Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium
ABSTRACT Background Considerable epidemiological studies have examined the correlation between polymorphic single‐nucleotide variants (SNPs) in miRNA genes and colorectal carcinoma (CRC) risk, yielding inconsistent results. Herein, we sought to systematically investigate the association between miRN...
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2025-01-01
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| Online Access: | https://doi.org/10.1002/cam4.70621 |
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| author | Qing Liu Ivan Archilla Sandra Lopez‐Prades Ferran Torres Jordi Camps Miriam Cuatrecasas |
| author_facet | Qing Liu Ivan Archilla Sandra Lopez‐Prades Ferran Torres Jordi Camps Miriam Cuatrecasas |
| author_sort | Qing Liu |
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| description | ABSTRACT Background Considerable epidemiological studies have examined the correlation between polymorphic single‐nucleotide variants (SNPs) in miRNA genes and colorectal carcinoma (CRC) risk, yielding inconsistent results. Herein, we sought to systematically investigate the association between miRNA‐SNPs and CRC susceptibility by combined evaluation using pairwise and network meta‐analysis, the FPRP analysis (false positive report probability), and the Thakkinstian's algorithm. Methods The MEDLINE, EMBASE, WOS, and Cochrane Library databases were searched through May 2024 to find relevant association literatures. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were computed by the pairwise meta‐analysis. Network meta‐analysis and the Thakkinstian's method were applied for determining the potentially optimal genetic models; additionally, the FPRP was used to identify noteworthy associations. Results Totally, 39 case–control trials involving 18,028 CRC cases, and 21,816 normal participants were included in the study. Eleven SNPs within nine genes were examined for their predisposition to CRC. miR‐27a (rs895819) was found to significantly increase CRC risk among overall population (OR 1.58, 95% CI: 1.32–1.89) and Asians (OR 1.62, 95% CI: 1.31–2.01), with the recessive models identified as the optimal models. Furthermore, miR‐196a2 (rs11614913), miR‐143/145 (rs41291957), and miR‐34b/c (rs4938723) were significantly related to reduced CRC risk among Asian descendants under the optimal dominant (OR 0.75, 95% CI: 0.65–0.86), recessive (OR 0.72, 95% CI: 0.60–0.85), and recessive models (OR 0.69, 95% CI: 0.56–0.85), respectively. The results were also proposed by the network meta‐analysis or the Thakkinstian's method and confirmed by the FPRP criterion. Conclusion The miR‐27a (rs895819) is correlated with elevated CRC risk among overall population and Asians, and the recessive model is found to be optimal for predicting CRC risk. Additionally, the miR‐196a2 (rs11614913), miR‐143/145 (rs41291957), and miR‐34b/c (rs4938723), with the dominant, recessive, and recessive models identified as the optimal, might confer protective effects against CRC among Asians. |
| format | Article |
| id | doaj-art-eb17912ae54a44068153b73199011931 |
| institution | Kabale University |
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| series | Cancer Medicine |
| spelling | doaj-art-eb17912ae54a44068153b731990119312025-01-24T08:46:07ZengWileyCancer Medicine2045-76342025-01-01142n/an/a10.1002/cam4.70621Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP CriteriumQing Liu0Ivan Archilla1Sandra Lopez‐Prades2Ferran Torres3Jordi Camps4Miriam Cuatrecasas5Faculty of Medicine and Health Sciences, Doctoral School University of Barcelona Barcelona SpainAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS) Barcelona SpainAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS) Barcelona SpainDepartment of Biostatistics Autonomous University of Barcelona (UAB) Bellaterra SpainAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS) Barcelona SpainAugust Pi i Sunyer Biomedical Research Institute (IDIBAPS) Barcelona SpainABSTRACT Background Considerable epidemiological studies have examined the correlation between polymorphic single‐nucleotide variants (SNPs) in miRNA genes and colorectal carcinoma (CRC) risk, yielding inconsistent results. Herein, we sought to systematically investigate the association between miRNA‐SNPs and CRC susceptibility by combined evaluation using pairwise and network meta‐analysis, the FPRP analysis (false positive report probability), and the Thakkinstian's algorithm. Methods The MEDLINE, EMBASE, WOS, and Cochrane Library databases were searched through May 2024 to find relevant association literatures. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were computed by the pairwise meta‐analysis. Network meta‐analysis and the Thakkinstian's method were applied for determining the potentially optimal genetic models; additionally, the FPRP was used to identify noteworthy associations. Results Totally, 39 case–control trials involving 18,028 CRC cases, and 21,816 normal participants were included in the study. Eleven SNPs within nine genes were examined for their predisposition to CRC. miR‐27a (rs895819) was found to significantly increase CRC risk among overall population (OR 1.58, 95% CI: 1.32–1.89) and Asians (OR 1.62, 95% CI: 1.31–2.01), with the recessive models identified as the optimal models. Furthermore, miR‐196a2 (rs11614913), miR‐143/145 (rs41291957), and miR‐34b/c (rs4938723) were significantly related to reduced CRC risk among Asian descendants under the optimal dominant (OR 0.75, 95% CI: 0.65–0.86), recessive (OR 0.72, 95% CI: 0.60–0.85), and recessive models (OR 0.69, 95% CI: 0.56–0.85), respectively. The results were also proposed by the network meta‐analysis or the Thakkinstian's method and confirmed by the FPRP criterion. Conclusion The miR‐27a (rs895819) is correlated with elevated CRC risk among overall population and Asians, and the recessive model is found to be optimal for predicting CRC risk. Additionally, the miR‐196a2 (rs11614913), miR‐143/145 (rs41291957), and miR‐34b/c (rs4938723), with the dominant, recessive, and recessive models identified as the optimal, might confer protective effects against CRC among Asians.https://doi.org/10.1002/cam4.70621colorectal cancerfalse positive report probabilitymicroRNAnetwork meta‐analysissingle‐nucleotide polymorphismsusceptibility |
| spellingShingle | Qing Liu Ivan Archilla Sandra Lopez‐Prades Ferran Torres Jordi Camps Miriam Cuatrecasas Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium Cancer Medicine colorectal cancer false positive report probability microRNA network meta‐analysis single‐nucleotide polymorphism susceptibility |
| title | Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium |
| title_full | Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium |
| title_fullStr | Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium |
| title_full_unstemmed | Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium |
| title_short | Polymorphic Single‐Nucleotide Variants in miRNA Genes and the Susceptibility to Colorectal Cancer: Combined Evaluation by Pairwise and Network Meta‐Analysis, Thakkinstian's Algorithm and FPRP Criterium |
| title_sort | polymorphic single nucleotide variants in mirna genes and the susceptibility to colorectal cancer combined evaluation by pairwise and network meta analysis thakkinstian s algorithm and fprp criterium |
| topic | colorectal cancer false positive report probability microRNA network meta‐analysis single‐nucleotide polymorphism susceptibility |
| url | https://doi.org/10.1002/cam4.70621 |
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