A three miRNAs panel in paraffin tissue serves as tool for predicting prognosis of renal cell carcinoma.

Background: Renal cell carcinoma (RCC) stands as the most prevalent form of urogenital cancer. However, there is currently no universally accepted method for predicting the prognosis of RCC. MiRNA holds great potential as a prognostic biomarker for RCC. Methods: A total of 100 cases with complete paraffin specimens and over 5-year follow-up data meeting the requirements were collected. Utilizing the clinical information and follow-up data of the specimens, an information model was developed. The expression levels of eight microRNAs were identified using RT-qPCR. Finally, determine and analyze the clinical application value of these microRNAs as prognostic markers for RCC. Results: Significant differences were observed in the expression of two types of miRNAs (miR-378a-5p, miR-23a-5p) in RCC tissue, and three types of miRNAs (miR-378a-5p, miR-642a-5p, miR-23a-5p) were found to be linked to the prognosis of RCC. Establish biomarker combinations of miR-378a-5p, miR-642a-5p, and miR-23a-5p to evaluate RCC prognosis. Conclusion: The combination of three microRNA groups (miR-378a-5p, miR-642a-5p, and miR-23a-5p) identified in paraffin section specimens of RCC in this study holds significant potential as biomarkers for assessing RCC prognosis.

[Corrigendum] MicroRNA­222­3p promotes tumor cell migration and invasion and inhibits apoptosis, and is correlated with an unfavorable prognosis of patients with renal cell carcinoma.

Following the publication of the above article, an interested reader drew to the attention of the Editorial Office that, in Fig. 3A on p. 530, two pairs of data panels were overlapping, such that certain of the panels appeared to have been derived from the same original sources where the results from differently performed experiments were intended to have been portrayed. The authors have examined their original data, and realize that errors associated with data handling/labelling during the preparation of the representative images in Fig. 3A had occurred. The revised version of Fig. 3, showing the correct data for the 'NC/ACHN/Invasion and Migration' data panels, the 'Inhibitor NC/786­O' panel and the 'Inhibitor NC/ACHN/Invasion' panel, is shown on the next page. The authors can confirm that the errors associated with this figure did not have any significant impact on either the results or the conclusions reported in this study, and all the authors agree with the publication of this Corrigendum. The authors are grateful to the Editor of International Journal of Molecular Medicine for giving them the opportunity to publish this Corrigendum; furthermore, they apologize to the readership of the Journal for any inconvenience caused. [International Journal of Molecular Medicine 43: 525­534, 2019; DOI: 10.3892/ijmm.2018.3931].

[Retracted] Oncogenic miR-23a-5p is associated with cellular function in RCC.

Following the publication of this article, a concerned reader drew to the Editor's attention that, for the invasion and migration assay data shown in Fig. 4 on p. 2314, three pairs of data panels were overlapping, such that data which were intended to show the results from differently performed experiments were obtained from a smaller number of original sources. Moreover, after having conducted an internal investigation, the Editorial Office also observed that some of the flow cytometric data shown in Fig. 6 were duplicated in Fig. 7. Considering the number of overlapping data panels that have been identified in this published paper, the Editor of Molecular Medicine Reports has concluded that the article should be retracted from the publication on account of a lack of confidence in the integrity of the data. Upon contacting the authors about this matter, they accepted the decision to retract this paper. The Editor apologizes to the readership for any inconvenience caused, and thanks the interested reader for drawing this matter to our attention. [Molecular Medicine Reports 16: 2309-2317, 2017; DOI: 10.3892/mmr.2017.6829].

[Corrigendum] Identification of lncRNA EGOT as a tumor suppressor in renal cell carcinoma.

