Single Nuclear RNA Sequencing Highlights Intra-Tumoral Heterogeneity and Tumor Microenvironment Complexity in Testicular Embryonic Rhabdomyosarcoma

Xu, Xinhua; Z, Liu; Y, Li; Liu, Fan; Wang, S; Guo, J.; Luo, Yunbo; Hou, Bo

doi:10.2147/jir.s343068

Cited by 4 publications

(2 citation statements)

References 35 publications

(35 reference statements)

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“…Tumor progression, metastasis, and survival outcomes have all been linked to the TME (10,11). Including endothelial, immunological, and mesenchymal cells, the extracellular matrix makes up the tumor microenvironment (12).…”

Section: Introductionmentioning

confidence: 99%

Critical miRNAs as a Biomarker in Development and Progression of Rhabdomyosarcoma

TarvijEslami

Nasirian

Moradi

et al. 2023

Preprint

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Rhabdomyosarcoma (RMS) is the most prevalent pediatric soft tissue malignancy. The early metastasis and recurrence of RMS, as well as the pain and bleeding induced by tumor compression, significantly compromise therapy efficacy and prognosis. In some cases, up to 37.7 percent of RMS spread to other parts of the body. Therefore, it is important to investigate the molecular pathways behind RMS in order to find a reliable target for the early detection and targeted treatment of this cancer. A microarray dataset of 63 RMS tissue samples and 63 control group samples was obtained and analyzed. GEO2R was able to detect genes that were differentially expressed miRNAs between rhabdomyosarcoma and normal tissue. Analysis of gene ontology ( molecular functions and biological processes) and the Kyoto Encyclopedia of Genes and Genomes pathways was conducted. Hub target genes of miRNAs were found through building an interaction network. Then we intersection between miRNAs RMS profile and miRnone of RMS. In RMS tumor tissues, 75 miRNAs were found to be up-regulated and 86 miRNAs were found to be down-regulated. According to the results of the gene ontology analysis, the functions of the cell cycle, retinal pigmented epithelium development, oxidative stress, cellular aging, and PI3K/AKT were the most significantly enriched. With 75 nodes and 1740 edges, hsa-miR-758-3p, hsa-miR-1908-3p, hsa-miR-127-5p and hsa-miR-6762-3p upregulated miRNAs and hsa-miR-1229-5p, hsa-miR-6831-5p, hsa-miR-4660, hsa-miR-3908, hsa-miR-1182, hsa-miR-6796-5p, hsa-miR-1180-3p, hsa-miR-519e-3p and hsa-miR-370-5p downregulated miRNAs were observed with miRnome of RMS. hsa-miR-410-3p were possibility role to invasion RMS tumor to retina. Our results show that RMS and normal tissue samples had varied miRNAs expression levels. As hsa-miR-410-3p and hsa-miR-127-5p have been hypothesized to play a role in the etiology of RMS, they should be studied in greater depth.

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Section: Introductionmentioning

confidence: 99%

Critical miRNAs as a Biomarker in Development and Progression of Rhabdomyosarcoma

TarvijEslami

Nasirian

Moradi

et al. 2023

Preprint

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“…Traditional treatments such as surgical resection, radiotherapy and chemotherapy are still challenging to reduce the mortality of osteosarcoma 4 – 6 . This is because osteosarcoma is challenging to diagnose early and has a highly heterogeneous and complex cancer, making it difficult to cure 7 , 8 . Therefore, how to make an early diagnosis and treatment of osteosarcoma is still an urgent problem and challenge for researchers.…”

Section: Introductionmentioning

confidence: 99%

Construction and validation model of necroptosis-related gene signature associates with immunity for osteosarcoma patients

Liu

Lei

2022

Sci Rep

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Osteosarcoma is the most common malignant tumor in children and adolescents and its diagnosis and treatment still need to be improved. Necroptosis has been associated with many malignancies, but its significance in diagnosing and treating osteosarcoma remains unclear. The objective is to establish a predictive model of necroptosis-related genes (NRGs) in osteosarcoma for evaluating the tumor microenvironment and new targets for immunotherapy. In this study, we download the osteosarcoma data from the TARGET and GEO websites and the average muscle tissue data from GTEx. NRGs were screened by Cox regression analysis. We constructed a prediction model through nonnegative matrix factorization (NMF) clustering and the least absolute shrinkage and selection operator (LASSO) algorithm and verified it with a validation cohort. Kaplan–Meier survival time, ROC curve, tumor invasion microenvironment and CIBERSORT were assessed. In addition, we establish nomograms for clinical indicators and verify them by calibration evaluation. The underlying mechanism was explored through the functional enrichment analysis. Eight NRGs were screened for predictive model modeling. NRGs prediction model through NMF clustering and LASSO algorithm was established. The survival, ROC and tumor microenvironment scores showed significant statistical differences among subgroups (P < 0.05). The validation model further verifies it. By nomogram and calibration, we found that metastasis and risk score were independent risk factors for the poor prognosis of osteosarcoma. GO and KEGG analyses demonstrate that the genes of osteosarcoma cluster in inflammatory, apoptotic and necroptosis signaling pathways. The significant role of the correlation between necroptosis and immunity in promoting osteosarcoma may provide a novel insight into detecting molecular mechanisms and targeted therapy.

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Targeted immunotherapy and nanomedicine for rhabdomyosarcoma: The way of the future

Morel,

Rössler,

Bernasconi

2024

Medicinal Research Reviews

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Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma of childhood. Histology separates two main subtypes: embryonal RMS (eRMS; 60%–70%) and alveolar RMS (aRMS; 20%–30%). The aggressive aRMS carry one of two characteristic chromosomal translocations that result in the expression of a PAX3::FOXO1 or PAX7::FOXO1 fusion transcription factor; therefore, aRMS are now classified as fusion‐positive (FP) RMS. Embryonal RMS have a better prognosis and are clinically indistinguishable from fusion‐negative (FN) RMS. Next to histology and molecular characteristics, RMS risk groupings are now available defining low risk tumors with excellent outcomes and advanced stage disease with poor prognosis, with an overall survival of about only 20% despite intensified multimodal treatment. Therefore, development of novel effective targeted strategies to increase survival and to decrease long‐term side effects is urgently needed. Recently, immunotherapies and nanomedicine have been emerging for potent and effective tumor treatments with minimal side effects, raising hopes for effective and safe cures for RMS patients. This review aims to describe the most relevant preclinical and clinical studies in immunotherapy and targeted nanomedicine performed so far in RMS and to provide an insight in future developments.

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Single Nuclear RNA Sequencing Highlights Intra-Tumoral Heterogeneity and Tumor Microenvironment Complexity in Testicular Embryonic Rhabdomyosarcoma

Cited by 4 publications

References 35 publications

Critical miRNAs as a Biomarker in Development and Progression of Rhabdomyosarcoma

Critical miRNAs as a Biomarker in Development and Progression of Rhabdomyosarcoma

Construction and validation model of necroptosis-related gene signature associates with immunity for osteosarcoma patients

Targeted immunotherapy and nanomedicine for rhabdomyosarcoma: The way of the future

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