MicroRNA-21 expression is associated with overall survival in patients with glioma
Open accessAbstract
BACKGROUND: MicroRNA-21 has been proved to be associated with glioma proliferation and invasion; thus, we sought to clarify the clinical value of miR-21 expression in glioma tissues with WHO grade I to IV. METHODS: One hundred and fifty-two pairs of human gliomas and non-neoplastic brain tissues were evaluated using real-time PCR. The association of miR-21 expression with clinicopathological factors or the prognosis of glioma patients was also analyzed. In this study, survival analysis was performed using the Kaplan-Meier method and Cox's proportional hazards model. RESULTS: MiR-21 was more greatly expressed in glioma tissues compared to the corresponding non-neoplastic brain tissues (P < 0.001). This observed high miR-21 expression was significantly associated with high pathological grades and the Karnofsky performance score of glioma patients. In addition, overall patient survival for those with low miR-21 expression was significantly longer than those patients with high miR-21 expression (P < 0.001). Moreover, multivariate Cox regression analysis indicated that miR-21 might be an independent prognostic marker for glioma patient survival. CONCLUSIONS: Our data show that miR-21 may be a candidate independent marker for gliomas, especially those with high pathological grades, and this could also be a potential therapeutic target for molecular glioma therapy. VIRTUAL SLIDE: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1445749171109834.
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miR-21 is significantly upregulated in glioma tissues and strongly correlates with tumor characteristics and invasiveness.
“miR-21, an oncomiR in glioma, showed significant upregulation in glioma tissues, strongly correlating with tumor characteristics and invasiveness [26].”
From miR-21 as a diagnostic and prognostic biomarker in glioma: tissue and serum expression analysis in a Pakistani cohort (2026) · cites this paper as [26]
The Results section reports significantly higher miR-21 expression in glioma tissues than in non-neoplastic brain tissues, and the Discussion reports a significant correlation with aggressive clinicopathological features. The Abstract Background says miR-21 is associated with glioma invasion, but the paper does not establish the claimed strong correlation between expression and invasiveness specifically. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSerum miR-21 expression levels were significantly higher in pre-operative glioma samples than in postoperative serum of grade 2 (p=0.0079), grade 3 (p=0.0079) and grade 4 (p=0.0096).
“Moreover, the serum expression levels were also significantly higher in pre-operative glioma samples than in postoperative serum of grade 2 (p=0.0079 ), grade 3 (p=0.0079) and grade 4 (p=0.0096)which is consistent with previous findings [26,30] .”
From miR-21 as a diagnostic and prognostic biomarker in glioma: tissue and serum expression analysis in a Pakistani cohort (2026) · cites this paper as [26]
The Results section ('Increased expression of miR-21 in glioma tissues') compares resected glioma tissue with adjacent non-neoplastic brain tissue, not pre-operative and postoperative serum. The Methods section ('Patients and tissue samples') likewise describes tissue specimens; searches for serum, pre/postoperative comparisons, and the stated p-values found no supporting passage in our copy. (LLM, conf=0.78)
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Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068 · see citing works
The 2007 WHO Classification of Tumours of the Central Nervous System
Louis, D. N., Ohgaki, H., Wiestler, O. D., Cavenee, W. K., Burger, P. C., Jouvet, A., Scheithauer, B. W., & Kleihues, P. (2007) · Acta Neuropathologica · doi:10.1007/s00401-007-0243-4 · Cited by 15,422 · see citing works
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728 · see citing works
MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.
