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find Keyword "tumor marker" 10 results
  • CLINICAL VALUE OF SERUM TUMOR MARKERS EXPRESSION IN DIAGNOSIS OF PANCREATIC CARCINOMA

    【Abstract】Objective To search for valuable serum tumor markers in diagnosis and prognosis of pancreatic carcinoma. Methods Seven kinds of serum tumor markers including AFP,CEA,CA50, CA15-3,CA19-9,CA72-4 and CA125 were detected in 62 patients with pancreatic carcinoma by Auto DELFIA and IRMA, 16 patients with other gastrointestinal tumors and 16 patients with benign diseases served as control. And 19 patients after pancreatectomy were followed up. Results Among these 7 kinds of tumor markers, CA19-9,CA50 and CA125 were valuable in diagnosis of pancreatic carcinoma. CA19-9 was the most valuable one, whose sensitivity and specificity were 90.6% and 86.7% respectively. After resection of the tumor, the 3 markers tended to decrease significantly. Conclusion Serum CA19-9,CA50 and CA125 were valuable in diagnosis and following up of pancreatic carcinoma.

    Release date:2016-08-28 05:30 Export PDF Favorites Scan
  • Early Diagnosis and Treatment of Solitary Pulmonary Nodules

    ObjectiveTo explore clinical strategies of early diagnosis and treatment of solitary pulmonary nodules (SPN), and define the importance of biological tumor markers, preoperative CT-guided localization with the combination of methylene blue and hookwire system, and video-assisted thoracoscopic surgery (VATS)for early diagnosis and treatment of SPN. MethodsWe retrospectively analyzed clinical records of 70 SPN patients in Department of Thoracic Surgery of Taixing People's Hospital from January 2011 to February 2014. There were 33 male and 37 female patients with their age of 32-87 (59.74±2.04)years. Preoperatively, patients' medical history, heart, lung, liver and kidney function, sputum cytology and bronchoscopic biopsy results were combined with biological tumor markers to make a preliminary differential diagnosis between benign or malignant SPN and surgical risk evaluation. For SPN less than 1 cm or too small for accurate intraoperative localization, CT-guided localization with the combination of methylene blue and hookwire system was routinely performed half an hour before the operation. For SPN large enough for accurate intraoperative localization, wedge resection of SPN and surrounding lung tissue was directly performed with VATS. Intraoperative frozen-section examination of resected lung specimens was preformed. If the pathological diagnosis was malignant, conventional VATS lobectomy/segmentectomy and lymphadenectomy were performed. If the pathological diagnosis was benign, the operation was then completed. Long-term follow-up was performed for SPN patients, especially patients with early-stage lung cancer. ResultsThere was no in-hospital death or postoperative bronchopleural fistula in this study. Postoperatively, there were 2 patients with pneumonia, 3 patients with pneumothorax and 1 patient with wound infection, who were all cured or improved after proper treatment. Among the 70 patients, 11 patients acquired pathological diagnosis via preoperative lung needle biopsy. Among the other 59 patients, 12 patients with eccentric SPN acquired pathological diagnosis via intraoperative biopsy, and 47 patients underwent SPN resection with VATS. Pathological diagnosis included adenocarcinoma in 19 patients, squamous cell carcinoma in 9 patients, bronchioloalveolar carcinoma in 3 patients, adenosquamous carcinoma in 2 patients, inflammatory pseudotumor in 11 patients, tuberculoma in 4 patients, granuloma in 5 patients, sclerosing hemangioma in 2 patients, lung metastasis from breast cancer in 1 patient, lung metastasis from colon cancer in 1 patient, lung metastasis from thyroid cancer in 1 patient, and lung metastasis from stomach cancer in 1 patient. All the 70 patients (100%)were followed up for a mean duration of 2-34 months, and there was no late death during follow-up. One patient with adenocarcinoma of the right upper lobe had cerebral metastasis 18 months after operation, and had been receiving radiotherapy. All the other patients had a good quality of life. ConclusionAbove clinical strategies are accurate for early diagnosis and minimally invasive treatment of SPN with good postoperative recovery and short-term outcomes.

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  • Research progression of application of imagings and tumor markers in preoperative TN staging of colorectal cancer

    Objective To summarize progress of imagings and tumor markers in preoperative TN staging of colorectal cancer. Methods The domestic and international published literatures related to application of imagings such as EUS, CT, and MRI and tumor markers such as CEA, CA19-9, and CA-242 in preoperative TN staging of colorectal cancer were collected and reviewed. Results The imagings and tumor markers have different values in the preoperative TN staging of colorectal cancer, but the value of a single application is limited. The combination of imagings and tumor markers could improve the diagnostic accuracy of the preoperative TN staging of colorectal cancer. Conclusion In clinical work, combination of imagings and tumor markers should be selected basing on actual situation of patients so as to improve accuracy of preoperative TN staging of colorectal cancer, and guide clinical treatment and improve prognosis of patients.

