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. 2022 Oct 24;12(11):2573. doi: 10.3390/diagnostics12112573

Table 2.

Overview of reviewed studies regarding the use of cyst fluid for risk stratification of branch duct IPMNs.

Author Molecular Marker(s) Key Findings Diagnostic Parameters Conclusions
Singhi (2018) [16] TP53, PIK3CA, PTEN, KRAS, GNAS Combination of KRAS/GNAS and TP53/PTEN/CDKN2A indicates advanced neoplasia Analysis of KRAS/GNAS and TP53/PTEN/CDKN2A was 100% specific and 89% sensitive for advanced neoplasia The integration of molecular testing in pre-operative patients can be useful in predicting future risk of malignancy
Hata (2018) [17] Telomere fusions Branch duct IPMN cyst fluid aspirates revealed no telomere fusions in low grade lesions, however prevalence increased with advancing histologic grade Prevalence of telomere fusions:
Low grade 0%
Intermediate 15.4%
High 26.9%
Cancer 42.9%
p = 0.025
Telomere fusions can be readily detected in cyst fluid and are helpful in predicting the grade of dysplasia
Shirakami (2021) [18] miR-711, miR-3679-5p, miR-6126, miR-6780b-5p, miR-6798-5p, and miR-6879-5p Six miRNAs were significantly elevated in the cyst fluid of branch duct IPMN with carcinoma when compared to benign branch duct IPMNs Differences in miRNA levels between low-grade and high-grade lesions were all statistically significant (p < 0.05) Certain miRNAs are elevated in the cyst fluid of cancerous lesions thus offering the potential to predict high risk lesions requiring surgical resection
Hata (2017) [19] SOX17, PTCHD2, BNIP3, FOXE1, SLIT2, EYA4, and SFRP1 Gene methylation patterns can accurately distinguish between advanced neoplasia and low-grade lesions (all but BNIP3) Single marker:
SOX17 sensitivity 83%, specificity 82%
Two gene:
SOX17/FOXE1 or EYA4 accuracy 86%
Four gene:
FOXE1/SLIT2/EYA4/SFRP1 accuracy 88%, 84% sensitivity, and 89% specificity
Cyst fluid analysis of gene methylation patterns, whether single gene or in combination, can accurately distinguish between advanced neoplasia and low-grade lesions
Majumder (2019) [20] TBX15 and BMP3 Two gene methylation analysis can discriminate between advanced neoplasia and low-grade lesions Combination of methylated TBX15 and BMP3 had sensitivity 90% and specificity of 92% for detecting advanced neoplasia Methylation analysis of this two gene combination can be useful in predicting grade of dysplasia
Singhi (2016) [26] TP53, PIK3CA, PTEN Molecular analysis of cyst fluid was able to detect advanced neoplasia via mutations in TP53, PIK3CA, and/or PTEN Detected branch duct IPMN harboring advanced neoplasia with 91% sensitivity and 97% specificity Integration of molecular analysis in PCLs can better detect cysts with advanced neoplasia than AGA guidelines
Khalid (2009) [29] KRAS, allelic loss, DNA quantity 10/40 malignant cysts had negative cytology, all of which could be diagnosed as malignant with high amplitude KRAS mutation in conjunction with high amplitude allelic loss High amplitude KRAS mutation followed by allelic loss: 96% specific and 37% sensitive for malignancy in the cyst Increased cyst fluid DNA quantity, high-amplitude mutations, and allelic loss can be used to predict malignancy, especially when cytology is negative
Springer (2015) [30] SMAD4, LOH in RNF43 and TP53, Chromosomal aneuploidy Analysis for SMAD4, TP53, LOH in chromosome 17, or aneuploidy of 5p, 8p, 13q, or 18q could correctly identify high-grade dysplasia or invasive cancer. This could reduce unnecessary operations by 91% The panel could identify patients requiring surgery with 75% sensitivity and 92% specificity Molecular analysis of cyst fluid can be used to risk-stratify cysts with malignant potential and can reduce the amount of unnecessary operations
Rosenbaum (2017) [32] TP53, SMAD4, CDKN2A, NOTCH1 NGS revealed mutations in TP53, SMAD4, CDKN2A, and NOTCH1 to only be present within malignant cysts. These mutations had 100% specificity and 46% sensitivity for carcinoma Variants in TP53, SMAD4, CDKN2A, and NOTCH1 favor the diagnosis of high-risk cyst and warrant surgery or further investigation
Fujikura (2021) [33] KLF4 KLF4 mutations detected in cyst fluid samples were significantly more prevalent in cysts with low grade dysplasia KLF4 prevalence:
Low grade 50%
Intermediate 39%
High 15%
High and low grade IPMNs have distinct molecular pathways with KLF4 mutations being enriched in the low grade pathway
Simpson (2018) [35] DNA quantity, LOH in tumor suppressor High DNA quantity in conjunction with high clonality LOH in tumor suppressor genes could detect advanced neoplasia High quantity DNA and LOH had specificity of 99%, PPV 60%, and diagnostic accuracy of 91% for advanced lesions Increased DNA quantity along with LOH in tumor suppressors can be predictive of high-risk lesions