Classification Of Tumours Research Articles

Imaging of Lymphomas Involving the CNS: An Update-Review of the Full Spectrum of Disease with an Emphasis on the World Health Organization Classifications of CNS Tumors 2021 and Hematolymphoid Tumors 2022.

Lymphomas of the CNS are the second most frequent primary brain malignancy in adults after gliomas. Presurgical suspicion of lymphoma greatly impacts patient management. The radiologic features of this tumor have been widely covered in the literature for decades, but under current classifications, mainly corresponding to the most common presentations of the most frequent type: primary diffuse large B-cell lymphoma of the CNS. Nevertheless, rarer presentations of this specific lymphoma and of other World Health Organization lymphoma subtypes with different imaging features are rarely treated. Moreover, important advances in imaging techniques, changing epidemiologic factors with relevant impact on these tumors (eg, immunodeficiency/dysregulation), and recent updates of the World Health Organization Classification of CNS Tumors 2021 and Hematolymphoid Tumors 2022 may have rendered some accepted concepts outdated. In this article, the authors aim to fulfill a critical need by providing a complete update-review, emphasizing the latest clinical-radiologic features of the full spectrum of lymphomas involving the CNS.

National Brain Tumour Registry of China (NBTRC) statistical report of primary brain tumours diagnosed in China in years 2019–2020

The lack of a well-designed brain tumour registry with standardized pathological diagnoses in underdeveloped countries hinders the ability to compare epidemiologic data across the globe. The National Brain Tumour Registry of China (NBTRC), created in January 2018, is the first multi-hospital-based brain tumour registry in China. Patient data reported to the NBTRC in years 2019-2020 were assessed. Tumour pathology was based on the 2016 World Health Organization (WHO) classification of tumours of the central nervous system and ICD-O-3. The anatomical site was coded per the Surveillance, Epidemiology, and End Results (SEER) solid tumour module (version of July 2019). The cases were tabulated by histology and anatomical site. Categorical variables were reported as numbers (percentages). The distribution of tumours by age (0-14, 15-19, 20-39, 40-64, and 65+ years) was analysed. There were a total of 25,537 brain tumours, foremost among them meningioma (23.63%), followed by tumours of the pituitary (23.42%), and nerve sheath tumours (9.09%). Glioblastoma, the most common and lethal form of primary brain cancer in adults, represented 8.56% of all cases. Of note, 6.48% of the malignant tumours were located in the brain stem. The percentage of malignant brain tumours decreased with increasing age, 24.08% in adults (40+ years), 30.25% in young adults (20-39 years), 35.27% in adolescents (15-19 years), and 49.83% in children (0-14 years). Among the 2107 paediatric patients, the most common sites were ventricle (17.19%), brainstem (14.03%), pituitary and craniopharyngeal duct (13.4%), and cerebellum (12.3%), a distribution that differed from that of the entire cohort. The histology distribution was also unique in children, with glioblastoma much less incident compared to the whole cohort (3% vs. 8.47%, p<0.01). 58.80% of all patients chose higher-level neurosurgical hospitals outside of their province of residence. The median in-hospital length of stay (LOS) for the various pathologies ranged from 11 to 19 days. The histological and anatomical site distribution of brain tumours in the NBTRC was statistically different in the subgroup of children (0-14 years). Patient choice of pursuing trans-provincial treatment was common and the in-hospital LOS was longer compared to that reported in similar European and American patient populations, which merits further attention. The National Key Research and Development Program of China (2015BAI12B04, 2013BAI09B03, 2014BAI04B01, and 2021YFF1201104) and Chinese National Natural Science Foundation of China (81971668).

An improved hybrid quantum-classical convolutional neural network for multi-class brain tumor MRI classification

The efficiency of quantum computing has recently been extended to machine learning, which has made a significant impact on quantum machine learning. The hybrid structure of quantum and classical ones has developed into the most successful application mode currently due to noisy intermediate scale quantum limitations. In this paper, an improved hybrid quantum-classic convolutional neural network (HQC-CNN) with fast training speed, lightweight, and high performance is proposed. Its convolution layer realizes feature mapping through parameterized quantum circuit, while other layers keep classic operation and finally complete the task of four classifications of brain tumors. The experiment in this paper is based on kaggle brain tumor magnetic resonance imaging public dataset. The final experimental results show that HQC-CNN can effectively classify meningioma, glioma, pituitary, and no tumor with a classification accuracy of 97.8%. When compared to numerous well-known landmark models, HQC-CNN has obvious advantages.