Shukla, G. C., Singh, J., & Barik, S. (2011) · PubMed · Cited by 821 · see citing works
Zhang, J.-G., Wang, J., Zhao, F., Liu, Q., Jiang, K., & Yang, G. (2010) · Clinica Chimica Acta · doi:10.1016/j.cca.2010.02.074 · Cited by 564 · see citing works
Self-citationZhang, H., Yang, L., Zhu, Y., Yao, X., Zhang, S., Dai, B., Zhu, Y., Shen, Y., Shi, G., & Ye, D. (2010) · The Prostate · doi:10.1002/pros.21246 · Cited by 322 · see citing works
Regulation of the cell cycle gene, BTG2, by miR-21 in human laryngeal carcinoma
Liu, M., Wu, H., Liu, T., Li, Y., Wang, F., Wan, H., Li, X., & Tang, H. (2009) · Cell Research · doi:10.1038/cr.2009.72 · Cited by 189 · see citing works
MicroRNA miR-21 Regulates the Metastatic Behavior of B16 Melanoma Cells
Yang, C. H., Yue, J., Pfeffer, S. R., Handorf, C. R., & Pfeffer, L. M. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.285098 · Cited by 184 · see citing works
Prognostic significance of serum miRNA‐21 expression in human non‐small cell lung cancer
Wang, Z., Bian, H., Wang, J., Cheng, Z., Wang, K., & De, W. (2011) · Journal of Surgical Oncology · doi:10.1002/jso.22008 · Cited by 158 · see citing works
Gao, W., Lu, X. J., Liu, L., Xu, J., Feng, D., & Shu, Y. (2012) · Cancer Biology & Therapy · doi:10.4161/cbt.19073 · Cited by 144 · see citing works
Self-citationLing, M., Li, Y., Xu, Y., Pang, Y., Shen, L., Jiang, R., Zhao, Y., Yang, X., Zhang, J., Zhou, J., et al. (2012) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2012.02.020 · Cited by 137 · see citing works
Self-citationEffect of miR-21 and miR-30b/c on TRAIL-induced apoptosis in glioma cells
Quintavalle, C., Donnarumma, E., Iaboni, M., Roscigno, G., Garofalo, M., Romano, G., Fiore, D., Marinis, P. D., Croce, C. M., & Condorelli, G. (2012) · Oncogene · doi:10.1038/onc.2012.410 · Cited by 106 · see citing works
Han, L., Yue, X., Zhou, X., Lan, F., You, G., Zhang, W. J., Zhang, K., Zhang, C., Cheng, J., Yu, S., et al. (2012) · CNS Neuroscience & Therapeutics · doi:10.1111/j.1755-5949.2012.00344.x · Cited by 103 · see citing works
Overexpression of circulating miRNA-21 and miRNA-146a in plasma samples of breast cancer patients.
Kumar, S., Keerthana, R., Pazhanimuthu, A., & Perumal, P. (2013) · PubMed · Cited by 102 · see citing works
Correlation of microrna-372 upregulation with poor prognosis in human glioma
Li, G., Zhang, Z., Tu, Y., Jin, T., Liang, H., Cui, G., He, S., & Gao, G. (2013) · Diagnostic Pathology · doi:10.1186/1746-1596-8-1 · Cited by 73 · see citing works
Self-citationOverexpression of miRNA-21 promotes radiation-resistance of non-small cell lung cancer
Wang, X., Wang, W., Zhang, Z. D., Jing, Z., Xiao-Gang, T., & Jian-Chao, L. (2013) · Radiation Oncology · doi:10.1186/1748-717x-8-146 · Cited by 69 · see citing works
Self-citationSánchez-Díaz, P. C., Hsiao, T.-H., Chang, J. C., Yue, D., Tan, M. C., Chen, H.-I. H., Tomlinson, G. E., Huang, Y., Chen, Y., & Hung, J. Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061622 · Cited by 48 · see citing works
Diffuse brainstem glioma: prognostic factors
Dellaretti, M., Reyns, N., Touzet, G., Dubois, F., Gusmão, S., Pereira, J. L. B., & Blond, S. (2012) · Journal of neurosurgery · doi:10.3171/2012.7.jns111992 · Cited by 44 · see citing works
Functional profiling of precursor microRNAs identifies microRNAs essential for glioma proliferation
