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Simple diagnosis of cancer by detecting CEA and CYFRA 21-1 in saliva using electronic sensors.

ABSTRACT: One way of early diagnosis of cancer is by detecting the biomarkers that get introduced into easily accessible body fluids. We report the development of portable and rapid electronic biosensors for quantitative detection of two secretive cancer biomarkers-Carcinoembryonic antigen (CEA) and Cytokeratin fragment 19 (CYFRA 21-1). The reduced graphene oxide (rGO)/ melamine (MEL)/antibodies/ bovine serum albumin (BSA) based devices were tested for 1 pg/mL to 800 ng/mL of CEA and CYFRA 21-1. The responses of the sensors ranged from 7.14 to 59.1% and from 6.18 to 64% for 1 pg/mL to 800 ng/mL CEA and CYFRA 21-1 respectively. A read-out circuit was assembled to develop a portable prototype which was used to assess the concentrations of the two antigens present in saliva samples of 14 subjects. The prototype could accurately discriminate between 9 oral squamous cell carcinoma patients and 5 healthy controls.

SUBMITTER: Joshi S

PROVIDER: S-EPMC9468134 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Simple diagnosis of cancer by detecting CEA and CYFRA 21-1 in saliva using electronic sensors.

Joshi Sowmya S Kallappa Shashidhar S Kumar Pranjal P Shukla Sudhanshu S Ghosh Ruma R

Scientific reports 20220912 1

One way of early diagnosis of cancer is by detecting the biomarkers that get introduced into easily accessible body fluids. We report the development of portable and rapid electronic biosensors for quantitative detection of two secretive cancer biomarkers-Carcinoembryonic antigen (CEA) and Cytokeratin fragment 19 (CYFRA 21-1). The reduced graphene oxide (rGO)/ melamine (MEL)/antibodies/ bovine serum albumin (BSA) based devices were tested for 1 pg/mL to 800 ng/mL of CEA and CYFRA 21-1. The respo ...[more]

PMID: 36097151

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Project description:Background: The microbiome is increasingly being linked to cancer risk. Little is known about the lung and oral cavity microbiomes in healthy smokers (SM), and even less for electronic cigarette (EC) users, compared healthy never-smokers (NS). Methods: In a cross-sectional pilot study of SM (N=8), EC users (N=10) and NS (N=10) saliva and bronchoscopy-collected bronchoalveolar lavage samples were collected. Bacteria species were identified through metatranscriptome profiling by RNA-sequencing to study associations with the lung and oral microbiome. Pairwise comparisons and linear modeling was assessed with false discovery rates <0.1. Results: Total bacterial load was similar for the SM, EC users and NS, and there was no differences in the bacterial diversity across groups. In the lung, there were 44 bacterial species that were statistically significantly different for SM/NS, 80% of which were decreased in the SM. There were 12 bacterial species that were different for SM/EC users, all of which were decreased, 10 of which were also identified in the SM/NS comparison. The 2 bacterial species unique to SM/EC comparison were Neisseria sp. KEM232 and Curvibacter sp. AEP1-3. From the top 5 decreased species in SM/EC, 3 were also identified in the SM/NS comparison (Neisseria elongata, Neisseria sicca, and Haemophilus parainfluenzae) and 2 of these were unique to the SM/EC comparison (Neisseria zoodegmatis and Ottowia sp. oral taxon 894). There were 8 species increased in SM compared to NS, none of which are known to be clinically significant. In the oral microbiome, 152 bacteria species were differentially abundant for the SM/NS analysis, and only 17 for the EC/NS comparison, all which were also present in SM/NS comparisons. There were 21 bacteria that were differentially abundant in both the lung and oral cavity for SM and NS, 95% also were decreased in the SM. Conclusion: Smoking and EC use do not appear to materially affect the lung microbiome, although differences are noted of unclear clinical significance. Most differentially abundant bacteria decreased, which may be due to a toxic effect of cigarette smoke, including a change in humidity or heating. Given the low number of overlapping oral and lung microbes, the oral microbiome does not appear to be a good surrogate for smoking-related effects in the lung.

Project description:PURPOSE: Among diverse tumor markers, pretreatment evaluation and follow-up detection of recurrence in colorectal cancer are generally evaluated by serum carcinoembryonic antigen (CEA) levels. However, there have been some reports about the low accuracy and high false-positive results of CEA in colorectal cancer. We investigated the clinical utilities of CYFRA 21-1 by comparing CEA and cancer antigen 19-9 (CA 19-9) in pretreatment and recurrent colorectal cancer. METHODS: Using a solid-phase immunoradiometric assay, serum levels of CYFRA 21-1, CEA and CA 19-9 were analyzed in 132 patients with primary colorectal cancer, 124 healthy controls, 104 patients with benign colorectal disease and 19 patients with recurrent colorectal cancer. We determined three different cutoff values to evaluate the sensitivity of diagnostic performance in pretreatment and recurrent colorectal cancer. RESULTS: CYFRA 21-1 (? 1.13 ng/ml) had a sensitivity of 47 %, compared with 37 % for CEA (? 3.05 ng/ml) and 32.6 % for CA 19-9 (? 23.1 ng/ml) in the initial staging of primary colorectal cancer. Using different cutoff values, CYFRA 21-1 showed higher sensitivity for pretreatment colorectal cancer than CEA and CA 19-9 in adenocarcinoma and adenosquamous carcinoma of this study. A mildly significant correlative relationship was noted between Dukes' stages and three tumor markers (p?<?0.01). The areas under the receiver operating characteristic curves of CYFRA 21-1, CEA and CA 19-9 were 0.81?±?0.03, 0.74?±?0.03 and 0.62?±?0.04, respectively, for discriminating colorectal cancer patients from patients with benign colorectal disease. In addition, CYFRA 21-1 was determined as the most sensitive tumor marker for evaluating recurrent colorectal cancer for all cutoff values. CONCLUSION: This study showed that CYFRA 21-1 could be a useful and dependable tumor marker for pretreatment and recurrent colorectal cancer. Further prospective studies on its usefulness with respect to the prognosis and utility of combined tumor markers are needed.

Dataset Information

Simple diagnosis of cancer by detecting CEA and CYFRA 21-1 in saliva using electronic sensors.

Publications

Simple diagnosis of cancer by detecting CEA and CYFRA 21-1 in saliva using electronic sensors.

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