Rare Neuronal, Glial and Glioneuronal Tumours in Adults

Rare glial, neuronal and glioneuronal tumours in adults form a heterogeneous group of rare, primary central nervous system tumours. These tumours, with a glial and/or neuronal component, are challenging in terms of diagnosis and therapeutic management. The novel classification of primary brain tumours published by the WHO in 2021 has significantly improved the diagnostic criteria of these entities. Indeed, diagnostic criteria are nowadays multimodal, including histological, immunohistochemical and molecular (i.e., genetic and methylomic). These integrated parameters have allowed the specification of already known tumours but also the identification of novel tumours for a better diagnosis.

Invasive Micropapillary Urothelial Carcinoma: an Uncommon and Underreported Variant in Cystectomy Specimens.

Conventional urothelial carcinoma is the most common histological type of urinary bladder carcinoma. The latest edition of the WHO classification of tumours of the urothelial tract lays special emphasis on the ability of urothelial tumours to exhibit divergent differentiation with multiple histologic variants and a diverse genomic landscape. The presence of a micropapillary component (MPC) in urothelial carcinoma is associated with high-grade disease and poor response to intravesical chemotherapy. The present study aims to enumerate the clinicohistological features of urothelial carcinomas with micropapillary differentiation. Slides from 144 radical cystectomy specimens received over 6 years were reviewed independently by two pathologists. A predominant histological pattern along with co-existing pathology was noted. Of these, five cases were pure micropapillary carcinomas, four had conventional urothelial carcinoma with a MPC, one had a microscopic tumour at the mucosal surface, and two cases showed micropapillary histology in the lymph node metastasis, following transurethral resection of bladder tumour and Bacillus Calmette-Guerin therapy. The tumours with pure micropapillary carcinoma presented with a higher pathological stage and poor overall survival. Organ and lymph node metastasis was noted in five and eight cases, respectively, of which six showed a micropapillary pattern in the lymph nodes. Micropapillary urothelial carcinoma is a rare and aggressive variant of urothelial carcinoma with unique histologic features. This variant is often missed and underreported in biopsy and surgical resection specimens. Since the presence of MPC confers a poorer prognosis, the identification and reporting of this entity are important.

Phyllodes tumour evidence gaps mapped from the 5th edition of the WHO classification of tumours of the breast.

Breast phyllodes tumours (PTs) are a rare subset of fibroepithelial neoplasms categorised into benign, borderline, and malignant grades according to the World Health Organization (WHO) Classification of Tumours (WCTs). In this report, we developed an evidence gap map (EGM) based on the literature cited in the PT chapter of the 5th edition of the breast WCT in order to identify knowledge and research gaps in PT. A framework was first established where the dimensions of the EGM were defined as categories of tumour descriptors, tumour types, and evidence levels. Citations were collected into a Microsoft Excel form and imported into EPPI-reviewer to produce the EGM. The EGM showed that the "Histopathology" and "Pathogenesis" sections contained the most citations, the majority being of low-level evidence. The highest number of citations considered of moderate-level evidence were found in the "Histopathology" section. There was no high-level evidence cited in this chapter. The "Localisation", "Aetiology", and "Staging" sections had the fewest citations. This EGM provides a visual representation of the cited literature in the PT chapter of the breast WCT, revealing the lack of high-level evidence citations. There is an uneven distribution of references, probably due to citation practices. Pockets of low-level evidence are highlighted, possibly related to referencing habits, lack of relevant research, or the belief that the information presented is standard accepted fact, without the need for specific citations. Future work needs to bridge evidence gaps and broaden citations beyond those in the latest WCT.

Update of pediatric bone tumors-other mesenchymal tumors of bone, hematopoietic neoplasms of bone, and WHO classification of undifferentiated small round cell sarcomas of bone.

There are numerous bone tumors in the pediatric population, with imaging playing an essential role in diagnosis and management. Our understanding of certain bone tumors has rapidly evolved over the past decade with advancements in next-generation genetic sequencing techniques. This increased level of understanding has altered the nomenclature, management approach, and prognosis of certain lesions. We provide a detailed update of bone tumors that occur in the pediatric population with emphasis on the recently released nomenclature provided in the 5th edition of the World Health Organization Classification of Soft Tissue and Bone Tumours. We discuss other mesenchymal tumors of bone, hematopoietic neoplasms of bone, and WHO classification of undifferentiated small round cell sarcomas of bone. We have detailed osteogenic tumors and osteoclastic giant cell-rich tumors, as well as notochordal tumors, chondrogenic tumors, and vascular tumors of the bone in separate manuscripts.

Non-invasive follicular thyroid neoplasm with papillary-like nuclear feature: clinical, pathological, and molecular update 5 years after the nomenclature revision.

The term non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) was proposed in 2016 and incorporated as a new entity in the World Health Organization (WHO) classification of tumours of endocrine organs in 2017. Since then, there has been debate regarding the histological criteria for the diagnosis, the need for molecular studies or the risk of lymph node metastasis or recurrence associated with this entity. Over the years, the concept of NIFTP evolved, now including both small (<1 cm) and large (>4 cm) tumours and oncocytic lesions. On the other hand, recent data on NIFTP in the setting of thyroid follicular nodular disease or frequent coexistence of malignant tumours raised concerns regarding the follow-up of these patients. Today, both pathologists and clinicians still face several challenges in the diagnosis, treatment, and follow-up of patients with NIFTP.

The Recurrent-Specific Regulation Network of Prognostic Stemness-Related Signatures in Low-Grade Glioma.

Gliomas including astrocytomas, oligodendrogliomas, mixed oligoastrocytic, and mixed glioneuronal tumors are an important group of brain tumors. Based on the 2016 WHO classification for tumors in the central nervous system, gliomas were classified into four grades, from I to IV, and brain lower grade glioma (LGG) consists of grade II and grade III. Patients with LGG may undergo recurrence, which makes clinical treatment tough. Stem cell-like features of cancer cells play a key role in tumor's biological behaviors, including tumorigenesis, development, and clinical prognosis. In this article, we quantified the stemness feature of cancer cells using the mRNA stemness index (mRNAsi) and identified stemness-related key genes based on correlation with mRNAsi. Besides, hallmark gene sets and translate factors (TFs) which were highly related to stemness-related key genes were identified. Therefore, a recurrency-specific network was constructed and a potential regulation pathway was identified. Several online databases, assay for transposase-accessible chromatin using sequencing (ATAC-seq), single-cell sequencing analysis, and immunohistochemistry were utilized to validate the scientific hypothesis. Finally, we proposed that aurora kinase A (AURKA), positively regulated by Non-SMC Condensin I Complex Subunit G (NCAPG), promoted E2F target pathway in LGG, which played an important role in LGG recurrence.

Combined Reverse-Transcriptase Multiplex Ligation-Dependent Probe Amplification and Next-Generation Sequencing Analyses to Assign Unclassified BCL2−/BCL6− Nonrearranged Small B-Cell Lymphoid Neoplasms as Follicular or Nodal Marginal Zone Lymphoma

