A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma
Abstract Background Although non-invasive radiological techniques are widely applied in kidney renal clear cell carcinoma (KIRC) diagnosis, more than 50% of KIRCs are detected incidentally during the diagnostic procedures to identify renal cell carcinoma (RCC). Thus, sensitive and accurate KIRC diag...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-01-01
|
| Series: | Cancer Cell International |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12935-023-03187-z |
| _version_ | 1797355496234024960 |
|---|---|
| author | Zhenyu Wen Yingqi Li Zhengping Zhao Rongkang Li Xinji Li Chong Lu Chen Sun Wenkang Chen Zhenjian Ge Liangchao Ni Yongqing Lai |
| author_facet | Zhenyu Wen Yingqi Li Zhengping Zhao Rongkang Li Xinji Li Chong Lu Chen Sun Wenkang Chen Zhenjian Ge Liangchao Ni Yongqing Lai |
| author_sort | Zhenyu Wen |
| collection | DOAJ |
| description | Abstract Background Although non-invasive radiological techniques are widely applied in kidney renal clear cell carcinoma (KIRC) diagnosis, more than 50% of KIRCs are detected incidentally during the diagnostic procedures to identify renal cell carcinoma (RCC). Thus, sensitive and accurate KIRC diagnostic methods are required. Therefore, in this study, we aimed to identify KIRC-associated microRNAs (miRNAs). Methods This three-phase study included 224 participants (112 each of patients with KIRC and healthy controls (NCs)). RT-qPCR was used to evaluate miRNA expression in KIRC and NC samples. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to predict the usefulness of serum miRNAs in KIRC diagnosis. In addition, we performed survival and bioinformatics analyses. Results We found that miR-1-3p, miR-129-5p, miR-146b-5p, miR-187-3p, and miR-200a-3p were significantly differentially expressed in patients with KIRC. A panel consisting of three miRNAs (miR-1-3p, miR-129-5p, and miR-146b-5p) had an AUC of 0.895, ranging from 0.848 to 0.942. In addition, using the GEPIA database, we found that the miRNAs were associated with CREB5. According to the survival analysis, miR-146b-5p overexpression was indicative of a poorer prognosis in patients with KIRC. Conclusions The identified three-miRNA panel could serve as a non-invasive indicator for KIRC and CREB5 as a potential target gene for KIRC treatment. |
| first_indexed | 2024-03-08T14:11:59Z |
| format | Article |
| id | doaj.art-4133e122a20b463cb2279d64da0a3bb4 |
| institution | Directory Open Access Journal |
| issn | 1475-2867 |
| language | English |
| last_indexed | 2024-03-08T14:11:59Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Cell International |
| spelling | doaj.art-4133e122a20b463cb2279d64da0a3bb42024-01-14T12:37:16ZengBMCCancer Cell International1475-28672024-01-0124111010.1186/s12935-023-03187-zA serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinomaZhenyu Wen0Yingqi Li1Zhengping Zhao2Rongkang Li3Xinji Li4Chong Lu5Chen Sun6Wenkang Chen7Zhenjian Ge8Liangchao Ni9Yongqing Lai10Guangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalGuangdong and Shenzhen Key Laboratory of Reproductive Medicine and Genetics, Department of Urology, Peking University Shenzhen HospitalAbstract Background Although non-invasive radiological techniques are widely applied in kidney renal clear cell carcinoma (KIRC) diagnosis, more than 50% of KIRCs are detected incidentally during the diagnostic procedures to identify renal cell carcinoma (RCC). Thus, sensitive and accurate KIRC diagnostic methods are required. Therefore, in this study, we aimed to identify KIRC-associated microRNAs (miRNAs). Methods This three-phase study included 224 participants (112 each of patients with KIRC and healthy controls (NCs)). RT-qPCR was used to evaluate miRNA expression in KIRC and NC samples. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to predict the usefulness of serum miRNAs in KIRC diagnosis. In addition, we performed survival and bioinformatics analyses. Results We found that miR-1-3p, miR-129-5p, miR-146b-5p, miR-187-3p, and miR-200a-3p were significantly differentially expressed in patients with KIRC. A panel consisting of three miRNAs (miR-1-3p, miR-129-5p, and miR-146b-5p) had an AUC of 0.895, ranging from 0.848 to 0.942. In addition, using the GEPIA database, we found that the miRNAs were associated with CREB5. According to the survival analysis, miR-146b-5p overexpression was indicative of a poorer prognosis in patients with KIRC. Conclusions The identified three-miRNA panel could serve as a non-invasive indicator for KIRC and CREB5 as a potential target gene for KIRC treatment.https://doi.org/10.1186/s12935-023-03187-zMicroRNAKidney renal clear cell carcinomaDiagnosisBiomarkerBioinformatics |
| spellingShingle | Zhenyu Wen Yingqi Li Zhengping Zhao Rongkang Li Xinji Li Chong Lu Chen Sun Wenkang Chen Zhenjian Ge Liangchao Ni Yongqing Lai A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma Cancer Cell International MicroRNA Kidney renal clear cell carcinoma Diagnosis Biomarker Bioinformatics |
| title | A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma |
| title_full | A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma |
| title_fullStr | A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma |
| title_full_unstemmed | A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma |
| title_short | A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma |
| title_sort | serum panel of three micrornas may serve as possible biomarkers for kidney renal clear cell carcinoma |
| topic | MicroRNA Kidney renal clear cell carcinoma Diagnosis Biomarker Bioinformatics |
| url | https://doi.org/10.1186/s12935-023-03187-z |
| work_keys_str_mv | AT zhenyuwen aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT yingqili aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT zhengpingzhao aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT rongkangli aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT xinjili aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT chonglu aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT chensun aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT wenkangchen aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT zhenjiange aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT liangchaoni aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT yongqinglai aserumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT zhenyuwen serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT yingqili serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT zhengpingzhao serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT rongkangli serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT xinjili serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT chonglu serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT chensun serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT wenkangchen serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT zhenjiange serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT liangchaoni serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma AT yongqinglai serumpanelofthreemicrornasmayserveaspossiblebiomarkersforkidneyrenalclearcellcarcinoma |