, referral and external test sets, respectively. The accuracy of SpindleMesoNET on the referral set cases (92.5%) was comparable to the average accuracy of 3 experienced pathologists on the same slide set (91.7%). We conclude that SpindleMesoNET can accurately distinguish sarcomatoid mesothelioma from benign spindle cell mesothelial proliferations. A deep learning system of this type holds potential for future use as an ancillary test in diagnostic pathology.

Background Malignant pleural mesothelioma is a rare disease with a poor prognosis; distinguishing it from non-specific pleurisy is essential for determining an appropriate treatment strategy. We aimed to evaluate the diagnostic utility and safety of full-thickness biopsy performed during semi-rigid pleuroscopy under local anaesthesia to differentiate between malignant pleural mesothelioma and non-specific pleurisy. Methods Consecutive patients who attempted full-thickness biopsy using a cryoprobe or an insulated-tip diathermic knife during semi-rigid pleuroscopy between April 2019 and October 2023 were retrospectively enrolled. The diagnostic utility of full-thickness biopsy for distinguishing malignant pleural mesothelioma from non-specific pleurisy was assessed based on diagnostic accuracy, specimen quality, and procedural safety. Results Among the 64 patients who underwent full-thickness biopsy, 28 diagnosed with malignant pleural mesothelioma or non-specific pleurisy were included in this study. With the exception of one malignant pleural mesothelioma case diagnosed by surgical biopsy, 13 malignant pleural mesothelioma and 14 non-specific pleurisy cases were histologically diagnosed through full-thickness biopsy, with clinical courses supporting these diagnoses. The median full-thickness biopsy specimen size was 18.8 mm² (range: 0.6-364.2 mm 2 ), and in 25 cases (89.3%), full-thickness pleura was pathologically confirmed. Full-thickness biopsy demonstrated a sensitivity of 92.9%, specificity of 100%, positive predictive value of 100%, negative predictive value of 93.3%, and an overall diagnostic accuracy of 96.4%. No severe complications were reported with the procedures. Conclusion Full-thickness biopsy during semi-rigid pleuroscopy provides high diagnostic accuracy and safety for differentiating malignant pleural mesothelioma from non-specific pleurisy, while yielding high-quality pleural tissue specimens.

Pleural effusions are common cytologic specimens that can be leveraged to make diagnoses of malignancy that drive appropriate patient management. However, the overlap in morphologic features of reactive mesothelial proliferations, mesotheliomas, and adenocarcinomas can create diagnostic pitfalls in the cytologic evaluation of pleural fluids. To review the morphologic spectrum of benign and malignant mesothelial proliferations in pleural effusions, as well as relevant clinicoradiologic contexts and ancillary tests. Existing scientific and clinical literature as of January 2023. We can leverage the knowledge of several overlapping morphologic features, clinicoradiologic scenarios, and immunohistochemical studies to enhance the diagnostic accuracy of pleural effusion cytology to appropriately delineate cases of adenocarcinoma, reactive mesothelial proliferation, and mesothelioma. Earlier diagnosis through cytology, particularly in cases of mesothelioma, may positively impact patient treatment options and prognosis.

Background Primary intrahepatic mesothelioma (PIHMM) has been rarely reported. Its typical clinical presentation, radiological features and pathology have not been defined. Here, we aimed to summarize its diagnosis and treatment. Methods We conducted a retrospective analysis of three cases of PIHMM in the First Affiliated Hospital of Zhejiang University School of Medicine and reviewed the current literature to investigate the clinical and pathological characteristics and prognosis of PIHMM. Results Based on our case series and the literature, the mean age of PIHMM was 59.7 (41–83) years. Most patients present with nonspecific symptoms such as abdominal pain, fever, weight loss and weakness. On imaging, PIHMM usually presented as a solid, heterogeneous soft tissue mass with irregular margins and significant enhancement of the margins in the arterial phase. Immunohistochemical markers such as calretinin, cytokeratin (CK)5/6, D2-40, WT-1, mesothelin CK and vimentin may be useful for diagnosis. The 3-year relapse-free survival rate (RFS) was 51.85%, the 3-year overall survival (OS) rate was 83.33% and the 3-year postoperative overall survival rate was 100%. Conclusion PIHMM can only be diagnosed by careful postoperative pathology, because of its nonspecific clinical presentations, serological indicators or imaging features. Immunohistochemical staining is very useful to distinguish this tumor from other liver tumors. Surgery is the mainstay of treatment.