Search Results (158)

Background/Objectives: The aim of this retrospective study is to analyze the prevalence of adrenal masses in patients with different types of tumors who performed [¹⁸F]FDG PET/CT. Method: Eighty-eight patients who performed [¹⁸F]FDG PET/CT from 2019 to 2024 for oncologic purposes, with evidence of adrenal mass and different types of cancer, were retrospectively retrieved from our database. To assess the functionality of the adrenal lesions, ACTH, adrenal steroids, and a low-dose dexamethasone suppression test (DST-1 mg) was performed in the Endocrinology Unit. According to the results of DST-1 mg, the adrenal lesions were classified in cortisol-secreting lesions (CS) and non-secreting lesions (NS). Results: Adrenal masses were most prevalent in breast cancer (25/88, 28.4%), followed by kidney cancer (13/88, 14.8%), thyroid cancer (11/88, 12.5%), and the others. We report a global rate of 39.8% (34/88) cortisol-secreting amongst all adrenal lesions. Conclusions: Our study is the largest retrospective study available in the literature calculating the prevalence of adrenal lesions in several cancer patients. From our results there emerges a high prevalence of secreting lesions. Therefore, biochemical characterization of adrenal masses is crucial in oncological settings to address clinical and therapeutic management. Full article

DICER1 syndrome is a hereditary cancer predisposition syndrome, characterized by a large range of benign and malignant neoplasms. Patients with DICER1 syndrome have a broad phenotype, with pleuropulmonary blastoma, Sertoli–Leydig cell tumor, cystic nephroma, cervical embryonal rhabdomyosarcoma, cystic lung lesions, and thyroid follicular nodular disease being the most prevalent manifestations. The syndrome is caused by loss-of-function germline variants in the DICER1 gene, and DICER1-related tumors are characterized by second somatic hotspot variants in the RNase IIIb domain of DICER1. DICER1 encodes an endoribonuclease, which is important for RNA interference. This review describes the molecular mechanism of DICER1 function and the pathogenetic mechanisms of tumorigenesis. The purpose of this review is to describe the pathogenesis, genotype–phenotype correlation and tissue specificity of DICER1 syndrome. We conclude that there is a lack of knowledge about the exact molecular mechanisms of DICER1 function and more research is needed to determine the exact role of this altered protein in relation to pathogenesis. Full article

Purpose: This study aimed to compare: the performance of K-TIRADS, EU-TIRADS and ACR TIRADS when used by observers with different levels of experience compared with the gold standard of cytology, and to evaluate the diagnostic performance of CAD (computer-aided design) compared with TI-RADS systems. Methods and Materials: In total, 323 thyroid nodules were evaluated in patients who were candidates for needle aspiration. Three observers with different levels of experience evaluated the diagnostic accuracy of three risk stratification systems (ACR TI-RADS, EU-TIRADS and K-TIRADS) and CAD software (S-Detect, made by Samsung) in characterizing the nodules. The results were compared with cytology examination. All nodules were characterized in terms of shape, margins, composition, calcifications, size, echogenicity and microcalcifications, and by stratifying individual nodules by using the three TIRADS systems; then S-detect software was applied and the data were compared with each other and with the gold standard. Results: Through cytology, 308 benign and 33 malignant nodules were identified. ACR-TIRADS showed a sensitivity of 100%, a specificity of 86%, a positive predictive value of 43% and a negative predictive value of 100%. EU-TIRADS showed a sensitivity of 100%, a specificity of 79%, a positive predictive value of 33% and a negative predictive value of 100%. K-TIRADS showed a sensitivity of 100%, a specificity of 89%, a positive predictive value of 50% and a negative predictive value of 100%. S-Detect combined with EU-TIRADS showed a high agreement (>95%) with the gold standard. Conclusions: K-TIRADS’s positive predictive power was slightly better than the other TIRADS, suggesting greater accuracy in correctly diagnosing positive cases. S-DETECT combined with EU-TIRADS has similar results to S-Detect with ACR- and K-TIRADS in terms of sensitivity, specificity and negative predictive power. However, it has a slightly better positive predictive power, suggesting greater accuracy in correctly diagnosing positive cases than the ACR- and K-TIRADS classification systems. In general, S-Detect cannot yet be considered a substitute for the human observer but only as an important support for human evaluation and an excellent and fast help to provide a comprehensive and complete report. Clinical Relevance/Application: S-Detect is a valuable tool for characterizing thyroid nodules when integrated with radiologist evaluation. It is also an important support tool for less experienced observers. Particularly interesting is the approach of use in integrated combination of the K-TIRADS by the human observer with S-Detect using EU-TIRADS, which could increase the overall diagnostic efficiency of the systems. Full article

