{"id":2067,"date":"2026-08-27T13:12:39","date_gmt":"2026-08-27T13:12:39","guid":{"rendered":"https:\/\/alu.ugr.es\/bioinfo\/?page_id=2067"},"modified":"2026-08-30T11:01:50","modified_gmt":"2026-08-30T11:01:50","slug":"group-publications","status":"publish","type":"page","link":"https:\/\/alu.ugr.es\/bioinfo\/?page_id=2067","title":{"rendered":"Group Publications"},"content":{"rendered":"\n

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134 entries<\/span> «<\/a> ‹<\/a> 1 of 3 ›<\/a> »<\/a> <\/div><\/div>

2026<\/h3>

Xu, Mengfei; Molina, Mariano A; G\u00f3mez-Mart\u00edn, Cristina; Dekker, Maaike M H S; Ghasemi, Saba; de Rooij, Johan; Pegtel, D Michiel; van Trommel, Nienke E; Steenbergen, Renske D M<\/p>

Discovery and analytical assessment of urinary miRNA biomarkers for cervical cancer using advanced small RNA sequencing<\/a> Journal Article<\/span> <\/p>

In: <\/span>Transl Oncol, <\/span>vol. 71, <\/span>pp. 102857, <\/span>2026<\/span>, ISSN: 1936-5233<\/span>.<\/p>

Abstract<\/a><\/span> | Links<\/a><\/span> | BibTeX<\/a><\/span><\/p>

@article{pmid42302479,
\r\ntitle = {Discovery and analytical assessment of urinary miRNA biomarkers for cervical cancer using advanced small RNA sequencing},
\r\nauthor = {Mengfei Xu and Mariano A Molina and Cristina G\u00f3mez-Mart\u00edn and Maaike M H S Dekker and Saba Ghasemi and Johan de Rooij and D Michiel Pegtel and Nienke E van Trommel and Renske D M Steenbergen},
\r\ndoi = {10.1016\/j.tranon.2026.102857},
\r\nissn = {1936-5233},
\r\nyear  = {2026},
\r\ndate = {2026-09-01},
\r\njournal = {Transl Oncol},
\r\nvolume = {71},
\r\npages = {102857},
\r\nabstract = {Cervical cancer is primarily caused by persistent infection with high-risk human papillomavirus (hrHPV), which alters host RNA expression, including regulatory microRNAs (miRNAs). Because urine is emerging as a convenient biosource for cancer detection, we evaluated the feasibility of urinary miRNAs as non-invasive biomarkers for cervical cancer. We optimized miRNA isolation from whole urine and urine fractions using commercial RNA extraction kits, spike-in controls, and digital nanoplate PCR. Following identification of optimal conditions, IsoSeek small RNA sequencing was performed to profile miRNA expression in urine from women with cervical cancer (n = 20) and age-matched controls (n = 20). Differentially expressed candidates were then analytically confirmed by RT-qPCR. The Norgen RNA isolation kit applied to whole urine provided the most robust miRNA recovery. Sequencing identified significantly altered urinary levels of hsa-miR-143-3p and hsa-miR-204-3p in cervical cancer. The ratio of these miRNAs showed strong discriminatory performance for detecting cervical cancer using IsoSeek (AUC = 0.93) and remained robust after RT-qPCR analysis in the same cohort (AUC = 0.84). These findings support the feasibility of using urinary miRNA profiling for non-invasive biomarker discovery and highlight the hsa-miR-143-3p\/hsa-miR-204-3p ratio as a promising candidate marker for cervical cancer detection.},
\r\nkeywords = {},
\r\npubstate = {published},
\r\ntppubtype = {article}
\r\n}
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Cervical cancer is primarily caused by persistent infection with high-risk human papillomavirus (hrHPV), which alters host RNA expression, including regulatory microRNAs (miRNAs). Because urine is emerging as a convenient biosource for cancer detection, we evaluated the feasibility of urinary miRNAs as non-invasive biomarkers for cervical cancer. We optimized miRNA isolation from whole urine and urine fractions using commercial RNA extraction kits, spike-in controls, and digital nanoplate PCR. Following identification of optimal conditions, IsoSeek small RNA sequencing was performed to profile miRNA expression in urine from women with cervical cancer (n = 20) and age-matched controls (n = 20). Differentially expressed candidates were then analytically confirmed by RT-qPCR. The Norgen RNA isolation kit applied to whole urine provided the most robust miRNA recovery. Sequencing identified significantly altered urinary levels of hsa-miR-143-3p and hsa-miR-204-3p in cervical cancer. The ratio of these miRNAs showed strong discriminatory performance for detecting cervical cancer using IsoSeek (AUC = 0.93) and remained robust after RT-qPCR analysis in the same cohort (AUC = 0.84). These findings support the feasibility of using urinary miRNA profiling for non-invasive biomarker discovery and highlight the hsa-miR-143-3p\/hsa-miR-204-3p ratio as a promising candidate marker for cervical cancer detection.<\/div>
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