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Diagnostic Accuracy of a 64-Slice Multi-Detector CT Scan in the Preoperative Evaluation of Periampullary Neoplasms.

Journal of clinical medicine

Hashemzadeh S, Mehrafsa B, Kakaei F, Javadrashid R, Golshan R, Seifar F, Hajibonabi F, Salmannezhad Khorami F.
PMID: 29702569
J Clin Med. 2018 Apr 27;7(5). doi: 10.3390/jcm7050091.

Periampullary tumors are highly malignant masses with poor prognosis. Surgical resection is the only treatment for patients with this disease. The preoperative evaluation of masses is essential to determine the tumor resectability and vascular invasion. The aim of this...

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Hashemzadeh S, Mehrafsa B, Kakaei F, et al. Diagnostic Accuracy of a 64-Slice Multi-Detector CT Scan in the Preoperative Evaluation of Periampullary Neoplasms. J Clin Med. 2018;7(5)doi: 10.3390/jcm7050091.
Hashemzadeh, S., Mehrafsa, B., Kakaei, F., Javadrashid, R., Golshan, R., Seifar, F., Hajibonabi, F., & Salmannezhad Khorami, F. (2018). Diagnostic Accuracy of a 64-Slice Multi-Detector CT Scan in the Preoperative Evaluation of Periampullary Neoplasms. Journal of clinical medicine, 7(5), . https://doi.org/10.3390/jcm7050091
Hashemzadeh, Shahryar, et al. "Diagnostic Accuracy of a 64-Slice Multi-Detector CT Scan in the Preoperative Evaluation of Periampullary Neoplasms." Journal of clinical medicine vol. 7,5 (2018). doi: https://doi.org/10.3390/jcm7050091
Hashemzadeh S, Mehrafsa B, Kakaei F, Javadrashid R, Golshan R, Seifar F, Hajibonabi F, Salmannezhad Khorami F. Diagnostic Accuracy of a 64-Slice Multi-Detector CT Scan in the Preoperative Evaluation of Periampullary Neoplasms. J Clin Med. 2018 Apr 27;7(5). doi: 10.3390/jcm7050091. PMID: 29702569; PMCID: PMC5977130.
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Envisioning the immune system to determine its role in pancreatic ductal adenocarcinoma: Culprit or victim?.

Immunology letters

Javadrashid D, Baghbanzadeh A, Hemmat N, Hajiasgharzadeh K, Nourbakhsh NS, Lotfi Z, Baradaran B.
PMID: 33647329
Immunol Lett. 2021 Apr;232:48-59. doi: 10.1016/j.imlet.2021.02.009. Epub 2021 Feb 26.

Pancreatic ductal adenocarcinoma has a poor 5-year survival rate that makes it one of the most fatal human malignancies. Unfortunately, despite the serious improvement in the survival of most cancers, there has been a minor advance in pancreatic cancer...

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Javadrashid D, Baghbanzadeh A, Hemmat N, et al. Envisioning the immune system to determine its role in pancreatic ductal adenocarcinoma: Culprit or victim?. Immunol Lett. 2021;232:48-59doi: 10.1016/j.imlet.2021.02.009.
Javadrashid, D., Baghbanzadeh, A., Hemmat, N., Hajiasgharzadeh, K., Nourbakhsh, N. S., Lotfi, Z., & Baradaran, B. (2021). Envisioning the immune system to determine its role in pancreatic ductal adenocarcinoma: Culprit or victim?. Immunology letters, 23248-59. https://doi.org/10.1016/j.imlet.2021.02.009
Javadrashid, Darya, et al. "Envisioning the immune system to determine its role in pancreatic ductal adenocarcinoma: Culprit or victim?." Immunology letters vol. 232 (2021): 48-59. doi: https://doi.org/10.1016/j.imlet.2021.02.009
Javadrashid D, Baghbanzadeh A, Hemmat N, Hajiasgharzadeh K, Nourbakhsh NS, Lotfi Z, Baradaran B. Envisioning the immune system to determine its role in pancreatic ductal adenocarcinoma: Culprit or victim?. Immunol Lett. 2021 Apr;232:48-59. doi: 10.1016/j.imlet.2021.02.009. Epub 2021 Feb 26. PMID: 33647329.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16. PMID: 34922114.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16. PMID: 34922114.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 15;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 15.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 15;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 15. PMID: 34922114.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16. PMID: 34922114.
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Pancreatic Cancer Signaling Pathways, Genetic Alterations, and Tumor Microenvironment: The Barriers Affecting the Method of Treatment.