    Release date:2017-09-18 04:11 Export PDF Favorites Scan
  • The application of silicon nanowires field-effect transistor biosensor in medicine

    Ultra-sensitive and quantitative analysis of proteins, nucleic acid, virus and other biochemical species are critical technologies for effective dianosis of disease, as well as medical studies. Silicon nanowires field-effect transistor (SiNWs-FET) biosensor is one of the most promising powerful platforms for label-free, real-time, ultra-sensitive detection of analyte. Here, the working principle of SiNWs-FET biosensor and the applications of SiNWs-FET biosensors in medicine were introduced. Moreover, the methods for enhancing the sensitivity of SiNWs-FET biosensor were discussed. Lastly, the prospecting of SiNWs-FET biosensor was presented.

    Release date:2017-10-23 02:15 Export PDF Favorites Scan
  • The research progress of relationship between microRNA-200a and the proliferation, metastasis, and prognosis of hepatocellular carcinoma

    Objective The aim of this study is to review the relationship between microRNA (miR)-200a and the proliferation, metastasis, and prognosis of hepatocellular carcinoma (HCC) based on the previous relevant studies. Methods A systematic literature search was performed to identify the related studies. We summarized the expression level of miR-200a in HCC, its roles and mechanisms in proliferation, metastasis, and prognosis of HCC. Results The expressions of miR-200a were down-regulated in HCC tissue, cell, and patients’ serum. The normal expression or the overexpression of miR-200a could significantly inhibite the proliferation, invision, and metastasis of HCC. Moreover, the differentially expressed miR-200a in the tumor tissue or the patient’ serum was potentially valuable for the early diagnosis and prognostic predicting of HCC. Although there had been many advances on miR-200a in HCC, only a few biological functions had been identified. The underlying regulating mechanisms and more targeted genes of miR-200a still needed to be further studied. Conclusion miR-200a not only has an inhibitory effect on the proliferation, invasion, and metastasis of HCC, but also has a certain clinical application value in the early diagnosis and prognosis of HCC.

    Release date:2018-09-11 11:11 Export PDF Favorites Scan
  • Invasiveness evaluation of pulmonary ground-glass nodules by CT features combined with tumor markers: A retrospective cohort study

    Objective To explore the independent risk factors for tumor invasiveness of ground-glass nodules and establish a tumor invasiveness prediction model. Methods A retrospective analysis was performed in 389 patients with ground-glass nodules admitted to the Department of Thoracic Surgery in the First Hospital of Lanzhou University from June 2018 to May 2021 with definite pathological findings, including clinical data, imaging features and tumor markers. A total of 242 patients were included in the study according to inclusion criteria, including 107 males and 135 females, with an average age of 57.98±9.57 years. CT data of included patients were imported into the artificial intelligence system in DICOM format. The artificial intelligence system recognized, automatically calculated and output the characteristics of pulmonary nodules, such as standard diameter, solid component size, volume, average CT value, maximum CT value, minimum CT value, central CT value, and whether there were lobulation, burr sign, pleural depression and blood vessel passing. The patients were divided into two groups: a preinvasive lesions group (atypical adenomatoid hyperplasia/adenocarcinoma in situ) and an invasive lesions group (minimally invasive adenocarcinoma/invasive adenocarcinoma). Univariate and multivariate analyses were used to screen the independent risk factors for tumor invasiveness of ground-glass nodules and then a prediction model was established. The receiver operating characteristic (ROC) curve was drawn, and the critical value was calculated. The sensitivity and specificity were obtained according to the Yorden index. Results Univariate and multivariate analyses showed that central CT value, Cyfra21-1, solid component size, nodular nature and burr of the nodules were independent risk factors for the diagnosis of tumor invasiveness of ground-glass nodules. The optimum critical value of the above indicators between preinvasive lesions and invasive lesions were –309.00 Hu, 3.23 ng/mL, 8.65 mm, respectively. The prediction model formula for tumor invasiveness probability was logit (P)=0.982–(3.369×nodular nature)+(0.921×solid component size)+(0.002×central CT value)+(0.526×Cyfra21-1)–(0.0953×burr). The areas under the curve obtained by plotting the ROC curve using the regression probabilities of regression model was 0.908. The accuracy rate was 91.3%. Conclusion The logistic regression model established in this study can well predict the tumor invasiveness of ground-glass nodules by CT and tumor markers with high predictive value.