Poorly differentiated thyroid malignancy, a rare histological type of aggressive thyroid malignancy with associated difficulties and gaps in its histological and molecular characterization, might lead to challenging clinical presentations that require a prompt multimodal approach. This case study involved a 56-year-old, non-smoking male with a rapidly developing goiter (within 2–3 months) in association with mild, non-specific neck compressive symptoms. His medical history was irrelevant. A voluminous goiter with substernal and posterior extension up to the vertebral bodies was detected using an ultrasound and computed tomography (CT) scan and required emergency thyroidectomy. He had normal thyroid function, as well as negative thyroid autoimmunity and serum calcitonin. The surgery was successful upon “Y” incision, which was used to give better access to the retrosternal component in order to avoid a sternotomy. Post-operatively, the subject developed hypoparathyroidism-related hypocalcemia and showed a very high serum thyroglobulin level (>550 ng/mL). The pathological report confirmed poorly differentiated, multifocal thyroid carcinoma (with an insular, solid, and trabecular pattern) against a background of papillary carcinoma (pT3b, pN0, and pM1; L1; V2; Pn0; R1; and stage IVB). The subject received 200 mCi of radioiodine therapy for 6 weeks following the thoracic surgery. Whole-body scintigraphy was performed before radioiodine therapy and showed increased radiotracer uptake at the thyroid remnants and pre-tracheal levels. Additionally, single-photon emission computed tomography combined with CT (SPECT/CT) was performed, and confirmed the areas of intense uptake, in addition to a moderate uptake in the right and left pulmonary parenchyma, suggesting lung metastasis. To conclude, an overall low level of statistical evidence exists regarding poorly differentiated malignancy in substernal goiters, and the data also remains scarce regarding the impact of genetic and molecular configurations, such as the BRAF-positive profile, in this specific instance. Furthermore, multimodal management includes additional diagnosis methods such as SPECT/CT, while long-term multilayered therapy includes tyrosine kinase inhibitors if the outcome shows an iodine-resistant profile with a poor prognosis. Awareness remains a key factor in cases of a poorly differentiated carcinoma presenting as a rapidly growing goiter with substernal extension in an apparently healthy adult. A surgical approach, while varying with the surgeon’s skills, represents a mandatory step to ensure a better prognosis. In addition to a meticulous histological characterization, genetic/molecular features provide valuable information regarding the outcome and can further help with the decision to use new anti-cancer drugs if tumor response upon radioiodine therapy is no longer achieved; such a development is expected in this disease stage in association with a BRAF-positive configuration. Full article

Background/Objectives: Cadherin-6 (CDH6), also known as K-cadherin, is a type II classic cadherin molecule that plays an important role in the embryonic development of the kidney but has very limited expression in adult tissues. It is overexpressed in several human malignancies, primarily in ovarian cancer, renal cell carcinoma, as well as, less frequently, cholangiocarcinoma, uterine serous carcinoma, glioma, lung, pancreatic and thyroid cancers. The characteristic of limited expression in normal tissues, high expression in tumor tissues, and rapid internalization upon antibody binding makes CDH6 a well-suited antibody-drug conjugate (ADC) target. Methods: We developed a novel CDH6-targeting ADC, CUSP06, consisting of a proprietary humanized antibody selective for CDH6, a protease cleavable linker, and an exatecan payload, with a drug-to-antibody ratio (DAR) of 8. We further characterized the pharmacological activities of CUSP06 in multiple in vitro and in vivo models. Results: CUSP06 was selectively bound to cell surface CDH6 and was efficiently internalized into CDH6-positive ovarian cancer cells, and led to the induction of DNA damage and apoptosis of CDH6-positive cancer cells. CUSP06 exhibited strong antiproliferative activity against several CDH6-positive cancer cell lines and demonstrated strong bystander cell killing effect in the cell mixing experiments in vitro. CUSP06 exhibits excellent in vivo antitumor efficacy in CDH6-high or -low cell line-derived xenograft (CDX) or patient-derived xenograft (PDX) models from human ovarian, renal and uterine cancers, as well as cholangiocarcinoma. CUSP06 demonstrated a favorable safety profile in GLP-compliant toxicology studies in Sprague Dawley rats and cynomolgus monkeys. Conclusions: The preclinical data highlighted the therapeutic potential of CUSP06 in multiple CDH6-positive human cancers. Full article

