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2,448 result(s) for "CEA"
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Near-infrared light-enhanced colorimetric signal amplification strategy for tumor marker detection based on MoS.sub.2/CuO/Au nanocomposite
A novel signal amplification strategy was developed by combining near-infrared light with MoS.sub.2/CuO/Au nanocomposite for building a colorimetric immunoassay. First, MoS.sub.2/CuO/Au nanocomposite was synthesized by precipitation and photoreduction methods and characterized by scanning electron microscopy (SEM) and X-ray powder diffraction (XRD). MoS.sub.2/CuO/Au nanocomposite has oxidase-like activity and can oxidize TMB to form a blue product (TMBox). Further, the catalytic oxidation of TMB was accelerated under near-infrared (NIR) laser radiation. The sandwich-type colorimetric immunoassay was constructed using MoS.sub.2/CuO/Au nanocomposite. Under the enhancement of near-infrared light, carcinoembryonic antigen (CEA) was sensitively detected in the range 0.1 to 40 ng/mL with the limit of detection of 0.03 ng/mL. Moreover, the immunosensor has excellent selectivity and anti-interference, good repeatability, and stability. Graphical
Sporadic medullary thyroid carcinoma with a rare RET transmembrane domain mutation
Medullary thyroid carcinoma Is a rare thyroid malignancy derived from parafollicular C cells that Is frequently driven by activating mutations In the REarranged during Transfection (RET proto-oncogene. While most actionable RET mutations are located in the extracellular cysteine-rich or intracellular tyrosine kinase domains, mutations in the transmembrane domain are exceedingly rare and their oncogenic significance remains unclear. We report a case of a 59-year-old male with sporadic medullary thyroid carcinoma harboring a rare RET A641R mutation in the transmembrane domain. The patient experienced multiple locoregional recurrences after four surgical resections. While the companion diagnostic test did not identify RET mutations, comprehensive genomic profiling using a next-generation sequencing panel revealed the RET A641R mutation. Following administration of selpercatinib, a selective RET inhibitor, a rapid biochemical response with decreased serum carcinoembryonic antigen and calcitonin levels was observed, and radiological assessment showed partial response. This is the first report demonstrating the clinical efficacy of selpercatinib in a patient with medullary thyroid carcinoma harboring a RETA641R mutation, supporting the oncogenic potential of this rare variant. This case also emphasizes the importance of comprehensive genomic profiling in identifying rare but actionable RET alterations that are undetectable by targeted sequencing companion diagnostic tests. Selpercatinib may represent an effective therapeutic option for patients with medullary thyroid carcinoma driven by uncommon RET mutations, including mutations in the transmembrane domain.
Development and validation of reassigned CEA, CYFRA21-1 and NSE-based models for lung cancer diagnosis and prognosis prediction
Background The majority of lung cancer(LC) patients are diagnosed at advanced stage with a poor prognosis. However, there is still no ideal diagnostic and prognostic prediction model for lung cancer. Methods Data of CEA, CYFRA21-1 and NSE test of patients with LC and benign lung diseases (BLDs) or healthy people from Physical Examination Center was collected. Samples were divided into three data sets as needed. Reassign three kinds of tumor markers (TMs) according to their distribution characteristics in different populations. Diagnostic and prognostic models were thus established, and independent validation was conducted with other data sets. Results The diagnostic prediction model showed good discrimination ability: the area under the receiver operating characteristic curve (AUC) differentiated LC from healthy people and BLDs (diagnosed within 2 months), being 0.88 and 0.84 respectively. Meanwhile, the prognostic prediction model did great in prediction: AUC in training data set and test data set were 0.85 and 0.8 respectively. Conclusion Reassigned CEA, CYFRA21-1 and NSE can effectively predict the diagnosis and prognosis of LC. Compared with the same TMs that were considered individually, this diagnostic prediction model can identify high-risk population for LC screening more accurately. The prognostic prediction model could be helpful in making more scientific treatment and follow-up plans for patients.
Carcinoembryonic antigen-related cell adhesion molecules (CEACAMs) in cancer progression and metastasis
The discovery of the carcinoembryonic antigen (CEA) as a tumor marker for colorectal cancer some 50 years ago became the first step in the identification of a much larger family of 12 carcinoembryonic antigen-related cell adhesion molecules (CEACAMs) with surprisingly diverse functions in cell adhesion, in intracellular and intercellular signaling, and during complex biological processes such as cancer progression, inflammation, angiogenesis, and metastasis. The development of proper molecular and biochemical tools and mouse models has enabled bidirectional translation of the CEACAM network biology. Indeed, CEACAM1, CEACAM5, and CEACAM6 are now considered valid clinical biomarkers and promising therapeutic targets in melanoma, lung, colorectal, and pancreatic cancers. These fascinating proteins illustrate how a better understanding of the CEACAM family of cell adhesion molecules reveals their functional link to the underlying disease and lead to new monitoring and targeting opportunities.