Distinguishing between follicular lymphoma (FL) and nodal marginal zone lymphoma (NMZL) can be difficult when morphologic and phenotypic features are unusual and characteristic cytogenetic rearrangements are absent. We evaluated the diagnostic contribution of ancillary techniques—including fluorescence in situ hybridization (FISH)-detected 1p36 deletion; reverse-transcriptase, multiplex, ligation-dependent probe amplification (RT-MLPA); and next-generation sequencing (NGS)—for tumors that remain unclassified according to standard criteria. After review, 50 CD5-negative small B-cell lymphoid neoplasms without BCL2 and BCL6 FISH rearrangements were diagnosed as FLs (n = 27), NMZLs (n = 5), or unclassified (n = 18) based on the 2016 World Health Organization Classification of Tumours of Haematopoietic and Lymphoid Tissues. FISH helped identify the 1p36 deletion in 3 FLs and 1 unclassified tumor. Most classified FLs had an RT-MLPA germinal center B-cell (GCB) signature (93%) or were noncontributive (7%). Classified NMZLs had an RT-MLPA activated B-cell signature (20%), had an unassigned signature (40%), or were noncontributive (40%). Among unclassified tumors, the RT-MLPA GCB signature was associated with mutations most commonly found in FLs (CREBBP, EZH2, STAT6, and/or TNFRSF14) (90%). An RT-MLPA-detected GCB signature and/or NGS-detected gene mutations were considered as FL identifiers for 13 tumors. An activated B-cell signature or NOTCH2 mutation supported NMZL diagnosis in 3 tumors. Combining the RT-MLPA and NGS findings successfully discriminated 89% of unclassified tumors in favor of one or the other diagnosis. NGS-detected mutations may be of therapeutic interest. Herein, we detected 3 EZH2 and 8 CREBBP mutations that might be eligible for targeted therapies.

APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification.

Diagnosis and treatment of hepatocellular carcinoma or metastases rely heavily on accurate segmentation and classification of liver tumours. However, due to the liver tumor's hazy borders and wide range of possible shapes, sizes, and positions, accurate and automatic tumour segmentation and classification remains a difficult challenge. With the advancement of computing, new models in artificial intelligence have evolved. Following its success in Natural language processing (NLP), the transformer paradigm has been adopted by the computer vision (CV) community of the NLP. While there are already accepted approaches to classifying the liver, especially in clinical settings, there is room for advancement in terms of their precision. This paper makes an effort to apply a novel model for segmenting and classifying liver tumours built on deep learning. In order to accomplish this, the created model follows a three-stage procedure consisting of (a) pre-processing, (b) liver segmentation, and (c) classification. In the first phase, the collected Computed Tomography (CT) images undergo three stages of pre-processing, including contrast improvement via histogram equalization and noise reduction via the median filter. Next, an enhanced mask region-based convolutional neural networks (Mask R-CNN) model is used to separate the liver from the CT abdominal image. To prevent overfitting, the segmented picture is fed onto an Enhanced Swin Transformer Network with Adversarial Propagation (APESTNet). The experimental results prove the superior performance of the proposed perfect on a wide variety of CT images, as well as its efficiency and low sensitivity to noise.

Recent Advances in the Classification of Gynecological Tract Tumors: Updates From the 5th Edition of the World Health Organization "Blue Book".

The World Health Organization Classification of Tumours: Female Genital Tract Tumors, 5th edition, published in September 2020, comes 6 years after the 4th edition, and reflects the monumental leaps made in knowledge about the biology of gynecological tumors. Major changes include revised criteria for the assignment of the site of origin of ovarian and fallopian tube tumors, a revision in the classification of squamous and glandular lesions of the lower genital tract based on human papillomavirus association, and an entire chapter devoted to genetic tumor syndromes. This article highlights the changes in the 5th edition relative to the 4th edition, with a focus on areas of value to routine clinical practice. To provide a comprehensive update on the World Health Organization classification of gynecological tumors, highlighting in particular updated diagnostic criteria and terminology. The 4th and 5th editions of the World Health Organization Classification of Tumours. The World Health Organization has made several changes in the 5th edition of the update on female genital tumors. Awareness of the changes is needed for pathologists' translation into contemporary practice.

