Combined Methylation Analysis of SDC2 and TFPI2 in Plasma: A Noninvasive Liquid Biopsy Approach for Early Detection of Colorectal Polyp. Article Swipe
YOU?
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· 2025
· Open Access
·
· DOI: https://doi.org/10.22088/ijmcm.bums.14.2.646
Early detection is crucial for improving survival rates in colorectal cancer (CRC). This study evaluates the non-invasive diagnosis of polyps by assessing the methylation status of the TFPI2 and SDC2 genes in plasma. This study enrolled 27 individuals with low-risk polyps (LRP), 27 with high-risk polyps (HRP), and 27 healthy controls. The quantitative methylation levels of TFPI2 and SDC2 genes were analyzed in plasma cell-free DNA (cfDNA) using the methylation-quantification endonuclease-resistant DNA (MethyQESD) method. Increased methylation percentages of both TFPI2 (TFPI2_1 and TFPI2_2) and SDC2 (SDC2_2) were observed in individuals with LRP and HRP. The combination of SDC2 and TFPI2 yielded an Area Under the Curve (AUC) of 0.732 (95% CI 0.78 to 0.96, p=0.001) with a sensitivity of 66% (95% CI 46% - 82%) and specificity of 77% (95 CI 56% - 91%) for LRP. For HRP, the AUC was 0.890 (95% CI 0.596 to 0.843, p<0.001) with a sensitivity of 70% (95% CI 51% - 84%) and specificity of 92% (95 CI 75% - 99%). The combined assessment of SDC2 and TFPI2 methylation presents a potential approach for the early non-invasive detection of CRC and its associated precancerous lesions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://pubmed.ncbi.nlm.nih.gov/40765756
- OA Status
- green
- References
- 2
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413039617Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22088/ijmcm.bums.14.2.646Digital Object Identifier
- Title
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Combined Methylation Analysis of SDC2 and TFPI2 in Plasma: A Noninvasive Liquid Biopsy Approach for Early Detection of Colorectal Polyp.Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Milad Khabbazpour, Mohammad Heiat, Ashraf Karbasi, Majid Zaki‐DizajiList of authors in order
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https://pubmed.ncbi.nlm.nih.gov/40765756Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/12321302Direct OA link when available
- Concepts
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Liquid biopsy, Medicine, Biopsy, Methylation, Pathology, Internal medicine, Chemistry, Cancer, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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2Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Increased | 74 |
| abstract_inverted_index.assessing | 21 |
| abstract_inverted_index.cell-free | 64 |
| abstract_inverted_index.controls. | 50 |
| abstract_inverted_index.detection | 1, 183 |
| abstract_inverted_index.diagnosis | 17 |
| abstract_inverted_index.evaluates | 14 |
| abstract_inverted_index.high-risk | 44 |
| abstract_inverted_index.improving | 5 |
| abstract_inverted_index.potential | 177 |
| abstract_inverted_index.assessment | 169 |
| abstract_inverted_index.associated | 188 |
| abstract_inverted_index.colorectal | 9 |
| abstract_inverted_index.(MethyQESD) | 72 |
| abstract_inverted_index.combination | 95 |
| abstract_inverted_index.individuals | 37, 89 |
| abstract_inverted_index.methylation | 23, 53, 75, 174 |
| abstract_inverted_index.percentages | 76 |
| abstract_inverted_index.sensitivity | 117, 150 |
| abstract_inverted_index.specificity | 126, 159 |
| abstract_inverted_index.non-invasive | 16, 182 |
| abstract_inverted_index.precancerous | 189 |
| abstract_inverted_index.quantitative | 52 |
| abstract_inverted_index.endonuclease-resistant | 70 |
| abstract_inverted_index.methylation-quantification | 69 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.46241298 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |