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The molecular landscape of acute lymphoblastic leukemia (ALL) is highly heterogeneous, and genetic lesions are clinically relevant for diagnosis, risk stratification, and treatment guidance. Next-generation sequencing (NGS) has become an essential tool for clinical laboratories, where disease-targeted panels are able to capture the most relevant alterations in a cost-effective and fast way. However, comprehensive ALL panels assessing all relevant alterations are scarce. Here, we design and validate an NGS panel including single-nucleotide variants (SNVs), insertion-deletions (indels), copy number variations (CNVs), fusions, and gene expression (ALLseq). ALLseq sequencing metrics were acceptable for clinical use and showed 100% sensitivity and specificity for virtually all types of alterations. The limit of detection was established at a 2% variant allele frequency for SNVs and indels, and at a 0.5 copy number ratio for CNVs. Overall, ALLseq is able to provide clinically relevant information to more than 83% of pediatric patients, making it an attractive tool for the molecular characterization of ALL in clinical settings.
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http://dx.doi.org/10.3390/ijms24054440 | DOI Listing |
Zhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou 450003, China.
To investigate the clinicopathological features, genetic characteristics, and differential diagnosis of glomangiomatosis with uncertain malignant potential. Two cases of glomangiomatosis with uncertain malignant potential were collected at Henan Provincial People's Hospital from 2013 and 2023. Immunohistochemistry and next generation sequencing (DNA-seq) were used to detect the related protein and gene variation.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
To explore the clinicopathological and molecular genetic characteristics of anaplastic lymphoma kinase (ALK)-rearranged renal cell carcinoma (RCC), including a rare case with the TPM1-ALK gene subtype. Three cases of ALK-rearranged RCC diagnosed in the Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China from January 2020 to December 2024 were collected. Their clinical pathological and next-generation sequencing (NGS) data were analyzed.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
To investigate the clinicopathological and genetic characteristics of monomorphic epitheliotropic intestinal T-cell lymphoma (MEITL). The forty-two MEITL cases diagnosed in the Department of Pathology, Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China from 2016 to 2022 was retrospectively analyzed. Clinical data were collected, and follow-up was performed.
View Article and Find Full Text PDFJ Neurosurg Case Lessons
September 2025
Department of Neurosurgery, St. Francis Hospital & Heart Center, Roslyn, New York.
Background: Myxoid spindle cell neoplasm and meningioma are two different pathologies that can have similar radiographic findings. Despite their benign radiographic appearance, myxoid spindle cell neoplasms are heterogeneous, prone to recurrence, and associated with high mortality.
Observations: The authors present the case of a woman in her late 60s who experienced a witnessed seizure characterized by right arm tonic-clonic movements and subsequent left-sided manifestations.
JMIR Hum Factors
September 2025
College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Background: The rapid advancement of next-generation sequencing has significantly expanded the landscape of precision medicine. However, health care professionals face increasing challenges in keeping pace with the growing body of oncological knowledge and integrating it effectively into clinical workflows. Precision oncology decision support (PODS) tools aim to assist clinicians in navigating this complexity, yet their current functionalities only partially address clinical needs.
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