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  • Investigations on the relationship between nodule manifestation of malignant pleural lesions under medical thoracoscopy and pleural fluid biochemistry and tumor markers

    ObjectiveTo investigate the relationship between the nodule manifestation of malignant pleural lesions under medical thoracoscopy and pleural fluid biochemistry and tumor marker levels. MethodsA total of 110 patients with malignant pleura, including 90 cases of lung cancer, 18 cases of malignant mesothelioma, 1 case of diffuse large B-cell lymphoma, and 1 case of ovarian serous carcinoma, who were hospitalized in the Department of Respiratory and Critical Care Medicine, East Hospital of Shandong Provincial Hospital from February 2011 to January 2022 were selected as the study subjects. The pleural nodule manifestation was divided into 6 layers were according to the number of pleural nodules in the medical thoracoscopic field, they were divided into 6 layers: non-nodular group, nodular group (pleural nodules of different sizes were distributed); The nodular group was further divided into nodular scattered group (total number of pleural nodules in all fields under thoracoscopy ≤10) and nodular diffuse group (total number of pleural nodules in all fields under thoracoscopy >10); The nodular diffuse group was further divided into the multiple nodules diffused group (the total number of pleural nodules >10 under thoracoscopy and ≤10 nodules in a single microscopic field) and the nodular diffuse patchwork group (the total number of pleural nodules >10 under thoracoscopy and >10 nodules in a single microscopic field). Four biochemical items of pleural fluid, pleural fluid lactate dehydrogenase (LDH), adenosine deaminase (ADA), glucose (GLU), protein quantification (TP) levels and pleural fluid carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125) levels, serum CEA, and serum cytokeratin fragment 19 (CYFRA21-1) levels were measured to compare the expression levels of indicators between the non-nodular group and the nodular group, the nodular scattered group and the nodular diffuse group, the multiple nodules diffused group and the nodular diffuse patchwork group.ResultsThe LDH level in pleural fluid of nodular group was significantly higher than that of non-nodular group (P<0.01). The LDH level in pleural fluid of diffuse nodular group was higher than that of scattered nodular group (P<0.05). Compared to those in multiple nodules diffused group, the levels of LDH and ADA in pleural fluid of nodules patchy diffused group were significantly increased (P<0.01), and the GLU level was decreased (P<0.05). However, there were no statistically significant differences in the length of disease, smoking index, TP in pleural fluid, CEA in pleural fluid, CA125 in pleural fluid, CEA in serum and CYFRA21-1 in serum between the paired groups.ConclusionsThere were differences in the expression levels of LDH, ADA and GLU in pleural fluid of different degrees of malignant pleural lesions. The higher the degree of pleural lesions, the higher the levels of LDH and ADA in pleural fluid and the lower the levels of GLU in pleural fluid.

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  • Expression and prognostic factors analysis of CYFRA21-1, CEA, and Ki67 in non-small cell lung cancer

    Objective To explore the value of preoperative detection of soluble fragments of cytokeratin-19 (CYFRA21-1), carcinoembryonic antigen (CEA), and postoperative detection of nuclear proliferation associated antigen Ki67 in prognostic evaluation of non-small cell lung cancer patients. Methods The clinicopathological data and follow-up results of patients with non-small cell lung cancer treated in the Department of Thoracic Surgery of the First Affiliated Hospital of Xiamen University in 2017 were collected. CYFRA21-1>3.39 ng/mL was defined as positive, and CEA>5 ng/mL was defined as positive. The receiver operating characteristic curve (ROC curve) of Ki67 expression level was drawn. The maximum area under the curve (AUC) was the cutoff value of Ki67 expression level, and the Ki67 expression level greater than its cutoff value was defined as positive. Cox regression analysis was used to determine the independent risk factors for poor prognosis in patients with non-small cell lung cancer. Results Finally 248 patients were collected, including 125 males and 123 females, with a median age of 61 years (ranging from 30 to 81 years) at the time of surgery. Univariate analysis showed that positive CYFRA21-1, high expression of Ki67, positive CEA, age≥60 years at operation, distant metastasis, lymph node metastasis, maximum tumor diameter>3 cm, and TNM stage Ⅲ were associated with poor prognosis in patients with non-small cell lung cancer. When combined detection of preoperative tumor markers and postoperative Ki67, the prognosis of all negative patients was the best, and that of all positive patients was the worst. Cox regression analysis showed that positive CEA+positive CYFRA21-1+high expression of Ki67 was an independent risk factor for poor prognosis in patients with non-small cell lung cancer (P<0.05). Conclusion The combined detection of preoperative serum CYFRA21-1, CEA, and postoperative Ki67 has important value in evaluating the prognosis of non-small cell lung cancer patients.