The development of novel platinum-based anticancer agents remains a critical objective in medicinal inorganic chemistry, particularly in light of resistance and toxicity limitations associated with cisplatin. In this study, the synthesis, structural characterization, quantum chemical analysis, and cytotoxic evaluation of four new acetylplatinum(II) complexes (cis-[Pt(COMe)₂(PASO₂)₂], cis-[Pt(COMe)₂(DAPTA)₂], trans-[Pt(COMe)Cl(DAPTA)₂], and trans-[Pt(COMe)Cl(PASO₂)]: 1–4, respectively) bearing cage phosphine ligands PASO₂ (2-thia-1,3,5-triaza-phosphaadamantane 2,2-dioxide) and DAPTA (3,7-diacetyl-1,3,7-triaza-5-phosphabicyclo[3.3.1]nonane) are presented. The coordination geometries and NMR spectral features of the cis/trans isomers were elucidated through multinuclear NMR and DFT calculations at the B3LYP/6-311++G(d,p)/LanL2DZ level, with strong agreement between experimental and theoretical data. Quantum Theory of Atoms in Molecules (QTAIM) analysis was applied to investigate bonding interactions and assess the covalent character of Pt–ligand bonds. Cytotoxicity was evaluated against five human cancer cell lines. The PASO₂-containing complex in cis-configuration, 1, demonstrated superior activity against thyroid (8505C) and head and neck (A253) cancer cells, with potency surpassing that of cisplatin. The DAPTA complex 2 showed enhanced activity toward ovarian (A2780) cancer cells. These findings highlight the influence of ligand structure and isomerism on biological activity, supporting the rational design of phosphine-based Pt(II) anticancer drugs. Full article

Background: Thyroid neoplasms exhibit a diverse molecular landscape, and the 2022 WHO classification emphasizes the critical role of molecular profiling in thyroid cancer management; however, comprehensive mutational data from fine-needle aspiration cytology (FNAC) samples using targeted next-generation sequencing (NGS) are still limited, necessitating further investigation to guide clinical practice. Purpose: To characterize the mutational landscape of thyroid neoplasms using targeted NGS of FNAC samples and to assess the clinical implications of molecular profiling. Materials and Methods: This retrospective study included 952 patients with thyroid carcinomaneoplasms who underwent surgery at Sun Yat-sen Memorial Hospital from 2021 to 2023. Preoperative ultrasound, FNAC, and targeted NGS were performed. NGS panels covering 18, 88, and pan-cancer genes were used to analyze FNAC samples. Molecular alterations were correlated with clinical and pathological features. Results: The most frequent mutation was BRAF^V600E (84.45%), followed by RET (6.41%), BRCA1/2 (4.41%) and RAS (4.41%). Patients were categorized into BRAF-like (830 cases), RAS-like (36 cases), high-risk mutations (25 cases), and other mutations (28 cases). High-risk mutations were associated with older age and larger tumor size. BRAF-like tumors had a higher lymph node metastasis rate (58.77%) compared to RAS-like tumors (33.33%). Tumor mutation burden varied significantly among different thyroid neoplasm subtypes. Conclusions: Molecular profiling using targeted NGS of FNAC samples provides valuable insights into the genetic landscape of thyroid neoplasms and has significant clinical implications for diagnosis and personalized treatment strategies. Further validation with paired tumor and plasma samples is warranted. Full article

