Diagnostic Accuracy of FOBT and Colorectal Cancer Genetic Testing: A Systematic Review &amp; Meta-Analysis

Ramdzan, Abdul Rahman; Rahim, Muhammad Aklil Abd; Zaki, Aznida Mohamad; Zaidun, Zuraidah; Nawi, Azmawati Mohammed

doi:10.5334/aogh.2466

Cited by 22 publications

(29 citation statements)

References 37 publications

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“…The statistically significant p value was set to 0.0167 in a one-way analysis of variance (ANOVA). Levels of FIBA 202-210 and PF4 [54][55][56][57][58][59][60][61][62] (p = 0.0134) increased in late-stage CRC groups compared to the HC group (Figure 1). Levels of ITIH4 [429][430][431][432][433][434][435][436][437][438] (p = 0.036), APOE [198][199][200][201][202][203][204][205][206][207] (p < 0.0001), and CFAH [58][59][60][61][62][63][64][65][66][67] decreased in early-stage CRC groups compared to the HC group.…”

Section: Targeted Lc-ms/msmentioning

confidence: 95%

“…These selected peptides corresponding to differentially expressed WGA-captured plasma proteins were then analyzed using an Agilent 6470 instrument to examine the quality of signals on a triple quadrupole. We discovered that only two methylated peptides and four unmodified peptides satisfied a signal-to noise ratio (S/N) of >5, including ADLS*GITGAR (AACT 341-350 ), HITSLEVIK (PF4 [54][55][56][57][58][59][60][61][62] ), LALDNGGLAR (ITIH4 [429][430][431][432][433][434][435][436][437][438] ), LGPLVEQGR (APOE [198][199][200][201][202][203][204][205][206][207] ), QLEQVIAK (FIBA [202][203][204][205][206][207][208][209][210] ), and SLGN*VIMVCR (CFAH [58][59][60][61][62][63][64][65][66][67] ) (* indicates a methylated site, Table S2). Information on targeted transitions, optimized collisions, and fragmentors is summarized in Table S2.…”

Section: Discovery Msmentioning

confidence: 99%

“…To further examine the biomarker performance, a stable isotope-labeled MRM assay with machine learning algorithms was used to validate the performance of the diagnostic biomarkers. In short, after biomarker discovery and analytical method development, 80 plasma samples from healthy controls (HCs) and 206 plasma samples from patients with CRC were analyzed; a set of biomarkers consisting of platelet factor 4 (PF4 [54][55][56][57][58][59][60][61][62], apolipoprotein E (APOE [198][199][200][201][202][203][204][205][206][207] ) and inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4 [429][430][431][432][433][434][435][436][437][438] ) showed significant differences among HCs, early-stage CRC patients, and late-stage CRC patients. Moreover, machine learning algorithms and logistic regression were incorporated to combine the diagnostic performances of the biomarkers.…”

Section: Introductionmentioning

confidence: 99%

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Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction Monitoring

Tsai

et al. 2021

Cancers

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Colorectal cancer (CRC) is currently the third leading cause of cancer-related mortality in the world. U.S. Food and Drug Administration-approved circulating tumor markers, including carcinoembryonic antigen, carbohydrate antigen (CA) 19-9 and CA125 were used as prognostic biomarkers of CRC that attributed to low sensitivity in diagnosis of CRC. Therefore, our purpose is to develop a novel strategy for novel clinical biomarkers for early CRC diagnosis. We used mass spectrometry (MS) methods such as nanoLC-MS/MS, targeted LC-MS/MS, and stable isotope-labeled multiple reaction monitoring (MRM) MS coupled to test machine learning algorithms and logistic regression to analyze plasma samples from patients with early-stage CRC, late-stage CRC, and healthy controls (HCs). On the basis of our methods, 356 peptides were identified, 6 differential expressed peptides were verified, and finally three peptides corresponding wheat germ agglutinin (WGA)-captured proteins were semi-quantitated in 286 plasma samples (80 HCs and 206 CRCs). The novel peptide biomarkers combination of PF454–62, ITIH4429–438, and APOE198–207 achieved sensitivity 84.5%, specificity 97.5% and an AUC of 0.96 in CRC diagnosis. In conclusion, our study demonstrated that WGA-captured plasma PF454–62, ITIH4429–438, and APOE198–207 levels in combination may serve as highly effective early diagnostic biomarkers for patients with CRC.

