Methylated Reprimo Cell-Free DNA as a Non-Invasive Biomarker for Gastric Cancer

Restrictions resulting from the COVID-19 pandemic abruptly reversed the slow decline of the diagnosis and mortality rates of gastric cancer (GC). This scenario highlights the importance of developing cost-effective methods for mass screening and evaluation of treatment response. In this study, we evaluated a non-invasive method based on the circulating methylated cell-free DNA (cfDNA) of Reprimo (<i>RPRM</i>), a tumor suppressor gene associated with the development of GC. Methylated <i>RPRM</i> cfDNA was analyzed in three de-identified cohorts: Cohort 1 comprised 81 participants with GC and 137 healthy donors (HDs); Cohort 2 comprised 27 participants with GC undergoing gastrectomy and/or chemotherapy analyzed at the beginning and after three months of treatment; and Cohort 3 comprised 1105 population-based participants in a secondary prevention program who underwent esophagogastroduodenal (EGD) endoscopy. This cohort includes 180 normal participants, 845 participants with premalignant conditions (692 with chronic atrophic gastritis [AG] and 153 with gastric intestinal metaplasia/low-grade dysplasia [GIM/LGD]), 21 with high-grade dysplasia/early GC [HGD/eGC], and 59 with advanced GC [aGC]). A nested case-control substudy was performed using a combination of methylated <i>RPRM</i> cfDNA and pepsinogens (PG)-I/II ratio. The dense CpG island of the promoter region of the <i>RPRM</i> gene was bisulfite sequenced and analyzed to develop a fluorescence-based real-time PCR assay (MethyLight). This assay allows the determination of the absolute number of copies of methylated <i>RPRM</i> cfDNA. A targeted sequence of PCR amplicon products confirmed the gastric origin of the plasma-isolated samples. In Cohort 1, the mean value of GCs (32,240.00 copies/mL) was higher than that of the HD controls (139.00 copies/mL) (<i>p</i> < 0.0001). After dividing this cohort into training-validation subcohorts, we identified an area under the curve of 0.764 (95% confidence interval (CI) = 0.683-0.845) in the training group. This resulted in a cut-off value of 87.37 copies/mL (sensitivity 70.0% and specificity 80.2%). The validation subcohort predicted a sensitivity of 66.67% and a specificity of 83.33%. In Cohort 2 (monitoring treatment response), <i>RPRM</i> levels significantly decreased in responders (<i>p</i> = 0.0042) compared to non-responders. In Cohort 3 (population-based participants), 18.9% %, 24.1%, 30.7%, 47.0%, and 71.2% of normal, AG, GIM/LGD, HGD/eGC, and aGC participants tested positive for methylated <i>RPRM</i> cfDNA, respectively. Overall sensitivity and specificity in distinguishing normal/premalignant conditions vs. GC were 65.0% (95% CI 53.52% to 75.33%) and 75.9% (95% CI 73.16% to 78.49%), respectively, with an accuracy of 75.11% (95% CI 72.45% to 77.64%). Logistic regression analyses revealed an OR of 1.85 (95% CI 1.11-3.07, <i>p</i> = 0.02) and an odds ratio (OR) of 3.9 (95% CI 1.53-9.93, <i>p</i> = 0.004) for the risk of developing GIM/LGD and HGD/eGC, respectively. The combined methylated <i>RPRM</i> cfDNA and PG-I/II ratio reached a sensitivity of 78.9% (95% CI 54.43% to 93.95%) and specificity of 63.04% (95% CI 52.34% to 72.88%) for detecting HGD/eGC vs. three to six age- and sex-matched participants with premalignant conditions. Our results demonstrate that methylated <i>RPRM</i> cfDNA should be considered a direct biomarker for the non-invasive detection of GC and a predictive biomarker for treatment response.

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Journal
International Journal of Molecular Sciences
Published
2025-04-03
DOI
https://doi.org/10.3390/ijms26073333
Citations
3
Primary Topic
Cancer Genomics and Diagnostics
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article
Field-Weighted Citation Impact
2.81

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article

Methylated Reprimo Cell-Free DNA as a Non-Invasive Biomarker for Gastric Cancer

Edmundo Aravena, Alejandro Blanco, María J. Maturana, Maria A. Alarcon et al.
3 citations
International Journal of Molecular Sciences
Cancer Genomics and Diagnostics
2.81
article

