Article
Cell Biology
Yucheng Fu, Qiyuan Bao, Zhuochao Liu, Guoyu He, Junxiang Wen, Qi Liu, Yiqi Xu, Zhijian Jin, Weibin Zhang
Summary: This study identified hypoxia-associated genes related to osteosarcoma metastasis and constructed a gene signature to predict osteosarcoma prognosis. Two genes (DCN and P4HA1) were involved in the hypoxia-associated gene signature. Patients with high-risk scores showed lower survival rates, and the gene signature was identified as an independent prognostic factor.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Endocrinology & Metabolism
Xinyue Hu, Xin Zhou, Jue Zhang, Liangliang Li
Summary: This study reveals the significant role of sphingolipid metabolism in osteosarcoma, finding it associated with metastasis and prognosis. The study establishes a prognostic model and identifies immune-related terms and enriched pathways in patients with high sphingolipid metabolism. Several model genes are also identified as indicators of sphingolipid metabolism and risk group.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Oncology
Yoshihiro Yui, Jun Kumai, Kenta Watanabe, Toru Wakamatsu, Satoru Sasagawa
Summary: The prognosis of patients with metastatic and recurrent osteosarcoma has not improved due to the lack of effective treatment for lung metastasis. However, antifibrotic agents may be a potential therapeutic target for suppressing lung metastasis of osteosarcoma cells, as they rely on scaffold in the soft tissue environment.
INTERNATIONAL JOURNAL OF CANCER
(2022)
Article
Cell Biology
Mengkai Yang, Xiaojun Ma, Zhuoying Wang, Tao Zhang, Yingqi Hua, Zhengdong Cai
Summary: The study established a novel glycolysis-related risk signature that could predict the prognosis of patients with osteosarcoma, with patients in the high-risk group showing poor outcomes. Additionally, the low-risk group exhibited higher immune scores and immune infiltration levels compared to the high-risk group.
Article
Oncology
Han Zhang, Guanhong Chen, Xiajie Lyu, Chun Rong, Yingzhen Wang, Ying Xu, Chengyu Lyu
Summary: Based on seven prognosis-related lncRNAs, a novel model with high reliability and accuracy was constructed to predict metastasis in osteosarcoma patients. The model showed exceptional predictive performance with specific lncRNAs associated with signaling pathways and cell types.
CANCER MANAGEMENT AND RESEARCH
(2021)
Article
Medicine, Research & Experimental
Yuhang Jiang, Fengfeng Li, Bowen Gao, Mengjun Ma, Meng Chen, Yanfeng Wu, Weidong Zhang, Yangbai Sun, Sanhong Liu, Huiyong Shen
Summary: The study identified KDM6B as significantly upregulated in osteosarcoma patients, and high expression was associated with poor prognosis. Targeting KDM6B inhibited cell metastasis and further investigations revealed KDM6B promotes osteosarcoma metastasis by modulating LDHA expression.
Article
Immunology
Wenle Li, Youzheng Dong, Wencai Liu, Zhiri Tang, Chenyu Sun, Scott Lowe, Shuya Chen, Rachel Bentley, Qin Zhou, Chan Xu, Wanying Li, Bing Wang, Haosheng Wang, Shengtao Dong, Zhaohui Hu, Qiang Liu, Xintian Cai, Xiaowei Feng, Wei Zhao, Chengliang Yin
Summary: This study compared different machine learning algorithms to predict lung metastasis and overall survival in osteosarcoma patients, showing that the deep belief networks (DBN) algorithm performed the best with high accuracy and precision. The study also designed a nomogram integrating the DBN output as a tool for clinical decision-making.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Endocrinology & Metabolism
Bo Chen, Yuan Zeng, Bo Liu, Gaoxiang Lu, Zhouxia Xiang, Jiyang Chen, Yan Yu, Ziyi Zuo, Yangjun Lin, Jinfeng Ma
Summary: This study identified independent risk factors for distant metastasis (DM) and established two nomograms to predict the occurrence and prognosis of DM in osteosarcoma patients. The nomograms were validated using various analysis methods and were found to be effective tools for predicting the risk of DM and personalized prognosis prediction for patients with DM.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Cuiling Zeng, Li Zhong, Wenqiang Liu, Yu Zhang, Xinhao Yu, Xin Wang, Ruhua Zhang, Tiebang Kang, Dan Liao
Summary: The Rab22a-NeoF1 fusion protein undergoes lysosomal degradation mediated by the autophagy receptor NDP52 and the E3 ligase STUB1. The degradation is facilitated by the phosphorylation of Rab22a-NeoF1 by PINK1 kinase. Sorafenib and Regorafenib can inhibit osteosarcoma lung metastasis induced by Rab22a-NeoF1 by upregulating PINK1. These findings suggest that targeting the lysosomal degradation of the Rab22a-NeoF1 fusion protein may be beneficial for osteosarcoma patients.
Article
Chemistry, Multidisciplinary
Sara F. F. Almeida, Alexandra Fonseca, Jose Sereno, Hugo R. S. Ferreira, Mariana Lapo-Pais, Tania Martins-Marques, Teresa Rodrigues, Rui C. Oliveira, Catarina Miranda, Luis P. Almeida, Henrique Girao, Amilcar Falcao, Antero J. Abrunhosa, Celia M. Gomes
Summary: This study develops an imaging tool using exosomes derived from osteosarcoma cells as natural nanocarriers for the noninvasive detection of lung micrometastasis. The results demonstrate that these exosomes accumulate specifically in metastatic lesions and primary tumors in vivo, showing excellent targeting ability. Optical imaging using exosomes is also able to detect lung metastasis. These findings suggest that tumor-derived exosomes have great potential as targeted imaging agents for the noninvasive detection of small lung metastasis using PET.
Article
Biology
Sanjana Rajan, Emily M. M. Franz, Camille A. A. McAloney, Tatyana A. A. Vetter, Maren Cam, Amy C. C. Gross, Cenny Taslim, Meng Wang, Matthew V. V. Cannon, Alexander Oles, Ryan D. D. Roberts
Summary: Tumors are complex tissues that contain diverse malignant and nonmalignant cells. The mechanisms governing tumor cell heterogeneity and its role in adapting to different microenvironments are poorly understood. Osteosarcoma is an ideal model for studying these mechanisms due to its widespread heterogeneity, predictable metastasis patterns, and lack of clear driver mutations. Understanding how tumor cells adapt to primary and metastatic microenvironments can inform the development of targeted therapies.
Article
Oncology
Bingqi Wang, Yufu Sun
Summary: This study found that SELPLG is closely correlated with metastases and prognosis of osteosarcoma (OS) patients. Low SELPLG expression is associated with a poorer prognosis. The results suggest that SELPLG may serve as a potential prognostic biomarker for OS.
PATHOLOGY & ONCOLOGY RESEARCH
(2022)
Article
Medicine, General & Internal
Milosz Pietrus, Kazimierz Pitynski, Marcin Waligora, Katarzyna Milian-Ciesielska, Monika Bialon, Artur Ludwin, Klaudia Skrzypek
Summary: CD133 expression in different subcellular compartments of endometrial cancer tissue is associated with clinical characteristics of the tumor, and positive nuclear CD133 expression may be related to an unfavorable prognosis.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Biochemistry & Molecular Biology
Aaron M. Taylor, Jiayi M. Sun, Alexander Yu, Horatiu Voicu, Jianhe Shen, Donald A. Barkauskas, Timothy J. Triche, Julie M. Gastier-Foster, Tsz-Kwong Man, Ching C. Lau
Summary: This study revealed the heterogeneity of osteosarcoma in younger populations and identified several genes, such as IGF1R and FGFR2, that are associated with the pathogenesis of the disease. These genes were found to have a significant impact on the prognosis of patients.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Oncology
Chiang-Wen Lee, Yao-Chang Chiang, Pei-An Yu, Kuo-Ti Peng, Miao-Ching Chi, Ming-Hsueh Lee, Mei-Ling Fang, Kuan-Han Lee, Lee-Fen Hsu, Ju-Fang Liu
Summary: CXCL1 and CXCR2 play crucial roles in lung metastasis of osteosarcoma by promoting neutrophil infiltration into the tumor microenvironment, affecting cell migration and invasion activities. Additionally, CXCL1 activates the CXCR2/FAK/PI3K/Akt signaling pathway to promote the expression and nuclear translocation of VCAM-1, thus playing a critical role in osteosarcoma metastasis to the lung.
FRONTIERS IN ONCOLOGY
(2021)