How to improve the performance of circulating tumor DNA (ctDNA) signal acquisition and the accuracy to authenticate ultra low-frequency mutation are major challenges of minimal residual disease (MRD) detection in solid tumors. In this study, we developed a new MRD bioinformatics algorithm, namely multi-variant joint confidence analysis (MinerVa), and tested this algorithm both in contrived ctDNA standards and plasma DNA samples of patients with early non-small cell lung cancer (NSCLC). Our results showed that the specificity of multi-variant tracking of MinerVa algorithm ranged from 99.62% to 99.70%, and when tracking 30 variants, variant signals could be detected as low as 6.3 × 10 ^-5 variant abundance. Furthermore, in a cohort of 27 NSCLC patients, the specificity of ctDNA-MRD for recurrence monitoring was 100%, and the sensitivity was 78.6%. These findings indicate that the MinerVa algorithm can efficiently capture ctDNA signals in blood samples and exhibit high accuracy in MRD detection.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Neoplasm, Residual/pathology* ; Biomarkers, Tumor/genetics* ; Computational Biology

Humans ; Immunoblastic Lymphadenopathy/pathology* ; Lymphoma, T-Cell, Peripheral/pathology* ; Molecular Biology

Objective To investigate the role and mechanism of circ_0092315 in the proliferation and invasion of papillary thyroid carcinoma cells. Methods The expression of circ_0092315 in papillary thyroid carcinoma cells was examined by real-time fluorescence quantitative PCR.The proliferation and invasion of TPC-1 cells was assessed by CCK-8 and Transwell assays.The protein level of high mobility group A2 (HMGA2) was determined by Western blotting.The regulatory relationship of circ_0092315,microRNA-1256 (miR-1256),and HMGA2 was explored by bioinformatics tools,dual-luciferase reporter assay,real-time fluorescence quantitative PCR,and Western blotting. ++++Results circ_0092315 was overexpressed in papillary thyroid carcinoma cells (all P<0.001).circ_0092315 promoted the proliferation and invasion of TPC-1 cells (all P<0.001).The transfection of si-circ_0092315 up-regulated the expression of miR-1256 (P<0.001),and miR-1256 inhibitor up-regulated the protein level of HMGA2 (P<0.001). ++++Conclusion circ_0092315 is overexpressed in TPC-1 cells and it promotes the proliferation and invasion of TPC-1 cells by regulating the miR-1256/HMGA2 axis.
Humans ; Thyroid Cancer, Papillary/genetics* ; Computational Biology ; Thyroid Neoplasms/genetics* ; Cell Proliferation ; MicroRNAs/genetics*

Tunneling nanotube (TNT) is a newly discovered communication mode between animal cells in recent years, which have important physiological and pathological significance. However, the role of TNT in bone biology is still unclear. At present, there are many reports about tunneling nanotubes in bone marrow mesenchymal stem cells, osteoclast precursor cells, osteoblasts and immune cells. This review describes the research advances of TNT and its research progress in bone biology. It looks forward to the research direction of TNT in oral and maxillofacial bone development and bone biology, to provide new strategies for the maintenance of bone homeostasis and the treatment of bone diseases.
Animals ; Bone and Bones ; Nanotubes ; Osteoclasts ; Biology ; Cell Communication/physiology*

Objective: To investigate the clinicopathological features, molecular genetic features, differential diagnosis and prognosis of ELOC mutated renal cell carcinoma. Methods: From January 2015 to June 2022, 11 cases of renal cell carcinoma with clear-cell morphology, expression of CAⅨ and CK7 and no 3p deletion were collected. Two cases of ELOC mutant renal cell carcinoma were diagnosed using whole exome sequencing (WES). The clinical features, morphology, immunophenotype, FISH and WES results were analyzed. The relevant literature was reviewed. Results: The two patients were both male, aged 29 and 51 years, respectively. They were both found to have a renal mass by physical examination. The maximum diameters of the tumors were 3.5 cm and 2.0 cm, respectively. At the low magnification, the tumors were well-defined. The tumor cells showed a pushing border and were separated by thick fibrous bands, forming nodules. The tumor cells were arranged in a variety of patterns, including tubular, papillary, solid nest or alveolar. At high magnification, the tumor cells were large, with well-defined cell borders and clear cytoplasm or fine eosinophilic granules. CAⅨ was diffusely box-like positive in both cases. Case 1 was partially and moderately positive for CK7, strongly positive for CD10, diffusely and moderately positive for P504S, and weakly positive for 34βE12. In case 2, CK7 and CD10 were both partially, moderately positive and P504s were diffusely positive, but 34βE12 was negative. FISH results showed that both cases had no 3p deletion. ELOC c.235T>A (p.Y79N) mutation was identified using WES in case 1, while ELOC c.236_237inv (p.Y79C) mutation was identified in case 2. Conclusions: As a new clinical entity, ELOC mutated renal cell carcinoma may be underdiagnosed due to its overlap with clear cell renal cell carcinoma in morphology and immunophenotype. The diagnosis of renal cell carcinoma with ELOC mutation should be confirmed by morphology, immunohistochemistry, FISH and gene mutation detection. However, more additional cases are needed to explain its biological behavior and prognosis.
Humans ; Male ; Biomarkers, Tumor/genetics* ; Carcinoma, Renal Cell/pathology* ; Chromosome Aberrations ; Kidney Neoplasms/pathology* ; Molecular Biology ; Mutation ; Prognosis