Subsequently to the publication of the above paper, an interested reader drew to the authors' attention that, concerrning the Transwell cell migration and invasion assay data shown in Fig. 6A and B for the 786­O cell line on p. 7206, the pcDNA3.1­EGOT 'Migration' and 'Invasion' (a­1 and b­1) data panels appeared to contain overlapping sections of data, such that they were potentially derived from the same original source, where these panels were intended to show the results from differently performed experiments. The authors have re­examined their original data, and realize that the 'Invasion' (b­1) panel in Fig. 6B was inadvertently chosen incorrectly. The revised version of Fig. 6, now featuring the correct data for the 'Invasion' experiment (B1 in the replacement figure) in Fig. 6B, is shown on the next page. Note that this error did not adversely affect either the results or the overall conclusions reported in this study. All the authors agree with the publication of this corrigendum, and are grateful to the Editor of Molecular Medicine Reports for allowing them the opportunity to publish this. They also wish to apologize to the readership of the Journal for any inconvenience caused.[Molecular Medicine Reports 16: 7072­7079, 2017; DOI: 10.3892/mmr.2017.7470].

[Retracted] miR­660­5p is associated with cell migration, invasion, proliferation and apoptosis in renal cell carcinoma.

Following the publication of the above article, the authors contacted the Editorial Office to explain that a couple of errors concerning data handling/labelling had been made, firstly during the preparation of the representative images in Fig. 3B, resulting in the wrong image being selected for the data panel showing the ACHN cells treated with 'Inhibitor NC' at 0 h experiment, and secondly in Fig. 5A, resulting in the wrong image being selected for the data panel showing the ACHN cells treated with 'Inhibitor NC' experiment. The authors requested that a corrigendum be published to take account of the errors that were made during the preparation of this figure. Subsequently, an independent investigation of the published data was undertaken by the Editorial Office, which revealed that the 'Inhibitor' data panel in Fig. 6A and the 'Mimic NC' data panel in Fig. 6B were also overlapping, such that these data were likely to have been derived from the same original source, even though these data panels were intended to have shown the results from differently performed experiments. The Editor of Molecular Medicine Reports has considered the authors' request to publish a corrigendum, but given the number of overlapping data panels that have been identified and the number of figures that would be in need of correction, the Editor has decided to decline the authors' request to publish a corrigendum on account of an overall lack of confidence in the presented data, and instead has determined that the paper should be retracted. Upon receiving this news from the Editor, the authors accepted the Editor's decision. The Editor apologizes to the readership of the Journal for any inconvenience caused. [Molecular Medicine Reports 17: 2051­2060, 2018; DOI: 10.3892/mmr.2017.8052].

Erratum: [Corrigendum] miR­216a­5p acts as an oncogene in renal cell carcinoma.

[This corrects the article DOI: 10.3892/etm.2018.5881.].

The value of a panel of circulating microRNAs in screening prostate cancer.

Background: Prostate cancer (PCa) remains a worldwide public health problem that poses a serious threat to the health of men worldwide. Many studies have found that microRNA (miRNA) in serum has the potential to be a biomarker for cancer screening. Our study was conducted to investigate the value of serum miRNAs in PCa screening. Methods: We selected 12 miRNAs from past studies for its association with PCa. We checked the expression levels of these miRNAs in the serum of 112 PCa patients and 112 healthy controls in a two-stage experiment. We plotted the receiver operating characteristic curve of miRNAs in the validation stage and constructed a four-miRNA panel with the highest diagnostic value using stepwise logistic regression. We also predicted the target genes with these four miRNAs through online databases and performed Gene Ontology functional annotation and pathway analysis. Results: The results showed that six miRNAs (miR-429, miR-10a-5p, miR-183-5p, miR-181a-5p, miR-1231, miR-129-5p) were abnormally expressed in the serum of PCa patients. We used four of these miRNAs including miR-1231, miR-10a-5p, miR-429 and miR-129-5p to construct a combination of miRNAs with high specificity and sensitivity in screening PCa (area under the curve =0.878). Bioinformatics analysis showed that the genes targeted by these miRNAs can be linked to the development of PCa. Conclusions: Our study detected and identified a set of miRNAs that serves as screening marker for PCa, which may assist in early diagnosis and treatment of PCa.

Erratum: [Corrigendum] miR­199b­5p serves as a tumor suppressor in renal cell carcinoma.

[This corrects the article DOI: 10.3892/etm.2018.6151.].

[Corrigendum] microRNA­181a­5p functions as an oncogene in renal cell carcinoma.