Background: The prognosis management of thyroid cancer remains a significant challenge. This study highlights the critical role of T cells in the tumor microenvironment and aims to improve prognostic precision by integrating bulk RNA-seq and single-cell RNA-seq (scRNA-seq) data, providing a more comprehensive view of tumor biology at the single-cell level. Method: 15 thyroid cancer scRNA-seq samples were analyzed from GEO and 489 patients from TCGA. A multi-level attention graph neural network (MLA-GNN) model was applied to integrate T-cell-related differentially expressed genes (DEGs) for predicting disease-free survival (DFS). Patients were divided into training and validation cohorts in an 8:2 ratio. Result: We systematically characterized the immune microenvironment of metastatic thyroid cancer by using single-cell transcriptomics and identified the important role of T-cell subtypes in the development of thyroid cancer. T-cell-based DEGS between tumor tissues and normal tissues were also identified. Subsequently, T-cell-based risk signatures were selected for establishing a risk model using MLA-GNN. Finally, our MLA-GNN-based model demonstrated an excellent ability to predict the DFS of thyroid cancer patients (1-year AUC: 0.965, 3-years AUC: 0.979, and 5-years AUC: 0.949 in training groups, and 1-year AUC: 0.879, 3-years AUC: 0.804, and 5-years AUC: 0.804 in validation groups). Conclusions: Risk features based on T-cell genes have demonstrated the effectiveness in predicting the prognosis of thyroid cancer. By conducting a comprehensive characterization of T-cell features, we aim to enhance our understanding of the tumor’s response to immunotherapy and uncover new strategies for the treatment of cancer. Full article

Background: Medullary thyroid cancer (MTC), a neuroendocrine tumor originating from thyroid parafollicular C-cells, presents therapeutic challenges, particularly in advanced stages. While RET proto-oncogene mutations are known drivers, a comprehensive understanding of the broader somatic mutation landscape is needed to identify novel therapeutic targets and improve prognostication. This study leveraged the extensive AACR Project GENIE dataset to characterize MTC genomics. Methods: A retrospective analysis of MTC samples from GENIE examined recurrent somatic mutations, demographic/survival correlations, and copy number variations using targeted sequencing data (significance: p < 0.05). Results: Among 341 samples, RET mutations predominated (75.7%, mostly M918T), followed by HRAS (10.0%) and KRAS (5.6%), with mutual exclusivity between RET and RAS alterations. Recurrent mutations included KMT2D (5.3%), CDH11 (5.3%), ATM (5.0%), and TP53 (4.1%). NOTCH1 mutations were enriched in metastatic cases (p = 0.023). Preliminary associations included sex-linked mutations (BRAF/BRCA1/KIT in females, p = 0.028), and survival (ATM associated with longer survival, p = 0.016; BARD1/BLM/UBR5/MYH11 with shorter survival, p < 0.05), though limited subgroup sizes warrant caution. Conclusions: This large-scale genomic analysis confirms the centrality of RET and RAS pathway alterations in MTC and their mutual exclusivity. The association of NOTCH1 mutations with metastasis suggests a potential role in disease progression. While findings regarding demographic and survival correlations are preliminary, they generate hypotheses for future validation. This study enhances the genomic foundation for understanding MTC and underscores the need for integrated clinico-genomic datasets to refine therapeutic approaches. Full article

The need to improve medical diagnosis is of utmost importance in medical research, consisting of the optimization of accurate classification models able to assist clinical decisions. To minimize the errors that can be caused by using a single classifier, the voting ensemble technique can be used, combining the classification results of different classifiers to improve the final classification performance. This paper aims to compare the existing voting ensemble techniques with a new game-theory-derived approach based on Shapley values. We extended this method, originally developed for binary tasks, to the multi-class setting in order to capture complementary information provided by different classifiers. In heterogeneous clinical scenarios such as thyroid nodule diagnosis, where distinct models may be better suited to identify specific subtypes (e.g., benign, malignant, or inflammatory lesions), ensemble strategies capable of leveraging these strengths are particularly valuable. The motivating application focuses on the classification of thyroid cancer nodules whose cytopathological clinical diagnosis is typically characterized by a high number of false positive cases that may result in unnecessary thyroidectomy. We apply and compare the performance of seven individual classifiers, along with four ensemble voting techniques (including Shapley values), in a real-world study focused on classifying thyroid cancer nodules using proteomic features obtained through mass spectrometry. Our results indicate a slight improvement in the classification accuracy for ensemble systems compared to the performance of single classifiers. Although the Shapley value-based voting method remains comparable to the other voting methods, we envision this new ensemble approach could be effective in improving the performance of single classifiers in further applications, especially when complementary algorithms are considered in the ensemble. The application of these techniques can lead to the development of new tools to assist clinicians in diagnosing thyroid cancer using proteomic features derived from mass spectrometry. Full article

