Disappearance of femoral head shortly after femoral neck fracture: a case report and literature review DOI Creative Commons

Hairui Liang,

Beibei Chen,

Siyu Duan

et al.

Journal of International Medical Research, Journal Year: 2024, Volume and Issue: 52(8)

Published: Aug. 1, 2024

This case report describes a woman in her 70s who presented with 3-month history of hip pain and inability to walk. Upon admission, she was diagnosed the extremely rare condition complete femoral head disappearance. A comprehensive examination conducted determine cause devise an effective treatment strategy, taking patient’s medical into account. Through interdisciplinary discussions, occult infection other potential causes were ruled out. The disappearance ultimately determined be due wear, ischemia, absorption following fracture. After informing patient diagnosis plan, total arthroplasty proposed. highlights rarity severity patients neck fractures, emphasizing effectiveness appropriate joint prostheses managing such cases. has significant implications for clinical diagnosis, treatment, complication prevention. also discusses acquired disappearance, relevant diagnostic assessments, alternative options.

Language: Английский

Comprehensive Analysis of FBXO43 Expression and Its Prognostic and Therapeutic Implications in Osteosarcoma DOI Creative Commons
Jiang Jin, Yao Kang, Tingxiao Zhao

et al.

International Journal of Clinical Practice, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Background: Osteosarcoma (OS) is the most common malignant bone tumor in children and adolescents. FBXO43, a member of F‐box protein family, has been identified as crucial prognostic factor several cancers. However, its role osteosarcoma remains largely unexplored. Methods: This study investigated expression potential FBXO43 across TCGA pan‐cancer cohort, with particular focus on sarcoma (SARC). We analyzed relationship between various cancer‐related pathways, immune infiltration, genomic features, including TP53 mutations. also conducted immunotherapy predictive analyses using TIDE Submap algorithms. To validate our findings, we performed series vitro experiments, cell invasion wound healing assays. Results: was found to be significantly overexpressed cancers particularly associated pathways such E2F_TARGETS G2M_CHECKPOINT SARC samples. Differential linked distinct infiltration patterns pathway enrichments. Notably, high higher mutation rate. Predictive indicated that patients low had better responses, suggesting diagnostic biomarker. These findings were corroborated by functional Conclusion: Our comprehensive analysis reveals plays critical progression osteosarcoma, impacting both stability. levels may serve valuable biomarkers for predicting responses patients. Future studies should aim elucidate molecular mechanisms driving FBXO43’s validating these clinical settings develop targeted therapeutic strategies.

Language: Английский

Citations

0
Microstructural and transcriptomic characterization of trabecular bone in idiopathic osteonecrosis of the femoral head DOI Creative Commons
Laura Saldaña,

Gema Vallés,

Nuria Vilaboa

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 8, 2025

Language: Английский

Citations

0
Aging and autophagic phenotypic changes in bone marrow mesenchymal stem cells in glucocorticoid-induced osteonecrosis DOI

Ruomu Cao,

Heng Li, Guanzhi Liu

et al.

International Immunopharmacology, Journal Year: 2025, Volume and Issue: 152, P. 114389 - 114389

Published: March 11, 2025

Language: Английский

Citations

0
Identification of microtubule-associated biomarker using machine learning methods in osteonecrosis of the femoral head and osteosarcoma DOI Creative Commons

Sha Yang,

Ying Zhao, Ying Tan

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31853 - e31853

Published: May 24, 2024

BackgroundThis study aims to explore the microtubule-associated gene signatures and molecular processes shared by osteonecrosis of femoral head (ONFH) osteosarcoma (OS).MethodsDatasets from TARGET GEO databases were subjected bioinformatics analysis, including functional enrichment analysis genes ONFH OS. Prognostic identified using univariate multivariate Cox regression analyses develop a risk score model for predicting overall survival immune characteristics. Furthermore, LASSO SVM-RFE algorithms biomarkers ONFH, which validated in Function prediction, ceRNA network gene–drug interaction construction subsequently conducted. Biomarker expression was then on clinical samples qPCR.ResultsA total 14 disease detected Subsequently, based four created, revealing that patients with low-risk exhibited superior outcomes compared those high-risk. Notably, profiles may manifest an antitumor microenvironment. Moreover, utilizing algorithms, diagnostic pinpointed, enabling effective discrimination between healthy individuals as well OS normal tissues. Additionally, 21 drugs targeting these predicted, comprehensive comprising mRNAs, 71 miRNAs, 98 lncRNAs established. The validation biomarker through qPCR affirmed consistency results analysis.ConclusionMicrotubule-associated play pivotal roles ONFH. prognostic constructed, potential therapeutic targets both diseases.

Language: Английский

Citations

0
Development and Validation of Diagnostic Models for Transcriptomic Signature Genes for Multiple Tissues in Osteoarthritis DOI Creative Commons

Qichang Gao,

Yiming Ma,

Tuo Shao

et al.

Journal of Inflammation Research, Journal Year: 2024, Volume and Issue: Volume 17, P. 5113 - 5127

Published: July 1, 2024

Background: Progress in research on expression profiles osteoarthritis (OA) has been limited to individual tissues within the joint, such as synovium, cartilage, or meniscus. This study aimed comprehensively analyze common gene characteristics of various structures OA and construct a diagnostic model. Methods: Three datasets were selected: meniscus, knee joint cartilage. Modular clustering differential analysis genes used for further functional analyses construction protein networks. Signature with highest potential identified verified using external datasets. The these was validated clinical samples by Real-time (RT)-qPCR immunohistochemistry (IHC) staining. investigated status immune cells examining their infiltration. Results: merged dataset included 438 DEGs clustered into seven modules WGCNA. intersection WGCNA 190 genes. Using Least Absolute Shrinkage Selection Operator (LASSO) Random Forest algorithms, nine signature ( CDADC1, PPFIBP1, ENO2, NOM1, SLC25A14, METTL2A, LINC01089, L3HYPDH, NPHP3 ), each demonstrating substantial (areas under curve from 0.701 0.925). Furthermore, dysregulation also observed. Conclusion: demonstrated significant efficacy are involved cell Keywords: osteoarthritis, machine learning, infiltration, model

Language: Английский

Citations

0
Disappearance of femoral head shortly after femoral neck fracture: a case report and literature review DOI Creative Commons

Hairui Liang,

Beibei Chen,

Siyu Duan

et al.

Journal of International Medical Research, Journal Year: 2024, Volume and Issue: 52(8)

Published: Aug. 1, 2024

This case report describes a woman in her 70s who presented with 3-month history of hip pain and inability to walk. Upon admission, she was diagnosed the extremely rare condition complete femoral head disappearance. A comprehensive examination conducted determine cause devise an effective treatment strategy, taking patient’s medical into account. Through interdisciplinary discussions, occult infection other potential causes were ruled out. The disappearance ultimately determined be due wear, ischemia, absorption following fracture. After informing patient diagnosis plan, total arthroplasty proposed. highlights rarity severity patients neck fractures, emphasizing effectiveness appropriate joint prostheses managing such cases. has significant implications for clinical diagnosis, treatment, complication prevention. also discusses acquired disappearance, relevant diagnostic assessments, alternative options.

Language: Английский

Citations

0