A novel non-invasive colorectal cancer diagnostic method: Volatile organic compounds as biomarkers

Alustiza, Miren; Ripoll, Laura; Canals, Antonio; Murcia, Óscar; Martínez-Roca, Alejandro; García-Heredia, Anabel; Giner-Calabuig, Mar; Jover, Rodrigo; Vidal, Lorena

doi:10.1016/j.cca.2023.117273

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…8 The intestinal microbiota produces gut metabolites derived in a large proportion from indigestible components of the diet that when released and analyzed ex vivo represent biomarkers that have been associated with different pathological states, including colorectal cancer. 9 Fecal volatile organic compounds (FVOCs, produced by endogenous metabolic activities) can potentially be used as an alternative non-invasive approach to assist in the diagnosis or in monitoring of T2DM. Specifically, short-chain fatty acids (SCFAs; acetic, propionic, and butyric acid) are metabolites produced by the interaction of the intestinal microbiota and complex carbohydrates that regulate glucose uptake, insulin sensitivity, and inflammation in the host.…”

Section: Introductionmentioning

confidence: 99%

“…As the Mexican diet is characterized by a low level of consumption of dietary fiber, it would explain the dysbiosis of the intestinal microbiota that has been associated with the development of chronic degenerative diseases . The intestinal microbiota produces gut metabolites derived in a large proportion from indigestible components of the diet that when released and analyzed ex vivo represent biomarkers that have been associated with different pathological states, including colorectal cancer . Fecal volatile organic compounds (FVOCs, produced by endogenous metabolic activities) can potentially be used as an alternative non-invasive approach to assist in the diagnosis or in monitoring of T2DM.…”

Section: Introductionmentioning

confidence: 99%

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Feeding Habits, Nutritional Condition, Fecal Intestinal Metabolites, and Risk of Developing Diabetes Mellitus II in the Mexican Population: A Cross-Sectional Study

García-Martínez

Alarcón-Domínguez

Velasco-González

et al. 2023

ACS Food Sci. Technol.

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Early identification of type 2 diabetes mellitus (T2DM) risk factors prevents its consequences. Fecal volatile organic compounds (FVOCs) can serve as disease biomarkers. The objective was to compare nutritional condition, feeding habits, and FVOCs into low-risk and high-risk (HR) T2DM developed in the Mexican population. A cross-sectional study was conducted in healthy adult volunteers between 18 and 59 years of age from Tepic, Nayarit, Mexico. The FVOCs p-cresol and acetic, propionic, butyric, and valeric acids were evaluated. The values of body mass index (BMI), body fat, visceral fat index, metabolic age, and basal metabolic rate were higher in the HR group. In addition, high total calorie intakes and high macronutrient calorie intakes were found in the HR group. Both groups showed the same values for the evaluated FVOCs. Through principal component analysis, it was found that when BMI, metabolic age, weight, and visceral fat index increase, adults will be more likely to be at high risk for developing T2DM.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feeding Habits, Nutritional Condition, Fecal Intestinal Metabolites, and Risk of Developing Diabetes Mellitus II in the Mexican Population: A Cross-Sectional Study

García-Martínez

Alarcón-Domínguez

Velasco-González

et al. 2023

ACS Food Sci. Technol.

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Diagnostic performance of volatile organic compounds analysis and electronic noses for detecting colorectal cancer: a systematic review and meta-analysis

Wang,

Fang,

Tan

et al. 2024

Front. Oncol.

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IntroductionThe detection of Volatile Organic Compounds (VOCs) could provide a potential diagnostic modality for the early detection and surveillance of colorectal cancers. However, the overall diagnostic accuracy of the proposed tests remains uncertain.ObjectiveThis systematic review is to ascertain the diagnostic accuracy of using VOC analysis techniques and electronic noses (e-noses) as noninvasive diagnostic methods for colorectal cancer within the realm of clinical practice.MethodsA systematic search was undertaken on PubMed, EMBASE, Web of Science, and the Cochrane Library to scrutinize pertinent studies published from their inception to September 1, 2023. Only studies conducted on human subjects were included. Meta-analysis was performed using a bivariate model to obtain summary estimates of sensitivity, specificity, and positive and negative likelihood ratios. The Quality Assessment of Diagnostic Accuracy Studies 2 tool was deployed for quality assessment. The protocol for this systematic review was registered in PROSPERO, and PRISMA guidelines were used for the identification, screening, eligibility, and selection process.ResultsThis review encompassed 32 studies, 22 studies for VOC analysis and 9 studies for e-nose, one for both, with a total of 4688 subjects in the analysis. The pooled sensitivity and specificity of VOC analysis for CRC detection were 0.88 (95% CI, 0.83-0.92) and 0.85 (95% CI, 0.78-0.90), respectively. In the case of e-nose, the pooled sensitivity was 0.87 (95% CI, 0.83-0.90), and the pooled specificity was 0.78 (95% CI, 0.62-0.88). The area under the receiver operating characteristic analysis (ROC) curve for VOC analysis and e-noses were 0.93 (95% CI, 0.90-0.95) and 0.90 (95% CI, 0.87-0.92), respectively.ConclusionThe outcomes of this review substantiate the commendable accuracy of VOC analysis and e-nose technology in detecting CRC. VOC analysis has a higher specificity than e-nose for the diagnosis of CRC and a sensitivity comparable to that of e-nose. However, numerous limitations, including a modest sample size, absence of standardized collection methods, lack of external validation, and a notable risk of bias, were identified. Consequently, there exists an imperative need for expansive, multi-center clinical studies to elucidate the applicability and reproducibility of VOC analysis or e-nose in the noninvasive diagnosis of colorectal cancer.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/#recordDetails, identifier CRD42023398465.

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Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis

et al. 2023

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Many patients with colorectal cancer (CRC) are diagnosed in the advanced stage, resulting in delayed treatment and reduced survival time. It is urgent to develop accurate early screening methods for CRC. The purpose of this study is to develop an artificial intelligence (AI)-based artificial neural network (ANN) model using multiple protein tumor markers to assist in the early diagnosis of CRC and precancerous lesions. In this retrospective analysis, 148 cases with CRC and precancerous diseases were included. The concentrations of multiple protein tumor markers (CEA, CA19-9, CA 125, CYFRA 21-1, CA 72-4, CA 242) were measured by electrochemical luminescence immunoassays. By combining these markers with an ANN algorithm, a diagnosis model (CA6) was developed to distinguish between normal healthy and abnormal subjects, with an AUC of 0.97. The prediction score derived from the CA6 model also performed well in assisting in the diagnosis of precancerous lesions and early CRC (with AUCs of 0.97 and 0.93 and cut-off values of 0.39 and 0.34, respectively), which was better than that of individual protein tumor indicators. The CA6 model established by ANN provides a new and effective method for laboratory auxiliary diagnosis, which might be utilized for early colorectal lesion screening by incorporating more tumor markers with larger sample size.

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A novel non-invasive colorectal cancer diagnostic method: Volatile organic compounds as biomarkers

Cited by 4 publications

References 32 publications

Feeding Habits, Nutritional Condition, Fecal Intestinal Metabolites, and Risk of Developing Diabetes Mellitus II in the Mexican Population: A Cross-Sectional Study

Feeding Habits, Nutritional Condition, Fecal Intestinal Metabolites, and Risk of Developing Diabetes Mellitus II in the Mexican Population: A Cross-Sectional Study

Diagnostic performance of volatile organic compounds analysis and electronic noses for detecting colorectal cancer: a systematic review and meta-analysis

Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis

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