Background/Objectives: Papillary thyroid carcinoma (PTC) accounts for the majority of thyroid cancers, with lymph node metastasis, including skip metastasis (SM), playing a crucial role in guiding prognosis and therapeutic planning. SM, characterized by lateral lymph node spread in the absence of central compartment involvement, has been observed in PTC with a wide range of reported frequencies. The identification of risk factors for SM is crucial for preoperative evaluation and surgical planning. This research aims to explore the clinicopathological features and potential risk factors linked to SM in patients with PTC, while also offering valuable insights for preoperative risk evaluation. Methods: A retrospective cohort study was conducted on 81 PTC patients who underwent central and lateral cervical lymph node dissection (LND) in our center. Clinical, demographic, and pathological data, including age, sex, tumor size, location, subtype, extrathyroidal extension, lymphovascular invasion, and the number of lymph node metastases were analyzed. Clinicopathological characteristics were analyzed between SM-positive and SM-negative patient groups using suitable statistical methods. Additionally, a regression analysis was performed to identify the risk factors for SM. Results: Of the 81 patients, 17.3% (n = 14) were diagnosed with skip metastasis (SM). The SM-positive group had a significantly higher age (p = 0.006), smaller tumor size (p < 0.001), and higher rates of extrathyroidal extension (p = 0.006). The proportion of female patients was elevated in the SM-positive group, but this observation did not achieve statistical significance (p = 0.128). Tumors located in the upper pole were more common in the SM-positive group (p = 0.016). Multivariate analysis revealed that female sex, older age, and tumor location in the upper pole were significant risk factors for SM (p = 0.031, p = 0.004, and p = 0.017, respectively), while a lower number of lateral lymph node metastases was significantly associated with SM (p = 0.010). Additionally, an age over 43.5 years predicted SM with a sensitivity of 78.6% and a specificity of 72.7%. Conclusions: Skip metastasis is not uncommon in PTC and may be associated with older age, female sex, upper pole tumor location, and fewer lateral lymph node metastases. Recognizing these factors during preoperative assessment may aid in anticipating atypical lymphatic spread patterns and optimizing surgical strategies. Full article

Ocular flutter is an uncommon ophthalmic finding that may indicate paraneoplastic phenomena, and it is clinically characterized by intermittent bursts of conjugate, horizontal saccades without an intersaccadic interval. Ocular flutter must be differentiated from opsoclonus, which, although also characteristic of certain paraneoplastic syndromes, is instead defined by multidirectional saccades on both the horizontal and vertical planes. This report describes a very rare presentation of anti-Ri syndrome in a patient with an undiagnosed breast cancer, presenting with ocular flutter, dizziness, blurred vision, photophobia, and vomiting. Comprehensive evaluations, including contrast-enhanced brain Magnetic Resonance Imaging (MRI), brain Computed Tomography (CT) scan, ophthalmological assessment, viral serology, complete blood count and thyroid, renal coagulation, hepatic function assessments, vitamin D and B12 levels, were all normal. Upon excluding other potential etiologies for the neurological symptoms, a paraneoplastic origin was considered. Serological tests confirmed the presence of anti-Ri onconeural antibodies, and a whole-body CT scan identified nodules in the right breast. Despite surgical excision of the primary tumor and subsequent medical therapy, there was no improvement in the neurological symptoms. Follow-up evaluations at 2 months, 6 months, 1 year and 2 years revealed persistent vestibular and neurological symptoms, with serum tests remaining positive for anti-Ri antibodies and no clinical or radiological evidence of neoplastic recurrence. Full article