Methylated Reprimo Cell-Free DNA as a Non-Invasive Biomarker for Gastric Cancer

Edmundo Aravena, Alejandro Blanco, María J. Maturana, Maria A. Alarcon, Pablo Santoro, Marcelo Garrido, Wilda Olivares, Ricardo Armisén, Alejandro H. Corvalán, Carlos Barrientos, Oslando Padilla, Alfonso Calvo-Belmar
article en
3 citations

Abstract

Restrictions resulting from the COVID-19 pandemic abruptly reversed the slow decline of the diagnosis and mortality rates of gastric cancer (GC). This scenario highlights the importance of developing cost-effective methods for mass screening and evaluation of treatment response. In this study, we evaluated a non-invasive method based on the circulating methylated cell-free DNA (cfDNA) of Reprimo (<i>RPRM</i>), a tumor suppressor gene associated with the development of GC. Methylated <i>RPRM</i> cfDNA was analyzed in three de-identified cohorts: Cohort 1 comprised 81 participants with GC and 137 healthy donors (HDs); Cohort 2 comprised 27 participants with GC undergoing gastrectomy and/or chemotherapy analyzed at the beginning and after three months of treatment; and Cohort 3 comprised 1105 population-based participants in a secondary prevention program who underwent esophagogastroduodenal (EGD) endoscopy. This cohort includes 180 normal participants, 845 participants with premalignant conditions (692 with chronic atrophic gastritis [AG] and 153 with gastric intestinal metaplasia/low-grade dysplasia [GIM/LGD]), 21 with high-grade dysplasia/early GC [HGD/eGC], and 59 with advanced GC [aGC]). A nested case-control substudy was performed using a combination of methylated <i>RPRM</i> cfDNA and pepsinogens (PG)-I/II ratio. The dense CpG island of the promoter region of the <i>RPRM</i> gene was bisulfite sequenced and analyzed to develop a fluorescence-based real-time PCR assay (MethyLight). This assay allows the determination of the absolute number of copies of methylated <i>RPRM</i> cfDNA. A targeted sequence of PCR amplicon products confirmed the gastric origin of the plasma-isolated samples. In Cohort 1, the mean value of GCs (32,240.00 copies/mL) was higher than that of the HD controls (139.00 copies/mL) (<i>p</i> < 0.0001). After dividing this cohort into training-validation subcohorts, we identified an area under the curve of 0.764 (95% confidence interval (CI) = 0.683-0.845) in the training group. This resulted in a cut-off value of 87.37 copies/mL (sensitivity 70.0% and specificity 80.2%). The validation subcohort predicted a sensitivity of 66.67% and a specificity of 83.33%. In Cohort 2 (monitoring treatment response), <i>RPRM</i> levels significantly decreased in responders (<i>p</i> = 0.0042) compared to non-responders. In Cohort 3 (population-based participants), 18.9% %, 24.1%, 30.7%, 47.0%, and 71.2% of normal, AG, GIM/LGD, HGD/eGC, and aGC participants tested positive for methylated <i>RPRM</i> cfDNA, respectively. Overall sensitivity and specificity in distinguishing normal/premalignant conditions vs. GC were 65.0% (95% CI 53.52% to 75.33%) and 75.9% (95% CI 73.16% to 78.49%), respectively, with an accuracy of 75.11% (95% CI 72.45% to 77.64%). Logistic regression analyses revealed an OR of 1.85 (95% CI 1.11-3.07, <i>p</i> = 0.02) and an odds ratio (OR) of 3.9 (95% CI 1.53-9.93, <i>p</i> = 0.004) for the risk of developing GIM/LGD and HGD/eGC, respectively. The combined methylated <i>RPRM</i> cfDNA and PG-I/II ratio reached a sensitivity of 78.9% (95% CI 54.43% to 93.95%) and specificity of 63.04% (95% CI 52.34% to 72.88%) for detecting HGD/eGC vs. three to six age- and sex-matched participants with premalignant conditions. Our results demonstrate that methylated <i>RPRM</i> cfDNA should be considered a direct biomarker for the non-invasive detection of GC and a predictive biomarker for treatment response.

International Journal of Molecular SciencesVol. 26(7)
Universidad del Desarrollo (CL), Pontificia Universidad Católica de Chile (CL), Clínica Alemana (CL), Fundación Arturo López Pérez (CL), Complejo Asistencial Sótero del Río (CL), Hospital San Borja Arriarán (CL)
Fondo de Fomento al Desarrollo Científico y Tecnológico
Openalex Percentile: Top 10%
Cancer Genomics and Diagnostics
2.81
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