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RNA sequencing was used to identify differentially expressed circular RNAs between SCLC tumors and normal lung tissue, followed by in silico construction of circRNA–miRNA–mRNA regulatory networks using CircInteractome and miRTarBase. qRT-PCR validated circRNA levels and select predicted miRNA partners, while diagnostic performance was evaluated. Twenty-three DECs were identified, including significant circLIFR downregulation and circCAMSAP1 overexpression, with therapy response correlations and AUC values of 0.9177 and 0.764.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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is the main goal of this study on small cell lung cancer?","Question",{"text":62,"@type":63},"To determine how circular RNA expression differs between small cell lung cancer tissue and normal lung tissue and assess their diagnostic potential.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"How were differentially expressed circRNAs identified and analyzed?",{"text":67,"@type":63},"RNA sequencing was used to find differentially expressed circRNAs, and predicted circRNA–miRNA–mRNA regulatory networks were constructed using CircInteractome and miRTarBase.",{"name":69,"@type":60,"acceptedAnswer":70},"Which circRNAs showed notable validation results in SCLC?",{"text":71,"@type":63},"The study reported significant downregulation of circLIFR and overexpression of circCAMSAP1, along with diagnostic AUC values and associations with therapy 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expression of circular RNAs inhuman small cell lung cancer  \nVijaylaxmi Saxena1, DasariAbhilash2, Anshul Budhraja2,4, Sudip Dey1, PawanTiwari3, Anant Mohan3, Ishaan Gupta2􀀍 & Sachin Kumar1􀀍  \nSmall cell lung cancer (SCLC) is a highly aggressive malignancy with a poor prognosis. SCLC tumors are classified into four molecular subtypes each exhibiting distinct biological traits and therapeutic vulnerabilities. However, limited information is available on the expression profile of circular RNAs (circRNAs) in SCLC. To address this gap, we performed RNA sequencing to identify differentially expressed circRNAs (DECs) in SCLC compared with normal lung tissue. Using CircInteractome and miRTarBase, we predicted miRNA partners and their downstream mRNA targets, thereby constructing circRNA–miRNA–mRNA regulatory networks. The expression ofcircRNAs and a few predicted interacting miRNAs in SCLC and normal lung tissue was validated using qRT-PCR, and their diagnostic performance was assessed. Among the identified 23 DECs, 10 were significantly downregulated and 13 were upregulated in SCLC. In total, 241 miRNAs were predicted to interact with these 23 DECs, potentially regulating 7,804 mRNA targets. Further validation revealed significant downregulation of circLIFR expression and overexpression of circCAMSAP1 in SCLC. The circLIFR-associated network comprised 26 miRNAs and 2,447 mRNA targets, with miR-1234-3p and miR-375-3p significantly upregulated in SCLC. The circCAMSAP1-associated network included 14 miRNAs and 553 mRNA targets, with miR-145-5p significantly downregulated in SCLC. Interestingly, the expression ofcircCAMSAP1 significantly correlated with the response to therapy. As diagnostic biomarkers, circLIFRand circCAMSAP1 exhibited theAUC of 0.9177 and 0.764, respectively. In conclusion, certain DECs may regulate key hallmarks ofSCLC through miRNA sponging. These findings highlight circLIFRand circCAMSAP1 as promising biomarkers, though functional validation is required to confirm their mechanistic roles.  \nKeywords Small cell lung cancer, Circular RNA, MicroRNA, Competing endogenous RNA, circLIFR, circCAMSAP1, Biomarker  \nLung cancer ranks among the most common cancers and is the leading cause of cancer-related deaths, responsible for nearly 18% of all such fatalities worldwide1. Histologically, lung cancer is divided into non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), with SCLC representing only 15–20% of all lung cancers. SCLC tumors are highly aggressive and grow rapidly, leading to a poor prognosis for patients due to early metastatic spread and chemoresistance2–5. SCLC is classified into limited stage or extensive stage based on the presence or absence of distant metastasis5. Current evidence suggests that SCLC can originate from various cell types within the lungs, but pulmonary neuroendocrine cells are considered the primary initiators of SCLC6. Smoking is strongly linked to the pathogenesis ofSCLC2–5. SCLC is primarily driven by loss-of-function mutations in tumor suppressor genes, particularly tumor protein p53 (TP53) and retinoblastoma 1, which are inactivated in approximately 70–90% of SCLC tumors7–10. Other commonly mutated genes in SCLC include members of the neurogenic locus notch homolog protein and myelocytomatosis oncogene (MYC) families, phosphatase and tensin homolog (PTEN), canonical wingless-related integration site pathway members, SRY-  \n1Department of Medical Oncology, Dr. B. R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India. 2Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi 110016, India. 3Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India. 4Present address","cbCaibdVZcSSvLyl","https://ap.wps.com/l/cbCaibdVZcSSvLyl","pdf",3325736,17,"English","# Introduction\n## Disease context and molecular subtypes\n## Rationale for circRNA investigation\n# Methods and analysis\n## RNA sequencing and identification of DECs\n## Network construction and predictions\n## Validation and diagnostic evaluation\n# Results\n## Overview of differentially expressed circRNAs\n## circLIFR and circCAMSAP1 findings","[{\"question\":\"What is the main goal of this study on small cell lung cancer?\",\"answer\":\"To determine how circular RNA expression differs between small cell lung cancer tissue and normal lung tissue and assess their diagnostic potential.\"},{\"question\":\"How were differentially expressed circRNAs identified and analyzed?\",\"answer\":\"RNA sequencing was used to find differentially expressed circRNAs, and predicted circRNA–miRNA–mRNA regulatory networks were constructed using CircInteractome and miRTarBase.\"},{\"question\":\"Which circRNAs showed notable validation results in SCLC?\",\"answer\":\"The study reported significant downregulation of circLIFR and overexpression of circCAMSAP1, along with diagnostic AUC values and associations with therapy response.\"}]","RNA sequencing reveals differential expression of circular RNAs in human small cell lung cancer | PDF",1790092554,43]