Following the publication of the above article and a corrigendum in 2018 that corrected details of the correspondence information for authors, errors made in Fig. 5 and the funding details (doi: 10.3892/mmr.2018.9117), an interested reader drew to the authors' attention that, in Fig. 6 on p. 8515 showing the results of cell migration and invasion assay experiments, a pair of data panels were overlapping, such that data which were intended to show the results from differently performed experiments appeared to have been derived from the same original source. After having consulted their original data, the authors have realized that Fig. 6 was assembled incorrectly, The revised version of Fig. 6, now showing the correct data for the 'ACHN/migratory/NC' experiment, is shown on the next page. Note that all the authors approve of the publication of this corrigendum, and the authors are grateful to the Editor of Molecular Medicine Reports for granting them the opportunity to publish this. The authors regret their oversight in allowing this error to be included in the paper, and also apologize to the readership for any inconvenience caused. [Molecular Medicine Reports 17: 8510­8517, 2018; DOI: 10.3892/mmr.2018.8899].

A serum panel of three microRNAs may serve as possible biomarkers for kidney renal clear cell carcinoma.

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.

Profiling of Serum miRNAs Constructs a Diagnostic 3-miRNA Panel for Clear-Cell Renal Cell Carcinoma.

BACKGROUND: Renal cell carcinoma (RCC) carries significant morbidity and mortality globally with an increasing incidence per year predominantly represented by clear-cell renal cell carcinoma (ccRCC) which accounts for 70-80% of all RCC cases. MicroRNAs(miRNAs) implicate tumor development and progression in epigenetic mechanisms and available profiling of serum miRNAs potentiate them as diagnostic markers for various cancers. MATERIALS AND METHODS: A total of 108 ccRCC patients and 112 normal controls were enrolled. A 3-stage experiment was conducted to identify differentially expressed serum miRNAs in ccRCC and establish a diagnostic miRNAs panel. Additionally, bioinformatic analysis was employed to predict selected miRNAs' target genes, preform functional annotation and explore the roles in ccRCC. RESULTS: MiR-429, miR-10a-5p, miR-154-5p were found to be up-regulated miRNAs. Inversely, miR-27a-3p and miR-221-3p were found to be down-regulated miRNAs. These 5 miRNAs were selected to construct diagnostic panel by backward stepwise logistic regression analysis and ultimately a 3-miRNA panel (miR-429, miR-10a-5p and miR-27a-3p) was established [area under the curve (AUC) = 0.897, sensitivity = 85.0%, specificity = 83.3%]. CONCLUSION: The panel of 3-miRNA holds promise as a novel, convenient, and noninvasive diagnostic method for early detection of ccRCC.

The value of a three-microRNA panel in serum for prostate cancer screening.

BACKGROUND: Globally, prostate cancer is the second most common malignancy in males. Serum microRNAs (miRNAs) may function as non-invasive and innovative biomarkers for various cancers. Our study aimed to determine potential miRNAs for prostate cancer screening. METHODS: A three-stage study was accomplished to ascertain crucial miRNAs as markers. In the screening stage, we searched PubMed for aberrantly expressed miRNAs relevant to prostate cancer and selected them as candidate miRNAs. In training and validation stages, with serum specimens from 112 prostate cancer patients and 112 healthy controls, expressions of candidate miRNAs were identified through quantitative reverse transcription-polymerase chain reaction. The diagnostic capabilities of miRNAs were determined by receiver operating characteristic curves. Bioinformatic analysis was utilized to explore the function of the critical miRNAs. RESULTS: Expression of six serum miRNAs (miR-34b-3p, miR-556-5p, miR-200c-3p, miR-361-5p, miR-369-3p, miR-485-3p) were significantly altered in prostate cancer patients contrasted with healthy controls. The optimal combination of critical miRNAs is a three-miRNA panel (miR-34b-3p, miR-200c-3p, and miR-361-5p) with good diagnostic capability. FLRT2, KIAA1755, LDB3, and NTRK3 were identified as the potential genes targeted by the three-miRNA panel. CONCLUSIONS: The three-miRNA panel may perform as an innovative and promising serum marker for prostate cancer screening.