Biomedicines

Javadrashid D, Baghbanzadeh A, Derakhshani A, Leone P, Silvestris N, Racanelli V, Solimando AG, Baradaran B.
PMID: 33918146
Biomedicines. 2021 Apr 02;9(4). doi: 10.3390/biomedicines9040373.

Genetic alterations, especially the K-Ras mutation, carry the heaviest burden in the progression of pancreatic precursor lesions into pancreatic ductal adenocarcinoma (PDAC). The tumor microenvironment is one of the challenges that hinder the therapeutic approaches from functioning sufficiently and...

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Javadrashid D, Baghbanzadeh A, Derakhshani A, et al. Pancreatic Cancer Signaling Pathways, Genetic Alterations, and Tumor Microenvironment: The Barriers Affecting the Method of Treatment. Biomedicines. 2021;9(4)doi: 10.3390/biomedicines9040373.
Javadrashid, D., Baghbanzadeh, A., Derakhshani, A., Leone, P., Silvestris, N., Racanelli, V., Solimando, A. G., & Baradaran, B. (2021). Pancreatic Cancer Signaling Pathways, Genetic Alterations, and Tumor Microenvironment: The Barriers Affecting the Method of Treatment. Biomedicines, 9(4), . https://doi.org/10.3390/biomedicines9040373
Javadrashid, Darya, et al. "Pancreatic Cancer Signaling Pathways, Genetic Alterations, and Tumor Microenvironment: The Barriers Affecting the Method of Treatment." Biomedicines vol. 9,4 (2021). doi: https://doi.org/10.3390/biomedicines9040373
Javadrashid D, Baghbanzadeh A, Derakhshani A, Leone P, Silvestris N, Racanelli V, Solimando AG, Baradaran B. Pancreatic Cancer Signaling Pathways, Genetic Alterations, and Tumor Microenvironment: The Barriers Affecting the Method of Treatment. Biomedicines. 2021 Apr 02;9(4). doi: 10.3390/biomedicines9040373. PMID: 33918146; PMCID: PMC8067185.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16. PMID: 34922114.
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Cytotoxic T-Lymphocyte Antigen-4 in Colorectal Cancer: Another Therapeutic Side of Capecitabine.

Cancers

Derakhshani A, Hashemzadeh S, Asadzadeh Z, Shadbad MA, Rasibonab F, Safarpour H, Jafarlou V, Solimando AG, Racanelli V, Singh PK, Najafi S, Javadrashid D, Brunetti O, Silvestris N, Baradaran B.
PMID: 34067631
Cancers (Basel). 2021 May 17;13(10). doi: 10.3390/cancers13102414.

Cytotoxic T lymphocyte antigen-4 (CTLA-4) is an inhibitory immune checkpoint that can be expressed in tumor-infiltrating lymphocytes and colorectal cancer (CRC) cells. This immune checkpoint can attenuate anti-tumoral immune responses and facilitate tumor growth and metastasis. Although capecitabine is...

Cite
Derakhshani A, Hashemzadeh S, Asadzadeh Z, et al. Cytotoxic T-Lymphocyte Antigen-4 in Colorectal Cancer: Another Therapeutic Side of Capecitabine. Cancers (Basel). 2021;13(10)doi: 10.3390/cancers13102414.
Derakhshani, A., Hashemzadeh, S., Asadzadeh, Z., Shadbad, M. A., Rasibonab, F., Safarpour, H., Jafarlou, V., Solimando, A. G., Racanelli, V., Singh, P. K., Najafi, S., Javadrashid, D., Brunetti, O., Silvestris, N., & Baradaran, B. (2021). Cytotoxic T-Lymphocyte Antigen-4 in Colorectal Cancer: Another Therapeutic Side of Capecitabine. Cancers, 13(10), . https://doi.org/10.3390/cancers13102414
Derakhshani, Afshin, et al. "Cytotoxic T-Lymphocyte Antigen-4 in Colorectal Cancer: Another Therapeutic Side of Capecitabine." Cancers vol. 13,10 (2021). doi: https://doi.org/10.3390/cancers13102414
Derakhshani A, Hashemzadeh S, Asadzadeh Z, Shadbad MA, Rasibonab F, Safarpour H, Jafarlou V, Solimando AG, Racanelli V, Singh PK, Najafi S, Javadrashid D, Brunetti O, Silvestris N, Baradaran B. Cytotoxic T-Lymphocyte Antigen-4 in Colorectal Cancer: Another Therapeutic Side of Capecitabine. Cancers (Basel). 2021 May 17;13(10). doi: 10.3390/cancers13102414. PMID: 34067631; PMCID: PMC8155910.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16. PMID: 34922114.
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Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie

Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N.
PMID: 34922114
Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16.

BACKGROUND: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis.METHODS: In this study, we used systems biology approaches to describe the key gene modules, hub...

Cite
Nomiri S, Karami H, Baradaran B, et al. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021;146:112537doi: 10.1016/j.biopha.2021.112537.
Nomiri, S., Karami, H., Baradaran, B., Javadrashid, D., Derakhshani, A., Nourbakhsh, N. S., Shadbad, M. A., Solimando, A. G., Tabrizi, N. J., Brunetti, O., Nasseri, S., Racanelli, V., Safarpour, H., & Silvestris, N. (2021). Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 146112537. https://doi.org/10.1016/j.biopha.2021.112537
Nomiri, Samira, et al. "Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis." Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie vol. 146 (2021): 112537. doi: https://doi.org/10.1016/j.biopha.2021.112537
Nomiri S, Karami H, Baradaran B, Javadrashid D, Derakhshani A, Nourbakhsh NS, Shadbad MA, Solimando AG, Tabrizi NJ, Brunetti O, Nasseri S, Racanelli V, Safarpour H, Silvestris N. Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis. Biomed Pharmacother. 2021 Dec 16;146:112537. doi: 10.1016/j.biopha.2021.112537. Epub 2021 Dec 16. PMID: 34922114.
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Detection of foreign bodies by spiral computed tomography and cone beam computed tomography in maxillofacial regions.

Journal of dental research, dental clinics, dental prospects

Kaviani F, Javad Rashid R, Shahmoradi Z, Gholamian M.
PMID: 25346836
J Dent Res Dent Clin Dent Prospects. 2014;8(3):166-71. doi: 10.5681/joddd.2014.030. Epub 2014 Sep 17.

Background and aims. The imaging techniques commonly used for foreign body detection include plain radiography, xeroradiography, computed tomography (CT) scans, magnetic resonance imaging (MRI) and ultrasonography. The aim of the present study was to compare cone-beam computed tomography (CBCT)...

Cite
Kaviani F, Javad Rashid R, Shahmoradi Z, et al. Detection of foreign bodies by spiral computed tomography and cone beam computed tomography in maxillofacial regions. J Dent Res Dent Clin Dent Prospects. 2014;8(3):166-71doi: 10.5681/joddd.2014.030.
Kaviani, F., Javad Rashid, R., Shahmoradi, Z., & Gholamian, M. (2014). Detection of foreign bodies by spiral computed tomography and cone beam computed tomography in maxillofacial regions. Journal of dental research, dental clinics, dental prospects, 8(3), 166-71. https://doi.org/10.5681/joddd.2014.030
Kaviani, Farzaneh, et al. "Detection of foreign bodies by spiral computed tomography and cone beam computed tomography in maxillofacial regions." Journal of dental research, dental clinics, dental prospects vol. 8,3 (2014): 166-71. doi: https://doi.org/10.5681/joddd.2014.030
Kaviani F, Javad Rashid R, Shahmoradi Z, Gholamian M. Detection of foreign bodies by spiral computed tomography and cone beam computed tomography in maxillofacial regions. J Dent Res Dent Clin Dent Prospects. 2014;8(3):166-71. doi: 10.5681/joddd.2014.030. Epub 2014 Sep 17. PMID: 25346836; PMCID: PMC4206759.
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Showing 1 to 12 of 32 entries