Background: Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment. Methods: Firstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO). Meanwhile, the protein-protein interaction network was constructed by STRING; By online analysis of DEGs, prognostic genes, and CCDB data that are associated with cervical cancer formation through the OncoLnc database, we aim to search for the key DEGs associated with CC, Finally, the key gene(s) was further validated by immunohistochemistry. Result: 298 differentially expressed genes, 712 genes associated with prognosis, and 509 genes related to cervical cancer formation were found. The results of gene function analysis showed that DEGs were mainly significant in functional pathways such as variable shear and energy metabolism. By further verification, two genes, ASPH and NKAPP1 were identified through validation as genes that affect both sensitivities to radiotherapy and survival finally. Then, immunohistochemical results showed that the ASPH gene was highly expressed in the radiotherapy-resistant group and had lower Overall survival (OS) and Progression-free survival (PFS). Conclusion: This study aims to better understand the characteristics of cervical cancer radiation therapy resistance-related genes through bioinformatics and provide further research ideas for finding new mechanisms and potential therapeutic targets related to cervical cancer radiation therapy.
Background: Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment. Methods: Firstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO). Meanwhile, the protein-protein interaction network was constructed by STRING; By online analysis of DEGs, prognostic genes, and CCDB data that are associated with cervical cancer formation through the OncoLnc database, we aim to search for the key DEGs associated with CC, Finally, the key gene(s) was further validated by immunohistochemistry. Result: 298 differentially expressed genes, 712 genes associated with prognosis, and 509 genes related to cervical cancer formation were found. The results of gene function analysis showed that DEGs were mainly significant in functional pathways such as variable shear and energy metabolism. By further verification, two genes, ASPH and NKAPP1 were identified through validation as genes that affect both sensitivities to radiotherapy and survival finally. Then, immunohistochemical results showed that the ASPH gene was highly expressed in the radiotherapy-resistant group and had lower Overall survival (OS) and Progression-free survival (PFS). Conclusion: This study aims to better understand the characteristics of cervical cancer radiation therapy resistance-related genes through bioinformatics and provide further research ideas for finding new mechanisms and potential therapeutic targets related to cervical cancer radiation therapy.
Authors: Mathias Uhlen; Cheng Zhang; Sunjae Lee; Evelina Sjöstedt; Linn Fagerberg; Gholamreza Bidkhori; Rui Benfeitas; Muhammad Arif; Zhengtao Liu; Fredrik Edfors; Kemal Sanli; Kalle von Feilitzen; Per Oksvold; Emma Lundberg; Sophia Hober; Peter Nilsson; Johanna Mattsson; Jochen M Schwenk; Hans Brunnström; Bengt Glimelius; Tobias Sjöblom; Per-Henrik Edqvist; Dijana Djureinovic; Patrick Micke; Cecilia Lindskog; Adil Mardinoglu; Fredrik Ponten Journal: Science Date: 2017-08-18 Impact factor: 47.728
Authors: Alessandro D Santin; Michael W Sill; D Scott McMeekin; Mario M Leitao; Jubilee Brown; Gregory P Sutton; Linda Van Le; Patricia Griffin; Cecelia H Boardman Journal: Gynecol Oncol Date: 2011-09 Impact factor: 5.482
Authors: Joanne B Weidhaas; Shu-Xia Li; Kathryn Winter; Janice Ryu; Anuja Jhingran; Bridgette Miller; Adam P Dicker; David Gaffney Journal: Clin Cancer Res Date: 2009-06-09 Impact factor: 12.531
Authors: Solaiappan Manimaran; Heather Marie Selby; Kwame Okrah; Claire Ruberman; Jeffrey T Leek; John Quackenbush; Benjamin Haibe-Kains; Hector Corrada Bravo; W Evan Johnson Journal: Bioinformatics Date: 2016-08-18 Impact factor: 6.937
Authors: Leng Han; Yuan Yuan; Siyuan Zheng; Yang Yang; Jun Li; Mary E Edgerton; Lixia Diao; Yanxun Xu; Roeland G W Verhaak; Han Liang Journal: Nat Commun Date: 2014-07-07 Impact factor: 14.919