A serum miRNAs signature for early diagnosis of bladder cancer.

BACKGROUND: Bladder cancer accounts for the most common type of urologic malignancy and presents high recurrence rate after surgical resection and adjuvant intravesical therapy. We aim to search for an early diagnostic biomarker in serum for bladder cancer in this study. METHODS: The expression profiles of miRNAs in serum samples of 112 bladder cancer patients and 112 healthy controls were detected with real-time polymerase chain reaction (RT-qPCR). Receiver operating characteristic (ROC) curve and area under curve (AUC) analysis were performed to assess the diagnostic efficiency of miRNAs. Stepwise logic regression analysis was used to construct a diagnostic signature with highest sensitivity and specificity. Bioinformatics analysis was applied to explore the potential biological functions and mechanisms of candidate miRNAs. RESULTS: Five miRNAs including miR-451a, miR-381-3p, miR-223-3p, miR-142-5p and miR-27b-3p were found differentially expressed in serum samples of bladder patients and healthy subjects. The diagnostic signature was constructed with miR-27b-3p, miR-381-3p and miR-451a. AUC of the three-miRNA signature was 0.894 (0.837-0.936, p < 0.001). The sensitivity and specificity of this signature were 86.90% and 77.38%, respectively, indicating that this signature has a good ability to diagnose bladder cancer. CONCLUSION: The three-miRNA signature we constructed has favorable diagnostic capacity and may be a promising non-invasive biomarker in the early diagnosis of bladder cancer.KEY MESSAGESThere is still no clinical utilization of serum miRNAs in the early detection of bladder cancer.We screened and constructed a three-miRNA signature with the sensitivity of 86.90% and specificity of 77.38% which may be a promising non-invasive biomarker in the early diagnosis of bladder cancer.

Bladder cancer diagnosis with a four-miRNA panel in serum.

Background: Bladder cancer is one of the most prevalent malignancies. Due to the disadvantage of existing bladder cancer diagnostic tools, miRNAs hold promise as new diagnostic markers. Materials & methods: A total of 224 participants were involved in this three-cohort trial. A total of 15 candidate miRNAs were selected, and miRNAs with diagnostic ability were screened out with quantitative reverse transcription PCR. Diagnostic capability was ascertained by the receiver operating characteristic curve and area under the curve. Bioinformatics analysis was constructed for target gene prediction and functional annotation. Results: Six candidate miRNAs showed significantly different expression between bladder cancer patients and normal controls, and the final diagnostic panel comprised miR-181b-5p, miR-183-5p, miR-199-5p and miR-221-3p. Conclusion: This four-miRNA panel could represent a stable biomarker for bladder cancer diagnosis.

Bladder cancer is one of the most prevalent malignancies. Due to the disadvantage of existing bladder cancer diagnostic tools, miRNAs hold promise as new diagnostic markers. After an experiment composed of 224 participants, the authors screened out six candidate miRNAs that may contribute to diagnosing bladder cancer. The authors also repeatedly verified the reliability of candidate miRNAs. Finally, a combination of multiple miRNAs, consisting of miR-181b-5p, miR-183-5p, miR-199-5p, and miR-221-3p, was better and more reliable in predicting bladder cancer occurrence.

A Four-MicroRNA Panel in Serum as a Potential Biomarker for Screening Renal Cell Carcinoma.

Background: Renal cell carcinoma (RCC) has been a major health problem and is one of the most malignant tumors around the world. Serum microRNA (miRNA) profiles previously have been reported as non-invasive biomarkers in cancer screening. The aim of this study was to explore serum miRNAs as potential biomarkers for screening RCC. Methods: A three-phase study was conducted to explore serum miRNAs as potential biomarkers for screening RCC. In the screening phase, 12 candidate miRNAs related to RCC were selected for further study by the ENCORI database with 517 RCC patients and 71 NCs. A total of 220 participants [108 RCC patients and 112 normal controls (NCs)] were enrolled for training and validation. The dysregulated candidate miRNAs were further confirmed with 30 RCC patients and 30 NCs in the training phase and with 78 RCC patients and 82 NCs in the validation phase. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used for assessing the diagnostic value of miRNAs. Bioinformatic analysis and survival analysis were also included in our study. Results: Compared to NCs, six miRNAs (miR-18a-5p, miR-138-5p, miR-141-3p, miR-181b-5p, miR-200a-3p, and miR-363-3p) in serum were significantly dysregulated in RCC patients. A four-miRNA panel was built by combining these candidate miRNAs to improve the diagnostic value with AUC = 0.908. ABCG1 and RNASET2, considered potential target genes of the four-miRNA panel, may play a significant role in the development of RCC. Conclusion: A four-miRNA panel in serum was identified for RCC screening in our study. The four--miRNA panel has a great potential to be a non-invasive biomarker for RCC screening.