Haapa-Paananen, S., Chen, P., Hellström, K., Kohonen, P., Hautaniemi, S., Kallioniemi, O., & Perälä, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060930 · Cited by 44 · see citing works
Incorporation of Prognostic and Predictive Factors Into Glioma Clinical Trials
Johnson, D. R., & Galanis, E. (2012) · Current Oncology Reports · doi:10.1007/s11912-012-0279-z · Cited by 34 · see citing works
Expression and significance of miRNA-21 and BTG2 in lung cancer
Sun, Q., Hang, M., Guo, X., Shao, W., & Zeng, G. (2013) · Tumor Biology · doi:10.1007/s13277-013-0992-8 · Cited by 23 · see citing works
Oncogenic reg IV is a novel prognostic marker for glioma patient survival
Wang, Q., Deng, J., Yuan, J. J., Wang, L., Zhao, Z., He, S., Zhang, Y., & Tu, Y. (2012) · Diagnostic Pathology · doi:10.1186/1746-1596-7-69 · Cited by 16 · see citing works
High frequency of the X-chromosome inactivation in young female patients with high-grade glioma
Li, G., Zhang, Z., Jin, T., Liang, H., Tu, Y., Gong, L., Chen, Z., & Gao, G. (2013) · Diagnostic Pathology · doi:10.1186/1746-1596-8-101 · Cited by 10 · see citing works
Self-citationLind‐Landström, T., Varughese, R. K., Sundstrøm, S. H., & TORP, S. H. (2013) · Diagnostic Pathology · doi:10.1186/1746-1596-8-67 · Cited by 9 · see citing works
Flagged first, then by citations
1 of the 25 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Glioblastoma at the crossroads: current understanding and future therapeutic horizons
Singh, S., Dey, D., Barik, D., Mohapatra, I., Kim, S., Sharma, M., Prasad, S., Wang, P., Singh, A. R., & Singh, G. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02299-4 · Cited by 332 · see citing works
Circulating biomarkers in patients with glioblastoma
Bark, J. M., Kulasinghe, A., Chua, B., Day, B. W., & Punyadeera, C. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0603-6 · Cited by 255 · see citing works
Adlakha, Y. K., & Saini, N. (2014) · Molecular Cancer · doi:10.1186/1476-4598-13-33 · Cited by 213 · see citing works
Long non-coding RNA CASC2 suppresses malignancy in human gliomas by miR-21
Wang, P., Liu, Y., Yao, Y., Li, Z., Li, Z., Ma, J., & Xue, Y. (2014) · Cellular Signalling · doi:10.1016/j.cellsig.2014.11.011 · Cited by 209 · see citing works
Kros, J. M., Mustafa, D. A. M., Dekker, L. J. M., Smitt, P. A. E. S., Luider, T. M., & Zheng, P. (2014) · Neuro-Oncology · doi:10.1093/neuonc/nou207 · Cited by 116 · see citing works
Molecular and Circulating Biomarkers of Brain Tumors
Jelski, W., & Mroczko, B. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22137039 · Cited by 82 · see citing works
MicroRNA-21 and the clinical outcomes of various carcinomas: a systematic review and meta-analysis
Wang, W., Li, J., Zhu, W. J., Gao, C., Jiang, R., Li, W., Hu, Q., & Zhang, B. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-819 · Cited by 73 · see citing works
Yang, F., Wang, T., Du, P., Fan, H., Dong, X., & Guo, H. (2020) · Cancer Cell International · doi:10.1186/s12935-020-1163-9 · Cited by 72 · see citing works
Shang, C., Guo, Y., Hong, Y., Liu, Y.-H., & Xue, Y.-X. (2015) · Molecular Biology Reports · doi:10.1007/s11033-014-3820-3 · Cited by 71 · see citing works
The role of MiRNA-21 in gliomas: Hope for a novel therapeutic intervention?