Interobserver agreement in the histopathological classification of desmoplastic melanomas

Desmoplastic melanoma is a subtype of melanoma characterised by amelanotic fusiform melanocytes dispersed in a collagenous stroma. Cell-poor and fibrous stroma-rich 'pure' variants have been distinguished from 'mixed' variants with areas of higher cell density and/or less desmoplastic stroma. This distinction is relevant because patients whose tumours display a pure phenotype have a lower risk for regional lymph node metastasis and distant recurrence. However, little is known about interobserver agreement among pathologists in the subclassification of desmoplastic melanoma. To address this issue, we conducted a study in which eleven dermatopathologists independently evaluated whole slide scanned images of excisions from 30 desmoplastic melanomas. The participating pathologists were asked to classify the tumours as pure or mixed. They were also asked to record the presence or absence of neurotropism and angiotropism. We found substantial interobserver agreement between the 11 dermatopathologists in the classification of tumours as pure versus mixed desmoplastic melanoma (kappa=0.64; p<0.0001). There was fair agreement between the 11 dermatopathologists in the evaluation of presence versus absence of neurotropism (kappa=0.26; p<0.0001), and slight agreement in the assessment of angiotropism (kappa=0.13; p<0.0001). The level of concordance in the subclassification of desmoplastic melanomas is encouraging for the acceptance of this prognostic parameter in the real-world practice of melanoma pathology.

What's new in the WHO 2022 classification of kidney tumours?

The World Health Organization (WHO) 2022 classification of urinary and male genital tumours (5th edition) has significantly improved our understanding of the morphologic, immunohistochemical, and molecular characteristics of renal tumours. The aim of this review is to outline the most important changes and diagnostic updates in the WHO 2022 classification of kidney tumours. A major change in this edition is the grouping of renal tumours into broader categories that include "clear cell renal tumours", "papillary renal tumours", "oncocytic and chromophobe renal tumours", "collecting duct tumours" as well as adding two categories of "other renal tumours" and "molecularly defined renal carcinomas". Novel entities included in the WHO 2022 classification are eosinophilic solid and cystic renal cell carcinoma (ESC RCC), anaplastic lymphoma kinase (ALK)-rearranged RCC and ELOC (formerly TCEB1)-mutated RCC. The category of "other renal tumours" includes a group of diverse, unrelated renal tumours that do not fit into other categories. The group of "molecularly defined renal carcinomas" reflects recent discoveries in the renal tumour genomics. These molecularly-defined renal entities demonstrate a set of morphologic features reflecting genotype-phenotype relationships. Final diagnosis of such entities rests on phenotypic and immunohistochemical (IHC) correlation, usually associated with IHC surrogate makers that reflect specific genetic abnormalities.

An Update on WHO Classification of Thoracic Tumours 2021- Newly Described Entities and Terminologies

The 5th edition of the World Health Organisation (WHO) “Classification of Thoracic Tumours” replaces the previous edition from 2015, which was released in 2021. The new edition includes specific diagnostic criteria for each entity and lays a stronger emphasis on diagnostic molecular pathology. Immunohistochemistry (IHC) was heavily promoted in 2015, as a way to improve classification precision. The book places more attention on molecular pathology developments for all tumour types in 2021. Classification based on microscopic biopsy samples of the characteristics of lung cancer is an alternative to resection-based categorisation. A grading system for invasive non mucinous adenocarcinomas has been developed, using the percentage of distinctive histological patterns found inside each tumour. Lung adenocarcinoma is also predisposed by Tumour Spread Through Air Spaces (STAS). A basaloid variety of Squamous Cell Carcinoma (SCC) and lymphoepithelial carcinoma was added to the SCC group. The ciliated muconodular papillary tumour and thoracic SMARCA4-deficient undifferentiated carcinoma are recent inclusions. Therefore, the following new terms and entities have been added to the WHO classification of 2021: (1) Thoracic SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily a, member 4 (SMARCA4)-deficient undifferentiated tumour; (2) Bronchiolar adenoma/ciliated muconodular papillary tumour; (3) Primary pulmonary hyalinising clear cell carcinoma of lung; (4) Lypmphoepithelial carcinoma; (5) STAS.