Cell therapy approaches that employ engineered mammalian cells for on-demand production of therapeutic agents in the patient's body are moving beyond proof-of-concept in translational medicine. The therapeutic cells can be customized to sense user-defined signals, process them, and respond in a programmable and predictable way. In this paper, we introduce the available tools and strategies employed to design therapeutic cells. Then, various approaches to control cell behaviors, including open-loop and closed-loop systems, are discussed. We also highlight therapeutic applications of engineered cells for early diagnosis and treatment of various diseases in the clinic and in experimental disease models. Finally, we consider emerging technologies such as digital devices and their potential for incorporation into future cell-based therapies.
Animals ; Cell Engineering ; Gene Regulatory Networks ; Genetic Engineering ; Humans ; Mammals/genetics* ; Synthetic Biology

Objective: To investigate the clinicopathological features and molecular genetics of cyclin D1-negative mantle cell lymphoma (MCL). Methods: The clinicopathological features and molecular genetics of CyclinD1-negative MCL diagnosed between January 2016 and July 2021 at the First Affiliated Hospital of Zhengzhou University were analyzed using immunohistochemistry and fluorescence in situ hybridization. Clinical information was collected and analyzed. Results: A total of five Cyclin D1-negative MCL cases from all 212 MCL patients (5/212, 2.4%)were included. There were three male and two female patients,age ranged from 59 to 70 years (median 64 years). All patients presented with nodal lesions. None of the patients had B symptoms but four had bone marrow involvement. Histopathologically, four cases were classic MCL and one case was pleomorphic variant type. All five cases were negative for Cyclin D1 but SOX-11 were positive in all cases. CD5 was positive in four cases and one case was weakly positive for CD23. CD10 and bcl-6 were negative in all cases. CCND1 translocation was identified in three cases and CCND2 translocation in one case by FISH analysis. However,CCND3 translocations were not found in the five cases. Conclusions: Cyclin D1-negative MCL are uncommon, its accurate diagnosis needs combined analysis with morphologic and immunophenotypic characteristics and genetic changes. It may be particularly difficult to distinguish from other small cell type B cell lymphomas. FISH analyses for CCND1/CCND2/CCND3 translocations and immunohistochemistry for SOX-11 are helpful to resolve such a difficult distinction.
Aged ; Cyclin D1/genetics* ; Female ; Humans ; Immunohistochemistry ; In Situ Hybridization, Fluorescence ; Lymphoma, Mantle-Cell/pathology* ; Male ; Middle Aged ; Molecular Biology

OBJECTIVE: Osteosarcoma(OS) and Ewing's sarcoma (EWS) are the two most common primary malignant bone tumors in children. The aim of the study was to identify key genes in OS and EWS and investigate their potential pathways. METHODS: Expression profiling (GSE16088 and GSE45544) were obtained from GEO DataSets. Differentially expressed genes were identified using GEO2R and key genes involved in the occurrence of both OS and EWS were selected using venn diagram. Gene ontology and pathway enrichment analyses were performed for the ensembl. Protein-protein interaction (PPI) networks were established by STRING. Further, UCSC was used to predict the transcription factors of the cell division cycke 5-like(CDC5L) gene, and GEPIA was used to analyze the correlation between the transcription factors and the CDC5L gene. RESULTS: The results showed that CDC5L gene was the key gene involved in the pathogenesis of OS and EWS. The gene is mainly involved in mitosis, and is related to RNA metabolism, processing of capped intron-containing pre-mRNA, mRNA and pre-mRNA splicing. CONCLUSION CDC5L, as a key gene, plays a role in development of OS and EWS, which may be reliable targets for diagnosis and treatment of these primary malignant tumors.
Bone Neoplasms/pathology* ; Cell Cycle Proteins/genetics* ; Child ; Computational Biology ; Gene Expression Profiling ; Humans ; Osteosarcoma/genetics* ; RNA-Binding Proteins/genetics* ; Sarcoma, Ewing/genetics*