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Section: Targeted Lc-ms/msmentioning

confidence: 95%

Section: Discovery Msmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction Monitoring

Tsai

et al. 2021

Cancers

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“…Although FOBT exhibits high specificity in CRC diagnosis, the sensitivity of it is unsatisfactory. 4 In this situation, identifying novel clinically A three-miRNA panel in serum as a noninvasive biomarker for colorectal cancer detection available biomarkers for CRC detection is of great significance.…”

Section: Introductionmentioning

confidence: 99%

A three-miRNA panel in serum as a noninvasive biomarker for colorectal cancer detection

et al. 2020

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Background: Circulating miRNAs have been proved to be promising biomarkers for disease detection in recent years. The present study aimed at exploring available serum miRNA biomarkers for the detection of colorectal cancer. Methods: A three-phase study was performed to select and validate candidate miRNAs with significant dysregulation in colorectal cancer using quantitative reverse transcription-polymerase chain reaction. This study recruited 137 colorectal cancer patients and 145 healthy controls. The diagnostic values of miRNAs were evaluated by receiver operating characteristic analysis. Bioinformatics analyses were utilized to predict target genes of miRNAs, and to conduct functional annotation and enrichment. Results: miR-30e-3p, miR-31-5p, miR-34b-3p and miR-146a-5p, miR-148a-3p and miR-192-5p were significantly dysregulated in colorectal cancer serum when compared with healthy controls. The panel composed of miR-30e-3p, miR-146a-5p, and miR-148a-3p exhibited strong diagnostic ability. The area under the receiver operating characteristic curve of the three-miRNA panel was 0.883, with a sensitivity of 0.800 and specificity of 0.787. Conclusion: The present study identified a three-miRNA panel in serum with a strong diagnostic ability of colorectal cancer, which may be able to serve as a novel noninvasive biomarker for colorectal cancer detection.

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“…Any diseases with intestional bleeding such as enteritis, diverticulitis, inflammation bowel disease (IBD) and so on may produce false positive; at the same time, if the colon neoplasm does not bleed, it will appear false negative. Therefore, a supplementary of iFOBT should be developed [21][22]. The detection of tumor molecular markers in stool is a valuable screening method for colorectal cancer.…”

Section: Discussionmentioning

confidence: 99%

The Value of Multi-targeted Fecal DNA Methylation Detection for Colorectal Cancer Screening in a Chinese Population

Jin¹,

Wang²,

Zhang³

2021

J. Cancer

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Objective: To design a multi-targeted fecal DNA methylation kit and explore its value for clinical application among Chinese people. Methods: Based on previous research, a multi-targeted fecal DNA methylation detection kit, using four genes, was designed and clinically validated. Results: The methylation PCR from 279 patients met the requirements for the detection criteria. When all four molecular markers were negative, the negative predictive value (NPV) for colorectal cancer was 100% and the NPV for colorectal polyps was 84.21%. When one molecular marker was positive, the sensitivity (Se) for colorectal cancer was 76.4%-90.3%, the specificity (Sp) was 68.3-93.4%, and the positive predictive value (PPV) for colorectal cancer was 54.5-85.5%, and the NPV was 87.0-95.0%. For colorectal polyps, the Se was 41.0-52.5%, Sp 69.5-91.5%, and the PPV for colorectal polyps was 41.0-70.3%, the NPV was 75.2-79.3%. When two molecular markers were positive, the Se for colorectal cancer was 52.6-73.7%, the Sp was 93.2-98.3%, the PPV for colorectal cancer was 84.6-96.2%, the NPV was 76.0-85.3%. For colorectal polyps, the Se was 25.9-40.7%, Sp was 93.2-98.3%, PPV for screening of colorectal polyps was 63.6-90.0%, and the NPV was 73.3-78.1%. When three molecular markers were positive, the Se for colorectal cancer was 31.6-52.6%, the Sp was 98.3-100.0%, the PPV for colorectal cancer was 94.4-100.0%, the NPV was 73.4-76.6%. For colorectal polyps, the Se was 14.8-25.9%, and Sp was 98.3-100.0%, the PPV for colorectal polyps was 85.7-100.0%, the NPV was 72.0-74.7%. When four molecular markers were positive, the Se for colorectal cancer was 31.6%, the Sp was 100.0%, and the colorectal cancer PPV was 100.0% and the NPV was 69.4%. For polyps, the Se was 14.8%, Sp was 100.0%, and PPV was 100.0% and the NPV was 72.0%. Conclusion: The multi-targeted fecal DNA methylation detection kit for colorectal cancer and polyps had the sensitivity and specificity to meet the requirements for screening of colorectal tumors, which is easy to operate, has stable results and important clinical value. Among the four molecular markers studied, when one marker was positive for DNA methylation, colonoscopy was required; as the number of positive methylation markers increased, the specificity for the diagnosis gradually increased as well.

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Diagnostic Accuracy of FOBT and Colorectal Cancer Genetic Testing: A Systematic Review & Meta-Analysis

Cited by 22 publications

References 37 publications

Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction Monitoring

Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction Monitoring

A three-miRNA panel in serum as a noninvasive biomarker for colorectal cancer detection

The Value of Multi-targeted Fecal DNA Methylation Detection for Colorectal Cancer Screening in a Chinese Population

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