S-13-2: PATHOLOGY UPDATE OF CUSHING'S SYNDROME AND PRIMARY ALDOSTERONISM ACCORDING TO WHO 2022

New pathology classification of endocrine and neuroendocrine tumours is currently being updated as one of WHO classification of tumours version 5. Not only pathologists but also clinicians involved in the clinical management of those patients should be familiar with novel classification including their new concepts. Therefore in this presentation, we will introduce newly updated concepts of adrenocortical diseases associated with Cushing's syndrome and primary aldosteronism. In Cushing's syndrome, primary bilateral nodular adrenal cortical disease has turned out to harbor multiple independent clonal proliferations and the term hyperplasia should not be used in these adrenocortical disorders. Hyperplasia should be only reserved for those associated with ACTH overproduction from pituitary or others. Various somatic and/or genomic mutations of the genes involved in intracellular signaling pathways have been reported in almost all bilateral micronodular adrenal cortical disease and the great majority of bilateral macronodular adrenal cortical disease associated with Cushing's syndrome. For instance, bilateral micronodular adrenocortical disease harbors pathogenic germline mutations resulting in the activation of the protein kinase A or PKA pathway including PRKAR1A, PRKAR1A, PRKACA, PDE11A, PDE8B and 2p16 CNC2 locus alterations. On the other hand, bilateral macronodular adrenal cortical disease has been linked to several germline alterations including ARMC5, MEN1, FH, APC and others.Clinical significance of those genetic abnormalities above including potential therapeutic manipulation is being studied at this juncture. In primary aldosteronism, the introduction of CYP11B2 has enormously contributed to the establishment of new concept of adrenocortical pathology. Primary aldosteronism can be generally classified into two categories. The one in which aldosterone production diffusely occurs in the hyperplastic zona glomerulosa and the other harboring localized aldosterone production. The former is generally bilateral and the latter unilateral or bilateral. The latter category also includes both nodule and adenoma, which could be differentiated according to the status of intra-lesional distribution of CYP11B2. CYP11B2 positive localized proliferation of the zona glomerulosa cells is frequently detected in non hypertensive subject and should be termed aldosterone producing nodules (APN) rather than aldosterone producing cell clusters (APCC). The potential cascade from these aldosterone producing nodules in normal subject to those associated with clinically overt primary aldosteronism is being investigated including the possible concept of pre- or subclinical primary aldosteronism.

Identifying miRNA-Gene Common and Specific Regulatory Modules for Cancer Subtyping by a High-Order Graph Matching Model.

Identifying regulatory modules between miRNAs and genes is crucial in cancer research. It promotes a comprehensive understanding of the molecular mechanisms of cancer. The genomic data collected from subjects usually relate to different cancer statuses, such as different TNM Classifications of Malignant Tumors (TNM) or histological subtypes. Simple integrated analyses generally identify the core of the tumorigenesis (common modules) but miss the subtype-specific regulatory mechanisms (specific modules). In contrast, separate analyses can only report the differences and ignore important common modules. Therefore, there is an urgent need to develop a novel method to jointly analyze miRNA and gene data of different cancer statuses to identify common and specific modules. To that end, we developed a High-Order Graph Matching model to identify Common and Specific modules (HOGMCS) between miRNA and gene data of different cancer statuses. We first demonstrate the superiority of HOGMCS through a comparison with four state-of-the-art techniques using a set of simulated data. Then, we apply HOGMCS on stomach adenocarcinoma data with four TNM stages and two histological types, and breast invasive carcinoma data with four PAM50 subtypes. The experimental results demonstrate that HOGMCS can accurately extract common and subtype-specific miRNA-gene regulatory modules, where many identified miRNA-gene interactions have been confirmed in several public databases.

Histopathological evaluation of benign soft tissue lesions at Nnamdi Azikiwe University teaching hospital, Nnewi, south-east Nigeria: A 9-year review