BACKGROUND: Ubiquitin-conjugating enzyme E2C (UBE2C) has been shown to be associated with the occurrence of various cancers and involved in many tumorigenic processes. This study aimed to investigate the specific molecular mechanism through which UBE2C affects breast cancer (BC) proliferation. METHODS: BC-related datasets were screened according to filter criteria in the Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA) database. Then differentially expressed genes (DEGs) were identified using Venn diagram analysis. By using DEGs, we conducted the following analyses including Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction (PPI), and survival analysis, and then validated the function of the hub gene UBE2C using quantitative reverse transcription-polymerase chain reaction (RT-qPCR), cell counting kit-8 (CCK-8) assay, transwell assay, and Western blot assay. RESULTS: In total, 151 DEGs were identified from the GEO and TCGA databases. The results of GO analysis demonstrated that the DEGs were significantly enriched with mitotic nuclear division, lipid droplet, and organic acid-binding. KEGG analysis showed that the peroxisome proliferators-activated receptor (PPAR) signaling pathway, regulation of lipolysis in adipocytes, and proximal tubule bicarbonate reclamation were significantly enriched in the signal transduction pathway category. The top three hub genes that resulted from the PPI network were FOXM1, UBE2C, and CDKN3. The results of survival analysis showed a close relationship between UBE2C and BC. The results of CCK-8 and transwell assays suggested that the proliferation and invasion of UBE2C knockdown cells were significantly inhibited (P < 0.050). The results of Western blot assay showed that the level of phosphorylated phosphatase and tensin homology deleted on chromosome 10 (p-PTEN) was obviously increased (P < 0.050), whereas the levels of phosphorylated protein kinase B (p-AKT), phosphorylated mammalian target of rapamycin (p-mTOR), and hypoxia-inducible factor-1 alpha (HIF-1α) were dramatically decreased (P < 0.050) in the UBE2C knockdown cell. CONCLUSION UBE2C can promote BC proliferation by activating the AKT/mTOR signaling pathway.
Biomarkers, Tumor ; Breast Neoplasms/pathology* ; Cell Proliferation/genetics* ; Computational Biology ; Female ; Gene Expression Regulation, Neoplastic ; Humans ; Proto-Oncogene Proteins c-akt/genetics* ; Signal Transduction/genetics* ; TOR Serine-Threonine Kinases/genetics* ; Ubiquitin-Conjugating Enzymes/metabolism*

OBJECTIVE: To analyze the hub genes affecting the solely bone marrow relapse of childish acute B-cell lymphoblastic leukemia (B-ALL). METHODS: The high-throughput RNA sequencing data were downloaded from TCGA database, the differentially expressed genes were screened by DESeq2 package of R, and the differentially expressed genes were grouped by GO function enrichment analysis and KEGG pathway enrichment analysis. Further, the data of STRING database and Cytoscape software were used to construct protein interaction network, screen hub genes and highly interaction protein sub network, perform GO and KEGG analysis of the hub genes and protein sub network respectively. JASPAR database was used to screen the upstream transcription factor of the hub gene promoter. Survival analysis based on the expression of hub genes was performed with clinical information attached to TCGA database. The bone marrow samples and clinical data of the patients were collected, the analysis results of hub genes were verified through clinical samples. RESULTS: 847 differentially expressed genes were collected, including 813 up-regulated genes, 34 down-regulated genes, 11 hub genes were screened out. The results of survival analysis showed that RPS5、RPS15、RPL23、RPL35、RPS8、RPS27A、RPS3、RPL9、RPS21、RPS7 and RPL38 showed significant effect on the survival of the children, and ZNF460 might be involved in their regulation. The high expressions of RPS3, RPS15, RPS8, RPS27A, and RPS21 had been verified in clinical samples of solely bone marrow relapsed patients. CONCLUSION RPS3, RPS15, RPS8, RPS27A, RPS21 can be used as biomarkers to indicate the malignant event of solely bone marrow relapse, which may be regulated by ZNF460.
Bone Marrow ; Child ; Computational Biology ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Leukemia, B-Cell ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; Recurrence