Background/Objectives: Cancer stem cells (CSCs) represent a minor yet critical subpopulation within tumors, endowed with self-renewal and differentiation capacities, and are implicated in tumor initiation, progression, metastasis, therapeutic resistance, and recurrence. Reliable in vitro functional assays to characterize CSCs are pivotal for the development of personalized oncology strategies. This study sought to establish and validate a microfluidic device (MD) platform for the enrichment, functional assessment, and therapeutic evaluation of CSC populations derived from experimental models and primary tumor samples. Methods: Murine (LM38LP) and human (BPR6) breast cancer cell lines were cultured within MDs to promote sphere formation. CSC enrichment was confirmed through the expression analysis of pluripotency-associated genes (Oct4, Sox2, Nanog, and CD44) by quantitative PCR (qPCR) and immunofluorescence. Sphere number, size, and gene expression profiles were quantitatively assessed before (control) and after chemotherapeutic exposure. To validate the MD platform against conventional scale, parallel experiments were performed in 12 well plates. To extend translational relevance, three primary canine tumor samples (solid thyroid carcinoma, simple tubular carcinoma, and reactive lymph node) were mechanically disaggregated and processed within MDs for CSC characterization. Results: The MD platform enabled the consistent enrichment of CSC populations, showing significant modulation of sphere growth parameters and stemness marker expression following chemotherapeutic treatment. Beyond its comparability with conventional culture, the MD also supported immunofluorescence staining and allowed real-time monitoring of individual cell growth. Sphere formation efficiency (SFE) and CSC marker expression were similarly demonstrated in primary veterinary tumor cultures, highlighting the device’s cross-species applicability. Conclusions: Microfluidic-based sphere assays represent a robust, reproducible, and scalable platform for the functional interrogation of CSC dynamics and therapeutic responses. This methodology holds great promise for advancing CSC-targeted therapies and supporting personalized oncology in both human and veterinary settings. Full article

Background and Objectives: Many diagnostic methods exist for identifying thyroid malignancy, but most of them resemble an odyssey, as the journey from palpating a nodule to receiving a definitive diagnose is often long and costly. The aim of the present study is to investigate the role of Sestamibi scintigraphy in the characterization of cytological indeterminate thyroid nodules. Materials and Methods: A focused literature review was conducted, emphasizing the comparison between Fine Needle Aspiration Biopsy (FNAB), the main diagnostic method for thyroid cancer, and Sestamibi. Results: It is widely accepted that Sestamibi is the primary alternative for patients with non-diagnostic FNAB. As shown in the literature, Sestamibi has a high negative predictive value in excluding thyroid malignancy. Conclusions: Much like Odysseus’ adventurous 10-year journey returning to Ithaca, the path to diagnosing thyroid cancer is not straightforward. Molecular imaging with 99mTc-Sestamibi may serve as a valuable adjunct in evaluating thyroid nodules with inconclusive cytological findings. Full article

The Fabaceae family is known for the presence of isoflavones—phytoestrogens with potential chemopreventive effects against hormone-dependent cancers. This study aimed to optimize isoflavones extraction using a fractional factorial design and to quantitatively and qualitatively analyze 32 Fabaceae species native to Polish flora by HPLC-UV-VIS to indicate new, rich plant sources of isoflavones. The optimal extraction method was a 60 min reflux with 50% methanol and a plant material-to-solvent ratio of 1:125. The highest isoflavone levels were found in Trifolium medium (26.70 mg/g d.m.), Genista tinctoria (19.65 mg/g d.m.), and Trifolium pratense (12.56 mg/g d.m.). The obtained extracts were further evaluated for cytotoxic and antiproliferative activity against MCF7 and MDA-MB-231 human breast cancer cells. Genista tinctoria showed the highest cytotoxicity against MCF7, while Cytisus scoparius and Ononis arvensis were most effective against MDA-MB-231 at a dose of 500 µg/mL. The extracts were also characterized by varied, potent antioxidant properties, important in chemoprevention. A strong correlation was observed between isoflavone content and cytotoxic and antiproliferative activity exclusively in the estrogen receptor-positive MCF7 cell line. Importantly, the tested extracts demonstrated no toxic effects on normal human liver (HepG2), thyroid (Nthy-ori 3-1), or breast (MCF10A) cells, indicating a favorable safety profile. Full article