Aloizou, A.-M., Pateraki, G., Siokas, V., Mentis, A.-F. A., Liampas, I., Lazopoulos, G., Kovatsi, L., Mitsias, P. D., Bogdanos, D. P., Paterakis, K., et al. (2020) · Toxicology Reports · doi:10.1016/j.toxrep.2020.11.001 · Cited by 69 · see citing works
Novel Molecular Markers in Glioblastoma—Benefits of Liquid Biopsy
Birkó, Z., Nagy, B., Klekner, Á., & Virga, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21207522 · Cited by 67 · see citing works
Qu, K., Lin, T. Y., Pang, Q., Liu, T., Wang, Z., Tai, M., Meng, F., Zhang, J., Wan, Y., Mao, P., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.9188 · Cited by 60 · see citing works
Self-citationMolecular and Circulating Biomarkers in Patients with Glioblastoma
Senhaji, N., Houssaini, A. S., Lamrabet, S., Louati, S., & Bennis, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137474 · Cited by 58 · see citing works
Computational identification of specific genes for glioblastoma stem-like cells identity
Fiscon, G., Conte, F., Licursi, V., Nasi, S., & Paci, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-26081-5 · Cited by 54 · see citing works
Down-regulated miR-22 as predictive biomarkers for prognosis of epithelial ovarian cancer
Wan, W., Zhang, Y., Wang, X., Liu, Y., Zhang, Y., Que, Y., Zhao, W., & Li, P. (2014) · Diagnostic Pathology · doi:10.1186/s13000-014-0178-8 · Cited by 50 · see citing works
miR-21 expression predicts prognosis in hepatocellular carcinoma
Wang, W., Zhang, H.-F., Wang, L., Ma, Y., Gao, F., Zhang, S., & Wang, L. (2014) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2014.07.001 · Cited by 46 · see citing works
Retracted: miR‐96/HBP1/Wnt/β‐catenin regulatory circuitry promotes glioma growth
Yan, Z., Wang, J., Wang, C., Jiao, Y., Qi, W., & Che, S. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.06.017 · Cited by 45 · see citing works
RetractedPrognostic role of microRNA-21 expression in gliomas: a meta-analysis
Li, C., Sun, J., Xiang, Q., Liang, Y., Zhao, N., Zhang, Z., Liu, Q., & Cui, Y. (2016) · Journal of Neuro-Oncology · doi:10.1007/s11060-016-2233-7 · Cited by 43 · see citing works
Self-citationSimply Engineered crRNA with CRISPR/Cas12a System Enables Wide-Scope Nucleic Acid Biomarker Analysis
Zhao, S., Zhang, Q., Sun, J., Li, S., Wang, S., Zhou, D., & Gong, X. (2025) · Nano Letters · doi:10.1021/acs.nanolett.5c01939 · Cited by 42 · see citing works
MicroRNAs and cell cycle of malignant glioma
Ouyang, Q., Xu, L., Cui, H., Xu, M., & Liang, Y. (2015) · International Journal of Neuroscience · doi:10.3109/00207454.2015.1017881 · Cited by 37 · see citing works
MiR-19 regulates the proliferation and invasion of glioma by RUNX3 via β-catenin/Tcf-4 signaling
Sun, J., Jia, Z., Li, B., Zhang, A., Wang, G., Pu, P., Chen, Z., Wang, Z., & Yang, W. (2017) · Oncotarget · doi:10.18632/oncotarget.22720 · Cited by 37 · see citing works
Decreased Expression of miR-15b in Human Gliomas Is Associated with Poor Prognosis
Sun, G., Yan, S., Shi, L., Wan, Z., Jiang, N., Li, M., & Guo, J. X. (2015) · Cancer Biotherapy and Radiopharmaceuticals · doi:10.1089/cbr.2014.1757 · Cited by 35 · see citing works
Jiang, G., Mu, J., Liu, X., Peng, X., Zhong, F., Yuan, W., Deng, F., Peng, X., Peng, S., & Zeng, X. (2020) · Scientific Reports · doi:10.1038/s41598-020-61155-3 · Cited by 33 · see citing works
Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis
Zhang, Y., Chen, J., Xue, Q., Wang, J., Zhao, L., Han, K., Zhang, D., & Hou, L. (2019) · BioMed Research International · doi:10.1155/2019/4015969 · Cited by 32 · see citing works