A four-miRNA signature in serum as a biomarker for bladder cancer diagnosis.

BACKGROUND: Urinary bladder cancer (BCa) is globally the 10th most frequent cancer. As a novel diagnostic tool, miRNA in serum screening is non-invasive. This project aimed to determine particular serum miRNAs as novel biomarkers for diagnosing urinary BCa. METHODS: We designed a three-phase study with 122 healthy controls (HCs) and 132 BCa patients. The 30 miRNAs' expressions in serum from HCs and BCa patients were detected during the screening phase. The miRNAs with the most dysregulation were tested in the training (HCs vs. BCa, 30 each) and validation (80 HCs vs. 82 BCa) phase further. The diagnostic ability of these candidate miRNAs was estimated by the receiver operating characteristic (ROC) curves as well as the area under the ROC curve (AUC). The miRNAs' target genes and their annotations to functions were predicted utilizing bioinformatic assays. RESULTS: Six serum miRNAs (miR-124-3p, miR-182-5p, miR-1-3p, miR-196a-5p, miR-23b-3p and miR-34a-5p) had significantly different expression between BCa patients and HCs in the training and validation phase. The four-microRNA panel improved the diagnostic value, with AUC =0.985. The result of bioinformatic analysis showed that these miRNAs' target genes in the panel may be related to the MAPK signaling pathway in bladder cancer. CONCLUSIONS: Our study identified a four-miRNA panel that is a non-invasive new biomarker for diagnosing BCa.

Identification of a three-miRNA panel in serum for bladder cancer diagnosis by a diagnostic test.

Background: Bladder cancer (BC) is the tenth most common cancer in the world. Serum microRNA (miRNA) profiles previously have been reported as non-invasive biomarkers in cancer screening. The non-invasive and reliable diagnostic biomarkers are urgently needed for detecting BC, while cystoscopy is invasive. Our study aimed to identify candidate miRNAs in serum as potential diagnostic biomarkers for BC detection. Methods: This study was including the screening stage, training stage, and validation stage with 137 BC patients and 127 healthy controls (HCs). We identified the expression of 28 serum miRNAs from 5 BC pools and 3 HC pools in the initial screening stage. The other 112 BC patients and 112 HCs were randomly divided into training stage with 30 BC patients and 30 HCs and validation stages with 82 BC patients and 82 HCs. These HCs matched BC patients based on age and gender with P value >0.05. Identified dysregulated miRNAs were further confirmed in the training stage, and validation stages by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The diagnostic value of miRNAs was assessed by receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC). Target genes of 3 candidate miRNAs were predicted by bioinformatic analysis. Results: Five miRNAs (miR-106a-5p, miR-145-5p, miR-132-3p, miR-7-5p and miR-148b-3p) in serum were obviously dysregulated in BC patients compared to HCs. The ability to diagnose BC of 3 candidate miRNAs was estimated by AUC, with miR-132-3p (AUC =0.781; sensitivity =68.29%, specificity =81.71%), miR-7-5p (AUC =0.778; sensitivity =59.76%, specificity =84.15%) and miR-148b-3p (AUC =0.837; sensitivity =81.71%, specificity =71.95%). Combined application of these candidate miRNAs with parallel test could improve the diagnostic value (AUC =0.922; sensitivity =90.24%, specificity =81.71%). BNC2, GAS7, and NTRK2, considered as target genes of the three-miRNA panel, may play an important role in the process of BC development. Conclusions: A three-miRNA panel in serum was identified for BC diagnosis in our study, which HCs were used for differential diagnosis. The three-miRNA panel (miR-132-3p, miR-7-5p, and miR-148b-3p) might be performed as a non-invasive and convenient diagnostic tool for BC screening and diagnosis.

