Comprehensive analysis of marker gene detection and computed tomography for the diagnosis of human lung cancer

Cheng, Min; Sun, Xiaosong; Cheng, Kailiang; Lv, Zhongwen; Sun, Changjiang; Xiu, Dianhui; Liu, Lin

doi:10.3892/ol.2018.9211

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…It should be noted that age is also a risk factor for NSCLC, further research is needed to explore whether there is a biological significance between CAC and age. The serum level of NSE had a significant correlation with nodular diameter, which can be explained by tumour burden [ 29 , 30 ]. PNAIDS only showed a correlation with the type of nodule, suggesting the independence of imaging features and the value of imaging data for early screening of lung cancer.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules

et al. 2022

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Background The accuracy of CT and tumour markers in screening lung cancer needs to be improved. Computer-aided diagnosis has been reported to effectively improve the diagnostic accuracy of imaging data, and recent studies have shown that circulating genetically abnormal cell (CAC) has the potential to become a novel marker of lung cancer. The purpose of this research is explore new ways of lung cancer screening. Methods From May 2020 to April 2021, patients with pulmonary nodules who had received CAC examination within one week before surgery or biopsy at First Affiliated Hospital of Zhengzhou University were enrolled. CAC counts, CT scan images, serum tumour marker (CEA, CYFRA21–1, NSE) levels and demographic characteristics of the patients were collected for analysis. CT were uploaded to the Pulmonary Nodules Artificial Intelligence Diagnostic System (PNAIDS) to assess the malignancy probability of nodules. We compared diagnosis based on PNAIDS, CAC, Mayo Clinic Model, tumour markers alone and their combination. The combination models were built through logistic regression, and was compared through the area under (AUC) the ROC curve. Results A total of 93 of 111 patients were included. The AUC of PNAIDS was 0.696, which increased to 0.847 when combined with CAC. The sensitivity (SE), specificity (SP), and positive (PPV) and negative (NPV) predictive values of the combined model were 61.0%, 94.1%, 94.7% and 58.2%, respectively. In addition, we evaluated the diagnostic value of CAC, which showed an AUC of 0.779, an SE of 76.3%, an SP of 64.7%, a PPV of 78.9%, and an NPV of 61.1%, higher than those of any single serum tumour marker and Mayo Clinic Model. The combination of PNAIDS and CAC exhibited significantly higher AUC values than the PNAIDS (P = 0.009) or the CAC (P = 0.047) indicator alone. However, including additional tumour markers did not significantly alter the performance of CAC and PNAIDS. Conclusions CAC had a higher diagnostic value than traditional tumour markers in early-stage lung cancer and a supportive value for PNAIDS in the diagnosis of cancer based on lung nodules. The results of this study offer a new mode of screening for early-stage lung cancer using lung nodules.

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Section: Discussionmentioning

confidence: 99%

Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules

et al. 2022

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“…CEA production by colon carcinoma cells was investigated utilizing an ELISA (enzyme-linked immunosorbent assay) kit [ 36 ] after the cells were filtered via NM and PLGA/SK filters. The colon carcinoma cells in the feed, recovered solution, and permeation solution as well as the migrated cells were cultured on TCP plates for 6 days, and the culture medium was changed with fresh culture medium on day 2 and 4.…”

Section: Methodsmentioning

confidence: 99%

Purification of Colon Carcinoma Cells from Primary Colon Tumor Using a Filtration Method via Porous Polymeric Filters

et al. 2021

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Cancer stem cells (CSCs) or cancer-initiating cells (CICs) are key factors for tumor generation and metastasis. We investigated a filtration method to enhance CSCs (CICs) from colon carcinoma HT-29 cells and primary colon carcinoma cells derived from patient colon tumors using poly(lactide-co-glycolic acid)/silk screen (PLGA/SK) filters. The colon carcinoma cell solutions were permeated via porous filters to obtain a permeation solution. Then, the cell cultivation media were permeated via the filters to obtain the recovered solution, where the colon carcinoma cells that adhered to the filters were washed off into the recovered solution. Subsequently, the filters were incubated in the culture media to obtain the migrated cells via the filters. Colon carcinoma HT-29 cells with high tumorigenicity, which might be CSCs (CICs), were enhanced in the cells in the recovered solution and in the migrated cells based on the CSC (CIC) marker expression, colony-forming unit assay, and carcinoembryonic antigen (CEA) production. Although primary colon carcinoma cells isolated from colon tumor tissues contained fibroblast-like cells, the primary colon carcinoma cells were purified from fibroblast-like cells by filtration through PLGA/SK filters, indicating that the filtration method is effective in purifying primary colon carcinoma cells.

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“…First discovered by Gold and Freedman in 1965, carcinoembryonic antigen (CEA) is an antigen produced by many human tumors, including breast, lung, and colorectal cancer . Multiple studies have linked raised CEA levels to poor disease prognosis. − As CEA is upregulated in ∼90% of advanced CRC, routine CEA blood tests are taken after curative-intent surgery, with 3–7 ng/mL usually prompting further investigation. Hence, the ability to detect CEA (and other cancer biomarkers) permits earlier disease diagnosis, assessment, and recurrence monitoring while opening avenues for novel treatment timing strategies …”

Section: Introductionmentioning

confidence: 99%

Gold Nanotapes and Nanopinecones in a Quantitative Lateral Flow Assay for the Cancer Biomarker Carcinoembryonic Antigen

Fox,

Batchelor,

Roberts

et al. 2023

ACS Appl. Nano Mater.

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Colorectal cancer is the third most common malignancy and the second leading cause of cancer death globally. Multiple studies have linked levels of carcinoembryonic antigen in patient serum to poor disease prognosis. Hence, the ability to detect low levels of carcinoembryonic antigen has applications in earlier disease diagnosis, assessment, and recurrence monitoring. Existing carcinoembryonic antigen detection methods often require multiple reagents, trained operators, or complex procedures. A method alleviating these issues is the lateral flow assay, a paper-based platform that allows the detection and quantification of target analytes in complex mixtures. The tests are rapid, are point-of-care, possess a long shelf life, and can be stored at ambient conditions, making them ideal for use in a range of settings. Although lateral flow assays typically use spherical gold nanoparticles to generate the classic red signal, recent literature has shown that alternate morphologies to spheres can improve the limit of detection. In this work, we report the application of alternative gold nanoparticle morphologies, gold nanotapes (∼35 nm in length) and gold nanopinecones (∼90 nm in diameter), in a lateral flow assay for carcinoembryonic antigen. In a comparative assay, gold nanopinecones exhibited a ∼2× improvement in the limit of detection compared to commercially available spherical gold nanoparticles for the same antibody loading and total gold content, whereas the number of gold nanopinecones in each test was ∼3.2× less. In the fully optimized test, a limit of detection of 14.4 pg/mL was obtained using the gold nanopinecones, representing a 24-fold improvement over the previously reported gold-nanoparticle-based carcinoembryonic antigen lateral flow assay.

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Comprehensive analysis of marker gene detection and computed tomography for the diagnosis of human lung cancer

Cited by 4 publications

References 33 publications

Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules

Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules

Purification of Colon Carcinoma Cells from Primary Colon Tumor Using a Filtration Method via Porous Polymeric Filters

Gold Nanotapes and Nanopinecones in a Quantitative Lateral Flow Assay for the Cancer Biomarker Carcinoembryonic Antigen

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