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  • Construction and evaluation of a predictive model for the infiltration degree of solitary pulmonary pure ground-glass nodules based on CT, blood cell parameters, and tumor markers

    Objective To develop and assess the performance of a predictive model for the infiltration degree of solitary pulmonary pure ground-glass nodules (pGGN) using CT, blood cell parameters, and tumor markers. Methods The clinical data of patients with solitary pulmonary pGGN, collected from Tangshan Gongren Hospital between June 2021 and April 2024, were analyzed. They were divided into a training set and a test set in a 7∶3 ratio. Lasso-logistic regression was used to identify risk factors for invasive adenocarcinoma and construct the model. The model's performance was assessed using receiver operating characteristic (ROC) curves, calibration curves, mean absolute error (MAE), mean squared error (MSE), and accuracy. Results The study included 528 patients (265 males, 263 females) with a median age of 54 years (interquartile range: 45-59). Lasso-logistic regression identified increased diameter, vascular convergence sign, pleural indentation sign, elevated mean CT value, and elevated carcinoembryonic antigen levels as independent risk factors for solitary pulmonary pGGN infiltration. In contrast, a rounded or similarly rounded shape and an elevated platelet-to-lymphocyte ratio were independent protective factors (P<0.05). In the training set, the area under the ROC curve of model Z (comprising diameter, vascular convergence sign, pleural indentation sign, rounded or similarly rounded, mean CT value, carcinoembryonic antigen, and platelet-to-lymphocyte ratio) was 0.875, which was greater than that of model C (comprising diameter, vascular convergence sign, pleural indentation sign, rounded or similarly rounded, and mean CT value; 0.852) and model S (comprising carcinoembryonic antigen and platelet-to-lymphocyte ratio; 0.753). The MAE, MSE, and accuracy of model Z were 0.035, 0.003, and 0.808, respectively, which were lower than those of model C (0.058, 0.006, and 0.827) and higher than those of model S (0.031, 0.001, and 0.648). In the test set, the area under the ROC curve, MAE, MSE, and accuracy of model Z were 0.829, 0.051, 0.004, and 0.755, respectively, which were higher than those of model C (0.780, 0.038, 0.002, and 0.730) and model S (0.740, 0.042, 0.002, and 0.692). Conclusion The model constructed from diameter, vascular convergence sign, pleural indentation sign, rounded or similarly rounded shapes, mean CT value, carcinoembryonic antigen, and platelet-to-lymphocyte ratio aids in assessing the infiltration degree of pulmonary pGGN, with superior performance compared to models based solely on CT or those based on tumor markers combined with blood cell parameters.

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  • Construction of a predictive model for poorly differentiated adenocarcinoma in pulmonary nodules using CT combined with tumor markers

    ObjectiveTo establish and validate a predictive model for solid and partially solid lung nodules as poorly differentiated adenocarcinoma based on CT imaging and tumor marker results. MethodsPatients who underwent lung nodule surgery at the Department of Thoracic Surgery, the Affiliated Brain Hospital of Nanjing Medical University in 2023 were selected and randomly divided into a training set and a validation set at a ratio of 7:3. Patient CT features, including average density value, maximum diameter, pleural indentation sign, and bronchial inflation sign, as well as patient tumor marker results, were collected. Based on postoperative pathological results, patients were divided into a poorly differentiated adenocarcinoma group and a non-poorly differentiated adenocarcinoma group. Univariate analysis and logistic regression analysis were performed on the training set to establish the predictive model. The receiver operator characteristic (ROC) curve was used to evaluate the model's discriminability, the calibration curve to assess the model's consistency, and the decision curve to evaluate the clinical value of the model, which was then validated in the validation set. ResultsA total of 299 patients were included, with 103 males and 196 females, with a median age of 57 (51.00, 67.25) years; 211 patients in the training set and 88 patients in the validation set. Multivariate analysis showed that carcinoembryonic antigen (CEA) value [OR=1.476, 95%CI (1.184, 1.983), P=0.002], cytokeratin 19 fragment antigen (CYFRA21-1) value [OR=1.388, 95%CI (1.084, 1.993), P=0.035], maximum tumor diameter [OR=6.233, 95%CI (1.069, 15.415), P=0.017], and average CT value [OR=1.083, 95%CI (1.020, 1.194), P=0.040] were independent risk factors for solid and partially solid lung nodules as poorly differentiated adenocarcinoma. Based on this, a predictive model was constructed with an area under the ROC curve of 0.896 [95%CI (0.810, 0.988)], a maximum Youden index corresponding cut-off value of 0.103, sensitivity of 0.936, and specificity of 0.750. Using the Bootstrap method for 1000 samplings, the calibration curve predicted probability was consistent with actual risk. Decision curve analysis indicated positive benefits across all prediction probabilities, demonstrating good clinical value. ConclusionFor patients with solid and partially solid lung nodules, preoperative use of CT to measure tumor average density value and maximum diameter, combined with tumor markers CEA and CYFRA21-1 values, can effectively predict whether it is poorly differentiated adenocarcinoma, allowing for early intervention.

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