The expression of miRNA-221 and miRNA-222 in gliomas patients and their prognosis
Xue, L., Wang, Y., Yue, S., & Zhang, J. (2016) · Neurological Sciences · doi:10.1007/s10072-016-2710-y · Cited by 31 · see citing works
Self-citationGlutaminase isoforms expression switches microRNA levels and oxidative status in glioblastoma cells
Santos-Jiménez, J. D. L., Campos-Sandoval, J. A., Márquez-Torres, C., Urbano-Polo, N., Brøndegaard, D., Martín‐Rufián, M., Lobo, C., Peñalver, A., Gómez-García, M. C., Martín-Campos, J., et al. (2021) · Journal of Biomedical Science · doi:10.1186/s12929-021-00712-y · Cited by 28 · see citing works
Advances on Liquid Biopsy Analysis for Glioma Diagnosis
Skouras, P., Markouli, M., Κalamatianos, T., Stranjalis, G., Korkolopoulou, P. A., & Piperi, C. (2023) · Biomedicines · doi:10.3390/biomedicines11092371 · Cited by 28 · see citing works
Systematic characterization and biological functions of non‐coding RNAs in glioblastoma
Dai, L., Liang, W., Shi, Z., Li, X., Zhou, S., Hu, W., Yang, Z., & Wang, X. (2022) · Cell Proliferation · doi:10.1111/cpr.13375 · Cited by 25 · see citing works
Modulation of miR-21 signaling by MPS1 in human glioblastoma
Maachani, U. B., Tandle, A. T., Shankavaram, U. T., Kramp, T. R., & Camphausen, K. A. (2015) · Oncotarget · doi:10.18632/oncotarget.4143 · Cited by 24 · see citing works
Hashemi‐Moghaddam, H., Kashi, M., Mowla, S. J., & Nouraee, N. (2016) · Journal of Separation Science · doi:10.1002/jssc.201600736 · Cited by 22 · see citing works
Hasani, F., Masrour, M., Jazi, K., Ahmadi, P., Hosseini, S. S., Lu, V. M., & Alborzi, A. M. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1357321 · Cited by 21 · see citing works
Hwang, D. W., Choi, Y., Kim, D.-H., Park, H. Y., Kim, K. W., Kim, M. Y., Park, C., & Lee, D. S. (2018) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2018.12.004 · Cited by 18 · see citing works
The Role of CASC2 and miR-21 Interplay in Glioma Malignancy and Patient Outcome
Skiriutė, D., Stakaitis, R., Steponaitis, G., Tamašauskas, A., & Vaitkienė, P. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21217962 · Cited by 18 · see citing works
Prognostic Role of microRNA-21 Expression in Brain Tumors: a Meta-analysis
He, X., Liao, Y.-D., Guo, X. Q., Wang, R., Xiao, Z., & Wang, Y. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9140-3 · Cited by 17 · see citing works
Cheng, M.-W., Wang, L., & Hu, G.-Y. (2015) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2015.16.5.1839 · Cited by 16 · see citing works
Shi, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-12566-x · Cited by 15 · see citing works
Decoding Glioblastoma Through Liquid Biopsy: Molecular Insights and Clinical Prospects
Wasiak, T., Jaskólska, M., Filiks, K., Bartkowiak, J., & Rutkowska, A. (2026) · Cells · doi:10.3390/cells15030309 · Cited by 14 · see citing works
Shou, J., Gu, S., & Gu, W. (2014) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2014.2041 · Cited by 14 · see citing works
MicroRNA biosensors for detection of glioblastoma
Fattahi, M., Maghsudlu, M., Razipour, M., Movahedpour, A., Ghadami, M., Alizadeh, M., Khatami, S. H., Taheri‐Anganeh, M., Ghasemi, H., Ghasemi, H., et al. (2024) · Clinica Chimica Acta · doi:10.1016/j.cca.2024.117829 · Cited by 13 · see citing works
Sippl, C., Teping, F., Ketter, R., Braun, L., Tremmel, L. M., Schulz‐Schaeffer, W., Oertel, J., & Urbschat, S. (2019) · World Neurosurgery · doi:10.1016/j.wneu.2019.07.134 · Cited by 11 · see citing works
Zhang, Y., Zhao, S., & XU, Z. (2016) · Oncology Letters · doi:10.3892/ol.2016.4398 · Cited by 5 · see citing works