Background: Soft tissue lesions are remarkably diverse and range from inflammatory, self-limited lesions to neoplasm. The diversity of these lesions frequently poses a diagnostic challenge to pathologists and remains a subject of interests. Lack of research on soft tissues in our setting has prompted the need to study them. Objectives: The aim of this study was to determine the benign lesions of soft tissues with respect to age, sex, anatomic site, and histologic types. It also aimed to determine the baseline data of benign soft tissue lesions in Nnewi, Nigeria. Materials and Methods: This study reviewed all histologically diagnosed benign soft tissue lesions at the Histopathology Department of Nnamdi Azikiwe University Teaching Hospital (NAUTH), Nnewi, Nigeria from 2011 to 2019 and classified the tumors using the 2020 WHO Classification of Soft Tissue Tumours. Results: A total of 351 cases of soft tissue lesions were diagnosed during the study period, out of which 251 were benign lesions and accounted for 71.5% (251/351) of all soft tissue lesions, whereas 28.5% (100/351) of the cases were malignant. The benign lesions included inflammatory and benign neoplasm, of which neoplasm accounted for the majority of the cases with a frequency of 94.0% (236/251), whereas inflammatory lesions accounted for 5.9% (15/251). The 236 benign soft tissue tumors diagnosed had a male-to-female ratio of 1: 1.4 with a mean age (SD) of 37.5 (19.5) years. The most frequent occurrence of benign tumors was seen in the fourth decade with 52 cases (21.0%), followed by fifth decade with 42 cases (16.7%). Adipocytic tumors were the commonest with a frequency of 54.0% (135/251), followed by peripheral nerve sheath tumors (PNSTs) with 12.4% (31/251) and then vascular and fibroblastic/myofibroblastic tumors with 10.8% (27/251) and 5.6% (14/251), respectively. Lipoma is the most common histologic type of benign soft tissue tumor and the only benign adipocytic tumor. This is followed by hemangioma 9.6% (24/251) and then neurofibroma 7.6% (19/251). Lipoma accounted for 37.09% (135/351) of all soft tissue lesions and the majority of them were seen in the fourth decade, whereas hemagioma and neurofibroma occurred more at the first decade. The most common anatomic distributions of these benign tumors were lower extremities with 23.5% (n = 59/251), followed by trunk 21.1% (n = 53). The major inflammatory lesions were tuberculoid granulomatous inflammation and panniculitis with 2.3% (6/251) of cases each. Others were necrotizing fasciitis (n = 2) and eosinophilic myositis (n = 1). Conclusion: Benign soft tissue tumors had a slight female preponderance. Lipoma is the single most common benign soft tissue neoplasm, whereas tuberculosis and panniculitis were the two most common inflammatory soft tissue lesions. Histopathological evaluation of these lesions still stands as a gold standard in their diagnosis.

News in the classification of WHO 2022 testicular tumours.

The novelties in WHO 5th edition classification of genitourinary tumours are: a) nomenclature changes, including the replacement of the term "primitive neuroectodermal tumour" with "embryonic-type neuroectodermal tumour" and of "carcinoid" with "neuroendocrine tumour". Also, seminoma is now placed in a "germinoma" family of tumours, while sertoliform cystoadenoma was moved from adnexal tumours to Sertoli cell tumours; b) new entities, specifically signet ring stromal tumour, myoid gonadal stromal tumour and well-differentiated papillary mesothelial tumour.

Telomerase inhibition in malignant gliomas. A systematic review.

Glioblastoma (GBM) is the most frequent adult malignant brain tumour and despite different therapeutic efforts, the median overall survival still ranges from 14 to 18 months. Thus, new therapeutic strategies are urgently needed. However, the identification of cancer-specific targets is particularly challenging in GBM, due to the high heterogeneity of this tumour in terms of histopathological, molecular, genetic and epigenetic features. Telomerase reactivation is a hallmark of malignant glioma. An activating mutation of the hTERT gene, encoding for the active subunit of telomerase, is one of the molecular criteria to establish a diagnosis of GBM, IDH-wildtype, in the 2021 WHO classification of central nervous system tumours. Telomerase inhibition therefore represents, at least theoretically, a promising strategy for GBM therapy: pharmacological compounds, as well as direct gene expression modulation therapies, have been successfully employed in in vitro and in vivo settings. Unfortunately, the clinical applications of telomerase inhibition in GBM are currently scarce. The aim of the present systematic review is to provide an up-to-date report on the studies investigating telomerase inhibition as a therapeutic strategy for malignant glioma in order to foster the future translational and clinical research on this topic.