A Panel of Three Serum MicroRNAs as a Potential Diagnostic Biomarker for Urothelial Carcinoma.

OBJECTIVE: Urothelial carcinoma (UCa) is one of the most common malignancies of the genitourinary system, and its early diagnosis is vital to improve the survival of UCa patients. Therefore, novel noninvasive markers are urgently needed to improve the diagnosis of UCa. The present study aims to identify microRNAs (miRNAs) relevant for the diagnosis of UCa. MATERIALS AND METHODS: We enrolled a total of 152 UCa patients and 135 healthy controls at a single institution, between 2012 and 2020. The expression levels of candidate miRNAs were calculated from serum samples based on quantitative reverse transcription-polymerase chain reaction. miRNAs with a good diagnostic value were selected and confirmed step by step in a four-phase test. The area under the curve (AUC) of each miRNA was obtained by analyzing the receiver operating characteristic (ROC) curve, which was used to evaluate the sensitivity, specificity, and corresponding cutoff values of miRNAs. Backward stepwise logistic regression was used to identify a panel of miRNAs that could distinguish UCa from healthy controls. RESULTS: Four miRNAs were relevant for diagnosis: miR17-5p (AUC = 0.786, p < 0.001), miR-125a-5p (AUC = 0.681, p < 0.01), miR145-5p (AUC = 0.737, p < 0.001), and miR-224-5p (AUC = 0.872, p < 0.001). These miRNAs were used to construct a diagnostic panel. The final optimal combination to diagnose UCa included three miRNAs, namely, miR17-5p, miR145-5p, and miR-224-5p. The ROC curve of the panel was constructed, and its AUC was 0.961 (95% CI: 0.931-0.991; sensitivity = 93.8%, and specificity = 87.5%). CONCLUSION: In this study, we discovered four miRNAs (miR17-5p, miR-125a-5p, miR145-5p, and miR-224-5p) that were relevant for UCa diagnosis, and successfully developed a panel using three of these miRNAs. This panel may serve as a new biomarker tool with high sensitivity and specificity to diagnose UCa in patients.

A panel of three serum microRNA can be used as potential diagnostic biomarkers for nasopharyngeal carcinoma.

BACKGROUND: Nasopharyngeal carcinoma is cancer with unique epidemiological characteristics, showing obvious ethnicity, gender, and geographical prevalence. More and more evidence shows that microRNAs are stable in serum and are specific to different tumor types. Therefore, miRNA is a new non-invasive biomarker for cancer detection. METHODS: The experiment is divided into three stages, namely, the screening stage, the training stage, and the verification stage. We took 54 patients with nasopharyngeal carcinoma and 108 healthy controls as the research objects. We use the receiver-operating characteristic (ROC) curve and area under the ROC curve (AUC) to evaluate the diagnostic value of miRNA. Finally, a three-miRNA panel with high diagnostic efficiency was constructed. In addition, we conducted biological information analysis of these miRNAs to explore their functions. RESULTS: In NPC patients, the expression of five serum miRNAs (miR-29c-3p, miR-143-5p, miR-150-5p, miR-145-3p, and miR-205-5p) is significantly dysregulated. Among them, the diagnostic value of these three miRNAs (miR-29c-3p, AUC = 0.702; miR-143-5p, AUC = 0.733; and miR-205-5p, AUC = 787) is more prominent. The diagnostic panel constructed by them has a higher diagnostic value (AUC = 0.902). Through the analysis of the TCGA data set, the target gene of the three-miRNA panel may be KLF7, NRG1, SH3BGRL2, and SYNPO2. CONCLUSION: The three-miRNA panel (miR-29c-3p, miR-143-5p, and miR-205-5p) may become a novel non-invasive biological marker for nasopharyngeal cancer screening.