Diagnostic and Prognostic Values of miRNAs in High-Grade Gliomas: A Systematic Review
Aman, R. A., Pratama, M. G., Satriawan, R. R., Ardiansyah, I. R., & Suanjaya, I. K. A. (2024) · F1000Research · doi:10.12688/f1000research.151350.1 · Cited by 3 · see citing works
Stupak, E. V., Veryasikina, Y. A., Titov, S. E., Askandaryan, A. S., Hiana, J. C., Zhimulev, I. F., & Stupak, V. V. (2023) · Cureus · doi:10.7759/cureus.35906 · Cited by 3 · see citing works
Zhang, X., Zhao, F., Zhang, S., & Song, Y. (2017) · Genetic Testing and Molecular Biomarkers · doi:10.1089/gtmb.2016.0281 · Cited by 3 · see citing works
Prognostic and Predictive Biomarkers for Colorectal Cancer
Manne, U., Putcha, B. K., Samuel, T., & Srivastava, S. (2017) · Wiley eBooks · doi:10.1002/9781118468869.ch13 · Cited by 3 · see citing works
Long non-coding RNA as a potential biomarker for prognosis of glioma
Xie, T., Li, B., Liu, H., Zhang, C., Wang, Y., Chen, Z., & Yan, J. (2021) · Medicine · doi:10.1097/md.0000000000026921 · Cited by 2 · see citing works
Liquid biopsy in brain tumors: Potential for impactful clinical applications
Eid, T., Ghandour, L., Ghanem, J. A., Assi, H. I., & Mahfouz, R. A. (2024) · Human Gene · doi:10.1016/j.humgen.2024.201333 · Cited by 2 · see citing works
Laghari, A. A., Sufiyan, S., Amin, W., Ilyas, S., Naeem, S., Adnan, U., Abidi, S. H., Uddin, S., Enam, S. A., & Mughal, N. (2026) · Journal of Neuro-Oncology · doi:10.1007/s11060-025-05287-4 · Cited by 1 · see citing works
“The serum sample cohort had a substantially higher = 0.0079), grade 3 ( p = 0.0079) and grade 4 ( p = 0.0096) which is consistent with previous findings [ 26, 30].”
InfluentialMicroRNAs in high-grade gliomas: What is their role?
Stepanović, A., Nikitović, M., & Petrović, N. (2023) · Medicinski podmladak · doi:10.5937/mp74-41114
Valiulytė, I., Stakaitis, R., Pranckevičienė, A., Tamašauskas, A., & Vaitkienė, P. (2026) · Cancer Cell International · doi:10.1186/s12935-026-04233-2
Tumor-suppressive role of miR-216b impacts cell cycle regulation in high-grade glioma
Lang, A., Buerger, S., Mager, L., Erjavc, L., Kiesel, B., Madlener, S., Jaunecker, C., Pacher, L., Robert, F. C., Krausgruber, L., et al. (2026) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02215-5
- Authors
- Wu, L., Li, G., Feng, D., Qin, H., Gong, L., Zhang, J., & Zhang, Z.
- Affiliations
- State Key Laboratory of Cancer Biology (CN)
- Tang Du Hospital (CN)
- Wuhan General Hospital of Guangzhou (CN)
- Corresponding author
- Zhang, Zhiguo
- Venue
- Diagnostic Pathology
- Published
- 2013-12
- Volume
- 8
- Issue
- 1
- Pages
- 200-200
- ISSN
- 1746-1596 (ISSN-L)
- PMC
- PMC3933412
- OpenAlex
- W1968325334
- Cited by
- 53
- References
- 25
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 3 · 2020: 5 · 2019: 3 · 2018: 2 · 2017: 4 · 2016: 5 · 2015: 5 · 2014: 9
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Diagnostic Pathology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- miR-21, glioma, overall survival, prognostic factors, tumor grade, Karnofsky performance status, therapeutic target
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Brain Neoplasms, Child, Child, Preschool, Female, Glioma, Humans, Male, Middle Aged, Risk Factors, Time Factors, Biomarkers, Tumor, Up-Regulation, Multivariate Analysis, Proportional Hazards Models, Karnofsky Performance Status, MicroRNAs, Kaplan-Meier Estimate, Young Adult, Neoplasm Grading, Real-Time Polymerase Chain Reaction
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