Preoperative serum CA19-9 should be routinely measured in the colorectal patients with preoperative normal serum CEA: a multicenter retrospective cohort study
Objective Whether preoperative serum carbohydrate antigen 19–9 (CA19-9) is an independent prognostic factor and there are interactions of serum CA19-9 with carcinoembryonic antigen (CEA) on the risk of recurrence in colorectal cancer (CRC) patients are still not clarified. Methods Consecutive patients with CRC who underwent curative resection for stage II-III colorectal adenocarcinoma at five hospitals were collected. Based on Cox models, associations of preoperative CA19-9 with recurrence-free survival (RFS) and overall survival (OS) were evaluated in patients with or without elevated CEA, and interactions between CEA and CA19-9 were also calculated. Restricted cubic spline (RCS) curves were used to evaluate the associations between preoperative CA19-9 and CRC outcomes on a continuous scale. Results A total of 5048 patients (3029 [60.0%] men; median [interquartile range, IQR] age, 61.0 [51.0, 68.0] years; median [IQR] follow-up duration 46.8 [36.5–62.4] months) were included. The risk of recurrence increased with the elevated level of preoperative CA19-9, with the slope steeper in patients with normal CEA than those with elevated CEA. Worse RFS was observed for elevated preoperative CA19-9 (> 37 U/mL) ( n  = 738) versus normal preoperative CA19-9 (≤ 37 U/mL) ( n  = 4310) (3-year RFS rate: 59.4% versus 78.0%; unadjusted hazard ratio [HR]: 2.02; 95% confidence interval [CI]:1.79 to 2.28), and significant interaction was found between CA19-9 and CEA (P for interaction = 0.001). Increased risk and interaction with CEA were also observed for OS. In the Cox multivariable analysis, elevated CA19-9 was associated with shorter RFS and OS regardless of preoperative CEA level, even after adjustment for other prognostic factors (HR: 2.08, 95% CI:1.75 to 2.47; HR: 2.25, 95% CI:1.80 to 2.81). Subgroup analyses and sensitivity analyses yielded largely similar results. These associations were maintained in patients with stage II disease ( n  = 2724). Conclusions Preoperative CA19-9 is an independent prognostic factor in CRC patients. Preoperative CA19-9 can be clinically used as a routine biomarker for CRC patients, especially with preoperative normal serum CEA.
Bifunctional photoelectrochemical aptasensor based on heterostructured Ag.sub.3PO.sub.4/Ag/TiO.sub.2 nanorod array for determination of two tumor markers
Constructing of heterostructures can significantly improve the photoelectrical (PEC) response signal by promoting the migration and suppressing the recombination of photogenerated carries. A bifunctional PEC sensing platform was designed for simultaneous high-performance detection of mucin-1 (MUC1) and carcinoembryonic antigen (CEA), which was based on generated Z-scheme heterostructured Ag.sub.3PO.sub.4/Ag/TiO.sub.2 nanorod arrays (NAs) and enzyme-mediated catalytic precipitation by alkaline phosphatase (ALP) and Au/hollow Co.sub.3O.sub.4 polyhedron. The proposed aptasensor displayed linear ranges of 1.0-100 ng mL.sup.-1 and 0.1-50 ng mL.sup.-1 for MUC1 and CEA with limit of detections of 0.430 and 0.058 ng mL.sup.-1, respectively. This strategy offers potential applications for early diagnosis, monitoring progression, and even evaluating the prognosis of breast cancer in practice. Graphical
Diagnostic Value of a Combined Serum alpha-Hydroxybutyrate Dehydrogenase, Carcinoembryonic Antigen and Glycoantigen 125 Test for Early-Stage Breast Cancer
Objective: To investigate the diagnostic value of the combined detection of [alpha]-hydroxybutyrate dehydrogenase ([alpha]-HBDH), carcinoembryonic antigen (CEA) and cancer antigen 125 (CA125) in early-stage breast cancer (ESBC). Methods: This was a retrospective analysis of 169 patients with ESBC, 138 patients with benign breast disease (BBD) and 200 normal healthy controls (NHCs). The levels of serum [alpha]-HBDH, CEA and CA125 in the two groups were detected. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to analyse the diagnostic value of the above indicators alone and in combination for ESBC. Results: The levels of [alpha]-HBDH, CEA and CA125 in the ESBC group were significantly higher than those in the BBD and NHC groups ([118.18 [+ or -] 11.19 vs 91.24 [+ or -] 9.17 vs 89.38 [+ or -] 9.01, F = 6.189, p = 0.004], [2.39 [+ or - ] 1.12 vs 1.48 [+ or -] 0.76 vs 1.58 [+ or -] 0.58, F = 5.362, p = 0.017] and [14.44 [+ or -] 6.78 vs 11.19 [+ or -] 3.17 vs 7.18 [+ or -] 4.71, F = 8.912, p = 0.001], respectively). In the ESBC group, the positive rate of combined detection was higher than that of single detection (96.12% vs 72.64% vs 53.67% vs 42.41%, [X.sup.2] = 27.174, p < 0.05). ROC curve analysis showed that serum [alpha]-HBDH, CEA, CA125 alone and combined detection in the diagnosis of ESBC. The sensitivity was 48.1%, 63.6%, 44.2% and 54.5%, the specificity was 75.4%, 75.4%, 86.0% and 91.2% and the AUC was 0.654, 0.715, 0.636 and 0.772, respectively. The diagnostic value of combined detection was the highest. Conclusion: The levels of serum [alpha]-HBDH, CEA and CA125 in ESBC are high, and the combined detection of the three has a high diagnostic value for ESBC. Keywords: breast cancer, [alpha]-hydroxybutyrate dehydrogenase, CA125, carcinoembryonic antigen, diagnosis
Gold/WS.sub.2 nanocomposites fabricated by in-situ ultrasonication and assembling for photoelectrochemical immunosensing of carcinoembryonic antigen
Tungsten disulfide (WS.sub.2) nanosheets were obtained by exfoliating WS.sub.2 bulk crystals in N-methylpyrrolidone by ultrasonication. Gold nanoparticles (GNPs) were synthesized by in-situ ultrasonication of sodium citrate and HAuCl.sub.4 while fabricating the WS.sub.2 nanosheets. In this way, the GNPs were self-assembled on WS.sub.2 nanosheets to form a GNPs/WS.sub.2 nanocomposite through interaction between sulfur and gold atoms. The photoelectrochemical response of WS.sub.2 nanosheets is significantly enhanced after integration of the GNPs. The GNPs/WS.sub.2 nanocomposite was coated onto a glassy carbon electrode (GCE) to construct a sensing interface which then was modified with an antibody against the carcinoembryonic antigen (CEA) to obtain a photoelectrochemical immunosensor for CEA. Under optimized conditions, the decline in relative photocurrent is linearly related to the logarithm of the CEA concentration in the range from 0.001 to 40 ng mL.sup.-1. The detection limit is 0.5 pg mL.sup.-1 (at S/N = 3). The assay is sensitive, selective, stable and reproducible. It was applied to the determination of CEA in clinical serum samples.
Avoid being trapped by your liver: ischemia-reperfusion injury in liver transplant triggers SIP-mediated NETosis
Liver transplantation can be a life-saving treatment for end-stage hepatic disease. Unfortunately, some recipients develop ischemia-reperfusion injury (IRI) that leads to poor short- and long-term outcomes. Recent work has shown neutrophils contribute to IRI by undergoing NETosis, a form of death characterized by DNA ejection resulting in inflammatory extracellular traps. In this issue of the JCI, Hirao and Kojima et al. report that sphingosine-1-phosphate (S1P) expression induced by liver transplant-mediated IRI triggers NETosis. They also provide evidence that neutrophil expression of the carcinoembryonic antigen-related cell adhesion molecule-1 (CC1) long isoform inhibited NETosis by controlling S1P receptor-mediated autophagic flux. These findings suggest stimulating regulatory mechanisms that suppress NETosis could be used to prevent IRI.
Smartphone-imaged multilayered paper-based analytical device for colorimetric analysis of carcinoembryonic antigen
Paper-based immunoassays are effective methods that employ microfluidic paper-based analytical devices (μPADs) for the rapid, simple, and accurate quantification of analytes in point-of-care diagnosis. In this study, we developed a wax-printed multilayered μPAD for the colorimetric detection of carcinoembryonic antigen (CEA), where the device contained a movable and rotatable detection layer to allow the μPAD to switch the state of the sample solutions, i.e., flowing or storing in the sensing zones. A smartphone with a custom-developed program served as an automated colorimetric reader to capture and analyze images from the μPAD, before calculating and displaying the test results. After optimizing the crucial conditions for the assay, the proposed method exhibited a wide linear dynamic range from 0.5 to 70 ng/mL, with a low CEA detection limit of 0.015 ng/mL. The clinical performance of this method was successfully validated using 50 positive and 40 negative human serum samples, thereby demonstrating the high sensitivity of 98.0% and specificity of 97.5% in the detection of CEA. The proposed method is greatly simplified compared with the cumbersome steps required for traditional immunoassays, but without any loss of accuracy and stability, as well as reducing the time needed to detect CEA. Complex and bulky instruments are replaced with a smartphone. The proposed detection platform could potentially be applied in point-of-care testing.